AI Seminars

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Future Events

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Bonnie J. Dorr

AI Seminar: The Future of NLP Applications in the Age of Large Language Models

Bonnie J. Dorr

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Jean Tarbouriech

AI Seminar: Probabilistic Inference in Reinforcement Learning Done Right

Jean Tarbouriech

Past Events

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AI Seminar: Vulnerability and Robustness of Linear Bandits

Huazheng Wang
Assistant Professor, Computer Science, Oregon State University

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AI Seminar: Causal Inference and Data Fusion

Elias Bareinboim
Associate Professor, Department of Computer Science, Director, Causal Artificial Intelligence Laboratory, Columbia University

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

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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

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AI Seminar: Universal Representations for AI

Sridhar Mahadevan
Director, Adobe Research, Research Professor, University of Massachusetts, Amherst

AI Seminar: Enabling Humans and Robots to Predict the Other’s Behavior from Small Datasets

Vaibhav Unhelkar
Assistant Professor of Computer Science, Rice University

AI Seminar: Toward Addressing Evaluation and Explanation Challenges in Scientific ML Applications

Shusen Liu
Research Scientist, Machine Intelligence Group, Lawrence Livermore National Laboratory

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Sinisa Todorovic

AI Seminar: Few-Shot Object Segmentation

Sinisa Todorovic
Professor, School of Electrical Engineering and Computer Science, Oregon State University

AI Seminar: Graphical Models for Handling Data that may be Incomplete or Non-iid

Karthika Mohan and Chi Zhang

AI Seminar: Probabilistic Planning through the Lens of Approximate Inference

Roni Khardon
Professor, Department of Computer Science, Indiana University, Bloomington

AI Seminar: Building neural networks that know what they don’t know

Balaji Lakshminarayanan
Staff Research Scientist, Google Brain

Upscaling Nonlinear Reactions in Tissues: Closure via Machine Learning

Brian Wood
Professor, Chemical, Biological, and Environmental Engineering, Oregon State University

AI Seminar: Human-AI Collaboration for Interactive Image Editing and Machine Autonomy

Bolei Zhou
Assistant Professor, Computer Science, University of California, Los Angeles

Charismatic Robots in Everyday Human Spaces

Heather Knight
Assistant Professor, Computer Science, Oregon State University

AI Seminar: Distributional Kernels: an under-utilized resource

Kai Ming Ting
Professor, School of Artificial Intelligence, Nanjing University

AI Seminar: Challenges and Opportunities in Out-of-distribution Detection

Sharon Yixuan Li
Assistant Professor, Department of Computer Sciences, University of Wisconsin-Madison

AI Seminar: Considerations for More Scalable Trustworthy AI

Richard Mallah
Director of AI Projects, The Future of Life Institute

AI Seminar: Over a trillion bases and counting: why leveraging public databases is essential for microbiome analysis

Maude David
Assistant Professor, Microbiology and Pharmaceutical Sciences, Oregon State University

AI Seminar: Quo Vadis? Predicting Future Trajectories of Robots through Temporal Logics and Bayesian Inference

Sriram Sankaranarayanan
Associate Professor, Computer Science, University of Colorado, Boulder

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Researcher in a suit.

AI Seminar: Algorithmic Ethics for Autonomous Systems

Houssam Abbas
Assistant Professor, Electrical and Computer Engineering, Oregon State University