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
- March2812:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: In this talk, we first discuss a new one-shot lower bound on the Bayes error in simple binary hypothesis...
- March1412:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Diffusion-based generative models transform random noise into images; their inversion aims to transform images back to structured noise that...
-
IFML Seminar
Event DetailsAbstract: I will present a polynomial time algorithm to recover planted cliques in the semi random models introduced by Feige...
- March712:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: In the first part of this presentation, I'll present a non-asymptotic bound for the spectral norm of a Gaussian...
- March4throughMarch6
Public Lecture
Event DetailsJoin us for the 2025 AI + Robotics Research Symposium -- three days of talks, panels, presentations, and networking opportunities...
- February2812:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Learning representations that generalize across diverse downstream tasks is a fundamental challenge in machine learning. Contrastive learning, self…
