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MCMamba-SSF Circular-FiLM improvement code snapshot

Source experiment:

/project/anhlt/0607/jnf_mamba_experiment/mcmamba_ssf_circular_film_experiment_20260729

Copied on 2026-07-31 without modifying the source experiment or its running training job.

Main experiment files

  • mcmamba_ssf_circular_film.py: model implementation, including circular Fourier DoA encoding, the DoA MLP, zero-initialized FiLM heads, and post-LayerNorm FiLM in both spatial Bi-Mamba stages.
  • train_mcmamba_ssf_circular_film.py: training entrypoint and improvement hyperparameters.
  • run_mcmamba_ssf_circular_film_sp1_8k_bs12.sh: launch recipe used by the source experiment.
  • effective_config.yaml: resolved configuration from the active run.
  • README.md: architecture and controlled-comparison notes.

Included local dependencies

  • upstream_snapshot/config/ssf_config.yaml
  • upstream_snapshot/data/datamodule.py
  • upstream_snapshot/data/dataset.py
  • upstream_snapshot/data/data_gen_var_pos.py
  • upstream_snapshot/models/exp_ssf.py
  • upstream_snapshot/models/exp_enhancement.py
  • upstream_snapshot/utils/log_images.py
  • paper_reproduction/validate_original_var_pos_dataset.py

These are the exact local files imported or opened by the training entrypoint and its SSF training/validation path. The upstream source commit is ddbd620d8e31f1e20bb93ef09bcf4c3f40063c7a.

Baseline reference

baseline_reference/ contains the four source files from the original MCMamba-SSF experiment so the Circular-FiLM changes can be reviewed against the unchanged baseline.

Checkpoints, TensorBoard events, logs, datasets, and Python cache files are intentionally excluded.