IFML Seminar
IFML Seminar: 04/04/25 - Robust Autonomy Emerges from Self-Play
Abstract: Self-play has powered breakthroughs in two-player and multiplayer games. In this talk, I show that self-play is a surprisingly effective strategy in another domain: robust and naturalistic driving emerges entirely from self-play in...
Upcoming Events
- April412:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Self-play has powered breakthroughs in two-player and multiplayer games. In this talk, I show that self-play is a surprisingly...
- April1112:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: The widespread deployment of AI systems in critical domains demands more rigorous approaches to evaluating their capabilities and safety...
- April1812:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Ill-posed inverse problems appear in many critical scientific imaging scenarios where the goal is to reconstruct cleaner images faster...
Past Events
- October612:15 - 1 pm
IFML Seminar
Event DetailsAbstract: During this presentation, I will delve into an innovative class of optimization problems called finite-sum coupled compositional optimization (FCCO…
- September2912:15 - 1 pm
IFML Seminar
Event DetailsAbstract: Datasets used in machine learning and statistics are huge and often imperfect, e.g., they contain corrupted data, examples with...
- September2212:15 - 1 pm
IFML Seminar
Event DetailsAbstract: Graph neural networks (GNNs) are successful at learning representations from most types of network data but suffer from limitations...
- September1512:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Whittle index policy is a powerful tool to obtain asymptotically optimal solutions for the notoriously intractable problem of restless...
- April2812:15 - 1 pm
IFML Seminar
Event DetailsWe discuss the problem of positive-semidefinite extension: extending a partially specified covariance kernel from a subdomain Ω of a rectangular...
-
Event Details
Abstract: We demonstrate the power of combining the forward image acquisition model with deep learning solutions for inverse MRI problems...
