Input Convex Gradient Networks
Jack Richter-Powell, Jonathan Lorraine, Brandon Amos
People
Brandon Amos
Research Scientist
I am a Research Scientist at Facebook AI (FAIR) and study machine learning and optimization. I completed a PhD with Prof. Zico Kolter at CMU on optimization-based modeling components for learning and control.
Interests
Machine learning, optimization, control, reinforcement learning, meta-learning, structured prediction, and energy-based modeling
Latest Publications
Optimal Transport and Machine Learning (OTML) Workshop at NeurIPS
Cross-Domain Imitation Learning via Optimal Transport
Arnaud Fickinger, Samuel Cohen, Stuart Russell, Brandon Amos
Sliced Multi-Marginal Optimal Transport
Samuel Cohen, Alexander Terenin, Yannik Pitcan, Brandon Amos, Marc Peter Deisenroth, K S Sesh Kumar
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints
Anselm Paulus, Michal Rolinek, Vít Musil, Brandon Amos, Georg Martius
Riemannian Convex Potential Maps
Samuel Cohen, Brandon Amos, Yaron Lipman
Neural Fixed-Point Acceleration for Convex Optimization
Shobha Venkataraman, Brandon Amos