RC
Ricky T. Q. Chen
cs.LGstat.MLcs.AIcs.CVmath.OCphysics.chem-phphysics.comp-phquant-phcs.NAmath.NA
On Valency
published · living versionsW_q6v7yqy5·v1 · currentpublished
EVA-Flow: Learning Shared Chemistry for Unified Environment-Aware Molecular Conformation Generation
with Bing Yan, Anuroop Sriram, Zachary Ward Ulissi, Kyunghyun Cho +1
1 version
Preprints & journals
49 papers in the corpus · 2018–2025Enhancing Diffusion-Based Sampling with Molecular Collective Variables2510.11923v2 · Juno Nam, B'alint M'at'e, Artur P. Toshev et al.2025 · 1 citationarXiv
OneFlow: Concurrent Mixed-Modal and Interleaved Generation with Edit Flows2510.03506v3 · John Nguyen, Marton Havasi, Tariq Berrada et al.2025 · 0 citationsarXiv
GLASS Flows: Transition Sampling for Alignment of Flow and Diffusion Models2509.25170v3 · Peter Holderrieth, Uriel Singer, Tommi Jaakkola et al.2025 · 0 citationsarXiv
Adjoint Schrödinger Bridge Sampler2506.22565v2 · Guan-Horng Liu, Jaemoo Choi, Yongxin Chen et al.2025 · 1 citationarXiv
Edit Flows: Flow Matching with Edit Operations2506.09018v3 · Marton Havasi, Brian Karrer, Itai Gat et al.2025 · 0 citationsarXiv
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching2504.11713v3 · Aaron Havens, Benjamin Kurt Miller, Bing Yan et al.2025 · 1 citationarXiv
FlowDec: A flow-based full-band general audio codec with high perceptual quality2503.01485v1 · Simon Welker, Matthew Le, Ricky T. Q. Chen et al.2025 · 0 citationsarXiv
Flow Matching Guide and Code2412.06264v1 · Yaron Lipman, Marton Havasi, Peter Holderrieth et al.2024 · 15 citationsarXiv
Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective2412.03487v1 · Neta Shaul, Itai Gat, Marton Havasi et al.2024 · 0 citationsarXiv
Generator Matching: Generative modeling with arbitrary Markov processes2410.20587v3 · Peter Holderrieth, Marton Havasi, Jason Yim et al.2024 · 0 citationsarXiv
Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control2409.08861v5 · Carles Domingo-Enrich, Michal Drozdzal, Brian Karrer et al.2024 · 3 citationsarXiv
Discrete Flow Matching2407.15595v2 · Itai Gat, Tal Remez, Neta Shaul et al.2024 · 22 citationsarXiv
FlowMM: Generating Materials with Riemannian Flow Matching2406.04713v1 · Benjamin Kurt Miller, Ricky T. Q. Chen, Anuroop Sriram et al.2024 · 9 citationsICML 2024
Neural Optimal Transport with Lagrangian Costs2406.00288v1 · Aram-Alexandre Pooladian, Carles Domingo-Enrich, Ricky T. Q. Chen et al.2024 · 1 citationarXiv
Variational Schrödinger Diffusion Models2405.04795v5 · Wei Deng, Weijian Luo, Yixin Tan et al.2024 · 1 citationarXiv
Leveraging Normalizing Flows for Orbital-Free Density Functional Theory2404.08764v3 · Alexandre de Camargo, Ricky T. Q. Chen, Rodrigo A. Vargas-Hern'andez2024 · 2 citationsMach. Learn.: Sci. Technol. 5 035061 (2024)
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models2403.01329v1 · Neta Shaul, Uriel Singer, Ricky T. Q. Chen et al.2024 · 1 citationarXiv
Stochastic Optimal Control Matching2312.02027v5 · Carles Domingo-Enrich, Jiequn Han, Brandon Amos et al.2023 · 0 citationsarXiv
Guided Flows for Generative Modeling and Decision Making2311.13443v2 · Qinqing Zheng, Matt Le, Neta Shaul et al.2023 · 1 citationarXiv
Orbital-Free Density Functional Theory with Continuous Normalizing Flows2311.13518v1 · Alexandre de Camargo, Ricky T. Q. Chen, Rodrigo A. Vargas-Hern'andez2023 · 1 citationarXiv
Bespoke Solvers for Generative Flow Models2310.19075v1 · Neta Shaul, Juan Perez, Ricky T. Q. Chen et al.2023 · 2 citationsarXiv
Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization2310.02679v3 · Dinghuai Zhang, Ricky T. Q. Chen, Cheng-Hao Liu et al.2023 · 0 citationsarXiv
Generalized Schrödinger Bridge Matching2310.02233v2 · Guan-Horng Liu, Yaron Lipman, Maximilian Nickel et al.2023 · 1 citationarXiv
Training-free Linear Image Inverses via Flows2310.04432v2 · Ashwini Pokle, Matthew J. Muckley, Ricky T. Q. Chen et al.2023 · 0 citationsTransactions on Machine Learning Research 2024
