2024 Events

Dr. Christian Kümmerle University of North Carolina Monday, January 13, 2025 11:00AM – 12:00PM MSB 318 | Zoom Abstract For a machine learning model’s ability to generalize well to unseen data, it has been understood that it needs to be able to capture a hidden, low-dimensional data distribution in the high-dimensional feature space. In this […]

Dr. Kevin Bello Soroco Thursday, November 21, 2024 11:00AM – 12:00PM HEC 101A | Zoom Abstract Interpretability and causality are key desiderata in modern machine learning systems. Graphical models, and more specifically directed acyclic graphs (DAGs, a.k.a. Bayesian networks), serve as a well-established tool for expressing interpretable causal relationships. However, the task of estimating DAG […]

Dr. Yu Tian University of Pennsylvania Thursday, November 14, 2024 11:00AM – 12:00PM HEC 101A | Zoom Abstract In today’s world, deep neural networks drive machine learning systems that pervade every aspect of our daily lives. Yet, their deployment often raises concerns about trustworthiness, including safety, fairness, and other issues. This is particularly important and […]

Announcing the Final Examination of Ishan Dave for the degree of Doctor of Philosophy in Computer Science

Dr. Pingkun Yan Rensselaer Polytechnic University Tuesday, October 22, 2024 2:00PM – 2:45PM HEC 101B | Zoom Abstract Despite advancements in AI models for medical image analysis, ensuring their trustworthiness remains a challenge. Accuracy, interpretability, robustness, and generalizability are critical for gaining the confi-dence of healthcare professionals and other stakeholders. This talk focuses on AI […]

Dr. Aditya Desai UC Berkeley Thursday, August 29, 2024 10:00AM – 11:00AM HEC 101A | Zoom Abstract The recent advancements in the capabilities of AI models have been extraordinary. However, training and deploying these models is prohibitively costly. The primary reason for increasing costs is the exponential increase in model sizes, which requires commensurate computing and […]

Dr. Qi Zhang University of South Carolina Thursday, August 22, 2024 10:00AM – 11:00AM HEC 101A | Zoom Abstract Cooperative artificial intelligence equips a team of autonomous agents with the capability of planning and learning to maximize their joint utility, which finds a wide range of applications. Current solutions to cooperative AI, instantiated as cooperative […]

Announcing the Final Examination of Matias Mendieta for the degree of Doctor of Philosophy in Computer Science

Announcing the Final Examination of Matias Mendieta for the degree of Doctor of Philosophy in Computer Science

Announcing the Final Examination of Praveen Tirupattur for the degree of Doctor of Philosophy in Computer Science