1 files changed, 114 insertions, 0 deletions
diff --git a/experiments/native_baseline_protocols.json b/experiments/native_baseline_protocols.json
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+{
+  "schema_version": 1,
+  "protocols": {
+    "burstccn_cifar10_symplastic_paper_seed0": {
+      "method": "BurstCCN",
+      "dataset": "CIFAR-10",
+      "seed": 0,
+      "expected_epochs": 400,
+      "repository_url": "https://github.com/neuralml/BurstCCN-journal",
+      "source_revision": "9170e110b4d18729dc5bc5d517fc52eefcd04d69",
+      "paper_url": "https://www.biorxiv.org/content/10.64898/2026.06.16.732595v1",
+      "published_accuracy_percent_mean": 82.97,
+      "published_accuracy_percent_sd": 0.21,
+      "selection_semantics": {
+        "primary": "final epoch test accuracy",
+        "validation_selected": "test accuracy at the epoch with minimum validation top-1 error",
+        "test_selected": "maximum test accuracy over all epochs; reported separately"
+      },
+      "required_config": {
+        "model.loss_type": "mse",
+        "model.hidden_activation_function": "relu_rms",
+        "model.output_activation_function": "softmax",
+        "model.W.optimiser.lr": 0.002,
+        "model.W.optimiser.momentum": 0.9,
+        "model.W.optimiser.weight_decay": 0.0001,
+        "model.Y.mode": "sym_W",
+        "model.Y.grad_type": "kp",
+        "model.Y.optimiser.lr": 0.001,
+        "model.Q.mode": "sym_Y",
+        "model.Q.grad_type": "kp",
+        "model.Q.optimiser.lr": 0.001,
+        "dataset.dataset_name": "cifar10",
+        "dataset.use_validation": true,
+        "training.seed": 0,
+        "training.n_epochs": 400,
+        "training.batch_size": 32,
+        "training.label_smoothing": 0.05
+      },
+      "command": [
+        "python",
+        "train.py",
+        "--config-name=cifar10_burstccn_kp",
+        "dataset.root=/home/yurenh2/sdrn/data",
+        "training.seed=0",
+        "model.hidden_activation_function=relu_rms",
+        "model.output_activation_function=softmax",
+        "model.W.optimiser.lr=0.002",
+        "model.Y.mode=sym_W",
+        "model.Q.mode=sym_Y",
+        "hydra.run.dir=/scratch/yurenh2/burstccn-native/cifar10_symplastic_paper_seed0"
+      ]
+    },
+    "dualprop_cifar10_vgg16_a0_b0p1_seed1988": {
+      "method": "Dual Propagation",
+      "dataset": "CIFAR-10",
+      "seed": 1988,
+      "expected_epochs": 130,
+      "repository_url": "https://github.com/Rasmuskh/dualprop_icml_2024",
+      "source_revision": "7b2595b34421e1483a721dbfdeff8cdabda3a1ff",
+      "paper_url": "https://arxiv.org/abs/2402.08573",
+      "published_accuracy_percent_mean": 92.41,
+      "published_accuracy_percent_sd": 0.07,
+      "selection_semantics": {
+        "primary": "single test evaluation from the best-validation checkpoint",
+        "validation_selected": "same as primary",
+        "test_selected": "not available; test is evaluated only once"
+      },
+      "resolved_config": {
+        "model": "VGG16",
+        "alpha": 0.0,
+        "beta": 0.1,
+        "learning_algorithm": "dualprop-lagr-ff",
+        "inference_sequence": "fwK",
+        "inference_passes_nudged": 16,
+        "batch_size": 100,
+        "learning_rate": 0.025,
+        "warmup_epochs": 10,
+        "decay_epochs": 120,
+        "momentum": 0.9,
+        "weight_decay": 0.0005,
+        "percent_train": 90,
+        "percent_val": 10
+      },
+      "command": [
+        "python",
+        "train.py",
+        "--model", "VGG16",
+        "--dataset", "cifar10",
+        "--num-epochs", "130",
+        "--batch-size", "100",
+        "--alpha", "0.0",
+        "--beta", "0.1",
+        "--loss", "sce",
+        "--inference-sequence", "fwK",
+        "--inference-passes-nudged", "16",
+        "--learning-rate", "0.025",
+        "--learning-rate-final", "0.000002",
+        "--warmup-learning-rate", "0.001",
+        "--learning-algorithm", "dualprop-lagr-ff",
+        "--activation", "relu",
+        "--decay-epochs", "120",
+        "--warmup-epochs", "10",
+        "--momentum", "0.9",
+        "--weight-decay", "5e-4",
+        "--dtype", "float32",
+        "--param-dtype", "float32",
+        "--percent-train", "90",
+        "--percent-val", "10",
+        "--seeds", "1988",
+        "--experiment-name", "sdil-dp-full-a0-b0p1-seed1988-v1"
+      ]
+    }
+  }
+}