Ricky T. Q. Chen

15

Papers

156

Total Citations

Papers (15)

Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Generator Matching: Generative modeling with arbitrary Markov processes

FlowMM: Generating Materials with Riemannian Flow Matching

Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models

Variational Schrödinger Diffusion Models

Isolating Sources of Disentanglement in Variational Autoencoders

Neural Ordinary Differential Equations

Latent Ordinary Differential Equations for Irregularly-Sampled Time Series

Residual Flows for Invertible Generative Modeling

Neural Networks with Cheap Differential Operators

Theseus: A Library for Differentiable Nonlinear Optimization

Semi-Discrete Normalizing Flows through Differentiable Tessellation

Neural Conservation Laws: A Divergence-Free Perspective

TaskMet: Task-driven Metric Learning for Model Learning

Invertible Residual Networks