Ricky T. Q. Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
4
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control. | Carles Domingo-Enrich, Michal Drozdzal, Brian Karrer, Ricky T. Q. Chen |
| 2025 | ICLR | Generator Matching: Generative modeling with arbitrary Markov processes. | Peter Holderrieth, Marton Havasi, Jason Yim, Neta Shaul, Itai Gat, Tommi S. Jaakkola, Brian Karrer, Ricky T. Q. Chen, Yaron Lipman |
| 2025 | ICLR | Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective. | Neta Shaul, Itai Gat, Marton Havasi, Daniel Severo, Anuroop Sriram, Peter Holderrieth, Brian Karrer, Yaron Lipman, Ricky T. Q. Chen |
| 2025 | ICLR | FlowDec: A flow-based full-band general audio codec with high perceptual quality. | Simon Welker, Matthew Le, Ricky T. Q. Chen, Wei-Ning Hsu, Timo Gerkmann, Alexander Richard, Yi-Chiao Wu |
| 2025 | ICML | Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching. | Aaron J. Havens, Benjamin Kurt Miller, Bing Yan, Carles Domingo-Enrich, Anuroop Sriram, Daniel S. Levine, Brandon M. Wood, Bin Hu, Brandon Amos, Brian Karrer, Xiang Fu, Guan-Horng Liu, Ricky T. Q. Chen |
| 2025 | UAI | Simulation-Free Differential Dynamics Through Neural Conservation Laws. | Mengjian Hua, Eric Vanden-Eijnden, Ricky T. Q. Chen |
| 2024 | ICLR | Flow Matching on General Geometries. | Ricky T. Q. Chen, Yaron Lipman |
| 2024 | ICLR | Generalized Schrdinger Bridge Matching. | Guan-Horng Liu, Yaron Lipman, Maximilian Nickel, Brian Karrer, Evangelos A. Theodorou, Ricky T. Q. Chen |
| 2024 | ICLR | Bespoke Solvers for Generative Flow Models. | Neta Shaul, Juan C. Prez, Ricky T. Q. Chen, Ali K. Thabet, Albert Pumarola, Yaron Lipman |
| 2024 | ICLR | Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization. | Dinghuai Zhang, Ricky T. Q. Chen, Cheng-Hao Liu, Aaron C. Courville, Yoshua Bengio |
| 2024 | ICML | Variational Schrdinger Diffusion Models. | Wei Deng, Weijian Luo, Yixin Tan, Marin Bilos, Yu Chen, Yuriy Nevmyvaka, Ricky T. Q. Chen |
| 2024 | ICML | FlowMM: Generating Materials with Riemannian Flow Matching. | Benjamin Kurt Miller, Ricky T. Q. Chen, Anuroop Sriram, Brandon M. Wood |
| 2024 | ICML | Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models. | Neta Shaul, Uriel Singer, Ricky T. Q. Chen, Matthew Le, Ali K. Thabet, Albert Pumarola, Yaron Lipman |
| 2024 | UAI | Neural Optimal Transport with Lagrangian Costs. | Aram-Alexandre Pooladian, Carles Domingo-Enrich, Ricky T. Q. Chen, Brandon Amos |
| 2023 | ICLR | Flow Matching for Generative Modeling. | Yaron Lipman, Ricky T. Q. Chen, Heli Ben-Hamu, Maximilian Nickel, Matthew Le |
| 2023 | ICLR | Latent State Marginalization as a Low-cost Approach for Improving Exploration. | Dinghuai Zhang, Aaron C. Courville, Yoshua Bengio, Qinqing Zheng, Amy Zhang, Ricky T. Q. Chen |
| 2023 | ICML | Multisample Flow Matching: Straightening Flows with Minibatch Couplings. | Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich, Brandon Amos, Yaron Lipman, Ricky T. Q. Chen |
| 2023 | ICML | On Kinetic Optimal Probability Paths for Generative Models. | Neta Shaul, Ricky T. Q. Chen, Maximilian Nickel, Matthew Le, Yaron Lipman |
| 2022 | AISTATS | Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations. | Winnie Xu, Ricky T. Q. Chen, Xuechen Li, David Duvenaud |
| 2022 | ICML | Matching Normalizing Flows and Probability Paths on Manifolds. | Heli Ben-Hamu, Samuel Cohen, Joey Bose, Brandon Amos, Maximilian Nickel, Aditya Grover, Ricky T. Q. Chen, Yaron Lipman |
| 2021 | ICLR | Learning Neural Event Functions for Ordinary Differential Equations. | Ricky T. Q. Chen, Brandon Amos, Maximilian Nickel |
| 2021 | ICLR | Neural Spatio-Temporal Point Processes. | Ricky T. Q. Chen, Brandon Amos, Maximilian Nickel |
| 2021 | ICLR | Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization. | Chin-Wei Huang, Ricky T. Q. Chen, Christos Tsirigotis, Aaron C. Courville |
| 2021 | ICML | "Hey, that's not an ODE": Faster ODE Adjoints via Seminorms. | Patrick Kidger, Ricky T. Q. Chen, Terry J. Lyons |
| 2020 | AISTATS | Scalable Gradients for Stochastic Differential Equations. | Xuechen Li, Ting-Kam Leonard Wong, Ricky T. Q. Chen, David Duvenaud |
| 2020 | ICLR | SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models. | Yucen Luo, Alex Beatson, Mohammad Norouzi, Jun Zhu, David Duvenaud, Ryan P. Adams, Ricky T. Q. Chen |
| 2019 | ICLR | FFJORD: Free-Form Continuous Dynamics for Scalable Reversible Generative Models. | Will Grathwohl, Ricky T. Q. Chen, Jesse Bettencourt, Ilya Sutskever, David Duvenaud |
| 2019 | ICML | Invertible Residual Networks. | Jens Behrmann, Will Grathwohl, Ricky T. Q. Chen, David Duvenaud, Jrn-Henrik Jacobsen |