Masatoshi Uehara

A Joint Diffusion Model with Pre-Trained Priors for RNA Sequence-Structure Co-Design

Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design

Dynamic Search for Inference-Time Alignment in Diffusion Models

Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-based Decoding

Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design

Adding Conditional Control to Diffusion Models with Reinforcement Learning

Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design

Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control

Regularized DeepIV with Model Selection

Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding