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Sign up for our mailing list if you would like to be notified about our public events. Our events are organized with help from the following graduate students:

AI Tea Coordinators: Kaijain Zou & Angana Borah
AI Seminar Tsar: Ziqiao Ma
Friday Night AI Coordinators: Yara El-Tawil (FA & WN) & Snehal Prabhudesai (WN)
Michigan Science Center Coordinators: Meera Kirshnamoorthy & Snehal Prabhudesai (FA)
NLP Day Coordinators: Siyang Liu & Muhammad Khalifa
AI Blog Editors: Trenton Chang & Vaibhav Balloli

AI Seminars provide a forum for researchers in this important area to share their findings and thoughts. If you are interested in supporting Michigan AI events, please consider donating by clicking here.

Events for 2022

Defining cellular identity from single-cell genomic data with machine learning

Joshua Welch, Assistant Professor, Umich Computational Medicine and Bioinformatics

Algorithmic Gaussianization in Machine Learning

Michał Dereziński, Assistant Professor, U-M CSE

Human-Centered Explainable AI (XAI): From Algorithms to User Experiences

Vera Liao, Principal Researcher, Microsoft Research Montréal

Dissertation Defense

Incorporating Expert Interpretation and Reasoning to Guide Model Selection in Machine Learning

Dissertation Defense

Constructing Meaning, Piece by Piece: A Computational Cognitive Model of Human Sentence Comprehension

Bringing Ethics and Justice into CS Courses: The Social and Political Factors at Play in Entry-Level CS Concepts

Johanna Okerlund, Postdoctoral Fellow , University of Michigan

Friday Night AI | Faster than COVID: Can AI Predict a Disease’s Next Move?

Jenna Wiens, Associate Professor ,
U-M CSE, Michigan AI

Karandeep Singh, Assistant Professor ,
Michigan Medicine

Dissertation Defense

Augmenting Structure with Text for Improved Graph Learning

Dissertation Defense

On Addressing the Problem of Discovery for Reinforcement Learning

Dissertation Defense

The Value Equivalence Principle for Model-Based Reinforcement Learning

Christopher Grimm

Dissertation Defense

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

Dissertation Defense

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

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)

Dissertation Defense

Learning General and Correct Procedural Knowledge in a Cognitive Architecture

Dissertation Defense

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

Dissertation Defense

Towards Human Action Understanding in Social Media Videos using Multimodal Models

Dissertation Defense

A Cognitive Architecture Realization of Event Cognition Capabilities

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

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

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

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

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

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

Rafael Frongillo, Assistant Professor, University of Colorado Boulder

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

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

Michigan AI Symposium – AI & Accessibility

Dissertation Defense

Towards Generalizable Neural Networks for Graph Applications

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

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

Dissertation Defense

Theory of Mind in Collaborative Tasks between Embodied Agents

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

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

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

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

DNA Punch-Cards: Implementations and Coding-Theoretic Questions

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

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