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Brandon Amos

Semi-Discrete Normalizing Flows through Differentiable Tessellation

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Mar 14, 2022
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Tutorial on amortized optimization for learning to optimize over continuous domains

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Feb 01, 2022
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Input Convex Gradient Networks

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Nov 23, 2021
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Cross-Domain Imitation Learning via Optimal Transport

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Oct 14, 2021
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Scalable Online Planning via Reinforcement Learning Fine-Tuning

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Sep 30, 2021
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Neural Fixed-Point Acceleration for Convex Optimization

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Jul 23, 2021
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Riemannian Convex Potential Maps

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Jun 18, 2021
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CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints

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May 05, 2021
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MBRL-Lib: A Modular Library for Model-based Reinforcement Learning

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Apr 20, 2021
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Neural Spatio-Temporal Point Processes

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Nov 09, 2020
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