ASSET Seminar: “Reliable Physical AI for Power Systems: Stability-Constrained Reinforcement Learning and Generative Lyapunov Function Discovery”
Deep reinforcement learning (RL) is a promising tool for control of complex physical systems such as power and energy systems, yet its deployment is often hindered by the lack of […]
CIS Seminar: “Diffusion Generative Models for Non-Euclidean Data”
As a major powerhorse for generative AI, diffusion models have demonstrated great successes in Euclidean spaces, such as for generating images and videos. This talk, on the other hand, will […]
MSE Seminar: “Building Cyberinfrastructure for Advancing Laboratories of the Future”
The development of automated experimental facilities and the growing trend of experimental data digitization brought enormous opportunities for radically advancing laboratories. As many laboratory research tasks involve predicting and understanding […]
CIS Seminar: “Exams with More Learning and Less Stress with a Computer-Based Testing Facility”
Exams are an important tool for summative assessment, whose utility has only grown with the advent of large language models (LLMs) like ChatGPT, because they can be implemented in a […]
FOLDS SEMINAR: The Hidden Width of Deep ResNets
Zoom link: https://upenn.zoom.us/j/6130182858 We present a mathematical framework to analyze the training dynamics of deep ResNets that rigorously captures practical architectures (including Transformers) trained from standard random initializations. Our […]
CIS Seminar: “Exams with More Learning and Less Stress with a Computer-Based Testing Facility”
In this talk, I’ll share (1) research on the benefits of frequent testing and “second-chance testing” (optional exam re-takes) on increased student learning and decreased test anxiety, (2) research on […]
CIS Seminar: “Good Old Fashioned Engineering Can Close the 100,000 Year “Data Gap” in Robotics”
AI is rapidly advancing the way we think, but we live in a material world. We still need to move things, make things, and maintain things. We need AI-driven robots […]
CIS Seminar: “Inverse Problems using Generative Priors”
Inverse problems seek to recover an unknown source signal X for which we have indirect, partial, or noisy measurements Y. Most real-world inverse problems are ill-posed and the conventional line […]
MSE Undergraduate Open House
Materials Science and Engineering Undergraduate Open House Are you a first-year Student? Undecided about your major? Curious about MSE? Join us for food and fun and explore how MSE can […]
ASSET Seminar: “Testing AI’s Implicit World Models”
Many of the robustness properties that are required for real-world applications of AI would be realized by a model that has understood the world. But it is unclear how to […]