Fall 2022 Hybrid-Seminar Series Special joint seminar on Tuesday October 18th at 12:00 Noon Towne 225 / Raisler Lounge For Zoom link, please contact <manu@seas.upenn.edu
Deep Learning has recently made significant progress in learning challenges such as speech and image recognition, automatic translation, and text generation, much of that progress being fueled by the success of gradient descent-based optimization methods in computing local optima of non-convex objectives. From robustifying machine learning models against adversarial attacks to causal inference, training generative models, multi-robot interactions, […]
ABSTRACT: Machine learning systems, in virtually every deployed system, encounter data from a qualitatively different distribution than what they were trained upon. Effectively dealing with this problem, known as domain shift, is thus perhaps the key challenge in deploying machine learning methods in practice. In this talk, I will motivate some of these challenges in […]
This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom. ABSTRACT In computer vision and robotics, we often need to deal with 3D objects. For instance, we may want to generate instances of 3D chairs, edit the generated chairs using natural language instructions, or arrange them in a canonical […]
In many classification tasks, the ground truth is either noisy or subjective. Examples of noisy ground truth include: does this radiology image show a cancerous growth? does this radar data portend an imminent tornado? Examples of subjective ground truth include: which of two alternative paper titles is better? is this comment toxic? what is the […]
Curvature is the common driving force for grain boundary motion in all polycrystals. However, models and simulations derived from curvature-based motion cannot predict irregular, albeit commonly observed, grain growth behavior. To build better predictive models, we need to employ new tools to understand what governs grain growth. First, I will demonstrate how high energy x-ray […]
This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom. ABSTRACT With a growing population to feed, a heightened awareness of the environmental impact of agriculture, and continued challenges of labor availability, the need is greater than ever for advanced technologies applied to automation and autonomy in agriculture. […]
ABSTRACT: Uncrewed aerial vehicles (UAVs), or drones, are increasingly being used to deliver goods from vendors to customers. To safely conduct these operations at scale, drones are required to broadcast position information as codified in remote identification (remote ID) regulations. However, location broadcast of package delivery drones introduces a privacy risk for customers using these […]
Abstract: Flow-induced noise is a significant problem for air, road and marine vehicles as well as many other engineering applications. At low Mach numbers, large disparities in energy levels and length scales between the flow and the concomitant sound present unique challenges for acoustic predictions. This talk will start with a brief overview of computational […]
Fall 2022 Hybrid-Seminar Series Mondays 1.00-2.00 pm (EST) Towne 225 / Raisler Lounge For Zoom link, please contact <manu@seas.upenn.edu