On Kinetic Optimal Probability Paths for Generative Models2306.06626v1 · Neta Shaul, Ricky T. Q. Chen, Maximilian Nickel et al.2023 · 1 citationarXiv
Distributional GFlowNets with Quantile Flows2302.05793v3 · Dinghuai Zhang, Ling Pan, Ricky T. Q. Chen et al.2023 · 2 citationsarXiv
Flow Matching on General Geometries2302.03660v3 · Ricky T. Q. Chen, Yaron Lipman2023 · 6 citationsICLR 2024
Latent Discretization for Continuous-time Sequence Compression2212.13659v1 · Ricky T. Q. Chen, Matthew Le, Matthew Muckley et al.2022 · 0 citationsarXiv
Flow Matching for Generative Modeling2210.02747v2 · Yaron Lipman, Ricky T. Q. Chen, Heli Ben-Hamu et al.2022 · 192 citationsarXiv
Latent State Marginalization as a Low-cost Approach for Improving Exploration2210.00999v2 · Dinghuai Zhang, Aaron Courville, Yoshua Bengio et al.2022 · 1 citationarXiv
Unifying Generative Models with GFlowNets and Beyond2209.02606v2 · Dinghuai Zhang, Ricky T. Q. Chen, Nikolay Malkin et al.2022 · 4 citationsarXiv
Matching Normalizing Flows and Probability Paths on Manifolds2207.04711v1 · Heli Ben-Hamu, Samuel Cohen, Joey Bose et al.2022 · 6 citationsarXiv
Fully differentiable optimization protocols for non-equilibrium steady states2103.12604v2 · Rodrigo A. Vargas-Hern'andez, Ricky T. Q. Chen, Kenneth A. Jung et al.2021 · 19 citationsarXiv
Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations2102.06559v4 · Winnie Xu, Ricky T.Q. Chen, Xuechen Li et al.2021 · 22 citationsarXiv
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization2012.05942v2 · Chin-Wei Huang, Ricky T. Q. Chen, Christos Tsirigotis et al.2020 · 30 citationsarXiv
Inverse design of dissipative quantum steady-states with implicit differentiation2011.12808v1 · Rodrigo A. Vargas-Hern'andez, Ricky T. Q. Chen, Kenneth A. Jung et al.2020 · 4 citationsarXiv
Neural Spatio-Temporal Point Processes2011.04583v3 · Ricky T. Q. Chen, Brandon Amos, Maximilian Nickel2020 · 33 citationsICLR 2021
Self-Tuning Stochastic Optimization with Curvature-Aware Gradient Filtering2011.04803v1 · Ricky T. Q. Chen, Dami Choi, Lukas Balles et al.2020 · 2 citationsarXiv
Learning Neural Event Functions for Ordinary Differential Equations2011.03902v4 · Ricky T. Q. Chen, Brandon Amos, Maximilian Nickel2020 · 53 citationsICLR 2021
"Hey, that's not an ODE": Faster ODE Adjoints via Seminorms2009.09457v2 · Patrick Kidger, Ricky T. Q. Chen, Terry Lyons2020 · 11 citationsarXiv
SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models2004.00353v2 · Yucen Luo, Alex Beatson, Mohammad Norouzi et al.2020 · 16 citationsarXiv
Scalable Gradients for Stochastic Differential Equations2001.01328v6 · Xuechen Li, Ting-Kam Leonard Wong, Ricky T. Q. Chen et al.2020 · 147 citationsarXiv
Neural Networks with Cheap Differential Operators1912.03579v1 · Ricky T. Q. Chen, David Duvenaud2019 · 19 citationsarXiv
Latent ODEs for Irregularly-Sampled Time Series1907.03907v1 · Yulia Rubanova, Ricky T. Q. Chen, David Duvenaud2019 · 134 citationsarXiv
Residual Flows for Invertible Generative Modeling1906.02735v6 · Ricky T. Q. Chen, Jens Behrmann, David Duvenaud et al.2019 · 194 citationsarXiv
Invertible Residual Networks1811.00995v3 · Jens Behrmann, Will Grathwohl, Ricky T. Q. Chen et al.2018 · 150 citationsProceedings of the International Conference on Machine Learning (ICML), 2019
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models1810.01367v3 · Will Grathwohl, Ricky T. Q. Chen, Jesse Bettencourt et al.2018 · 426 citationsarXiv
Neural Ordinary Differential Equations1806.07366v6 · Ricky T. Q. Chen, Yulia Rubanova, Jesse Bettencourt et al.2018 · 2,094 citationsarXiv
Isolating Sources of Disentanglement in Variational Autoencoders1802.04942v5 · Ricky T. Q. Chen, Xuechen Li, Roger Grosse et al.2018 · 778 citationsarXiv
Career total: 55 works. 49 are in this corpus.
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