Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

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


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

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

* ICML 2022 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

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


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Meta Optimal Transport


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


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Semi-Discrete Normalizing Flows through Differentiable Tessellation


Mar 14, 2022
Ricky T. Q. Chen, Brandon Amos, Maximilian Nickel


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Tutorial on amortized optimization for learning to optimize over continuous domains


Feb 01, 2022
Brandon Amos


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Input Convex Gradient Networks


Nov 23, 2021
Jack Richter-Powell, Jonathan Lorraine, Brandon Amos

* Accepted to NeurIPS 2021 Optimal Transport and Machine Learning Workshop https://otml2021.github.io 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Cross-Domain Imitation Learning via Optimal Transport


Oct 14, 2021
Arnaud Fickinger, Samuel Cohen, Stuart Russell, Brandon Amos

* typos corrected, references added 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Scalable Online Planning via Reinforcement Learning Fine-Tuning


Sep 30, 2021
Arnaud Fickinger, Hengyuan Hu, Brandon Amos, Stuart Russell, Noam Brown


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
3
4
>>