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    • CIS Seminar: “Rethinking Data Use in Large Language Models”

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

    Large language models (LMs) such as ChatGPT have revolutionized natural language processing and artificial intelligence more broadly. In this talk, I will discuss my research on understanding and advancing these models, centered around how they use the very large text corpora they are trained on. First, I will describe our efforts to understand how these […]

    Women in Data Science @ Penn

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    Jon M. Huntsman Hall 3730 Walnut Street, Philadelphia, PA, United States

    The Wharton School and Penn Engineering are proud to host the fifth annual Women in Data Science (WiDS) @ Penn Conference on February 8-9, 2024, on the University of Pennsylvania’s campus. A celebrated interdisciplinary event, WiDS @ Penn welcomes academic, industry, and student speakers from across the data science landscape to celebrate its diversity, both […]

    Spring 2024 GRASP on Robotics: Qixing Huang, University of Texas at Austin, “Geometric Regularizations for 3D Shape Generation”

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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 on Zoom. ABSTRACT Generative models, which map a latent parameter space to instances in an ambient space, enjoy various applications in 3D Vision and related domains. A standard scheme of these models is probabilistic, which aligns the induced ambient distribution […]

    PICS Colloquium: “Wall-models of turbulent flows via scientific multi-agent reinforcement learning”

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

    The predictive capabilities of turbulent flow simulations, critical for aerodynamic design and weather prediction, hinge on the choice of turbulence models. The abundance of data from experiments and simulations and the advent of machine learning have provided a boost to turbulence modeling efforts. However, simulations of turbulent flows remain hindered by the inability of heuristics […]

    ESE Spring Seminar – “Physics-inspired Machine Learning”

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    Glandt Forum, Singh Center for Nanotechnology 3205 Walnut Street, Philadelphia, PA, United States

    Combining physics with machine learning is a rapidly growing field of research. Thereby, most work focuses on leveraging machine learning methods to solve problems in physics. Here, however, we focus on the converse, i.e., physics-inspired machine learning, which can be described as incorporating structure from physical systems into machine learning methods to obtain models with […]

    BE Doctoral Dissertation Defense: “Computational imaging and multiomic biomarkers for precision medicine: characterizing heterogeneity in lung cancer” (Apurva Singh)

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    Class of 62 Auditorium, John Morgan Building 3620 Hamilton Walk, Philadelphia, PA

    The Department of Bioengineering at the University of Pennsylvania and Dr. Despina Kontos are pleased to announce the Doctoral Dissertation Defense of Apurva Singh. Title:  "Computational imaging and multiomic biomarkers for precision medicine: characterizing heterogeneity in lung cancer" Date: February 12, 2024 Time: 1:00 PM Location:  John Morgan Building, Class of 62 auditorium Zoom link The public is […]

    MEAM Seminar: “AI for Antibiotic Discovery”

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

    Computers can be programmed for superhuman pattern recognition of images and text; however, their application in biology and medicine is still in its infancy. In this talk, I will discuss our advances over the past half-decade, which are accelerating discoveries in the crucial and underinvested area of antibiotic discovery. We developed the first antibiotic designed […]

    ESE & CIS Spring Seminar – “Beyond the black box: characterizing and improving how neural networks learn”

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

    The predominant paradigm in deep learning practice treats neural networks as "black boxes". This leads to economic and environmental costs as brute-force scaling remains the performance driver, and to safety issues as robust reasoning and alignment remain challenging. My research opens up the neural network black box with mathematical and statistical analyses of how networks […]

    ASSET Seminar: “Enforcing Right to Explanation: Algorithmic Challenges and Opportunities” (Himabindu Lakkaraju, Harvard University)

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

    ABSTRACT: As predictive and generative models are increasingly being deployed in various high-stakes applications in critical domains including healthcare, law, policy and finance, it becomes important to ensure that relevant stakeholders understand the behaviors and outputs of these models so that they can determine if and when to intervene. To this end, several techniques have […]

    Spring 2024 GRASP SFI: Fei Miao, University of Connecticut, “Learning and Control for Safety, Efficiency, and Resiliency of Embodied AI”

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

    This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. ABSTRACT With rapid evolution of sensing, communication, and computation, integrating learning and control presents significant Embodied AI opportunities. However, current decision-making frameworks lack comprehensive understanding of the tridirectional relationship among communication, learning and control, posing challenges for multi-agent […]

    CBE Seminar: “Systems Engineering for Addressing Critical Challenges in Viral Vector Manufacturing” (Francesco Destro, MIT)

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

    Abstract The demand for viral vectors is poised to soon exceed current production capacities, driven by the surging number of clinical trials for gene and cell therapies. Unfortunately, current manufacturing processes for viral vectors have high costs and low titers. This talk will demonstrate how process systems engineering tools can be leveraged for addressing the […]

    ESE Spring Seminar – “White-Box Computational Imaging: Measurements to Images to Insights”

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

    Computation and machine learning hold tremendous potential to improve the quality and capabilities of imaging methods used across science, medicine, engineering, and art. Despite their impressive performance on benchmark datasets, however, deep learning methods are known to behave unpredictably on some real-world data, which limits their trusted adoption in safety-critical domains. Accordingly, in this talk […]