results: select damaging Dillavou update bias

18 files changed, 1778 insertions, 0 deletions

diff --git a/results/ep_bias/dillavou_s0b/centered_clean.json b/results/ep_bias/dillavou_s0b/centered_clean.json
new file mode 100644
index 0000000..ecf9ce1
--- /dev/null
+++ b/results/ep_bias/dillavou_s0b/centered_clean.json
@@ -0,0 +1,81 @@
+{
+  "schema": "rain_ep_structured_bias_screen_v1",
+  "sdil": {
+    "revision": "138955f8365bc3086de8b8ff3b7f36f48070f602"
+  },
+  "author": {
+    "repository": "https://github.com/rain-neuromorphics/energy-based-learning",
+    "revision": "6b253fd8a5d267535f58ab79992256ef10031ceb"
+  },
+  "protocol": {
+    "dataset": "FashionMNIST",
+    "network": "author comparative-study ConvHopfieldEnergy32",
+    "network_protocol": "comparative32",
+    "algorithm": "equilibrium propagation",
+    "beta_policy": "centered",
+    "beta_seed": 7100,
+    "beta_value": 0.25,
+    "adapter": "dillavou",
+    "mode": "clean",
+    "bias_ratio": 0.0,
+    "dillavou_drift_ratio": 0.0,
+    "dillavou_calibration_steps": 1,
+    "predictor_rate": 1.0,
+    "neutral_cadence": 0,
+    "layer_calibration_steps": 1,
+    "layer_bias_normalization": "clean_difference",
+    "calibration_batches": 0,
+    "calibration_observations": 0,
+    "calibration_seconds": 4.76837158203125e-07,
+    "extra_equilibrium_phases_for_predictor": 0,
+    "predictor_neutral_source": "instruction_off_local_update_probe",
+    "bias_ratio_normalization": "initial_clean_local_update_rms_for_simulation_only",
+    "bias_ratio_normalization_visible_to_predictor": false,
+    "epochs": 1,
+    "train_limit": 10000,
+    "test_limit": 2000,
+    "evaluation_split": "train_holdout",
+    "data_seed": 6200,
+    "batch_size": 100,
+    "training_iterations": 15,
+    "inference_iterations": 60,
+    "schedule_epochs": 100,
+    "seed": 1988,
+    "device": "cuda",
+    "determinism": "best_effort_warn_only",
+    "autodiff_used_for_learning": false
+  },
+  "hardware": {
+    "torch_version": "2.3.1+cu118",
+    "torch_cuda_version": "11.8",
+    "cuda_visible_devices": "6",
+    "device_name": "NVIDIA GeForce GTX 1080"
+  },
+  "metrics": [
+    {
+      "epoch": 1,
+      "train_accuracy": 0.2805,
+      "train_cost": 0.4179134355545044,
+      "test_accuracy": 0.5085,
+      "test_cost": 0.3253386163711548,
+      "finite": true,
+      "corrector": {},
+      "wall_seconds": 147.13633942604065
+    }
+  ],
+  "epochs_completed": 1,
+  "beta_sign_counts": {
+    "positive": 100,
+    "negative": 100
+  },
+  "final": {
+    "epoch": 1,
+    "train_accuracy": 0.2805,
+    "train_cost": 0.4179134355545044,
+    "test_accuracy": 0.5085,
+    "test_cost": 0.3253386163711548,
+    "finite": true,
+    "corrector": {},
+    "wall_seconds": 147.13633942604065
+  }
+}
diff --git a/results/ep_bias/dillavou_s0b/centered_raw_selected.json b/results/ep_bias/dillavou_s0b/centered_raw_selected.json
new file mode 100644
index 0000000..a7e7d4e
--- /dev/null
+++ b/results/ep_bias/dillavou_s0b/centered_raw_selected.json
@@ -0,0 +1,99 @@
+{
+  "schema": "rain_ep_structured_bias_screen_v1",
+  "sdil": {
+    "revision": "138955f8365bc3086de8b8ff3b7f36f48070f602"
+  },
+  "author": {
+    "repository": "https://github.com/rain-neuromorphics/energy-based-learning",
+    "revision": "6b253fd8a5d267535f58ab79992256ef10031ceb"
+  },
+  "protocol": {
+    "dataset": "FashionMNIST",
+    "network": "author comparative-study ConvHopfieldEnergy32",
+    "network_protocol": "comparative32",
+    "algorithm": "equilibrium propagation",
+    "beta_policy": "centered",
+    "beta_seed": 7100,
+    "beta_value": 0.25,
+    "adapter": "dillavou",
+    "mode": "raw",
+    "bias_ratio": 1.0,
+    "dillavou_drift_ratio": 0.0,
+    "dillavou_calibration_steps": 1,
+    "predictor_rate": 1.0,
+    "neutral_cadence": 0,
+    "layer_calibration_steps": 1,
+    "layer_bias_normalization": "clean_difference",
+    "calibration_batches": 0,
+    "calibration_observations": 0,
+    "calibration_seconds": 4.76837158203125e-07,
+    "extra_equilibrium_phases_for_predictor": 0,
+    "predictor_neutral_source": "instruction_off_local_update_probe",
+    "bias_ratio_normalization": "initial_clean_local_update_rms_for_simulation_only",
+    "bias_ratio_normalization_visible_to_predictor": false,
+    "epochs": 1,
+    "train_limit": 10000,
+    "test_limit": 2000,
+    "evaluation_split": "train_holdout",
+    "data_seed": 6200,
+    "batch_size": 100,
+    "training_iterations": 15,
+    "inference_iterations": 60,
+    "schedule_epochs": 100,
+    "seed": 1988,
+    "device": "cuda",
+    "determinism": "best_effort_warn_only",
+    "autodiff_used_for_learning": false
+  },
+  "hardware": {
+    "torch_version": "2.3.1+cu118",
+    "torch_cuda_version": "11.8",
+    "cuda_visible_devices": "4",
+    "device_name": "NVIDIA GeForce GTX 1080"
+  },
+  "metrics": [
+    {
+      "epoch": 1,
+      "train_accuracy": 0.1214,
+      "train_cost": 0.489387109375,
+      "test_accuracy": 0.2315,
+      "test_cost": 1.0281318225860596,
+      "finite": true,
+      "corrector": {
+        "step": 99,
+        "bias_model": "dillavou_constant_update",
+        "clean_update_rms": 0.0017007966127565303,
+        "bias_update_rms": 0.0002167748926504395,
+        "residual_update_rms": 0.00021677489153652438,
+        "bias_to_clean_update_rms": 0.12745491790409094,
+        "residual_to_clean_update_rms": 0.12745491724915364,
+        "neutral_observations": 0
+      },
+      "wall_seconds": 157.31327867507935
+    }
+  ],
+  "epochs_completed": 1,
+  "beta_sign_counts": {
+    "positive": 100,
+    "negative": 100
+  },
+  "final": {
+    "epoch": 1,
+    "train_accuracy": 0.1214,
+    "train_cost": 0.489387109375,
+    "test_accuracy": 0.2315,
+    "test_cost": 1.0281318225860596,
+    "finite": true,
+    "corrector": {
+      "step": 99,
+      "bias_model": "dillavou_constant_update",
+      "clean_update_rms": 0.0017007966127565303,
+      "bias_update_rms": 0.0002167748926504395,
+      "residual_update_rms": 0.00021677489153652438,
+      "bias_to_clean_update_rms": 0.12745491790409094,
+      "residual_to_clean_update_rms": 0.12745491724915364,
+      "neutral_observations": 0
+    },
+    "wall_seconds": 157.31327867507935
+  }
+}
diff --git a/results/ep_bias/dillavou_s0b/pep_clean.json b/results/ep_bias/dillavou_s0b/pep_clean.json
new file mode 100644
index 0000000..93d5a55
--- /dev/null
+++ b/results/ep_bias/dillavou_s0b/pep_clean.json
@@ -0,0 +1,81 @@
+{
+  "schema": "rain_ep_structured_bias_screen_v1",
+  "sdil": {
+    "revision": "138955f8365bc3086de8b8ff3b7f36f48070f602"
+  },
+  "author": {
+    "repository": "https://github.com/rain-neuromorphics/energy-based-learning",
+    "revision": "6b253fd8a5d267535f58ab79992256ef10031ceb"
+  },
+  "protocol": {
+    "dataset": "FashionMNIST",
+    "network": "author comparative-study ConvHopfieldEnergy32",
+    "network_protocol": "comparative32",
+    "algorithm": "equilibrium propagation",
+    "beta_policy": "fixed_positive",
+    "beta_seed": 7100,
+    "beta_value": 0.25,
+    "adapter": "dillavou",
+    "mode": "clean",
+    "bias_ratio": 0.0,
+    "dillavou_drift_ratio": 0.0,
+    "dillavou_calibration_steps": 1,
+    "predictor_rate": 1.0,
+    "neutral_cadence": 0,
+    "layer_calibration_steps": 1,
+    "layer_bias_normalization": "clean_difference",
+    "calibration_batches": 0,
+    "calibration_observations": 0,
+    "calibration_seconds": 4.76837158203125e-07,
+    "extra_equilibrium_phases_for_predictor": 0,
+    "predictor_neutral_source": "instruction_off_local_update_probe",
