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: Yuanqi Du, Scientific Knowledge Emerges in LLMs and You Can Extract It
Yuanqi Du is a PhD candidate in Computer Science at Cornell University, where he studies the intersection of AI and scientific discovery.
Machine Learning and Friends Lunch: Dana Arad, Sparse Autoencoders for Content Control
Machine Learning and Friends Lunch featuring Dana Arad, a CS PhD candidate at the Technion.
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: David Held, Relational Learning for Robot Manipulation
David Held is an Associate Professor at Carnegie Mellon University in the Robotics Institute and is the director of the RPAD lab: Robots Perceiving And Doing.
Machine Learning and Friends Lunch: Karin de Langis, Artificial Cognition in LLMs
Karin de Langis, PhD candidate at University of Minnesota, studies artificial cognition in LLMs, explaining failures and comparing cognitive control vs humans.
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.
Machine Learning and Friends Lunch: Sherry Wu, Making AI Systems Work for Imperfect Humans
Machine Learning and Friends Lunch featuring Sherry Wu, assistant professor at the Human-Computer Interaction
Institute at Carnegie Mellon University.