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20172026
most citedDiscovery and Separation of Features for Invariant Representation Learning

7 citations · 14 across the 7 of their papers we have counts for

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17 papers · 1 filter

cs.LG2026

Scalable Spatio-Temporal SE(3) Diffusion for Long-Horizon Protein Dynamics

Nima Shoghi, Yuxuan Liu, Yuning Shen +3

Molecular dynamics (MD) simulations remain the gold standard for studying protein dynamics, but their computational cost limits access to biologically relevant timescales. Recent g…

cs.LG2026

Generation Order and Parallel Decoding in Masked Diffusion Models: An Information-Theoretic Perspective

Shaorong Zhang, Longxuan Yu, Rob Brekelmans +3

Masked Diffusion Models (MDMs) significantly accelerate inference by trading off sequential determinism. However, the theoretical mechanisms governing generation order and the risk…

cs.LG2025

Reducing the Probability of Undesirable Outputs in Language Models Using Probabilistic Inference

Stephen Zhao, Aidan Li, Rob Brekelmans +1

Reinforcement learning (RL) has become a predominant technique to align language models (LMs) with human preferences or promote outputs which are deemed to be desirable by a given…

cs.LG2025

Measurement-Aligned Sampling for Inverse Problem

Shaorong Zhang, Rob Brekelmans, Yunshu Wu +1

Diffusion models provide a powerful way to incorporate complex prior information for solving inverse problems. However, existing methods struggle to correctly incorporate guidance…

cs.LG2025

Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts

Marta Skreta, Tara Akhound-Sadegh, Viktor Ohanesian +6

While score-based generative models are the model of choice across diverse domains, there are limited tools available for controlling inference-time behavior in a principled manner…

cs.LG2024

Generalized Flow Matching for Transition Dynamics Modeling

Haibo Wang, Yuxuan Qiu, Yanze Wang +2

Simulating transition dynamics between metastable states is a fundamental challenge in dynamical systems and stochastic processes with wide real-world applications in understanding…