+    "bias_ratio_normalization": "initial_clean_local_update_rms_for_simulation_only",
+    "bias_ratio_normalization_visible_to_predictor": false,
+    "epochs": 1,
+    "train_limit": 10000,
+    "test_limit": 2000,
+    "evaluation_split": "train_holdout",
+    "data_seed": 6200,
+    "batch_size": 100,
+    "training_iterations": 15,
+    "inference_iterations": 60,
+    "schedule_epochs": 100,
+    "seed": 1988,
+    "device": "cuda",
+    "determinism": "best_effort_warn_only",
+    "autodiff_used_for_learning": false
+  },
+  "hardware": {
+    "torch_version": "2.3.1+cu118",
+    "torch_cuda_version": "11.8",
+    "cuda_visible_devices": "0",
+    "device_name": "NVIDIA GeForce GTX 1080"
+  },
+  "metrics": [
+    {
+      "epoch": 1,
+      "train_accuracy": 0.3512,
+      "train_cost": 0.3947441162109375,
+      "test_accuracy": 0.5755,
+      "test_cost": 0.309199969291687,
+      "finite": true,
+      "corrector": {},
+      "wall_seconds": 145.47748732566833
+    }
+  ],
+  "epochs_completed": 1,
+  "beta_sign_counts": {
+    "positive": 100,
+    "negative": 0
+  },
+  "final": {
+    "epoch": 1,
+    "train_accuracy": 0.3512,
+    "train_cost": 0.3947441162109375,
+    "test_accuracy": 0.5755,
+    "test_cost": 0.309199969291687,
+    "finite": true,
+    "corrector": {},
+    "wall_seconds": 145.47748732566833
+  }
+}
diff --git a/results/ep_bias/dillavou_s0b/pep_constant_selected.json b/results/ep_bias/dillavou_s0b/pep_constant_selected.json
new file mode 100644
index 0000000..55fae5e
--- /dev/null
+++ b/results/ep_bias/dillavou_s0b/pep_constant_selected.json
@@ -0,0 +1,99 @@
+{
+  "schema": "rain_ep_structured_bias_screen_v1",
+  "sdil": {
+    "revision": "138955f8365bc3086de8b8ff3b7f36f48070f602"
+  },
+  "author": {
+    "repository": "https://github.com/rain-neuromorphics/energy-based-learning",
+    "revision": "6b253fd8a5d267535f58ab79992256ef10031ceb"
+  },
+  "protocol": {
+    "dataset": "FashionMNIST",
+    "network": "author comparative-study ConvHopfieldEnergy32",
+    "network_protocol": "comparative32",
+    "algorithm": "equilibrium propagation",
+    "beta_policy": "fixed_positive",
+    "beta_seed": 7100,
+    "beta_value": 0.25,
+    "adapter": "dillavou",
+    "mode": "constant",
+    "bias_ratio": 1.0,
+    "dillavou_drift_ratio": 0.0,
+    "dillavou_calibration_steps": 1,
+    "predictor_rate": 1.0,
+    "neutral_cadence": 0,
+    "layer_calibration_steps": 1,
+    "layer_bias_normalization": "clean_difference",
+    "calibration_batches": 0,
+    "calibration_observations": 0,
+    "calibration_seconds": 4.76837158203125e-07,
+    "extra_equilibrium_phases_for_predictor": 0,
+    "predictor_neutral_source": "instruction_off_local_update_probe",
+    "bias_ratio_normalization": "initial_clean_local_update_rms_for_simulation_only",
+    "bias_ratio_normalization_visible_to_predictor": false,
+    "epochs": 1,
+    "train_limit": 10000,
+    "test_limit": 2000,
+    "evaluation_split": "train_holdout",
+    "data_seed": 6200,
+    "batch_size": 100,
+    "training_iterations": 15,
+    "inference_iterations": 60,
+    "schedule_epochs": 100,
+    "seed": 1988,
+    "device": "cuda",
+    "determinism": "best_effort_warn_only",
+    "autodiff_used_for_learning": false
+  },
+  "hardware": {
+    "torch_version": "2.3.1+cu118",
+    "torch_cuda_version": "11.8",
+    "cuda_visible_devices": "0",
+    "device_name": "NVIDIA GeForce GTX 1080"
+  },
+  "metrics": [
+    {
+      "epoch": 1,
+      "train_accuracy": 0.3523,
+      "train_cost": 0.3953671941757202,
+      "test_accuracy": 0.597,
+      "test_cost": 0.3003366823196411,
+      "finite": true,
+      "corrector": {
+        "step": 99,
+        "bias_model": "dillavou_constant_update",
+        "clean_update_rms": 0.0008973869218368469,
+        "bias_update_rms": 0.00016005302290345862,
+        "residual_update_rms": 6.020679432068825e-12,
+        "bias_to_clean_update_rms": 0.17835453025752665,
+        "residual_to_clean_update_rms": 6.709123217157202e-09,
+        "neutral_observations": 1
+      },
+      "wall_seconds": 152.78116750717163
+    }
+  ],
+  "epochs_completed": 1,
+  "beta_sign_counts": {
+    "positive": 100,
+    "negative": 0
+  },
+  "final": {
+    "epoch": 1,
+    "train_accuracy": 0.3523,
+    "train_cost": 0.3953671941757202,
+    "test_accuracy": 0.597,
+    "test_cost": 0.3003366823196411,
+    "finite": true,
+    "corrector": {
+      "step": 99,
+      "bias_model": "dillavou_constant_update",
+      "clean_update_rms": 0.0008973869218368469,
+      "bias_update_rms": 0.00016005302290345862,
+      "residual_update_rms": 6.020679432068825e-12,
+      "bias_to_clean_update_rms": 0.17835453025752665,
+      "residual_to_clean_update_rms": 6.709123217157202e-09,
+      "neutral_observations": 1
+    },
+    "wall_seconds": 152.78116750717163
+  }
+}
diff --git a/results/ep_bias/dillavou_s0b/pep_oracle_selected.json b/results/ep_bias/dillavou_s0b/pep_oracle_selected.json
new file mode 100644
index 0000000..c108597
--- /dev/null
+++ b/results/ep_bias/dillavou_s0b/pep_oracle_selected.json
@@ -0,0 +1,99 @@
+{
+  "schema": "rain_ep_structured_bias_screen_v1",
+  "sdil": {
+    "revision": "138955f8365bc3086de8b8ff3b7f36f48070f602"
+  },
+  "author": {
+    "repository": "https://github.com/rain-neuromorphics/energy-based-learning",
+    "revision": "6b253fd8a5d267535f58ab79992256ef10031ceb"
+  },
+  "protocol": {
+    "dataset": "FashionMNIST",
+    "network": "author comparative-study ConvHopfieldEnergy32",
+    "network_protocol": "comparative32",
+    "algorithm": "equilibrium propagation",
+    "beta_policy": "fixed_positive",
+    "beta_seed": 7100,
+    "beta_value": 0.25,
+    "adapter": "dillavou",
+    "mode": "oracle",
+    "bias_ratio": 1.0,
+    "dillavou_drift_ratio": 0.0,
+    "dillavou_calibration_steps": 1,
+    "predictor_rate": 1.0,
+    "neutral_cadence": 0,
+    "layer_calibration_steps": 1,
+    "layer_bias_normalization": "clean_difference",
+    "calibration_batches": 0,
+    "calibration_observations": 0,
+    "calibration_seconds": 2.1457672119140625e-06,
+    "extra_equilibrium_phases_for_predictor": 0,
+    "predictor_neutral_source": "instruction_off_local_update_probe",
+    "bias_ratio_normalization": "initial_clean_local_update_rms_for_simulation_only",
+    "bias_ratio_normalization_visible_to_predictor": false,
+    "epochs": 1,
+    "train_limit": 10000,
+    "test_limit": 2000,
+    "evaluation_split": "train_holdout",
+    "data_seed": 6200,
+    "batch_size": 100,
+    "training_iterations": 15,
+    "inference_iterations": 60,
+    "schedule_epochs": 100,
+    "seed": 1988,
+    "device": "cuda",
+    "determinism": "best_effort_warn_only",
+    "autodiff_used_for_learning": false
+  },
+  "hardware": {
+    "torch_version": "2.3.1+cu118",
+    "torch_cuda_version": "11.8",
+    "cuda_visible_devices": "2",
+    "device_name": "NVIDIA GeForce GTX 1080"
+  },
+  "metrics": [
+    {
+      "epoch": 1,
+      "train_accuracy": 0.3512,
+      "train_cost": 0.3947441162109375,
+      "test_accuracy": 0.5755,
+      "test_cost": 0.309199969291687,
+      "finite": true,
+      "corrector": {
+        "step": 99,
+        "bias_model": "dillavou_constant_update",
+        "clean_update_rms": 0.0009169057171871156,
+        "bias_update_rms": 0.00016005302290345862,
+        "residual_update_rms": 0.0,
+        "bias_to_clean_update_rms": 0.1745577761195224,
+        "residual_to_clean_update_rms": 0.0,
+        "neutral_observations": 0
+      },
+      "wall_seconds": 157.25092959403992
+    }
