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Brandon Amos

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TaskMet: Task-Driven Metric Learning for Model Learning

Dec 08, 2023
Dishank Bansal, Ricky T. Q. Chen, Mustafa Mukadam, Brandon Amos

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Stochastic Optimal Control Matching

Dec 04, 2023
Carles Domingo-Enrich, Jiequn Han, Brandon Amos, Joan Bruna, Ricky T. Q. Chen

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Learning to Warm-Start Fixed-Point Optimization Algorithms

Sep 14, 2023
Rajiv Sambharya, Georgina Hall, Brandon Amos, Bartolomeo Stellato

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Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information

Jul 18, 2023
Arman Zharmagambetov, Brandon Amos, Aaron Ferber, Taoan Huang, Bistra Dilkina, Yuandong Tian

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Multisample Flow Matching: Straightening Flows with Minibatch Couplings

Apr 28, 2023
Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich, Brandon Amos, Yaron Lipman, Ricky Chen

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Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories

Oct 12, 2022
Qinqing Zheng, Mikael Henaff, Brandon Amos, Aditya Grover

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Theseus: A Library for Differentiable Nonlinear Optimization

Jul 19, 2022
Luis Pineda, Taosha Fan, Maurizio Monge, Shobha Venkataraman, Paloma Sodhi, Ricky Chen, Joseph Ortiz, Daniel DeTone, Austin Wang, Stuart Anderson, Jing Dong, Brandon Amos, Mustafa Mukadam

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Matching Normalizing Flows and Probability Paths on Manifolds

Jul 11, 2022
Heli Ben-Hamu, Samuel Cohen, Joey Bose, Brandon Amos, Aditya Grover, Maximilian Nickel, Ricky T. Q. Chen, Yaron Lipman

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Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world

Jun 20, 2022
Eugene Vinitsky, Nathan Lichtlé, Xiaomeng Yang, Brandon Amos, Jakob Foerster

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Meta Optimal Transport

Jun 10, 2022
Brandon Amos, Samuel Cohen, Giulia Luise, Ievgen Redko

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