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Oct 13 Tue
Vision Seminar

Sridhar Lakshmanan · Electrical and Computer Engineering Dept., University of Michigan-Dearborn

Freespace Optical Communications Using Existing Luminaires and Related Applications

Tuesday, October 13, 2026 3:00 PM - 3:45 PM

CSB 480

This talk will explore the use of existing luminaires - flashlights, vehicle headlights and taillights, infrared blackout lights, etc. - to effect wireless point-to-point communications. Current capability is a complete physical layer supporting ~40 kbps data rate in uncontrolled outdoor environments from a line-of-sight distance of 700 ft. The talk will conclude presenting some extensions of this capability to non-line-of-sight scenarios and 100X increase in data rates.

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Past Events

Fall 2026

Oct 08 Roshni Sahoo · Columbia Business School What would it cost to end extreme poverty? Other Oct 06 Alyosha Efros · UC Berkeley Are we (Still!) Not Giving Data Enough Credit? Vision Seminar Oct 06 Haonan Wang · Columbia University Towards Recursive Self-Improvement: Lessons from Self-Evolving Reinforcement Learning ML Seminar Oct 05 Navve Wasserman · Department of Computer Science at the Weizmann Institute of Science Interpreting Visual Representations in the Human Brain Vision Seminar Oct 02 Ishaan Chandratreya and David Charatan · MIT MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Vision Seminar Oct 02 Benjamin Eysenbach · Princeton University Seeing like an Empowered Agent ML Seminar Sep 29 Raphael Shu · OpenAgents OpenAgents: The Next-Gen Collaboration OS for Teams of Humans and Agents Agents Seminar Sep 24 Sharon Levy · Rutgers University Beyond Surface-Level Safety: Uncovering Implicit Biases NLP Seminar Sep 24 Lily Xu · Columbia University Selective interventions for information acquisition: Incentives and audits for biodiversity Agents Seminar Sep 21 Tomoki Ichikawa · Kyoto University Modeling and Designing Polarization for Visual Sensing Vision Seminar Sep 18 Yoav Artzi · Cornell University Sparks of New Pre-Training ML Seminar

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