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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 2024

Dissertation Defense

Exploring In-Context Reinforcement Learning

Code Representation Learning at Scale

Dejiao Zhang, Senior Applied Scientist, AWS AI Labs

Strategic Reasoning in Machine Learning, with Implications for Security and Fairness

Yevgeniy Vorobeychik, Professor of Computer Science & Engineering, Washington University in St. Louis.

Dissertation Defense

Artificial Intelligence Algorithms for Large Economic and Computer Games

Dissertation Defense

Learning Visual Representations from Cross-Modal Correspondence

Mohamed El Banani

Dissertation Defense

Language Supervision for Computer Vision

Realizing AI for Impact: Uncertainty and Human-Agent Collaboration in Multi-Agent Systems for Public Health and Conservation

Elizabeth Bondi-Kelly, Assistant Professor, Computer Science and Engineering, University of Michigan

Friday Night AI: “Consciousness, Intelligence, and Theory of Mind in Generative AI”

Faculty Candidate Seminar

Accessible Foundation Models: Systems, Algorithms, and Science

Tim Dettmers, Ph.D. Candidate, University of Washington

From Autonomy to Synergy: Envisioning Next Generation Human-AI Partnerships

Sidney D’Mello, Professor, Institute of Cognitive Science & Department of Computer Science, University of Colorado Boulder

Using Large Language Models to Understand Human Cognition

Sean S Trott, Assistant Professor, University of California, San Diego

We love being a professor. So would YOU!

Technology Meets Creativity: A Workshop on AI and Creative Arts

Towards a Science of Human-AI Decision Making: Empirical Understandings, Computational Models, and Intervention Designs

Ming Yin, Assistant Professor, Computer Science, Purdue University

Faculty Candidate Seminar

Understanding Language Models through Discovery and by Design

John Hewitt, Ph.D. Candidate, Stanford University

Distinguished Lecture

An AI stack: from cloud orchestration to LLM evaluation

Ion Stoica, Professor, Electrical Engineering and Computer Science, University of California – Berkeley

Faculty Candidate Seminar

Causal Inference for Robust, Reliable, and Responsible NLP

Zhijing Jin, Ph.D. Candidate, Max Planck Institute & ETH Zurich

MIDAS Symposium | The AI in Science and Engineering annual symposium

From Pixels to Measurements: Understanding the Dynamic World

Adam Harley, Postdoc, Stanford University

MIDAS Symposium | The AI in Science and Engineering annual symposium

Faculty Candidate Seminar

Towards Principled Modeling of Inductive Bias for Generalizable Machine Learning

Weiyang Liu, Ph.D. Candidate, Max Planck Institute

Faculty Candidate Seminar

Building Planetary-Scale Collaborative Intelligence

Sai Praneeth Karimireddy, Postdoc, University of California, Berkeley

On Building General-Purpose Home Robots

Lerrel Pinto, Assistant Professor, Computer Science, New York University

LHS Collaboratory Seminar

Ethical AI in Healthcare

Jodyn E Platt, MPH, PhD, Associate Professor of Learning Health Sciences, University of Michigan

Artificial Intelligence in the age of ChatGPT

Towards 4D Reconstruction in the Wild

Gengshan Yang, Research Scientist, Meta

Unlocking musical creativity with generative AI

Chris Donahue, Assistant Professor, Carnegie Mellon University

Connecting the Dots Between AI Ethics & Sustainability

Sasha Luccioni, Hugging Face

SciFM24 Conference

SciFM24 Conference

Leveraging Formal Methods for Trustworthy AI-assisted Software Development

Sarah Fakhoury, Postdoctoral Researcher, Microsoft Research, Redmond

Faculty Candidate Seminar

Towards Principled Sequential Decision-Making

Qinghua Liu, Ph.D. Candidate, Princeton University

Annual Ethical AI Symposium 2024

The AI Bill of Rights and the Future of Technology Policy

Alondra Nelson, Harold F. Linder Professor, Institute for Advanced Study

Faculty Candidate Seminar

Learning from Interaction

Kiante Brantley, Postdoc, Cornell University

Natural Language Processing Seminar

MSLD | Midwest Speech & Language Days

Natural Language Processing Seminar

MSLD | Midwest Speech & Language Days

Faculty Candidate Seminar

Generalizing Beyond the Training Distribution through Compositional Generation

Yilun Du, Ph.D. Candidate, Massachusetts Institute of Technology

Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models

Samuel Marks, Postdoctoral Researcher, Northeastern University

{Featured Event} AI National Security Policy

What our words say about us | 2024 Katz-Newcomb Social Psychology Annual Lecture

James Pennebaker, Ph.D., Professor Emeritus of Psychology, University of Texas at Austin

Dissertation Defense

A Strategic Agent-Based Analysis of Economic and Technological Changes in Financial Networks

Dissertation Defense

Machine Learning Approaches for Quantitative Analysis and Characterization of Pathological Speech Disorders

Dissertation Defense

Learning Representations for Efficient Exploration and Goal-Conditioned Reinforcement Learning

Dissertation Defense

Towards Clinically Applicable Reinforcement Learning

Dissertation Defense

Towards Video Understanding through Language in Real-life Settings

Santiago Castro

Dissertation Defense

Advancing Graph Neural Networks for Complex Data: A Perspective Beyond Homophily

Dissertation Defense

Transforming Disfluency Detection: Integrating Large Language and Acoustic Models

Dissertation Defense

Predicting the Timing of Clinical Outcomes in the Presence of Multiple Events and Noisy Labels

Friday Night AI: “AI and the Future of Creative Expressions”

Scalable Real-time Abnormal Event Detection

Radu Ionescu, University of Bucharest

Dissertation Defense

Interpretability, Controllability, and Expressivity in the Age of Language Models

Dissertation Defense

Enabling Robot Arm Motion with Multiple Objectives Through Agent Representation and Reasoning

Elizabeth Goeddel

Dissertation Defense

Learning to Interact with the 3D World

Dissertation Defense

Reconstructing Full 3D Geometry and Interaction Dynamics from Real World data

Nilesh Kulkarni

Dissertation Defense

Coherent Physical Commonsense Reasoning in Foundational Language Models

AI Lab Idea Snippets

Alvaro Vega Hidalgo,
University of Michigan

Mahzad Khoshlessan,
University of Michigan

Siyang Liu,
University of Michigan

Martin Ziqiao Ma,
University of Michigan

Trenton Chang,
University of Michigan

Jie Ruan,
University of Michigan

The Future is Hear: Innovations from the Interactive Audio Lab

Bryan Pardo, Professor of Computer Science, Northwestern University

Weight Space Learning: Learning Representations of Populations of Neural Networks

Damian Borth, Professor of Artificial Intelligence and Machine Learning, University of St. Gallen

Friday Night AI: “Redefining Access: Can AI Provide Disability Support?”

Broadening Perspectives on African Governance in the Age of AI

Chinasa T. Okolo, Research Fellow, Governance Studies, Center for Technology Innovation, The Brookings Institution

Vesuvius Scrolls: From Ancient Manuscripts to Artificial Intelligence

Vesuvius Scrolls: From Ancient Manuscripts to Artificial Intelligence

Knowledge-guided Machine Learning

Anuj Karpatne, Associate Professor, Virginia Tech

2024 AI Symposium: “Embodied AI”

Dissertation Defense

Exploiting Tree Structure in Empirical Game-Theoretic Analysis for Extensive-Form Games

Christine Konicki

Building a Unicorn Startup and Accelerating Innovation with AI Physics

Joris Poort, CEO & Founder, Rescale

The Next Big Thing in A.I.

Web Agents: A New Frontier for Embodied Agents

Yu Su, Assistant Professor of Engineering Inclusive Excellence at the Department of Computer Science and Engineering, Ohio State University

Real Ethics for Artificial Agents

Dissertation Defense

Improving Graph Representation Learning with Augmentations, Uncertainty Quantification and Large Language Model Guidance

Faculty Candidate Seminar

kNNs and Hyperparameter Optimization

Henry Chai, Assistant Teaching Professor, Carnegie Mellon University

AI: The Good, the Bad, and the Ugly

Women in Computing

Interpretability and Adaptation of Language Models

Ndapa Nakashole, Associate Professor of Computer Science, University of California, San Diego

Leveraging AI to Address Poverty-related Issues

Human Centered Computing Seminar

Personalized Ubiquitous Computing through Predictive Behavior Modeling

Afsaneh Doryab, Assistant Professor of Computer Science and Systems Engineering, University of Virginia

Small Hybrid Language Model

Shizhe Diao, Research Scientist, NVIDIA Research

Other Event | Student Event

Power Hungry: A Discussion about AI’s Energy Usage and the Environment

Dissertation Defense

Towards Enhanced Human-AI Interaction: A Holistic Approach to Personalization in Natural Language Processing

Christopher Clarke

Benchmarking LLMs’ Judgments with No Gold Standard

Grant Schoenebeck, Associate Professor, School of Information, University of Michigan

AI Lab Events | Friday Night AI

Friday Night AI: AI vs. The Flu: Can Technology Predict and Prevent Epidemics?

Dissertation Defense

Leveraging Compositional Structure for Reinforcement Learning and Decision Making Problems

Dissertation Defense

Enhancing Video Understanding Through Deep Generative Models and Task Comprehension

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