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Future Events
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AI Seminar: New Frontiers of Deep Learning for Large-Scale Spatiotemporal Data
Rose Yu
Associate Professor, Computer Science and Engineering, UC San Diego
BEXL 102 and Zoom
Past Events
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AI Seminar: Some Perspectives on Stochastic Gradient Learning and an Application in Neuroprosthesis
V John Mathews
Professor, Electrical and Computer Engineering
CRPS 122
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AI Seminar: Great Haste Makes Great Waste: Exploiting and Attacking Efficient Deep Learning
Sanghyun Hong
Assistant Professor, Computer Science
KEAR 212
AI Seminar: The mathematics of neural networks: recent advances, thoughts, and the path forward
Mikhail Belkin, Professor
University of California, San Diego
Rogers 230
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AI Seminar: The Data Pyramid for Building Generalist Agents
Yuke Zhu, Assistant Professor
UT-Austin
Rogers 230
AI Seminar: AI can learn from data. But can it learn to reason?
Guy Van den Broeck
University of California at Los Angeles
Rogers 230
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AI Seminar: Microbial "Language" Model: Using Natural Language Processing Techniques to Understand Microbiomes
Xiaoli Fern, Associate Professor
Computer Science, Oregon State University
Rogers 230
AI Seminar: Symbols as a Lingua Franca for Supporting Human-AI Interaction For Explainable and Advisable AI Systems
Subbarao Kambhampati
Professor, Arizona State University
Rogers 230
AI Seminar: Seeing outside the image: Space and time completion for video tracking and scene parsing
Katerina Fragkiadaki
Assistant Professor, Machine Learning Department, Carnegie Mellon University
Rogers 230
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AI Seminar: Developing AI Decision Tools for Conservation
Iadine Chades
Principal Research Scientist, CSIRO
KEC 1003
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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
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AI Seminar: Investigating Latent State and Uncertainty Representations in Reinforcement Learning
Anurag Koul
PostDoctoral Researcher, Microsoft Research (New York)
KEC 1001
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AI Seminar: Vulnerability and Robustness of Linear Bandits
Huazheng Wang
Assistant Professor, Computer Science, Oregon State University
KEC 1001
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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
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
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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
KEC 1001
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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