ABSTRACT: I'll present research on using large language models (LLMs) to build explainable classifiers. I will show off work from my PhD students and collaborators on several recent research […]
This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom. This week's presenter will be in-person as well. ABSTRACT The ability of a system […]
Despite impressive success in domains such as vision and language, machine learning is still far from reliable integration into many challenging real-world scenarios, such as healthcare, where the coverage of […]
Metabolism supports the biosynthetic and energetic demand of all living creatures. Over decades, we have accumulated knowledge of how individual enzymes work in vitro, but we don’t have a good […]
Today’s hardware cannot keep secrets. Indeed, the past two decades have seen the discovery of a slew of attacks where an adversary exploits hardware features to leak software’s sensitive data. These attacks […]
This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom. This week's presenter will be in-person as well. ABSTRACT Intelligent action is […]
Computer simulations have become critical elements of the medical device design and regulatory approval process. Naturally, the predictability and therefore value of such simulations depends highly on their accuracy. Especially […]
Spring 2023 Hybrid-Seminar Series Mondays 1.00-2.00 pm (EST) Towne 225 / Raisler Lounge “For Zoom link, please contact <manu@seas.upenn.edu>”
In the past half-century, partial differential equation (PDE)-based computational models have emerged as indispensable for science and engineering. However, remarkable gaps still exist between state-of-the-art simulations and reality, meaning that […]
Expressive cryptography, including Secure Multi-Party Computation (SMPC) and Fully Homomorphic Encryption (FHE), has the potential to enable transformative new applications, drawing significant interest from industry. Unfortunately, it is often slow […]
Abstract: Machine learning algorithms are increasingly used in conjunction with optimization to guide decision making. A key challenge is aligning the machine learning loss with the decision-making loss. Existing solutions […]
We will discuss methods of data lookup, with a focus on hash sets / tables, including motivation, properties, and variants. This will be in the context of a "CS 2" […]