Seminars, workshops & more

Events

Upcoming Events

Speakers for the next academic semester will be announced soon.

Past Events

Summer 2026

Jul 31 Sarah Jobalia · Stanford University HairFlow: A Framework for Creating, Editing, and Inferencing Diverse and Feature-Rich Hair Strands Vision Seminar Jun 15 Vivan Amin · Microsoft Research From Labs to Last Mile: Bridging Physical AI Research and Real-World Deployment Vision Seminar

Spring 2026

May 22 Phillip Isola · MIT Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights Vision Seminar May 15 Francis Bach · INRIA, École Normale Supérieure Recent Advances in Uncertainty Quantification: Anytime Guarantees and Multivariate Predictions ML Seminar Apr 17 Danqi Chen · Princeton University From Needle-in-a-Haystack to Long-Horizon Agents: A Retrospective on Long-Context Language Models ML Seminar Apr 10 Greg Durrett · NYU Courant LLM Reasoning Beyond Scaling ML Seminar Mar 27 Eric Wong · University of Pennsylvania A Mechanistic Theory of Safety: How Jailbreaking 1-Layer Transformers Taught us how to Steer LLMs ML Seminar Mar 19 Shenlong Wang · University of Illinois Urbana-Champaign May the Force Be with Your Pixels Vision Seminar Feb 20 Tom Goldstein · University of Maryland Alternative Test-Time Compute Scaling Strategies for Generative Models ML Seminar Feb 06 Abe Davis · Cornell University Lawless Progress on Wicked Problems: Blending Technical Innovation & Interdisciplinary Design to Explore New Opportunities in the Age of AI Vision Seminar Feb 06 Lerrel Pinto · NYU Courant Robot Data is Not Enough Data ML Seminar

Fall 2025

Dec 12 Jason Weston · Facebook, NYU Self-Improvement of LLMs ML Seminar Nov 21 Andrej Risteski · Carnegie Mellon University Architectural Choices in Scientific ML: A View Through the Lens of Theory ML Seminar Nov 19 Berthy Feng · MIT Taming Priors for Scientific Computational Imaging Vision Seminar Nov 13 Aaron Hertzmann · Adobe Why Do Pictures Work? Explanations From Real-World Vision Vision Seminar Nov 07 Florentin Guth · NYU and Flatiron Institute Learning Normalized Probability Models with Dual Score Matching ML Seminar Oct 24 Furong Huang · University of Maryland Rethinking Test-Time Thinking: From Token-Level Rewards to Robust Generative Agents ML Seminar Oct 17 Volodymyr Kuleshov · Cornell Tech and Cornell University Discrete Diffusion Language Models ML Seminar Oct 16 Anat Levin · Department of Electrical and Computer Engineering, Technion Seeing Deep Inside Scattering Tissue Using Efficient, Noise-Robust Wavefront Shaping Vision Seminar Oct 14 Michal Irani · Weizmann Institute of Science Reading Minds & Machines Vision Seminar Oct 03 Jingfeng Wu · UC Berkeley Gradient Descent Dominates Ridge: A Statistical View on Implicit Regularization ML Seminar

Summer 2025

Jun 04 Lior Yariv · Weizmann Institute Learning Signed Distance Representations for 3D Modeling Vision Seminar