IDEAS/STAT Optimization Seminar: “Gradient Equilibrium in Online Learning”

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

We present a new perspective on online learning that we refer to as gradient equilibrium: a sequence of iterates achieves gradient equilibrium if the average of gradients of losses along the sequence converges to zero. In general, this condition is not implied by, nor implies, sublinear regret. It turns out that gradient equilibrium is achievable […]

AI Infrastructure: Foundations for Energy Efficiency and Scalability

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

Click here for more details. The workshop will explore the state of the art in sustainable computing and share recent research at the intersection of technology, economics, and policy. Through invited talks, panel discussions, and breakout sessions, participants will help shape a research agenda for the field. The workshop aims to produce a white paper and publish […]

ASSET Seminar: “Learning Reliable and Robust Generative Intelligence”

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

Abstract: Robust simulation and precise modeling of physical dynamics are essential for advancing perception, planning, and control in the development of generalist physical agents. In this talk, I will present my research on building generative models that combine physical realism with scalability in high-dimensional environments. The presentation delves into both the theoretical foundations and practical […]

IDEAS/STAT Optimization Seminar: Resilient Distributed Optimization for Cyberphysical Systems

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

Zoom link: https://upenn.zoom.us/j/98220304722   Abstract: This talk considers the problem of resilient distributed multi-agent optimization for cyberphysical systems in the presence of malicious or non-cooperative agents. It is assumed that stochastic values of trust between agents are available which allows agents to learn their trustworthy neighbors simultaneously with performing updates to minimize their own local […]

CIS Seminar: “Correctness Matters: Automatic Software Engineering in the age of Generative AI”

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

Software engineers never start from a blank page, but rather from an extant and usually long-running project in need of modification (for repair, extension, update, etc.). One way to view modern programming is thus as a continual process of iteratively transforming existing programs into something new, and hopefully better. In this talk, I will discuss […]

ESE 5160 Special Lecture: “Taking RoboRacer Off-Road: Learning Extreme Off-Road Mobility”

Towne 327

In this guest lecture, we will cover two recent research thrusts from the RobotiXX lab in taking RoboRacer off-road: high-speed off-road navigation and wheeled mobility on vertically challenging terrain. For high-speed off-road navigation, we will introduce a sequential line of work with every work inspired by and built upon its prior work, ranging from inverse […]

ASSET Seminar: “Fake News, Echo Chambers, and Algorithms: A Data Science Perspective”

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

Abstract: American democracy has been undermined by an “infodemic” of fake news, coupled with the widespread segregation of consumers into ideologically homogenous echo chambers by inscrutable algorithms deployed by rapacious social media platforms—or so we are told. In this talk, I will critically examine claims of this sort—made frequently by politicians, journalists, and public intellectuals—summarizing […]

IDEAS/STAT Optimization Seminar: “Negative Stepsizes Make Gradient-Descent-Ascent Converge”

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

Zoom link: https://upenn.zoom.us/j/98220304722 Abstract: Solving min-max problems is a central question in optimization, games, learning, and controls. Arguably the most natural algorithm is Gradient-Descent-Ascent (GDA), however since the 1970s, conventional wisdom has argued that it fails to converge even on simple problems. This failure spurred the extensive literature on modifying GDA with extragradients, optimism, momentum, anchoring, […]

Benjamin Franklin Medal in Electrical Engineering Symposium Honoring Kurt Petersen: “Small Tech, Big Impact: The Development and Commercialization of MEMS Sensors & Actuators”

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

For two centuries, The Franklin Insitute has honored pioneering achievements in science, engineering, and industry. As the oldest comprehensive science awards program in the United States. The Franklin Insitute Awards celebrates Benjamin Franklin's legacy by honoring the Franklins of today. Through their remarkable contributions, our laureates inspire the Franklins of tomorrow. The 2025 Benjamin Franklin […]

ASSET Seminar: “Neurosymbolic Program Synthesis: Bridging Perception and Reasoning in Real-World Applications”

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

Abstract: Neurosymbolic Program Synthesis (NSP) integrates neural networks and symbolic reasoning to tackle complex tasks requiring both perception and logical reasoning. This talk provides an overview of the NSP framework and its applications in domains such as image editing, data extraction, and robot learning from demonstrations. We will delve into the key ideas behind NSP […]