AI Seminars

Future AI Events

AI Seminar: The Data Pyramid for Building Generalist Agents

Yuke Zhu, Assistant Professor - UT-Austin

AI Seminar: The mathematics of neural networks: recent advances, thoughts, and the path forward

Mikhail Belkin, Professor - University of California, San Diego

Past AI Events

AI Seminar: Microbial "Language" Model: Using Natural Language Processing Techniques to Understand Microbiomes

Xiaoli Fern, Associate Professor - Computer Science, Oregon State University

AI Seminar: AI can learn from data. But can it learn to reason?

Guy Van den Broeck - University of California at Los Angeles

AI Seminar: Symbols as a Lingua Franca for Supporting Human-AI Interaction For Explainable and Advisable AI Systems

Subbarao Kambhampati - Professor, Arizona State University

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

AI Seminar: Data Science Consulting at AWS

Patrick Roberts and Neville Mehta - AWS

AI Seminar: Developing AI Decision Tools for Conservation

Iadine Chades - Principal Research Scientist, CSIRO

AI Seminar: Reinforcement Learning with Exogenous States and Rewards

George Trimponias - Sr. Applied Scientist, Amazon

AI Seminar: Investigating Latent State and Uncertainty Representations in Reinforcement Learning

Anurag Koul - PostDoctoral Researcher, Microsoft Research (New York)

AI Seminar: Vulnerability and Robustness of Linear Bandits

Huazheng Wang - Assistant Professor, Computer Science, Oregon State University

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

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

AI Seminar: Universal Representations for AI

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

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

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