Reposted by Brandon AmosAndrew Gordon Wilson @andrewgwils.bsky.social · 05/03/2025My 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 620851
Reposted by Brandon AmosMarc Lanctot @sharky6000.bsky.social · 24/02/2025Looking 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 16517
Reposted by Brandon AmosEugene Vinitsky 🍒 @eugenevinitsky.bsky.social · 06/02/2025We'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. 2229855
Reposted by Brandon AmosEugene Vinitsky 🍒 @eugenevinitsky.bsky.social · 07/01/2025Brandon is a wonderful research colleague and I could not endorse enough trying to work with Brandon 1133
Reposted by Brandon AmosKyle Cranmer @kylecranmer.bsky.social · 07/01/2025Highly recommended! I worked with Brandon, Yaron, and Ricky. Very smart, fun, and friendly crew thinking deeply about probabilistic machine learning. 0101
Brandon Amos @bdamos.bsky.social · 06/01/2025📢 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...metacareers.comPostdoctoral Researcher, Fundamental AI Research (PhD)Meta's mission is to build the future of human connection and the technology that makes it possible. 15312
Brandon Amos @bdamos.bsky.social · 19/12/2024🤔 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... 081
Brandon Amos @bdamos.bsky.social · 19/12/2024📢 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...metacareers.comVisiting Researcher, AI Mentorship Program (PhD)Meta's mission is to build the future of human connection and the technology that makes it possible. 2133
Brandon Amos @bdamos.bsky.social · 09/12/2024Here'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... 1322
Reposted by Brandon AmosBrandon Amos @bdamos.bsky.social · 05/12/2024I just added an icon to mine with this: github.com/bamos/bamos....github.comadd bsky icon · bamos/bamos.github.io@3e5679a 1112
Brandon Amos @bdamos.bsky.social · 05/12/2024hi everyone!! let's try this optimal transport again 🙃 232931