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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.

Dissertation Defense

Machine Learning for Security and Beyond: From Threat Detection to Coreset Selection for Efficient Learning

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

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Past Events

Dissertation Defense

‘Hacking’ Assistive Technology: Creating Personal AI Tools for Access

Jaylin Herskovitz

Dissertation Defense

Minimal 3D Priors for Sparse View Reconstruction

AI Lab Events | Friday Night AI

Friday Night AI: Rethinking Privacy in the Age of AI: Who’s Watching, Who’s Protecting

Dissertation Defense

Conversational Modeling for Healthcare Communication

Dissertation Defense

Modeling Affect in Speech and Language in the Presence of Natural Inconsistency

Dissertation Defense

Towards Scalable and Stable Machine Learning in Clinical Contexts: Addressing Computational Efficiency and Dataset Shift

Meera Krishnamoorthy

Dissertation Defense

Towards Generalist Vision-Language Models for Videos in Embodied AI

Integrating AI and Digital Health in Medical and Dental Practices: From Evidence-Based Clinical Implementation to Research Innovation

Dissertation Defense

Towards Controllability, Efficiency, and Trustworthiness of Text Generation Systems

AI Lab Events | AI Seminar

NLP is Dead, Long Live NLP

Pascale Fung, Chair Professor, HKUST

Rethinking Online Content Ecosystems through the Lens of Computational Economics

Haifeng Xu, Assistant Professor, Computer Science, University of Chicago

AI Seminar | Alumni

Data Attribution: A Principled Approach for Data-Centric AI

Jiaqi Ma, Assistant Professor, School of Information Sciences, University of Illinois Urbana-Champaign

We love being a professor. So would YOU!

Dissertation Defense

Towards Having Personalized, Situated, and Grounded Conversations with Human Like Human

Beyond Human | AI, Opera, and the Art of Machine Expression

AI for Social Impact: Deployed Resource Optimization and Future Acceleration with Foundation Models

Milind Tambe, Gordon McKay Professor of Computer Science and Director of Center for Research on Computation and Society, Harvard U. and Google “AI for Social Good”

Faculty Candidate Seminar

CANCELLED: Beyond Scaling: Frontiers of Retrieval-Augmented Language Models

Akari Asai, Ph.D. Candidate, University of Washington

AI Lab Events | Other Event

AI: The Good, the Bad, and the Ugly

Siyang Liu, PhD Candidate, University of Michigan AI Lab

Dissertation Defense

Leveraging Priors of Generative Models

Faculty Candidate Seminar

Developing Responsible AI Monitoring Technologies for Chronic Care

Daniel Adler, Ph.D. Candidate, Cornell University

Generative Models of Video

Ruben Villegas, Senior Research Scientist, Google DeepMind

Dissertation Defense

Situated Language Grounding for Multimodal AI Assistant Modeling

Faculty Candidate Seminar

Self-Learning Principles of Large-Scale Foundation Models

Yifei Wang, Postdoc, Massachusetts Institute of Technology

Faculty Candidate Seminar

Neural Operator for Scientific Computing

Zongyi Li, Ph.D. Candidate, CalTech

What Do Large Language Models Tell Us About Human Language?

Richard Futrell, Associate Professor in Language Science,
University of California, Irvine

Jordan Kodner, Assistant Professor of Linguistics,
Stony Brook University

Ellie Pavlick, Associate Professor of Computer Science, Cognitive Science, and Linguistics,
Brown University

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