+  ],
+  "epochs_completed": 1,
+  "beta_sign_counts": {
+    "positive": 100,
+    "negative": 0
+  },
+  "final": {
+    "epoch": 1,
+    "train_accuracy": 0.3512,
+    "train_cost": 0.3947441162109375,
+    "test_accuracy": 0.5755,
+    "test_cost": 0.309199969291687,
+    "finite": true,
+    "corrector": {
+      "step": 99,
+      "bias_model": "dillavou_constant_update",
+      "clean_update_rms": 0.0009169057171871156,
+      "bias_update_rms": 0.00016005302290345862,
+      "residual_update_rms": 0.0,
+      "bias_to_clean_update_rms": 0.1745577761195224,
+      "residual_to_clean_update_rms": 0.0,
+      "neutral_observations": 0
+    },
+    "wall_seconds": 157.25092959403992
+  }
+}
diff --git a/results/ep_bias/dillavou_s0b/pep_raw_03.json b/results/ep_bias/dillavou_s0b/pep_raw_03.json
new file mode 100644
index 0000000..cf399be
--- /dev/null
+++ b/results/ep_bias/dillavou_s0b/pep_raw_03.json
@@ -0,0 +1,99 @@
+{
+  "schema": "rain_ep_structured_bias_screen_v1",
+  "sdil": {
+    "revision": "138955f8365bc3086de8b8ff3b7f36f48070f602"
+  },
+  "author": {
+    "repository": "https://github.com/rain-neuromorphics/energy-based-learning",
+    "revision": "6b253fd8a5d267535f58ab79992256ef10031ceb"
+  },
+  "protocol": {
+    "dataset": "FashionMNIST",
+    "network": "author comparative-study ConvHopfieldEnergy32",
+    "network_protocol": "comparative32",
+    "algorithm": "equilibrium propagation",
+    "beta_policy": "fixed_positive",
+    "beta_seed": 7100,
+    "beta_value": 0.25,
+    "adapter": "dillavou",
+    "mode": "raw",
+    "bias_ratio": 0.3,
+    "dillavou_drift_ratio": 0.0,
+    "dillavou_calibration_steps": 1,
+    "predictor_rate": 1.0,
+    "neutral_cadence": 0,
+    "layer_calibration_steps": 1,
+    "layer_bias_normalization": "clean_difference",
+    "calibration_batches": 0,
+    "calibration_observations": 0,
+    "calibration_seconds": 4.76837158203125e-07,
+    "extra_equilibrium_phases_for_predictor": 0,
+    "predictor_neutral_source": "instruction_off_local_update_probe",
+    "bias_ratio_normalization": "initial_clean_local_update_rms_for_simulation_only",
+    "bias_ratio_normalization_visible_to_predictor": false,
+    "epochs": 1,
+    "train_limit": 10000,
+    "test_limit": 2000,
+    "evaluation_split": "train_holdout",
+    "data_seed": 6200,
+    "batch_size": 100,
+    "training_iterations": 15,
+    "inference_iterations": 60,
+    "schedule_epochs": 100,
+    "seed": 1988,
+    "device": "cuda",
+    "determinism": "best_effort_warn_only",
+    "autodiff_used_for_learning": false
+  },
+  "hardware": {
+    "torch_version": "2.3.1+cu118",
+    "torch_cuda_version": "11.8",
+    "cuda_visible_devices": "1",
+    "device_name": "NVIDIA GeForce GTX 1080"
+  },
+  "metrics": [
+    {
+      "epoch": 1,
+      "train_accuracy": 0.327,
+      "train_cost": 0.40488642177581785,
+      "test_accuracy": 0.5615,
+      "test_cost": 0.30644658470153807,
+      "finite": true,
+      "corrector": {
+        "step": 99,
+        "bias_model": "dillavou_constant_update",
+        "clean_update_rms": 0.00062359184603791,
+        "bias_update_rms": 4.8015909032388e-05,
+        "residual_update_rms": 4.801590797622057e-05,
+        "bias_to_clean_update_rms": 0.07699893662411514,
+        "residual_to_clean_update_rms": 0.0769989349304313,
+        "neutral_observations": 0
+      },
+      "wall_seconds": 155.52709484100342
+    }
+  ],
+  "epochs_completed": 1,
+  "beta_sign_counts": {
+    "positive": 100,
+    "negative": 0
+  },
+  "final": {
+    "epoch": 1,
+    "train_accuracy": 0.327,
+    "train_cost": 0.40488642177581785,
+    "test_accuracy": 0.5615,
+    "test_cost": 0.30644658470153807,
+    "finite": true,
+    "corrector": {
+      "step": 99,
+      "bias_model": "dillavou_constant_update",
+      "clean_update_rms": 0.00062359184603791,
+      "bias_update_rms": 4.8015909032388e-05,
+      "residual_update_rms": 4.801590797622057e-05,
+      "bias_to_clean_update_rms": 0.07699893662411514,
+      "residual_to_clean_update_rms": 0.0769989349304313,
+      "neutral_observations": 0
+    },
+    "wall_seconds": 155.52709484100342
+  }
+}
diff --git a/results/ep_bias/dillavou_s0b/pep_raw_1.json b/results/ep_bias/dillavou_s0b/pep_raw_1.json
new file mode 100644
index 0000000..aa8ab49
--- /dev/null
+++ b/results/ep_bias/dillavou_s0b/pep_raw_1.json
@@ -0,0 +1,99 @@
+{
+  "schema": "rain_ep_structured_bias_screen_v1",
+  "sdil": {
+    "revision": "138955f8365bc3086de8b8ff3b7f36f48070f602"
+  },
+  "author": {
+    "repository": "https://github.com/rain-neuromorphics/energy-based-learning",
+    "revision": "6b253fd8a5d267535f58ab79992256ef10031ceb"
+  },
+  "protocol": {
+    "dataset": "FashionMNIST",
+    "network": "author comparative-study ConvHopfieldEnergy32",
+    "network_protocol": "comparative32",
+    "algorithm": "equilibrium propagation",
+    "beta_policy": "fixed_positive",
+    "beta_seed": 7100,
+    "beta_value": 0.25,
+    "adapter": "dillavou",
+    "mode": "raw",
+    "bias_ratio": 1.0,
+    "dillavou_drift_ratio": 0.0,
+    "dillavou_calibration_steps": 1,
+    "predictor_rate": 1.0,
+    "neutral_cadence": 0,
+    "layer_calibration_steps": 1,
+    "layer_bias_normalization": "clean_difference",
+    "calibration_batches": 0,
+    "calibration_observations": 0,
+    "calibration_seconds": 4.76837158203125e-07,
+    "extra_equilibrium_phases_for_predictor": 0,
+    "predictor_neutral_source": "instruction_off_local_update_probe",
+    "bias_ratio_normalization": "initial_clean_local_update_rms_for_simulation_only",
+    "bias_ratio_normalization_visible_to_predictor": false,
+    "epochs": 1,
+    "train_limit": 10000,
+    "test_limit": 2000,
+    "evaluation_split": "train_holdout",
+    "data_seed": 6200,
+    "batch_size": 100,
+    "training_iterations": 15,
+    "inference_iterations": 60,
+    "schedule_epochs": 100,
+    "seed": 1988,
+    "device": "cuda",
+    "determinism": "best_effort_warn_only",
+    "autodiff_used_for_learning": false
+  },
+  "hardware": {
+    "torch_version": "2.3.1+cu118",
+    "torch_cuda_version": "11.8",
+    "cuda_visible_devices": "2",
+    "device_name": "NVIDIA GeForce GTX 1080"
+  },
+  "metrics": [
+    {
+      "epoch": 1,
+      "train_accuracy": 0.165,
+      "train_cost": 0.5414885200500489,
+      "test_accuracy": 0.1965,
+      "test_cost": 0.4308369312286377,
+      "finite": true,
+      "corrector": {
+        "step": 99,
+        "bias_model": "dillavou_constant_update",
+        "clean_update_rms": 0.0005663993811762308,
+        "bias_update_rms": 0.00016005302290345862,
+        "residual_update_rms": 0.00016005302210418226,
+        "bias_to_clean_update_rms": 0.28257979832371916,
+        "residual_to_clean_update_rms": 0.28257979691256585,
+        "neutral_observations": 0
+      },
+      "wall_seconds": 153.90621161460876
+    }
+  ],
+  "epochs_completed": 1,
+  "beta_sign_counts": {
+    "positive": 100,
+    "negative": 0
+  },
+  "final": {
+    "epoch": 1,
+    "train_accuracy": 0.165,
+    "train_cost": 0.5414885200500489,
+    "test_accuracy": 0.1965,
+    "test_cost": 0.4308369312286377,
+    "finite": true,
+    "corrector": {
+      "step": 99,
+      "bias_model": "dillavou_constant_update",
+      "clean_update_rms": 0.0005663993811762308,
+      "bias_update_rms": 0.00016005302290345862,
+      "residual_update_rms": 0.00016005302210418226,
+      "bias_to_clean_update_rms": 0.28257979832371916,
+      "residual_to_clean_update_rms": 0.28257979691256585,
+      "neutral_observations": 0
+    },
+    "wall_seconds": 153.90621161460876
