AI Seminars

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Future Events

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Mitchell Black

Challenges and Trade-Offs for Graph Neural Networks

Mitchell Black

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Kendrea Beers

AI Seminar: Principles for AI Governance

Kendrea Beers

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Adam Harley

AI Seminar: From Pixels to Measurements: Understanding the Dynamic World

Adam Harley

Past Events

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Jason Corso

AI Seminar: Curious Embeddings, Hazy Oracles, and the Path to Safe, Cooperative AI

Jason Corso

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Rohit Israni

AI Seminar: Responsible AI with International Standards

Rohit Israni

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Aryan Deshwal

AI Seminar: Adaptive Experimental Design to Accelerate Scientific Discovery and Engineering Design

Aryan Deshwal

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Kiri Wagstaff

AI Seminar: What I Learned Serving as an AI Expert in the U.S. Congress

Kiri Wagstaff

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Haoyou Yang

AI Seminar: Illuminating the Future of Lithography: AI-Powered Simulation and Optimization

Haoyu Yang

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Sharmodeep Bhattacharyya

AI Seminar: Change Point Detection with Localization

Sharmodeep Bhattacharyya

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Robin Abraham

A Fireside Chat with an Oregon Stater Awardee

Robin Abraham

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Xiao Fu

AI Seminar: Towards Provable Unaligned Multimodal Learning: A Model Identification Perspective

Xiao Fu

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Joshua Bhagat Smith

AI Seminar: Adaptive Workload Modeling for Human-Robot Teams

Joshua Bhagat Smith

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Pascal Poupart

AI Seminar: Inverse constraint learning and risk averse reinforcement learning for safe AI

Pascal Poupart

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Pascal Poupart

AI Seminar: Training Machines to Know What They Don't Know

Pascal Poupart

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Weng-Keen Wong

AI Seminar: Deep Learning for Radio-Frequency Device Fingerprinting

Weng-Keen Wong

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Kunpeng Liu

AI Seminar: Towards Automated Data Mining: Reinforcement Intelligence for Self-Optimizing Feature Engineering

Kunpeng Liu

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Siddharth Srivastava

AI Seminar: When Sparse Data is All You Have: Learning World Models for Generalizable Planning and RL with a View Towards AI Assessment

Siddharth Srivastava

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cory simon

AI Seminar: Teams of mobile robots orienteering in hazardous environments

Cory Simon

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Jay Thiagarajan

AI Seminar: Towards Safe and Actionable AI: Strategies for Robust Adaptation and Proactive Failure Detection

Jay Thiagarajan

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Kostas Daniilidis

AI Seminar: Equivariance in Learning for Perception

Kostas Daniilidis

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Jean Tarbouriech

AI Seminar: Probabilistic Inference in Reinforcement Learning Done Right

Jean Tarbouriech

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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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Wen Sun

AI Seminar: Hybrid RL: Using Offline Data for Efficient Online Reinforcement Learning

Wen Sun