Stanford seminar on the frontier of machine learning and systems. Live every Thursday, 1:15-3 pm PT.
59:42703 views · 4mo ago · 59:42
Houjun “Jack“ Liu (Stanford NLP Group/SISL) - Jack is a precocious undergraduate in Stanford CS Department, publishing more than most undergrads. He is in two labs, Stanford Intelligent Systems Lab advised by Mykel Kochenderfer and Stanford NLP working with Chris Manning.
1:09:34321 views · 4mo ago · 1:09:34
Michael Ryan (Stanford CS PhD) - Michael is an NLP researcher in Dr. Diyi Yang’s SALT Lab! He is also a core contributor to StanfordNLP/DSPy, the library for programming not prompting LLMs. He’s on the optimizer team for DSPy and co-creator of the DSPy MIPROv2 optimizer.
1:15:171.9K views · 7mo ago · 1:15:17
Dr. Mengye Ren (NYU Assistant Professor) - Dr. Mengye Ren is an assistant professor of computer science and data science at New York University (NYU). He recently published 2 papers that we deep dive into for this podcast Local Reinforcement Learning with Action-Conditioned Root Mean Squared Q-Functions Midway Network: Learning Representations for Recognition and Motion from Latent Dynamics
58:511.1K views · 10mo ago · 58:51
Alex Damian is a Kempner Research Fellow at Harvard University’s Kempner Institute, and will start in Fall 2026 as an Assistant Professor at MIT with a shared appointment between Mathematics and EECS (AI+D). He earned his PhD in Applied & Computational Mathematics at Princeton (advised by Jason D. Lee) and his BS in Mathematics at Duke. His research focuses on mathematical foundations of deep learning, especially optimization dynamics (e.g.
1:19:341.6K views · 10mo ago · 1:19:34
Ian Fischer (CEO Poetiq) - Ian, Shumeet, and the rest of the 6 person Poetiq team just achieved SOTA results on ARC-AGI2 with their Recursive Self-Improvement technique, beating all frontier labs with billions of spend and compute. Before founding Poetiq, Ian was a prolific researcher at Deepmind publishing some of the most influential information theoretic deep learning papers in the community.
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