+  }
+}
diff --git a/results/ep_bias/dillavou_s0b/pep_raw_10.json b/results/ep_bias/dillavou_s0b/pep_raw_10.json
new file mode 100644
index 0000000..5b185ba
--- /dev/null
+++ b/results/ep_bias/dillavou_s0b/pep_raw_10.json
@@ -0,0 +1,99 @@
+{
+  "schema": "rain_ep_structured_bias_screen_v1",
+  "sdil": {
+    "revision": "138955f8365bc3086de8b8ff3b7f36f48070f602"
+  },
+  "author": {
+    "repository": "https://github.com/rain-neuromorphics/energy-based-learning",
+    "revision": "6b253fd8a5d267535f58ab79992256ef10031ceb"
+  },
+  "protocol": {
+    "dataset": "FashionMNIST",
+    "network": "author comparative-study ConvHopfieldEnergy32",
+    "network_protocol": "comparative32",
+    "algorithm": "equilibrium propagation",
+    "beta_policy": "fixed_positive",
+    "beta_seed": 7100,
+    "beta_value": 0.25,
+    "adapter": "dillavou",
+    "mode": "raw",
+    "bias_ratio": 10.0,
+    "dillavou_drift_ratio": 0.0,
+    "dillavou_calibration_steps": 1,
+    "predictor_rate": 1.0,
+    "neutral_cadence": 0,
+    "layer_calibration_steps": 1,
+    "layer_bias_normalization": "clean_difference",
+    "calibration_batches": 0,
+    "calibration_observations": 0,
+    "calibration_seconds": 7.152557373046875e-07,
+    "extra_equilibrium_phases_for_predictor": 0,
+    "predictor_neutral_source": "instruction_off_local_update_probe",
+    "bias_ratio_normalization": "initial_clean_local_update_rms_for_simulation_only",
+    "bias_ratio_normalization_visible_to_predictor": false,
+    "epochs": 1,
+    "train_limit": 10000,
+    "test_limit": 2000,
+    "evaluation_split": "train_holdout",
+    "data_seed": 6200,
+    "batch_size": 100,
+    "training_iterations": 15,
+    "inference_iterations": 60,
+    "schedule_epochs": 100,
+    "seed": 1988,
+    "device": "cuda",
+    "determinism": "best_effort_warn_only",
+    "autodiff_used_for_learning": false
+  },
+  "hardware": {
+    "torch_version": "2.3.1+cu118",
+    "torch_cuda_version": "11.8",
+    "cuda_visible_devices": "4",
+    "device_name": "NVIDIA GeForce GTX 1080"
+  },
+  "metrics": [
+    {
+      "epoch": 1,
+      "train_accuracy": 0.1039,
+      "train_cost": NaN,
+      "test_accuracy": 0.1015,
+      "test_cost": NaN,
+      "finite": false,
+      "corrector": {
+        "step": 99,
+        "bias_model": "dillavou_constant_update",
+        "clean_update_rms": NaN,
+        "bias_update_rms": NaN,
+        "residual_update_rms": NaN,
+        "bias_to_clean_update_rms": NaN,
+        "residual_to_clean_update_rms": NaN,
+        "neutral_observations": 0
+      },
+      "wall_seconds": 152.3833601474762
+    }
+  ],
+  "epochs_completed": 1,
+  "beta_sign_counts": {
+    "positive": 100,
+    "negative": 0
+  },
+  "final": {
+    "epoch": 1,
+    "train_accuracy": 0.1039,
+    "train_cost": NaN,
+    "test_accuracy": 0.1015,
+    "test_cost": NaN,
+    "finite": false,
+    "corrector": {
+      "step": 99,
+      "bias_model": "dillavou_constant_update",
+      "clean_update_rms": NaN,
+      "bias_update_rms": NaN,
+      "residual_update_rms": NaN,
+      "bias_to_clean_update_rms": NaN,
+      "residual_to_clean_update_rms": NaN,
+      "neutral_observations": 0
+    },
+    "wall_seconds": 152.3833601474762
+  }
+}
diff --git a/results/ep_bias/dillavou_s0b/pep_raw_3.json b/results/ep_bias/dillavou_s0b/pep_raw_3.json
new file mode 100644
index 0000000..6b4f1b8
--- /dev/null
+++ b/results/ep_bias/dillavou_s0b/pep_raw_3.json
@@ -0,0 +1,99 @@
+{
+  "schema": "rain_ep_structured_bias_screen_v1",
+  "sdil": {
+    "revision": "138955f8365bc3086de8b8ff3b7f36f48070f602"
+  },
+  "author": {
+    "repository": "https://github.com/rain-neuromorphics/energy-based-learning",
+    "revision": "6b253fd8a5d267535f58ab79992256ef10031ceb"
+  },
+  "protocol": {
+    "dataset": "FashionMNIST",
+    "network": "author comparative-study ConvHopfieldEnergy32",
+    "network_protocol": "comparative32",
+    "algorithm": "equilibrium propagation",
+    "beta_policy": "fixed_positive",
+    "beta_seed": 7100,
+    "beta_value": 0.25,
+    "adapter": "dillavou",
+    "mode": "raw",
+    "bias_ratio": 3.0,
+    "dillavou_drift_ratio": 0.0,
+    "dillavou_calibration_steps": 1,
+    "predictor_rate": 1.0,
+    "neutral_cadence": 0,
+    "layer_calibration_steps": 1,
+    "layer_bias_normalization": "clean_difference",
+    "calibration_batches": 0,
+    "calibration_observations": 0,
+    "calibration_seconds": 4.76837158203125e-07,
+    "extra_equilibrium_phases_for_predictor": 0,
+    "predictor_neutral_source": "instruction_off_local_update_probe",
+    "bias_ratio_normalization": "initial_clean_local_update_rms_for_simulation_only",
+    "bias_ratio_normalization_visible_to_predictor": false,
+    "epochs": 1,
+    "train_limit": 10000,
+    "test_limit": 2000,
+    "evaluation_split": "train_holdout",
+    "data_seed": 6200,
+    "batch_size": 100,
+    "training_iterations": 15,
+    "inference_iterations": 60,
+    "schedule_epochs": 100,
+    "seed": 1988,
+    "device": "cuda",
+    "determinism": "best_effort_warn_only",
+    "autodiff_used_for_learning": false
+  },
+  "hardware": {
+    "torch_version": "2.3.1+cu118",
+    "torch_cuda_version": "11.8",
+    "cuda_visible_devices": "3",
+    "device_name": "NVIDIA GeForce GTX 1080"
+  },
+  "metrics": [
+    {
+      "epoch": 1,
+      "train_accuracy": 0.1071,
+      "train_cost": NaN,
+      "test_accuracy": 0.1015,
+      "test_cost": NaN,
+      "finite": false,
+      "corrector": {
+        "step": 99,
+        "bias_model": "dillavou_constant_update",
+        "clean_update_rms": NaN,
+        "bias_update_rms": NaN,
+        "residual_update_rms": NaN,
+        "bias_to_clean_update_rms": NaN,
+        "residual_to_clean_update_rms": NaN,
+        "neutral_observations": 0
+      },
+      "wall_seconds": 153.92182517051697
+    }
+  ],
+  "epochs_completed": 1,
+  "beta_sign_counts": {
+    "positive": 100,
+    "negative": 0
+  },
+  "final": {
+    "epoch": 1,
+    "train_accuracy": 0.1071,
+    "train_cost": NaN,
+    "test_accuracy": 0.1015,
+    "test_cost": NaN,
+    "finite": false,
+    "corrector": {
+      "step": 99,
+      "bias_model": "dillavou_constant_update",
+      "clean_update_rms": NaN,
+      "bias_update_rms": NaN,
+      "residual_update_rms": NaN,
+      "bias_to_clean_update_rms": NaN,
+      "residual_to_clean_update_rms": NaN,
+      "neutral_observations": 0
+    },
+    "wall_seconds": 153.92182517051697
+  }
+}
diff --git a/results/ep_bias/dillavou_s0b/pep_raw_beta05.json b/results/ep_bias/dillavou_s0b/pep_raw_beta05.json
new file mode 100644
index 0000000..541f239
--- /dev/null
+++ b/results/ep_bias/dillavou_s0b/pep_raw_beta05.json
@@ -0,0 +1,99 @@
+{
+  "schema": "rain_ep_structured_bias_screen_v1",
+  "sdil": {
+    "revision": "138955f8365bc3086de8b8ff3b7f36f48070f602"
+  },
+  "author": {
+    "repository": "https://github.com/rain-neuromorphics/energy-based-learning",
+    "revision": "6b253fd8a5d267535f58ab79992256ef10031ceb"
+  },
+  "protocol": {
+    "dataset": "FashionMNIST",
+    "network": "author comparative-study ConvHopfieldEnergy32",
+    "network_protocol": "comparative32",
+    "algorithm": "equilibrium propagation",
+    "beta_policy": "fixed_positive",
+    "beta_seed": 7100,
+    "beta_value": 0.5,
+    "adapter": "dillavou",
+    "mode": "raw",
+    "bias_ratio": 1.0,
+    "dillavou_drift_ratio": 0.0,
+    "dillavou_calibration_steps": 1,
+    "predictor_rate": 1.0,
+    "neutral_cadence": 0,
+    "layer_calibration_steps": 1,
+    "layer_bias_normalization": "clean_difference",
