From 66e0d8b9fd4d0f7a2231d689c055e26fdf1cf04a Mon Sep 17 00:00:00 2001 From: YurenHao0426 Date: Sat, 13 Jun 2026 12:35:36 -0500 Subject: rrm workspace: TRM/HRM/SRM code, Maze dataset, dynamical-analysis pipeline Curated export for clone-and-run Maze training (2x A6000) + diagnostics. trm/hrm pretrain.py carry trajectory-augmentation code (backward-compatible). Heavy artifacts (checkpoints/wandb/npz) gitignored; see PROVENANCE.md. Co-Authored-By: Claude Fable 5 --- .../surrogate_flossing/figures/binary_surrogate_gradient_flossing.md | 2 ++ 1 file changed, 2 insertions(+) create mode 100644 research/flossing/surrogate_flossing/figures/binary_surrogate_gradient_flossing.md (limited to 'research/flossing/surrogate_flossing/figures/binary_surrogate_gradient_flossing.md') diff --git a/research/flossing/surrogate_flossing/figures/binary_surrogate_gradient_flossing.md b/research/flossing/surrogate_flossing/figures/binary_surrogate_gradient_flossing.md new file mode 100644 index 0000000..abc0c63 --- /dev/null +++ b/research/flossing/surrogate_flossing/figures/binary_surrogate_gradient_flossing.md @@ -0,0 +1,2 @@ + +**Figure:** Surrogate gradient flossing regularizes surrogate Lyapunov exponents and facilitates gradient signal propagation in binary neural networks. -- cgit v1.2.3