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Events

The events are organized with help from the following graduate students:

AI Seminars Tsar: Winston Wu
AI Teas Coordinators: Frederick Zhang and Madelyn Gatchel
AI Symposium Poster Chairs: Ziqiao “Martin” Ma and Chen Liang

AI Seminars provide a forum for researchers in this important area to share their findings and thoughts.

AI Seminars Sponsor:

There are no events currently scheduled.

Past events

AI Seminar | Women in Computing

Confounding-Robust Policy Learning under Sequentially Exogenous Unobserved Confounders

Angela Zhou, Assistant Professor, Data Sciences and Operations, University of Southern California

4:00pm – 5:00pm in 3725 Beyster Building

AI Seminar: Cynthia Rudin – Understanding How Dimension Reduction Tools Work

Cynthia Rudin, Professor, Computer Science and Engineering, Duke University

4:00pm – 5:00pm

CANCELLED – AI Seminar: Bryan Pardo – VoiceBlock: Privacy through Real-Time Adversarial Attacks with Audio-to-Audio Models

Bryan Pardo, Professor, Computer Science and Radio, Television, and Film, Northwestern University

4:00pm – 5:00pm in 3725 Beyster Building

Women in Computing | CSE Seminar

DNA Punch-Cards: Implementations and Coding-Theoretic Questions

Olgica Milenkovic, Franklin W. Woeltge Professor of Electrical and Computer Engineering, University of Illinois, Urbana-Champaign

2:00pm – 3:00pm in Remote/Virtual

AI Seminar: Stella Yu – Unsupervised Data-Driven Learning of Visual Hierarchy

Stella Yu, Professor, Computer Science and Engineering, University of Michigan

4:00pm – 5:00pm in 3725 Beyster Building

AI Seminar: Iryna Gurevych – Comment – Link – Revise: Towards a General Framework for Modelling Interconnected Texts

Iryna Gurevich, Professor, Computer Science, Technische Universität Darmstadt, Germany

12:00pm – 1:00pm in Remote/Virtual

Dissertation Defense

Theory of Mind in Collaborative Tasks between Embodied Agents

11:00am – 1:00pm in 3901 Beyster Building

Friday Night AI | “Is AI Robust Enough to Withstand Attacks?”

6:30pm – 7:30pm in Ann Arbor District Library, Downtown

AI Seminar: David Jurgens – Does chocolate really cure cancer? Modeling Information Change in Science Communication

David Jurgens, Assistant Professor, School of Information, University of Michigan

4:00pm – 5:00pm in 3725 Beyster Building

Dissertation Defense

Towards Generalizable Neural Networks for Graph Applications

12:00pm – 2:00pm in Remote/Virtual

Michigan AI Symposium – AI & Accessibility

9:00am – 5:00pm in 1670 Beyster Building

AI Seminar: Con Slobodchikoff – Decoding Animal Languages: Possibilities and Challenges

Con Slobodchikoff, Professor Emeritus, Department of Biological Sciences, Northern Arizona University

4:00pm – 5:00pm in 3725 Beyster Building

How (Not) to Run a Forecasting Competition: Incentives and Efficiency

Rafael Frongillo, Assistant Professor, University of Colorado Boulder

9:00am – 10:30am in 3725 Beyster Building

AI Seminar: Benjamin Kuipers – AI, Ethics, Trust, Cooperation & Society

Benjamin Kuipers, Professor, Computer Science and Engineering, University of Michigan

4:00pm – 5:00pm in 3725 Beyster Building

AI Seminar: Rada Mihalcea – The Ups and Downs of Word Embeddings

Rada Mihacea, Professor, Computer Science and Engineering, University of Michigan

4:00pm – 5:30pm in 3725 Beyster Building

Friday Night AI | “The school year has just started. Can AI help?”

6:30pm – 7:30pm in Ann Arbor District Library, Downtown

Dissertation Defense

A Cognitive Architecture Realization of Event Cognition Capabilities

3:00pm – 5:00pm in Remote/Virtual

Dissertation Defense

Towards Human Action Understanding in Social Media Videos using Multimodal Models

2:00pm – 4:00pm in Remote/Virtual

Dissertation Defense

Sample-Efficient Algorithms for Hard-Exploration Problems in Reinforcement Learning

4:00pm – 6:00pm in 3725 Beyster Building

Dissertation Defense

Learning General and Correct Procedural Knowledge in a Cognitive Architecture

1:00pm – 3:00pm in 3725 Beyster Building

Friday Night AI | “Language is everywhere — and AI models of language are not far behind“

Steve Abney, Associate Professor of Linguistics,
U-M Computer Science and Engineering and the Michigan Institute for Data Science (MIDAS)

Ian Stewart, Postdoctoral researcher,
U-M Computer Science and Engineering and the Michigan Institute for Data Science (MIDAS)

7:00pm – 8:00pm in Remote/Virtual

Dissertation Defense

Modeling Trading Strategies in Financial Markets with Data, Simulation, and Deep Reinforcement Learning

9:00am – 11:00am in 3725 Beyster Building

Dissertation Defense

Advances in Deep Reinforcement Learning: Intrinsic Rewards, Temporal Credit Assignment, State Representations, and Value-equivalent Models

9:00am – 11:00am in 3725 Beyster Building

Dissertation Defense

The Value Equivalence Principle for Model-Based Reinforcement Learning

Christopher Grimm

1:00pm – 3:00pm in 3725 Beyster Building

Dissertation Defense

On Addressing the Problem of Discovery for Reinforcement Learning

2:00pm – 4:00pm in Remote/Virtual

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