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...
- April2512:15 - 1:15pm
IFML Seminar
Event DetailsAbstract : In the literature on benign overfitting in linear models, also referred to as minimum norm interpolation, it is...
Past Events
- April20throughApril22
Workshop
Event DetailsThis workshop aims to bring together researchers with different backgrounds in computer science, machine learning, statistics and math who are...
- April1310 am - 4 pmEvent Details
The Machine Learning Laboratory Research Symposium will showcase the latest cutting-edge work from our students and faculty. We'll have an...
- April134 - 5 pmEvent Details
AI Safety Abstract: Thoughts about AI safety, shaped by a year's leave at OpenAI to work on the intersection of...
- April1212 - 1 pmEvent Details
Abstract Machine learning approaches to medical image reconstruction are of considerable recent interest, especially supervised approaches that use a corpus…
- April712:15 - 1 pm
IFML Seminar
Event DetailsAbstract: Machine learning systems are built using large troves of training data that may contain private or copyrighted content. In...
- March3112:15 - 1 pm
IFML Seminar
Event DetailsAbstract: Unsupervised learning with functional data is an emerging paradigm of machine learning research with applications to computer vision, climate...
