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 […]
ASSET Seminar: “When Is a Conformal Set, a Conformal Set?”
The two most popular vehicles for communicating uncertainty in the estimates of an unknown quantity are confidence sets and conformal sets. The set produced and its corresponding probability guarantee (conditional […]
ASSET Seminar: “Unpacking the Unintended Consequences of AI in Education”
The rapid integration of AI into educational settings presents opportunities and challenges—this talk will discuss findings from three large-scale field studies investigating the impact of AI on student learning. First, […]
FOLDS seminar: Function Space Perspectives on Neural Networks
Zoom link: https://upenn.zoom.us/j/98220304722 This talk reviews a theory of the functions learned by neural networks with Rectified Linear Unit (ReLU) activations. At its core is the observation that deep ReLU […]
FOLDS seminar: Learning in Strategic Queuing
Zoom link: https://upenn.zoom.us/j/98220304722 Over the last two decades we have developed good understanding how to quantify the impact of strategic user behavior on outcomes in many games (including traffic routing […]