Abstract: Large language models (LLMs) power a rapidly-growing and increasingly impactful suite of AI technologies. However, due to their scale and complexity, we lack a fundamental scientific understanding of much […]
This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. ABSTRACT Partial observability is ubiquitous in Reinforcement Learning (RL) applications, where agents must […]
Bio & Abstract: Claire Bedbrook is an engineer and neuroscientist working to extend lifespan by modulating the brain. Claire was trained in chemical engineering at the University of California, Berkeley. […]
Arrays of coupled superconducting qubits are a compelling platform for analog quantum simulations of solid-state matter and many-body physics. These devices natively emulate the Bose-Hubbard model while offering a high […]
As learning algorithms become increasingly capable of acting autonomously, it is important to better understand the behavior that results from their interactions. For example, a pervasive challenge in multi-agent learning […]
In this talk, I will explain how fundamental problems in computational learning theory are at the heart of modern problems in machine learning and scientific applications and how algorithmic insights […]
This will be a hybrid event with in-person attendance in Wu and Chen and virtual attendance on Zoom. This seminar will NOT be recorded. ABSTRACT State of the art prediction […]
Understanding the dynamic behavior of complex biomolecules requires simplified models that not only make computations feasible but also reveal fundamental mechanisms. Coarse-graining (CG) achieves this by grouping atoms into beads, […]
Robotic systems, particularly at small scales, require efficient actuation and sensing solutions that maintain compactness. We are interested in systems where sensing and actuation are seamlessly integrated, specifically using impedance-related […]
This will be an in-person event only with attendance in Levine 307. This seminar will NOT be recorded. ABSTRACT Autonomous AI agents are deployed in increasingly complex and uncertain environments […]
Accurate simulations of physical phenomena governed by partial differential equations (PDEs) are foundational to scientific computing. While traditional numerical methods have proven effective, they remain computationally intensive, particularly for complex, […]
This will be a hybrid event with in-person attendance in Levine 512 and virtual attendance on Zoom. ABSTRACT Our group's goal is to build a world simulator from visual observations […]