+    "calibration_batches": 0,
+    "calibration_observations": 0,
+    "calibration_seconds": 4.76837158203125e-07,
+    "extra_equilibrium_phases_for_predictor": 0,
+    "predictor_neutral_source": "instruction_off_local_update_probe",
+    "bias_ratio_normalization": "initial_clean_local_update_rms_for_simulation_only",
+    "bias_ratio_normalization_visible_to_predictor": false,
+    "epochs": 1,
+    "train_limit": 10000,
+    "test_limit": 2000,
+    "evaluation_split": "train_holdout",
+    "data_seed": 6200,
+    "batch_size": 100,
+    "training_iterations": 15,
+    "inference_iterations": 60,
+    "schedule_epochs": 100,
+    "seed": 1988,
+    "device": "cuda",
+    "determinism": "best_effort_warn_only",
+    "autodiff_used_for_learning": false
+  },
+  "hardware": {
+    "torch_version": "2.3.1+cu118",
+    "torch_cuda_version": "11.8",
+    "cuda_visible_devices": "5",
+    "device_name": "NVIDIA GeForce GTX 1080"
+  },
+  "metrics": [
+    {
+      "epoch": 1,
+      "train_accuracy": 0.2915,
+      "train_cost": 0.4247793546676636,
+      "test_accuracy": 0.544,
+      "test_cost": 0.32427291965484617,
+      "finite": true,
+      "corrector": {
+        "step": 99,
+        "bias_model": "dillavou_constant_update",
+        "clean_update_rms": 0.000598504018745181,
+        "bias_update_rms": 0.0001342120021169413,
+        "residual_update_rms": 0.00013421200211600787,
+        "bias_to_clean_update_rms": 0.22424578267382256,
+        "residual_to_clean_update_rms": 0.224245782672263,
+        "neutral_observations": 0
+      },
+      "wall_seconds": 157.60576701164246
+    }
+  ],
+  "epochs_completed": 1,
+  "beta_sign_counts": {
+    "positive": 100,
+    "negative": 0
+  },
+  "final": {
+    "epoch": 1,
+    "train_accuracy": 0.2915,
+    "train_cost": 0.4247793546676636,
+    "test_accuracy": 0.544,
+    "test_cost": 0.32427291965484617,
+    "finite": true,
+    "corrector": {
+      "step": 99,
+      "bias_model": "dillavou_constant_update",
+      "clean_update_rms": 0.000598504018745181,
+      "bias_update_rms": 0.0001342120021169413,
+      "residual_update_rms": 0.00013421200211600787,
+      "bias_to_clean_update_rms": 0.22424578267382256,
+      "residual_to_clean_update_rms": 0.224245782672263,
+      "neutral_observations": 0
+    },
+    "wall_seconds": 157.60576701164246
+  }
+}
diff --git a/results/ep_bias/dillavou_s0b/pep_raw_beta1.json b/results/ep_bias/dillavou_s0b/pep_raw_beta1.json
new file mode 100644
index 0000000..cc7f3b0
--- /dev/null
+++ b/results/ep_bias/dillavou_s0b/pep_raw_beta1.json
@@ -0,0 +1,99 @@
+{
+  "schema": "rain_ep_structured_bias_screen_v1",
+  "sdil": {
+    "revision": "138955f8365bc3086de8b8ff3b7f36f48070f602"
+  },
+  "author": {
+    "repository": "https://github.com/rain-neuromorphics/energy-based-learning",
+    "revision": "6b253fd8a5d267535f58ab79992256ef10031ceb"
+  },
+  "protocol": {
+    "dataset": "FashionMNIST",
+    "network": "author comparative-study ConvHopfieldEnergy32",
+    "network_protocol": "comparative32",
+    "algorithm": "equilibrium propagation",
+    "beta_policy": "fixed_positive",
+    "beta_seed": 7100,
+    "beta_value": 1.0,
+    "adapter": "dillavou",
+    "mode": "raw",
+    "bias_ratio": 1.0,
+    "dillavou_drift_ratio": 0.0,
+    "dillavou_calibration_steps": 1,
+    "predictor_rate": 1.0,
+    "neutral_cadence": 0,
+    "layer_calibration_steps": 1,
+    "layer_bias_normalization": "clean_difference",
+    "calibration_batches": 0,
+    "calibration_observations": 0,
+    "calibration_seconds": 4.76837158203125e-07,
+    "extra_equilibrium_phases_for_predictor": 0,
+    "predictor_neutral_source": "instruction_off_local_update_probe",
+    "bias_ratio_normalization": "initial_clean_local_update_rms_for_simulation_only",
+    "bias_ratio_normalization_visible_to_predictor": false,
+    "epochs": 1,
+    "train_limit": 10000,
+    "test_limit": 2000,
+    "evaluation_split": "train_holdout",
+    "data_seed": 6200,
+    "batch_size": 100,
+    "training_iterations": 15,
+    "inference_iterations": 60,
+    "schedule_epochs": 100,
+    "seed": 1988,
+    "device": "cuda",
+    "determinism": "best_effort_warn_only",
+    "autodiff_used_for_learning": false
+  },
+  "hardware": {
+    "torch_version": "2.3.1+cu118",
+    "torch_cuda_version": "11.8",
+    "cuda_visible_devices": "6",
+    "device_name": "NVIDIA GeForce GTX 1080"
+  },
+  "metrics": [
+    {
+      "epoch": 1,
+      "train_accuracy": 0.1438,
+      "train_cost": 0.5200685279846191,
+      "test_accuracy": 0.085,
+      "test_cost": 0.4508027458190918,
+      "finite": true,
+      "corrector": {
+        "step": 99,
+        "bias_model": "dillavou_constant_update",
+        "clean_update_rms": 0.00017692629099073527,
+        "bias_update_rms": 0.00014855022008540845,
+        "residual_update_rms": 0.00014855022092355845,
+        "bias_to_clean_update_rms": 0.839616425877527,
+        "residual_to_clean_update_rms": 0.8396164306148105,
+        "neutral_observations": 0
+      },
+      "wall_seconds": 155.58481884002686
+    }
+  ],
+  "epochs_completed": 1,
+  "beta_sign_counts": {
+    "positive": 100,
+    "negative": 0
+  },
+  "final": {
+    "epoch": 1,
+    "train_accuracy": 0.1438,
+    "train_cost": 0.5200685279846191,
+    "test_accuracy": 0.085,
+    "test_cost": 0.4508027458190918,
+    "finite": true,
+    "corrector": {
+      "step": 99,
+      "bias_model": "dillavou_constant_update",
+      "clean_update_rms": 0.00017692629099073527,
+      "bias_update_rms": 0.00014855022008540845,
+      "residual_update_rms": 0.00014855022092355845,
+      "bias_to_clean_update_rms": 0.839616425877527,
+      "residual_to_clean_update_rms": 0.8396164306148105,
+      "neutral_observations": 0
+    },
+    "wall_seconds": 155.58481884002686
+  }
+}
diff --git a/results/ep_bias/dillavou_s0b/pep_raw_beta2.json b/results/ep_bias/dillavou_s0b/pep_raw_beta2.json
new file mode 100644
index 0000000..e10ec01
--- /dev/null
+++ b/results/ep_bias/dillavou_s0b/pep_raw_beta2.json
@@ -0,0 +1,99 @@
+{
+  "schema": "rain_ep_structured_bias_screen_v1",
+  "sdil": {
+    "revision": "138955f8365bc3086de8b8ff3b7f36f48070f602"
+  },
+  "author": {
+    "repository": "https://github.com/rain-neuromorphics/energy-based-learning",
+    "revision": "6b253fd8a5d267535f58ab79992256ef10031ceb"
+  },
+  "protocol": {
+    "dataset": "FashionMNIST",
+    "network": "author comparative-study ConvHopfieldEnergy32",
+    "network_protocol": "comparative32",
+    "algorithm": "equilibrium propagation",
+    "beta_policy": "fixed_positive",
+    "beta_seed": 7100,
+    "beta_value": 2.0,
+    "adapter": "dillavou",
+    "mode": "raw",
+    "bias_ratio": 1.0,
+    "dillavou_drift_ratio": 0.0,
+    "dillavou_calibration_steps": 1,
+    "predictor_rate": 1.0,
+    "neutral_cadence": 0,
+    "layer_calibration_steps": 1,
+    "layer_bias_normalization": "clean_difference",
+    "calibration_batches": 0,
+    "calibration_observations": 0,
+    "calibration_seconds": 4.76837158203125e-07,
+    "extra_equilibrium_phases_for_predictor": 0,
+    "predictor_neutral_source": "instruction_off_local_update_probe",
+    "bias_ratio_normalization": "initial_clean_local_update_rms_for_simulation_only",
+    "bias_ratio_normalization_visible_to_predictor": false,
+    "epochs": 1,
+    "train_limit": 10000,
+    "test_limit": 2000,
+    "evaluation_split": "train_holdout",
+    "data_seed": 6200,
+    "batch_size": 100,
+    "training_iterations": 15,
+    "inference_iterations": 60,
+    "schedule_epochs": 100,
+    "seed": 1988,
+    "device": "cuda",
