activity
20232026
most citedPepTune: De Novo Generation of Therapeutic Peptides with Multi-Objective-Guided Discrete Diffusion

10 citations · 24 across the 11 of their papers we have counts for

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Showing cs.LGShow all

5 papers · 1 filter

cs.LG2025

Entangled Schrödinger Bridge Matching

Sophia Tang, Yinuo Zhang, Pranam Chatterjee

Simulating trajectories of multi-particle systems on complex energy landscapes is a central task in molecular dynamics (MD) and drug discovery, but remains challenging at scale due…

cs.LG2025

AReUReDi: Annealed Rectified Updates for Refining Discrete Flows with Multi-Objective Guidance

Tong Chen, Yinuo Zhang, Pranam Chatterjee

Designing sequences that satisfy multiple, often conflicting, objectives is a central challenge in therapeutic and biomolecular engineering. Existing generative frameworks largely…

cs.LG2025

Branched Schrödinger Bridge Matching

Sophia Tang, Yinuo Zhang, Alexander Tong +1

Predicting the intermediate trajectories between an initial and target distribution is a central problem in generative modeling. Existing approaches, such as flow matching and Schr…

cs.LG2025★ 3 cited

Multi-Objective-Guided Discrete Flow Matching for Controllable Biological Sequence Design

Tong Chen, Yinuo Zhang, Sophia Tang +1

Designing biological sequences that satisfy multiple, often conflicting, functional and biophysical criteria remains a central challenge in biomolecule engineering. While discrete…

cs.LG2025★ 3 cited

Gumbel-Softmax Flow Matching with Straight-Through Guidance for Controllable Biological Sequence Generation

Sophia Tang, Yinuo Zhang, Alexander Tong +1

Flow matching in the continuous simplex has emerged as a promising strategy for DNA sequence design, but struggles to scale to higher simplex dimensions required for peptide and pr…