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Ricky T. Q. Chen
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Publications
- 2023
- [c18]Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich, Brandon Amos, Yaron Lipman, Ricky T. Q. Chen:
Multisample Flow Matching: Straightening Flows with Minibatch Couplings. ICML 2023: 28100-28127 - [c16]Dishank Bansal, Ricky T. Q. Chen, Mustafa Mukadam, Brandon Amos:
TaskMet: Task-driven Metric Learning for Model Learning. NeurIPS 2023 - [i29]Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich, Brandon Amos, Yaron Lipman, Ricky T. Q. Chen:
Multisample Flow Matching: Straightening Flows with Minibatch Couplings. CoRR abs/2304.14772 (2023) - [i22]Carles Domingo-Enrich, Jiequn Han, Brandon Amos, Joan Bruna, Ricky T. Q. Chen:
Stochastic Optimal Control Matching. CoRR abs/2312.02027 (2023) - [i21]Dishank Bansal, Ricky T. Q. Chen, Mustafa Mukadam, Brandon Amos:
TaskMet: Task-Driven Metric Learning for Model Learning. CoRR abs/2312.05250 (2023) - 2022
- [c14]Heli Ben-Hamu, Samuel Cohen, Joey Bose, Brandon Amos, Maximilian Nickel, Aditya Grover, Ricky T. Q. Chen, Yaron Lipman:
Matching Normalizing Flows and Probability Paths on Manifolds. ICML 2022: 1749-1763 - [c13]Ricky T. Q. Chen, Brandon Amos, Maximilian Nickel:
Semi-Discrete Normalizing Flows through Differentiable Tessellation. NeurIPS 2022 - [c12]Luis Pineda, Taosha Fan, Maurizio Monge, Shobha Venkataraman, Paloma Sodhi, Ricky T. Q. Chen, Joseph Ortiz, Daniel DeTone, Austin S. Wang, Stuart Anderson, Jing Dong, Brandon Amos, Mustafa Mukadam:
Theseus: A Library for Differentiable Nonlinear Optimization. NeurIPS 2022 - [i20]Ricky T. Q. Chen, Brandon Amos, Maximilian Nickel:
Semi-Discrete Normalizing Flows through Differentiable Tessellation. CoRR abs/2203.06832 (2022) - [i19]Heli Ben-Hamu, Samuel Cohen, Joey Bose, Brandon Amos, Aditya Grover, Maximilian Nickel, Ricky T. Q. Chen, Yaron Lipman:
Matching Normalizing Flows and Probability Paths on Manifolds. CoRR abs/2207.04711 (2022) - [i18]Luis Pineda, Taosha Fan, Maurizio Monge, Shobha Venkataraman, Paloma Sodhi, Ricky T. Q. Chen, Joseph Ortiz, Daniel DeTone, Austin S. Wang, Stuart Anderson, Jing Dong, Brandon Amos, Mustafa Mukadam:
Theseus: A Library for Differentiable Nonlinear Optimization. CoRR abs/2207.09442 (2022) - 2021
- [c10]Ricky T. Q. Chen, Brandon Amos, Maximilian Nickel:
Learning Neural Event Functions for Ordinary Differential Equations. ICLR 2021 - [c9]Ricky T. Q. Chen, Brandon Amos, Maximilian Nickel:
Neural Spatio-Temporal Point Processes. ICLR 2021 - 2020
- [i8]Ricky T. Q. Chen, Brandon Amos, Maximilian Nickel:
Learning Neural Event Functions for Ordinary Differential Equations. CoRR abs/2011.03902 (2020) - [i7]Ricky T. Q. Chen, Brandon Amos, Maximilian Nickel:
Neural Spatio-Temporal Point Processes. CoRR abs/2011.04583 (2020)
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