bamos.github.io - Brandon Amos

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I am a research scientist in the Fundamental AI Research (FAIR) group at Meta AI in NYC and study foundational topics in machine learning and optimization , recently involving reinforcement learning, control, optimal transport, and geometry. My research is on learning systems that understand and interact with our world and focuses on integrating structural information and domain knowledge into these systems to represent non-trivial reasoning operations. A key theme of my work in this space involves the use

Thesis: Differentiable Optimization-Based Modeling for Machine Learning Advisor: J. Zico Kolter

Research Assistant , Carnegie Mellon University (with J. Zico Kolter on ML and optimization)

Links to bamos.github.io (12)

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• hubert0527.github.io Chieh Hubert Lin
• frontiers4lcd.github.io New Frontiers in Learning, Control, and Dynamical Systems
• helibenhamu.github.io Heli Ben-Hamu | Homepage
• dishank-b.github.io Dishank Bansal
• otmlworkshop.github.io Optimal Transport and Machine Learning 2023
• sanaelotfi.github.io Sanae Lotfi
• leix28.github.io About Me
• phillipkwang.com Phillip Wang
• gjchen.me Guojin Chen
• mhr.ai Matthew Retchin
• dekura.github.io Guojin Chen