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ASSET Seminar: “Bridging the Gap Between Deep Learning Theory and Practice” (Micah Goldblum, New York University)

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

ABSTRACT:  Despite the widespread proliferation of neural networks, the mechanisms through which they operate so successfully are not well understood.  In this talk, we will first explore empirical and theoretical investigations into neural network training and generalization and what they can tell us about why deep learning works.  Then, we will examine a recent line […]

Rigorous and Glamorous in 100 Words or Less: An Abstract Workshop

rsvp for zoom link

It’s hard to write an abstract. It’s harder to write a glamorous one that tells your story without overselling your results. Community for Rigor is here to help! Join Professor Konrad Kording for a rigorous abstract writing workshop on March 20th, 2024. Together, let’s lovingly glam up abstracts from the Community and make the most of 100 […]

CIS Seminar: “Building Planetary-Scale Collaborative Intelligence”

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

Today, access to high-quality data has become the key bottleneck to deploying Machine Learning (ML). Often, data that is most valuable is locked away in inaccessible silos due to unfavorable incentives and ethical-legal restrictions. This is starkly evident in healthcare, where such barriers have led to highly biased and underperforming tools. In my talk, we will […]

CIS Seminar: ” Empowering Large Language Models with Efficient and Automated Systems”

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

Large Language Models (LLMs) have brought remarkable advancements to the computing industry. However, a high barrier exists between the LLMs and the vast majority of researchers and practitioners, brought by the engineering challenges with the enormous model sizes and the substantial compute requirements. In this talk, I’ll discuss my research on system innovations to democratize […]

CIs Seminar: “Privacy-Preserving Systems for a Data-Driven World”

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

The potential of data to transform science and society has spurred unparalleled efforts to collect it in increasingly sensitive and granular forms, which has raised a variety of societal concerns about how this data is handled and used. Though today, at-rest and in-transit encryption are standard practices, these alone are insufficient to address the security […]

2024 Celebration of Diversity

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

The Office of Diversity, Equity & Inclusion is hosting another Celebration of Diversity gala. The gathering is intended to showcase students, staff, and faculty from Penn Engineering in their cultural richness and heterogeneity. The event will consist of guest speakers, special performances, presentations from student affinity groups, and a variety of cuisines for all to […]

CIS/IDEAS Seminar: “Flow matching and optimal transport with applications to cell trajectories and protein design”

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

ABSTRACT: Flow matching models learn a (possibly stochastic) mapping between source and target distributions. Common paradigms include diffusion models, score matching models, and continuous normalizing flows. In this talk I will first present methods for improved training of flow matching models using ideas from optimal transport. I will then show how these improved methods can […]

ASSET Seminar: “Building a Foundation for Trustworthy Machine Learning” (Elan Rosenfeld, Carnegie Mellon University)

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

ABSTRACT: Artificial Intelligence is being increasingly relied on in safety-critical domains. But the predictive models underlying these systems are notoriously brittle, and trustworthy deployment remains a significant challenge. In this talk, I give an overview of my work towards a rigorous foundation for robust machine learning (ML). Using a case study of invariant prediction, we […]

ASSET Seminar: “What Should We “Trust” in Trustworthy Machine Learning?” (Aaron Roth, University of Pennsylvania)

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

ABSTRACT: "Trustworthy Machine Learning" has become a buzz-word in recent years. But what exactly are the semantics of the promise that we are supposed to trust? In this talk we will make a proposal, through the lens of downstream decision makers using machine learning predictions of payoff relevant states: Predictions are "Trustworthy" if it is in the interests of the downstream decision […]

Career Steps Before Graduation Seminar

Auditorium, LRSM Building 3231 Walnut Street, Philadelphia, PA, United States

On Friday, April 12,2024, the Department of Materials Science and Engineering is hosting an information session dedicated to equipping you with insights on the essential steps to secure a career after graduation, with staff from UPenn Career Services and ISSS (International Student and Scholar Services) lending their expertise on prevailing job trends and providing guidance […]