Events

Dr. Romit Maulik, Assistant Professor of Data Science in the College of Information Sciences and Technology at Pennsylvania State University and a Joint Appointment Faculty at the Mathematics and Computer Sciences Division at Argonne National Laboratory, will give a talk entitled Differentiable Physics: A physics-constrained and data-driven paradigm for scientific discovery.

Sylvia Herbert (Mechanical and Aerospace Engineering, UC San Diego) will give a talk entitled Constructing Neural Safety Filters for Autonomous Systems.

Mingrui Liu (Computer Science, George Mason University) will present a talk entitled Beyond Black-Box Analysis: Understanding the Role of Local Updates in Distributed Learning.

Ricky Chen (Meta Fundamental AI Research (FAIR)) will give a talk entitled The Flow Matching Recipe for Generative Modeling: From Continuous to Discrete.

Anabel del Val (AEM, UMN) will give a talk entitled Data-driven stochastic expansions for inverse uncertainty estimation.

Benjamin Nachman (Lawrence Berkeley National Laboratory) will give a talk entitled Phystatistics: The Rise of the Data Physicist.

.

Dr. Alec Koppel (Research Lead at JP Morgan AI Research) will give a talk entitled Information-Directed Sampling with Mixture Families in Reinforcement Learning.

Dr. Burhan Yaman (Bosch Research) will give a talk entitled Representation Alignment for Autonomous Driving.

Zirui (Ray) Liu (CS&E, UMN) will give a talk entitled Breaking Barriers: Advancing Long Context LLMs.

Prof. Liyan Xie (ISyE, UMN) will give a talk entitled Transfer Learning for Diffusion Models.