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ASSET Seminar: “Algorithmic Stability for Trustworthy Machine Learning and Statistics”

Amy Gutmann Hall, Room 414 3333 Chestnut Street, Philadelphia, United States

Abstract: Data-driven systems hold immense potential to positively impact society, but their reliability remains a challenge. Their outputs are often too brittle to changes in their training data, leaving them vulnerable to data poisoning attacks, prone to leaking sensitive information, or susceptible to overfitting. Establishing fundamental principles for designing algorithms that are both stable—to mitigate these […]

IDEAS/STAT Optimization Seminar: “Statistics-Powered ML: Building Trust and Robustness in Black-Box Predictions”

Amy Gutmann Hall, Room 414 3333 Chestnut Street, Philadelphia, United States

Zoom link: https://upenn.zoom.us/j/98220304722 Abstract: Modern ML models produce valuable predictions across various applications, influencing people’s lives, opportunities, and scientific advancements. However, these systems can fail in unexpected ways, generating unreliable inferences and perpetuating biases present in the data. These issues are particularly troubling in high-stakes applications, where models are trained on increasingly diverse, incomplete, and […]

CIS Seminar: “AI for Materials Discovery: Graphs, Language Models, and Agents”

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

Artificial intelligence (AI) is transforming scientific discovery, particularly in materials science, by accelerating the prediction and design of materials with desired properties. Traditional physics-based modeling of atomic systems is computationally prohibitive for large-scale problems, and AI addresses this challenge by learning the underlying physics from data, thereby accelerating discoveries. In this talk I will present […]

CIS Seminar presents: ” Cyber-Physical Security Through the Lens of AI-Enabled Systems

Amy Gutmann Hall, Room 414 3333 Chestnut Street, Philadelphia, United States

Cyber-physical systems (CPS), powered by emerging artificial intelligence (AI) technologies, have become integral to various critical domains such as the Internet of Things (IoTs), medical devices, and autonomous vehicles. A unique aspect of these systems lies in their interactions with the physical world, by perceiving environments through heterogeneous modalities (perception), processing digital data with intelligence […]

ASSET Seminar: “Controlling Language Models”

Amy Gutmann Hall, Room 414 3333 Chestnut Street, Philadelphia, United States

Abstract: Controlling language models is key to unlocking their full potential and making them useful for downstream tasks. Successfully deploying these models often requires both task-specific customization and rigorous auditing of their behavior. In this talk, I will begin by introducing a customization method called Prefix-Tuning, which adapts language models by updating only 0.1% of […]

IDEAS/STAT Optimization Seminar: “The Size of Teachers as a Measure of Data Complexity: PAC-Bayes Excess Risk Bounds and Scaling Laws”

Amy Gutmann Hall, Room 414 3333 Chestnut Street, Philadelphia, United States

Zoom link: https://upenn.zoom.us/j/98220304722 Abstract: We study the generalization properties of neural networks through the lens of data complexity.  Recent work by Buzaglo et al. (2024) shows that random (nearly) interpolating networks generalize, provided there is a small ``teacher'' network that achieves small excess risk. We give a short single-sample PAC-Bayes proof of this result and […]

CIS Seminar: “Unlocking Scalable Robot Learning in the Real World”

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

Many domains of machine learning, from language modeling to computer vision, have recently undergone a shift towards generalist models, whose broad generalization abilities are fueled by large and diverse real-world training datasets and high-capacity model architectures. In robotics, however, it has been challenging to apply the same recipe: after all, we cannot easily scrape millions […]

CIS Seminar: “Learning to Perceive the 4D World”

Amy Gutmann Hall, Room 414 3333 Chestnut Street, Philadelphia, United States

Perceiving the 4D world (i.e., 3D space over time) from visual input is essential for human interaction with the physical environment. While computer vision has made remarkable progress in 3D scene understanding, much of it remains piecemeal—for example, focusing solely on static scenes or specific categories of dynamic objects. How can we model diverse dynamic […]

CIS Seminar: “Pareto-efficient AI systems: Expanding the quality and efficiency frontier of AI”

Amy Gutmann Hall, Room 414 3333 Chestnut Street, Philadelphia, United States

We have made exciting progress in AI by massive models on massive amounts of data center compute. However, the demands for AI are rapidly expanding. I identify how to maximize performance under any compute constraint, expanding the Pareto frontier of AI capabilities.   This talk builds up to an efficient language model architecture that expands […]

Celebration of Community

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

The Cora Ingrum Center for Community and Outreach is planning its annual Celebration of Community gala to showcase Penn Engineering students, staff, and faculty in their multi-talented richness. The event will consist of guest speakers, performances, presentations from student groups, and a variety of cuisines. Do not hesitate to contact Dr. Ocek Eke (ocek@seas.upenn.edu) and […]