+    "determinism": "best_effort_warn_only",
+    "autodiff_used_for_learning": false
+  },
+  "hardware": {
+    "torch_version": "2.3.1+cu118",
+    "torch_cuda_version": "11.8",
+    "cuda_visible_devices": "7",
+    "device_name": "NVIDIA GeForce GTX 1080"
+  },
+  "metrics": [
+    {
+      "epoch": 1,
+      "train_accuracy": 0.1028,
+      "train_cost": NaN,
+      "test_accuracy": 0.1015,
+      "test_cost": NaN,
+      "finite": false,
+      "corrector": {
+        "step": 99,
+        "bias_model": "dillavou_constant_update",
+        "clean_update_rms": NaN,
+        "bias_update_rms": NaN,
+        "residual_update_rms": NaN,
+        "bias_to_clean_update_rms": NaN,
+        "residual_to_clean_update_rms": NaN,
+        "neutral_observations": 0
+      },
+      "wall_seconds": 154.3118805885315
+    }
+  ],
+  "epochs_completed": 1,
+  "beta_sign_counts": {
+    "positive": 100,
+    "negative": 0
+  },
+  "final": {
+    "epoch": 1,
+    "train_accuracy": 0.1028,
+    "train_cost": NaN,
+    "test_accuracy": 0.1015,
+    "test_cost": NaN,
+    "finite": false,
+    "corrector": {
+      "step": 99,
+      "bias_model": "dillavou_constant_update",
+      "clean_update_rms": NaN,
+      "bias_update_rms": NaN,
+      "residual_update_rms": NaN,
+      "bias_to_clean_update_rms": NaN,
+      "residual_to_clean_update_rms": NaN,
+      "neutral_observations": 0
+    },
+    "wall_seconds": 154.3118805885315
+  }
+}
diff --git a/results/ep_bias/dillavou_s0b/pep_sdil_3.json b/results/ep_bias/dillavou_s0b/pep_sdil_3.json
new file mode 100644
index 0000000..2f7a07b
--- /dev/null
+++ b/results/ep_bias/dillavou_s0b/pep_sdil_3.json
@@ -0,0 +1,99 @@
+{
+  "schema": "rain_ep_structured_bias_screen_v1",
+  "sdil": {
+    "revision": "138955f8365bc3086de8b8ff3b7f36f48070f602"
+  },
+  "author": {
+    "repository": "https://github.com/rain-neuromorphics/energy-based-learning",
+    "revision": "6b253fd8a5d267535f58ab79992256ef10031ceb"
+  },
+  "protocol": {
+    "dataset": "FashionMNIST",
+    "network": "author comparative-study ConvHopfieldEnergy32",
+    "network_protocol": "comparative32",
+    "algorithm": "equilibrium propagation",
+    "beta_policy": "fixed_positive",
+    "beta_seed": 7100,
+    "beta_value": 0.25,
+    "adapter": "dillavou",
+    "mode": "innovation",
+    "bias_ratio": 3.0,
+    "dillavou_drift_ratio": 0.0,
+    "dillavou_calibration_steps": 1,
+    "predictor_rate": 1.0,
+    "neutral_cadence": 0,
+    "layer_calibration_steps": 1,
+    "layer_bias_normalization": "clean_difference",
+    "calibration_batches": 0,
+    "calibration_observations": 0,
+    "calibration_seconds": 4.76837158203125e-07,
+    "extra_equilibrium_phases_for_predictor": 0,
+    "predictor_neutral_source": "instruction_off_local_update_probe",
+    "bias_ratio_normalization": "initial_clean_local_update_rms_for_simulation_only",
+    "bias_ratio_normalization_visible_to_predictor": false,
+    "epochs": 1,
+    "train_limit": 10000,
+    "test_limit": 2000,
+    "evaluation_split": "train_holdout",
+    "data_seed": 6200,
+    "batch_size": 100,
+    "training_iterations": 15,
+    "inference_iterations": 60,
+    "schedule_epochs": 100,
+    "seed": 1988,
+    "device": "cuda",
+    "determinism": "best_effort_warn_only",
+    "autodiff_used_for_learning": false
+  },
+  "hardware": {
+    "torch_version": "2.3.1+cu118",
+    "torch_cuda_version": "11.8",
+    "cuda_visible_devices": "7",
+    "device_name": "NVIDIA GeForce GTX 1080"
+  },
+  "metrics": [
+    {
+      "epoch": 1,
+      "train_accuracy": 0.3523,
+      "train_cost": 0.3946528022766113,
+      "test_accuracy": 0.5845,
+      "test_cost": 0.30579797554016114,
+      "finite": true,
+      "corrector": {
+        "step": 99,
+        "bias_model": "dillavou_constant_update",
+        "clean_update_rms": 0.0006428324867539793,
+        "bias_update_rms": 0.00048015905710687166,
+        "residual_update_rms": 1.2244390282131502e-11,
+        "bias_to_clean_update_rms": 0.746942737028527,
+        "residual_to_clean_update_rms": 1.9047559876695523e-08,
+        "neutral_observations": 1
+      },
+      "wall_seconds": 153.1792278289795
+    }
+  ],
+  "epochs_completed": 1,
+  "beta_sign_counts": {
+    "positive": 100,
+    "negative": 0
+  },
+  "final": {
+    "epoch": 1,
+    "train_accuracy": 0.3523,
+    "train_cost": 0.3946528022766113,
+    "test_accuracy": 0.5845,
+    "test_cost": 0.30579797554016114,
+    "finite": true,
+    "corrector": {
+      "step": 99,
+      "bias_model": "dillavou_constant_update",
+      "clean_update_rms": 0.0006428324867539793,
+      "bias_update_rms": 0.00048015905710687166,
+      "residual_update_rms": 1.2244390282131502e-11,
+      "bias_to_clean_update_rms": 0.746942737028527,
+      "residual_to_clean_update_rms": 1.9047559876695523e-08,
+      "neutral_observations": 1
+    },
+    "wall_seconds": 153.1792278289795
+  }
+}
diff --git a/results/ep_bias/dillavou_s0b/pep_sdil_selected.json b/results/ep_bias/dillavou_s0b/pep_sdil_selected.json
new file mode 100644
index 0000000..4b09d3d
--- /dev/null
+++ b/results/ep_bias/dillavou_s0b/pep_sdil_selected.json
@@ -0,0 +1,99 @@
+{
+  "schema": "rain_ep_structured_bias_screen_v1",
+  "sdil": {
+    "revision": "138955f8365bc3086de8b8ff3b7f36f48070f602"
+  },
+  "author": {
+    "repository": "https://github.com/rain-neuromorphics/energy-based-learning",
+    "revision": "6b253fd8a5d267535f58ab79992256ef10031ceb"
+  },
+  "protocol": {
+    "dataset": "FashionMNIST",
+    "network": "author comparative-study ConvHopfieldEnergy32",
+    "network_protocol": "comparative32",
+    "algorithm": "equilibrium propagation",
+    "beta_policy": "fixed_positive",
+    "beta_seed": 7100,
+    "beta_value": 0.25,
+    "adapter": "dillavou",
+    "mode": "innovation",
+    "bias_ratio": 1.0,
+    "dillavou_drift_ratio": 0.0,
+    "dillavou_calibration_steps": 1,
+    "predictor_rate": 1.0,
+    "neutral_cadence": 0,
+    "layer_calibration_steps": 1,
+    "layer_bias_normalization": "clean_difference",
+    "calibration_batches": 0,
+    "calibration_observations": 0,
+    "calibration_seconds": 7.152557373046875e-07,
+    "extra_equilibrium_phases_for_predictor": 0,
+    "predictor_neutral_source": "instruction_off_local_update_probe",
+    "bias_ratio_normalization": "initial_clean_local_update_rms_for_simulation_only",
+    "bias_ratio_normalization_visible_to_predictor": false,
+    "epochs": 1,
+    "train_limit": 10000,
+    "test_limit": 2000,
+    "evaluation_split": "train_holdout",
+    "data_seed": 6200,
+    "batch_size": 100,
+    "training_iterations": 15,
+    "inference_iterations": 60,
+    "schedule_epochs": 100,
+    "seed": 1988,
+    "device": "cuda",
+    "determinism": "best_effort_warn_only",
+    "autodiff_used_for_learning": false
+  },
+  "hardware": {
+    "torch_version": "2.3.1+cu118",
+    "torch_cuda_version": "11.8",
+    "cuda_visible_devices": "1",
+    "device_name": "NVIDIA GeForce GTX 1080"
+  },
+  "metrics": [
+    {
+      "epoch": 1,
+      "train_accuracy": 0.3523,
+      "train_cost": 0.3953671941757202,
+      "test_accuracy": 0.597,
+      "test_cost": 0.3003366823196411,
+      "finite": true,
+      "corrector": {
+        "step": 99,
+        "bias_model": "dillavou_constant_update",
+        "clean_update_rms": 0.0008973869218368469,
+        "bias_update_rms": 0.00016005302290345862,
+        "residual_update_rms": 6.020679432068825e-12,
+        "bias_to_clean_update_rms": 0.17835453025752665,
+        "residual_to_clean_update_rms": 6.709123217157202e-09,
