DiffusionControl checkpoints

Trained models for the DiffusionControl project (conditional diffusion models that generate certified feedback controllers). Code, protocols and results live in the GitHub repo matCercola18/matte_server under DiffusionControl/, branch icml-experiments; each family has a research doc in DiffusionControl/docs/.

Files keep their repo paths (models/...), so code that loads models/<name>.pth works after huggingface_hub.snapshot_download. Only final checkpoints are included (no Last_*, no intermediate step checkpoints).

family	files	doc
Furuta (QUBE-Servo 2), headline 1D U-Net generator	models/v4/unet_a*_s96000.pth, unet_s_s40000.pth, unet_sxd_s40000.pth	furuta_generated_trajectory_v4.md
Furuta regression twins and MLP ablations	models/v4/reg_*, models/v4/mlp_*	same
Furuta earlier trajectory models (v1-v3, clip-bug fix)	Best_furuta_traj_cond_*	furuta_generated_trajectory*.md
Furuta energy-shaping models (superseded)	Best_furuta_cond, _full_cond, _handoff_cond	diffusion_complete_nonlinear_controller.md
Pendulum	Best_pendulum_* (multi-solution multi_*, physics-informed pg_*/abl_dl_*, ablations abl_*)	pendulum_multi_solution.md, physics_informed_generation.md, ablations.md, ood_shift.md
SISO Lur'e	Best_nonlinear_cond_popov_*, siso_pg_c*, costcond_siso, cert_perfspan_L, regressor_siso	RESULTS.md, physics_informed_generation.md
MIMO 2x2	Best_mimo_cond_2x2*	RESULTS.md
CVAE baselines	Best_cvae_*	ablations.md
Witsenhausen	*witsenhausen_cond*	witsenhausen.md

Note: Best_nonlinear_cond_popov_L_sector/_closedloop/_distill are documented negative results.