Machine Learning and Friends Lunch
Machine Learning and Friends Lunch: Wei-Chiu Ma, Towards Physically-Grounded Digital Twins and Beyond
Machine Learning and Friends Lunch featuring Wei-Chiu Ma, an Assistant Professor of Computer Science at Cornell
University.
Machine Learning and Friends Lunch: Aaron Mueller, Time- and Context-Aware Interpretability
Aaron Mueller is an assistant professor of Computer Science and, by courtesy,
of Data Science at Boston University.
Machine Learning and Friends Lunch: Andrew Wu, Marabou 2.0: A Versatile Formal Analyzer of Neural Networks
Join Andrew Wu for a presentation on version 2.0 of Marabou, a toolkit for formally verifying user-defined properties on deep neural networks.
Machine Learning and Friends Lunch: Michael Boratko, Representational Capacity of Vector Embeddings for Retrieval
Machine Learning and Friends Lunch featuring Michael Boratko, a research scientist at Google DeepMind.
Machine Learning and Friends Lunch: David Burt, Consistent Validation for Predictive Methods in Spatial Settings
David Burt is a postdoc in Professor Tamara Broderick’s group at the MIT
Laboratory For Information and Decision Systems.
Machine Learning and Friends Lunch: Chen Sun, Grounding Deep Generative Models in the Physical World
Machine Learning and Friends Lunch
Machine Learning and Friends Lunch: Sherry Yang, Learning World Models and Agents for High-Cost Environments
Machine Learning and Friends Lunch featuring Sherry Yang, Assistant Professor of Computer Science at NYU Courant and
a scientist at Google DeepMind.
Machine Learning and Friends Lunch: Ryan Louie, Adapting LLMs to Upskill Novices for High-Stakes Domains
Ryan Louie is a postdoctoral researcher in the Computer Science Department at Stanford University.