Brandon Amos
@bdamos.bsky.social
🧙🏻♀️ scientist at Meta NYC | http://bamos.github.io
My new paper "Deep Learning is Not So Mysterious or Different": arxiv.org/abs/2503.02113. Generalization behaviours in deep learning can be intuitively understood through a notion of soft inductive biases, and formally characterized with countable hypothesis bounds! 1/12
Looking for a principled evaluation method for ranking of *general* agents or models, i.e. that get evaluated across a myriad of different tasks? I’m delighted to tell you about our new paper, Soft Condorcet Optimization (SCO) for Ranking of General Agents, to be presented at AAMAS 2025! 🧵 1/N
We've built a simulated driving agent that we trained on 1.6 billion km of driving with no human data. It is SOTA on every planning benchmark we tried. In self-play, it goes 20 years between collisions.
Brandon is a wonderful research colleague and I could not endorse enough trying to work with Brandon
Brandon Amos@bdamos.bsky.social · 2y ago📢 My team at Meta (including Yaron Lipman and Ricky Chen) is hiring a postdoctoral researcher to help us build the next generation of flow, transport, and diffusion models! Please apply here and message me: www.metacareers.com/jobs/1459691...
Highly recommended! I worked with Brandon, Yaron, and Ricky. Very smart, fun, and friendly crew thinking deeply about probabilistic machine learning.
Brandon Amos@bdamos.bsky.social · 2y ago📢 My team at Meta (including Yaron Lipman and Ricky Chen) is hiring a postdoctoral researcher to help us build the next generation of flow, transport, and diffusion models! Please apply here and message me: www.metacareers.com/jobs/1459691...
📢 My team at Meta (including Yaron Lipman and Ricky Chen) is hiring a postdoctoral researcher to help us build the next generation of flow, transport, and diffusion models! Please apply here and message me: www.metacareers.com/jobs/1459691...
Postdoctoral Researcher, Fundamental AI Research (PhD)
Meta's mission is to build the future of human connection and the technology that makes it possible.
metacareers.com
🤔 How to extract knowledge from LLMs to train better RL agents? 📚 Our new paper (w. Q. Zheng, @mikaelhenaff.bsky.social, A. Zhang, A. Grover) studies LLM-driven feedback for NetHack! Paper: arxiv.org/abs/2410.23022 Code: github.com/facebookrese...
📢 My team at Meta is hiring visiting PhD students from CMU, UW, Berkeley, and NYU! We study core ML, optimization, amortization, transport, flows, and control for modeling and interacting with complex systems. Please apply here and message me: www.metacareers.com/jobs/3950223...
Visiting Researcher, AI Mentorship Program (PhD)
Meta's mission is to build the future of human connection and the technology that makes it possible.
metacareers.com
Here's my take on an LLM intro for our ML course at Cornell Tech (with V. Kuleshov). It starts with the foundations then goes through code to use pretrained models for 1) generation, 2) chat, and 3) code infilling. pdf: drive.google.com/file/d/1CTGo... ipynb: github.com/kuleshov/cor...
I just added an icon to mine with this: github.com/bamos/bamos....
add bsky icon · bamos/bamos.github.io@3e5679a
github.com