
IFML Seminar
IFML Seminar: 10/03/25 - Successor Measures and Self-supervised Reinforcement Learning
Abstract: We introduce a method for learning behavioral foundation models using the successor measure. We show that any visitation distribution can be represented using an affine combination of policy-independent basis functions. By learning these...
Upcoming Events
- October312:15 - 1:15pm
IFML Seminar
Abstract: We introduce a method for learning behavioral foundation models using the successor measure. We show that any visitation distribution...
- October1012:15 - 1:15pm
IFML Seminar
ABSTRACT: What would it mean for AI to understand skilled human activity? In augmented reality (AR), a person wearing smart...
- October2412:15 - 1:15pm
IFML Seminar
Abstract: Learning from sequential, temporally-correlated data is a core facet of modern machine learning and statistical modeling. Yet our fundamental...
Past Events
- September1612 - 1 pm
IFML Seminar
Title: A Data-Centric View on Reliable Generalization Abstract: Researchers have proposed many methods to make neural networks more reliable under...
- September912 - 1 pm
- July2212 - 1 pm
IFML Seminar
Watch the replay here. Abstract: While many robots are currently deployable in factories, warehouses, and homes, their autonomous deployment requires...
- April2912 - 1 pm
Abstract: Thanks to neural networks (NNs), faster computation, and massive datasets, machine learning (ML) is under increasing pressure to provide...
- April2210 am - 4 pm
Join the Machine Learning Lab on campus and in person for its inaugural research symposium on Friday, April 22.
- April812 - 1 pm
Use-Inspired Research Seminar
Please join us for an IFML Seminar with Boris Hanin, Assistant Professor of Operations Research and Financial Engineering (ORFE) at...