Author

Abbas Mammadov

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#machine learning Preprint Sep 2026

WTF?! Simulation-Free Reinforcement Learning with Wasserstein-Tilted Flow Maps

It is argued that accelerated samplers such as flow maps are essential infrastructure for efficient post-training, and that the dominant KL-regularized formulation is only one of many choices worth revisiting.

Abbas Mammadov, Jerry Huang, Justin Lin et al. · 0 citations

#artificial intelligence May 2025

EquiReg: Equivariance Regularized Diffusion for Inverse Problems

EquiReg formalizes manifold-preferential equivariant functions that exhibit low equivariance error for on-manifold samples and high error for off-manifold ones, thereby guiding sampling toward symmetry-preserving regions of the solution space.

Bahareh Tolooshams, Aditi Chandrashekar, Rayhan Zirvi et al. · arXiv.org · 4 citations