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Artificial Intelligence Seminars

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Past Seminars

Efficient Learning of Sparse Distributed Feature Representations

Honglak Lee, Assistant Professor, University of Michigan

Spectral Approaches to Learning Dynamical Systems

Byron Boots, Ph.D Candidate, School of Computer Science at Carnegie Mellon University

Price Predicting Trading Strategies for Simultaneous One-Shot Auctions

Michael P. Wellman, Professor, University of Michigan

Semantic Mapping with Mobile Robots

Andrzej Pronobis, Post-Doctoral Researcher, KTH Royal Institute of Technology

Selective Communication to Reduce Uncertainty in Multiagent Coordination

Edmund Durfee, Professor, University of Michigan

Toyota AI Seminar Orientation

Toyota AI Seminar: Generating and Exploiting 3D Laser Data for Mobile Robotics

Paul Newman, Professor, Oxford University

Toyota AI Seminar: Sharks attack humans, but most sharks don't attack humans: Learning to express generalizations in language

Susan Gelman, Professor, University of Michigan, Psychology

Toyota AI seminar: Temporal Pattern Recognition in the ICU

Mohammed Saeed, MD, PhD, University of Michigan, Cardiovascular Center and Health System

Toyota AI Seminar: Sharks attack humans, but most sharks dont attack humans: Learning to express generalizations in language

Susan Gelman, Professor, University of Michigan, Psychology

Toyota AI Seminar: Classifying the Political Leaning of News Articles and Users From User Votes

Toyota AI Seminar: Efficient Implementation of and Inference in Probabilistic Programming Languages

David Wingate, PhD., M.I.T

Toyota AI Seminar: The Optimal Reward Problem

Satinder Singh Baveja, Professor, University of Michigan, CSE

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