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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 […]

ASSET Seminar: “Reasoning Myths about Language Models: What is Next?” (Dan Roth, University of Pennsylvania)

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

ABSTRACT:  The rapid progress made over the last few years in generating linguistically coherent natural language has blurred, in the mind of many, the difference between natural language generation, understanding, and the ability to reason with respect to the world. Nevertheless, robust support of high-level decisions that depend on natural language understanding, and one that […]

ASSET Seminar: “Statistical Methods for Trustworthy Language Modeling” (Tatsu Hashimoto, Stanford University)

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

ABSTRACT: Language models work well, but they are far from trustworthy. Major open questions remain on high-stakes issues such as detecting benchmark contamination, identifying LM-generated text, and reliably generating factually correct outputs. Addressing these challenges will require us to build more precise, reliable algorithms and evaluations that provide guarantees that we can trust. Despite the […]