+        "neutral_observations": 1
+      },
+      "wall_seconds": 158.1991639137268
+    }
+  ],
+  "epochs_completed": 1,
+  "beta_sign_counts": {
+    "positive": 100,
+    "negative": 0
+  },
+  "final": {
+    "epoch": 1,
+    "train_accuracy": 0.3523,
+    "train_cost": 0.3953671941757202,
+    "test_accuracy": 0.597,
+    "test_cost": 0.3003366823196411,
+    "finite": true,
+    "corrector": {
+      "step": 99,
+      "bias_model": "dillavou_constant_update",
+      "clean_update_rms": 0.0008973869218368469,
+      "bias_update_rms": 0.00016005302290345862,
+      "residual_update_rms": 6.020679432068825e-12,
+      "bias_to_clean_update_rms": 0.17835453025752665,
+      "residual_to_clean_update_rms": 6.709123217157202e-09,
+      "neutral_observations": 1
+    },
+    "wall_seconds": 158.1991639137268
+  }
+}
diff --git a/results/ep_bias/dillavou_s0b/random_clean.json b/results/ep_bias/dillavou_s0b/random_clean.json
new file mode 100644
index 0000000..19e5912
--- /dev/null
+++ b/results/ep_bias/dillavou_s0b/random_clean.json
@@ -0,0 +1,81 @@
+{
+  "schema": "rain_ep_structured_bias_screen_v1",
+  "sdil": {
+    "revision": "138955f8365bc3086de8b8ff3b7f36f48070f602"
+  },
+  "author": {
+    "repository": "https://github.com/rain-neuromorphics/energy-based-learning",
+    "revision": "6b253fd8a5d267535f58ab79992256ef10031ceb"
+  },
+  "protocol": {
+    "dataset": "FashionMNIST",
+    "network": "author comparative-study ConvHopfieldEnergy32",
+    "network_protocol": "comparative32",
+    "algorithm": "equilibrium propagation",
+    "beta_policy": "random_sign",
+    "beta_seed": 7100,
+    "beta_value": 0.25,
+    "adapter": "dillavou",
+    "mode": "clean",
+    "bias_ratio": 0.0,
+    "dillavou_drift_ratio": 0.0,
+    "dillavou_calibration_steps": 1,
+    "predictor_rate": 1.0,
+    "neutral_cadence": 0,
+    "layer_calibration_steps": 1,
+    "layer_bias_normalization": "clean_difference",
+    "calibration_batches": 0,
+    "calibration_observations": 0,
+    "calibration_seconds": 7.152557373046875e-07,
+    "extra_equilibrium_phases_for_predictor": 0,
+    "predictor_neutral_source": "instruction_off_local_update_probe",
+    "bias_ratio_normalization": "initial_clean_local_update_rms_for_simulation_only",
+    "bias_ratio_normalization_visible_to_predictor": false,
+    "epochs": 1,
+    "train_limit": 10000,
+    "test_limit": 2000,
+    "evaluation_split": "train_holdout",
+    "data_seed": 6200,
+    "batch_size": 100,
+    "training_iterations": 15,
+    "inference_iterations": 60,
+    "schedule_epochs": 100,
+    "seed": 1988,
+    "device": "cuda",
+    "determinism": "best_effort_warn_only",
+    "autodiff_used_for_learning": false
+  },
+  "hardware": {
+    "torch_version": "2.3.1+cu118",
+    "torch_cuda_version": "11.8",
+    "cuda_visible_devices": "5",
+    "device_name": "NVIDIA GeForce GTX 1080"
+  },
+  "metrics": [
+    {
+      "epoch": 1,
+      "train_accuracy": 0.2783,
+      "train_cost": 0.4183937540054321,
+      "test_accuracy": 0.487,
+      "test_cost": 0.32863751792907714,
+      "finite": true,
+      "corrector": {},
+      "wall_seconds": 148.2477421760559
+    }
+  ],
+  "epochs_completed": 1,
+  "beta_sign_counts": {
+    "positive": 55,
+    "negative": 45
+  },
+  "final": {
+    "epoch": 1,
+    "train_accuracy": 0.2783,
+    "train_cost": 0.4183937540054321,
+    "test_accuracy": 0.487,
+    "test_cost": 0.32863751792907714,
+    "finite": true,
+    "corrector": {},
+    "wall_seconds": 148.2477421760559
+  }
+}
diff --git a/results/ep_bias/dillavou_s0b/random_raw_selected.json b/results/ep_bias/dillavou_s0b/random_raw_selected.json
new file mode 100644
index 0000000..c6cc28e
--- /dev/null
+++ b/results/ep_bias/dillavou_s0b/random_raw_selected.json
@@ -0,0 +1,99 @@
+{
+  "schema": "rain_ep_structured_bias_screen_v1",
+  "sdil": {
+    "revision": "138955f8365bc3086de8b8ff3b7f36f48070f602"
+  },
+  "author": {
+    "repository": "https://github.com/rain-neuromorphics/energy-based-learning",
+    "revision": "6b253fd8a5d267535f58ab79992256ef10031ceb"
+  },
+  "protocol": {
+    "dataset": "FashionMNIST",
+    "network": "author comparative-study ConvHopfieldEnergy32",
+    "network_protocol": "comparative32",
+    "algorithm": "equilibrium propagation",
+    "beta_policy": "random_sign",
+    "beta_seed": 7100,
+    "beta_value": 0.25,
+    "adapter": "dillavou",
+    "mode": "raw",
+    "bias_ratio": 1.0,
+    "dillavou_drift_ratio": 0.0,
+    "dillavou_calibration_steps": 1,
+    "predictor_rate": 1.0,
+    "neutral_cadence": 0,
+    "layer_calibration_steps": 1,
+    "layer_bias_normalization": "clean_difference",
+    "calibration_batches": 0,
+    "calibration_observations": 0,
+    "calibration_seconds": 4.76837158203125e-07,
+    "extra_equilibrium_phases_for_predictor": 0,
+    "predictor_neutral_source": "instruction_off_local_update_probe",
+    "bias_ratio_normalization": "initial_clean_local_update_rms_for_simulation_only",
+    "bias_ratio_normalization_visible_to_predictor": false,
+    "epochs": 1,
+    "train_limit": 10000,
+    "test_limit": 2000,
+    "evaluation_split": "train_holdout",
+    "data_seed": 6200,
+    "batch_size": 100,
+    "training_iterations": 15,
+    "inference_iterations": 60,
+    "schedule_epochs": 100,
+    "seed": 1988,
+    "device": "cuda",
+    "determinism": "best_effort_warn_only",
+    "autodiff_used_for_learning": false
+  },
+  "hardware": {
+    "torch_version": "2.3.1+cu118",
+    "torch_cuda_version": "11.8",
+    "cuda_visible_devices": "3",
+    "device_name": "NVIDIA GeForce GTX 1080"
+  },
+  "metrics": [
+    {
+      "epoch": 1,
+      "train_accuracy": 0.1065,
+      "train_cost": 0.7115094978332519,
+      "test_accuracy": 0.085,
+      "test_cost": 0.671344825744629,
+      "finite": true,
+      "corrector": {
+        "step": 99,
+        "bias_model": "dillavou_constant_update",
+        "clean_update_rms": 0.0006369761166715286,
+        "bias_update_rms": 0.0002803655771934793,
+        "residual_update_rms": 0.00028036557611689906,
+        "bias_to_clean_update_rms": 0.44015084687713063,
+        "residual_to_clean_update_rms": 0.44015084518698844,
+        "neutral_observations": 0
+      },
+      "wall_seconds": 158.12627720832825
+    }
+  ],
+  "epochs_completed": 1,
+  "beta_sign_counts": {
+    "positive": 55,
+    "negative": 45
+  },
+  "final": {
+    "epoch": 1,
+    "train_accuracy": 0.1065,
+    "train_cost": 0.7115094978332519,
+    "test_accuracy": 0.085,
+    "test_cost": 0.671344825744629,
+    "finite": true,
+    "corrector": {
+      "step": 99,
+      "bias_model": "dillavou_constant_update",
+      "clean_update_rms": 0.0006369761166715286,
+      "bias_update_rms": 0.0002803655771934793,
+      "residual_update_rms": 0.00028036557611689906,
+      "bias_to_clean_update_rms": 0.44015084687713063,
+      "residual_to_clean_update_rms": 0.44015084518698844,
+      "neutral_observations": 0
+    },
+    "wall_seconds": 158.12627720832825
+  }
+}
diff --git a/results/ep_bias/dillavou_s0b/selector.json b/results/ep_bias/dillavou_s0b/selector.json
new file mode 100644
index 0000000..ac9aa39
--- /dev/null
+++ b/results/ep_bias/dillavou_s0b/selector.json
@@ -0,0 +1,17 @@
+{
+  "rule": "smallest ratio with >=0.10 accuracy damage and finite parameters",
+  "clean_accuracy": 0.5755,
+  "candidates": [
+    {
+      "ratio": 0.3,
+      "accuracy": 0.5615,
+      "finite": true
+    },
+    {
+      "ratio": 1.0,
+      "accuracy": 0.1965,
+      "finite": true
+    }
+  ],
+  "selected_ratio": 1.0
+}
