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20232026
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cs.LG2026

SimpleDesign: A Joint Model for Protein Sequence and Structure Codesign

Jiarui Lu, Yuyang Wang, Yizhe Zhang +4

Proteins are fundamental to biological processes, with their function determined by the complex interplay between the amino acid sequence and the three-dimensional structure. Devel…

cs.LG2026

A Mechanistic Study of Algorithmic Generalization in Diffusion Models on Modular Arithmetic

Joon Hyeok Kim, Yong-Hyun Park, Mattis Dalsætra Østby +1

Despite their empirical success, how diffusion models generalize remains poorly understood from a mechanistic perspective. In this work, we provide a controlled mechanistic account…

cs.LG2026

The Coupling Within: Flow Matching via Distilled Normalizing Flows

David Berthelot, Tianrong Chen, Jiatao Gu +6

Flow models have rapidly become the go-to method for training and deploying large-scale generators, owing their success to inference-time flexibility via adjustable integration ste…

cs.LG2023

Adaptivity and Modularity for Efficient Generalization Over Task Complexity

Samira Abnar, Omid Saremi, Laurent Dinh +8

Can transformers generalize efficiently on problems that require dealing with examples with different levels of difficulty? We introduce a new task tailored to assess generalizatio…

cs.LG2023

Generative Modeling with Phase Stochastic Bridges

Tianrong Chen, Jiatao Gu, Laurent Dinh +3

Diffusion models (DMs) represent state-of-the-art generative models for continuous inputs. DMs work by constructing a Stochastic Differential Equation (SDE) in the input space (ie,…