AI Seminars
Explore groundbreaking advancements in artificial intelligence, engage with thought leaders, and gain insights into the future of AI.
Join the AI Seminar virtually
Most of our AI seminars are available virtually. On the day of the event, you can watch via the Zoom link below. Archived videos are typically available within a week of each seminar.
Upcoming Seminars
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Past Events
2025 to present
Seminars prior to 2025/26 academic year
AI Seminar: Developing AI Decision Tools for Conservation
Iadine Chades
Principal Research Scientist, CSIRO
KEC 1003
AI Seminar: Responsibility in AI for Fair and Transparent Search and Recommender Systems
Chirag Shah
Professor, Information School, University of Washington
KEC 1001
AI Seminar: Reinforcement Learning with Exogenous States and Rewards
George Trimponias
Sr. Applied Scientist, Amazon
Rogers 230
AI Seminar: Investigating Latent State and Uncertainty Representations in Reinforcement Learning
Anurag Koul
PostDoctoral Researcher, Microsoft Research (New York)
KEC 1001
AI Seminar: Vulnerability and Robustness of Linear Bandits
Huazheng Wang
Assistant Professor, Computer Science, Oregon State University
KEC 1001
AI Seminar: Causal Inference and Data Fusion
Elias Bareinboim
Associate Professor, Department of Computer Science, Director, Causal Artificial Intelligence Laboratory, Columbia University
KEC 1001
AI Seminar: AI and O.R. for Environmental Sustainability
Bistra Dilkina
Associate Professor of Computer Science, Co-Director, USC Center of AI in Society, University of Southern California
KEC 1001
AI Seminar: Understanding Multiview and Self-Supervised Representation Learning: A Nonlinear Mixture Identification Perspective
Xiao Fu
Assistant Professor, School of Electrical Engineering and Computer Science, Oregon State University
KEC 1001
AI Seminar: Universal Representations for AI
Sridhar Mahadevan
Director, Adobe Research, Research Professor, University of Massachusetts, Amherst
KEC 1001
AI Seminar: Enabling Humans and Robots to Predict the Other’s Behavior from Small Datasets
Vaibhav Unhelkar
Assistant Professor of Computer Science, Rice University
Zoom: https://oregonstate.zoom.us/j/93591935144?pwd=YjZaSjBYS0NmNUtjQzBEdzhPeDZ5UT09
AI Seminar: Toward Addressing Evaluation and Explanation Challenges in Scientific ML Applications
Shusen Liu
Research Scientist, Machine Intelligence Group, Lawrence Livermore National Laboratory
Zoom: https://oregonstate.zoom.us/j/93591935144?pwd=YjZaSjBYS0NmNUtjQzBEdzhPeDZ5UT09
AI Seminar: Few-Shot Object Segmentation
Sinisa Todorovic
Professor, School of Electrical Engineering and Computer Science, Oregon State University
Zoom: https://oregonstate.zoom.us/j/93591935144?pwd=YjZaSjBYS0NmNUtjQzBEdzhPeDZ5UT09
AI Seminar: Graphical Models for Handling Data that may be Incomplete or Non-iid
Karthika Mohan and Chi Zhang
Zoom: https://oregonstate.zoom.us/j/93591935144?pwd=YjZaSjBYS0NmNUtjQzBEdzhPeDZ5UT09
AI Seminar: Probabilistic Planning through the Lens of Approximate Inference
Roni Khardon
Professor, Department of Computer Science, Indiana University, Bloomington
Zoom: https://oregonstate.zoom.us/j/93591935144?pwd=YjZaSjBYS0NmNUtjQzBEdzhPeDZ5UT09
AI Seminar: Building neural networks that know what they don’t know
Balaji Lakshminarayanan
Staff Research Scientist, Google Brain
Zoom: https://oregonstate.zoom.us/j/93591935144?pwd=YjZaSjBYS0NmNUtjQzBEdzhPeDZ5UT09
Upscaling Nonlinear Reactions in Tissues: Closure via Machine Learning
Brian Wood
Professor, Chemical, Biological, and Environmental Engineering, Oregon State University
Zoom: https://oregonstate.zoom.us/j/93591935144?pwd=YjZaSjBYS0NmNUtjQzBEdzhPeDZ5UT09
AI Seminar: Human-AI Collaboration for Interactive Image Editing and Machine Autonomy
Bolei Zhou
Assistant Professor, Computer Science, University of California, Los Angeles
https://oregonstate.zoom.us/j/93591935144?pwd=YjZaSjBYS0NmNUtjQzBEdzhPeDZ5UT09
Charismatic Robots in Everyday Human Spaces
Heather Knight
Assistant Professor, Computer Science, Oregon State University
Zoom: https://oregonstate.zoom.us/j/93591935144?pwd=YjZaSjBYS0NmNUtjQzBEdzhPeDZ5UT09
AI Seminar: Distributional Kernels: an under-utilized resource
Kai Ming Ting
Professor, School of Artificial Intelligence, Nanjing University
Zoom: https://oregonstate.zoom.us/j/93591935144?pwd=YjZaSjBYS0NmNUtjQzBEdzhPeDZ5UT09