diff --git a/results/ep_bias/dillavou_s0b/summary.json b/results/ep_bias/dillavou_s0b/summary.json
new file mode 100644
index 0000000..929a492
--- /dev/null
+++ b/results/ep_bias/dillavou_s0b/summary.json
@@ -0,0 +1,231 @@
+{
+  "centered_clean": {
+    "test_accuracy": 0.5085,
+    "test_cost": 0.3253386163711548,
+    "finite": true,
+    "wall_seconds": 147.13633942604065,
+    "corrector": {}
+  },
+  "centered_raw_selected": {
+    "test_accuracy": 0.2315,
+    "test_cost": 1.0281318225860596,
+    "finite": true,
+    "wall_seconds": 157.31327867507935,
+    "corrector": {
+      "step": 99,
+      "bias_model": "dillavou_constant_update",
+      "clean_update_rms": 0.0017007966127565303,
+      "bias_update_rms": 0.0002167748926504395,
+      "residual_update_rms": 0.00021677489153652438,
+      "bias_to_clean_update_rms": 0.12745491790409094,
+      "residual_to_clean_update_rms": 0.12745491724915364,
+      "neutral_observations": 0
+    }
+  },
+  "pep_clean": {
+    "test_accuracy": 0.5755,
+    "test_cost": 0.309199969291687,
+    "finite": true,
+    "wall_seconds": 145.47748732566833,
+    "corrector": {}
+  },
+  "pep_constant_selected": {
+    "test_accuracy": 0.597,
+    "test_cost": 0.3003366823196411,
+    "finite": true,
+    "wall_seconds": 152.78116750717163,
+    "corrector": {
+      "step": 99,
+      "bias_model": "dillavou_constant_update",
+      "clean_update_rms": 0.0008973869218368469,
+      "bias_update_rms": 0.00016005302290345862,
+      "residual_update_rms": 6.020679432068825e-12,
+      "bias_to_clean_update_rms": 0.17835453025752665,
+      "residual_to_clean_update_rms": 6.709123217157202e-09,
+      "neutral_observations": 1
+    }
+  },
+  "pep_oracle_selected": {
+    "test_accuracy": 0.5755,
+    "test_cost": 0.309199969291687,
+    "finite": true,
+    "wall_seconds": 157.25092959403992,
+    "corrector": {
+      "step": 99,
+      "bias_model": "dillavou_constant_update",
+      "clean_update_rms": 0.0009169057171871156,
+      "bias_update_rms": 0.00016005302290345862,
+      "residual_update_rms": 0.0,
+      "bias_to_clean_update_rms": 0.1745577761195224,
+      "residual_to_clean_update_rms": 0.0,
+      "neutral_observations": 0
+    }
+  },
+  "pep_raw_03": {
+    "test_accuracy": 0.5615,
+    "test_cost": 0.30644658470153807,
+    "finite": true,
+    "wall_seconds": 155.52709484100342,
+    "corrector": {
+      "step": 99,
+      "bias_model": "dillavou_constant_update",
+      "clean_update_rms": 0.00062359184603791,
+      "bias_update_rms": 4.8015909032388e-05,
+      "residual_update_rms": 4.801590797622057e-05,
+      "bias_to_clean_update_rms": 0.07699893662411514,
+      "residual_to_clean_update_rms": 0.0769989349304313,
+      "neutral_observations": 0
+    }
+  },
+  "pep_raw_1": {
+    "test_accuracy": 0.1965,
+    "test_cost": 0.4308369312286377,
+    "finite": true,
+    "wall_seconds": 153.90621161460876,
+    "corrector": {
+      "step": 99,
+      "bias_model": "dillavou_constant_update",
+      "clean_update_rms": 0.0005663993811762308,
+      "bias_update_rms": 0.00016005302290345862,
+      "residual_update_rms": 0.00016005302210418226,
+      "bias_to_clean_update_rms": 0.28257979832371916,
+      "residual_to_clean_update_rms": 0.28257979691256585,
+      "neutral_observations": 0
+    }
+  },
+  "pep_raw_10": {
+    "test_accuracy": 0.1015,
+    "test_cost": NaN,
+    "finite": false,
+    "wall_seconds": 152.3833601474762,
+    "corrector": {
+      "step": 99,
+      "bias_model": "dillavou_constant_update",
+      "clean_update_rms": NaN,
+      "bias_update_rms": NaN,
+      "residual_update_rms": NaN,
+      "bias_to_clean_update_rms": NaN,
+      "residual_to_clean_update_rms": NaN,
+      "neutral_observations": 0
+    }
+  },
+  "pep_raw_3": {
+    "test_accuracy": 0.1015,
+    "test_cost": NaN,
+    "finite": false,
+    "wall_seconds": 153.92182517051697,
+    "corrector": {
+      "step": 99,
+      "bias_model": "dillavou_constant_update",
+      "clean_update_rms": NaN,
+      "bias_update_rms": NaN,
+      "residual_update_rms": NaN,
+      "bias_to_clean_update_rms": NaN,
+      "residual_to_clean_update_rms": NaN,
+      "neutral_observations": 0
+    }
+  },
+  "pep_raw_beta05": {
+    "test_accuracy": 0.544,
+    "test_cost": 0.32427291965484617,
+    "finite": true,
+    "wall_seconds": 157.60576701164246,
+    "corrector": {
+      "step": 99,
+      "bias_model": "dillavou_constant_update",
+      "clean_update_rms": 0.000598504018745181,
+      "bias_update_rms": 0.0001342120021169413,
+      "residual_update_rms": 0.00013421200211600787,
+      "bias_to_clean_update_rms": 0.22424578267382256,
+      "residual_to_clean_update_rms": 0.224245782672263,
+      "neutral_observations": 0
+    }
+  },
+  "pep_raw_beta1": {
+    "test_accuracy": 0.085,
+    "test_cost": 0.4508027458190918,
+    "finite": true,
+    "wall_seconds": 155.58481884002686,
+    "corrector": {
+      "step": 99,
+      "bias_model": "dillavou_constant_update",
+      "clean_update_rms": 0.00017692629099073527,
+      "bias_update_rms": 0.00014855022008540845,
+      "residual_update_rms": 0.00014855022092355845,
+      "bias_to_clean_update_rms": 0.839616425877527,
+      "residual_to_clean_update_rms": 0.8396164306148105,
+      "neutral_observations": 0
+    }
+  },
+  "pep_raw_beta2": {
+    "test_accuracy": 0.1015,
+    "test_cost": NaN,
+    "finite": false,
+    "wall_seconds": 154.3118805885315,
+    "corrector": {
+      "step": 99,
+      "bias_model": "dillavou_constant_update",
+      "clean_update_rms": NaN,
+      "bias_update_rms": NaN,
+      "residual_update_rms": NaN,
+      "bias_to_clean_update_rms": NaN,
+      "residual_to_clean_update_rms": NaN,
+      "neutral_observations": 0
+    }
+  },
+  "pep_sdil_3": {
+    "test_accuracy": 0.5845,
+    "test_cost": 0.30579797554016114,
+    "finite": true,
+    "wall_seconds": 153.1792278289795,
+    "corrector": {
+      "step": 99,
+      "bias_model": "dillavou_constant_update",
+      "clean_update_rms": 0.0006428324867539793,
+      "bias_update_rms": 0.00048015905710687166,
+      "residual_update_rms": 1.2244390282131502e-11,
+      "bias_to_clean_update_rms": 0.746942737028527,
+      "residual_to_clean_update_rms": 1.9047559876695523e-08,
+      "neutral_observations": 1
+    }
+  },
+  "pep_sdil_selected": {
+    "test_accuracy": 0.597,
+    "test_cost": 0.3003366823196411,
+    "finite": true,
+    "wall_seconds": 158.1991639137268,
+    "corrector": {
+      "step": 99,
+      "bias_model": "dillavou_constant_update",
+      "clean_update_rms": 0.0008973869218368469,
+      "bias_update_rms": 0.00016005302290345862,
+      "residual_update_rms": 6.020679432068825e-12,
+      "bias_to_clean_update_rms": 0.17835453025752665,
+      "residual_to_clean_update_rms": 6.709123217157202e-09,
+      "neutral_observations": 1
+    }
+  },
+  "random_clean": {
+    "test_accuracy": 0.487,
+    "test_cost": 0.32863751792907714,
+    "finite": true,
+    "wall_seconds": 148.2477421760559,
+    "corrector": {}
+  },
+  "random_raw_selected": {
+    "test_accuracy": 0.085,
+    "test_cost": 0.671344825744629,
+    "finite": true,
+    "wall_seconds": 158.12627720832825,
+    "corrector": {
+      "step": 99,
+      "bias_model": "dillavou_constant_update",
+      "clean_update_rms": 0.0006369761166715286,
+      "bias_update_rms": 0.0002803655771934793,
+      "residual_update_rms": 0.00028036557611689906,
+      "bias_to_clean_update_rms": 0.44015084687713063,
+      "residual_to_clean_update_rms": 0.44015084518698844,
+      "neutral_observations": 0
+    }
+  }
+}