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    • CIS Seminar: “Equilibrium Complexity and Deep Learning”

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    Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

    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, […]

    ASSET Seminar: New approaches to detecting and adapting to domain shifts in machine learning, Zico Kolter, Ph.D. (Carnegie Mellon University)

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    Levine 307 3330 Walnut Street, Philadelphia, PA, United States

    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 […]

    Fall 2022 GRASP SFI: Srinath Sridhar, Brown University, “Learning to Generate, Edit, and Arrange 3D Shapes”

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    Levine 307 3330 Walnut Street, Philadelphia, PA, United States

    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 […]

    CIS Seminar: “Rater Equivalence: An Interpretable Measure of Classifier Accuracy Against Human Labels”

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    Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

    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 […]

    MSE Seminar: “What Governs Grain Boundary Migration?”

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    Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

    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 […]

    Fall 2022 GRASP on Robotics: Jim Ostrowski, Blue River Technology, “Robotics and Deep Learning in Production Agriculture”

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    Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

    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.  […]

    PRECISE Center/xLab presents: Routing with Privacy for drone package delivery systems, Max Z. Li, Ph.D. (University of Michigan)

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    Levine Hall 279 3330 Walnut Street, Philadelphia, PA, United States

    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 […]

    PICS Colloquium: “Computation of Flow-Induced Sound at Low Mach Numbers”

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    PICS Conference Room 534 - A Wing , 5th Floor 3401 Walnut Street, Philadelphia, PA, United States

    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 […]

    PSOC Seminar: Jamal S. Lewis, University of Florida

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    Raisler Lounge (Room 225), Towne Building 220 South 33rd Street, Philadelphia, PA, United States

    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

    MEAM Seminar: “Predicting and Reducing High-Speed Jet Noise”

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    Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

    The intense noise radiated by supersonic jets leads to sound-induced structural vibration, fatigue and personnel-related operational difficulties. Experimental, theoretical, and computational investigations into the physics and control of jet noise have identified several important sound sources, including wavepackets, screech, Mach wave radiation, and broadband shock associated noise. Reducing the loudest sources of jet noise, without […]

    CIS Seminar: “The Long Arm of Theoretical Computer Science: A Case Study in Blockchains/Web3”

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    Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

    Blockchains that support a general contract layer (e.g., Ethereum) export the functionality of a general-purpose, ownerless, and open-access computer that can enforce property rights for digital data.  How is such functionality implemented?  Using a lot of extremely cool computer science ideas! And like everywhere else in computer science, theory plays an undeniable role in the […]

    ASSET Seminar: How to Design Molecules that Dock Well but Can’t Exist, Jacob Gardner, Ph.D.

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    Levine 307 3330 Walnut Street, Philadelphia, PA, United States

    ABSTRACT:BIO Machine learning has become an indispensable aid to researchers developing the next generation of novel therapeutics. In this talk, I will discuss how some of the most important problems  in virtual screening for new potential drug molecules can be cast as black-box optimization problems, where the goal is to find molecules maximizing some desired property […]