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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.

Vesuvius Scrolls: From Ancient Manuscripts to Artificial Intelligence

8:00am – 5:00pm in Hussey Room, Michigan League

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Vesuvius Scrolls: From Ancient Manuscripts to Artificial Intelligence

9:30am – 5:00pm in Hussey Room, Michigan League

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2024 AI Symposium: “Embodied AI”

9:00am – 5:00pm in Stamps Auditorium, Walgreen Drama Center

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AI: The Good, the Bad, and the Ugly

6:30pm – 7:30pm in Dexter District Library

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Praneeth Vepakomma Seminar

Praneeth Vepakomma, Assistant Professor, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)

4:00pm – 5:00pm

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Grant Schoenebeck Seminar

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

4:00pm – 5:00pm

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Past events

Grant Schoenebeck Seminar

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

Praneeth Vepakomma Seminar

Praneeth Vepakomma, Assistant Professor, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)

AI: The Good, the Bad, and the Ugly

2024 AI Symposium: “Embodied AI”

Vesuvius Scrolls: From Ancient Manuscripts to Artificial Intelligence

Vesuvius Scrolls: From Ancient Manuscripts to Artificial Intelligence

Broadening Perspectives on African Governance in the Age of AI

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

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

Weight Space Learning: Learning Representations of Populations of Neural Networks

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

The Future is Hear: Innovations from the Interactive Audio Lab

Bryan Pardo, Professor of Computer Science, Northwestern University

AI Lab Idea Snippets

Alvaro Vega Hidalgo

Mahzad Khoshlessan

Martin Ziqiao Ma

Dissertation Defense

Coherent Physical Commonsense Reasoning in Foundational Language Models

Dissertation Defense

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

Nilesh Kulkarni

Dissertation Defense

Learning to Interact with the 3D World

Dissertation Defense

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

Elizabeth Goeddel

Dissertation Defense

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

Scalable Real-time Abnormal Event Detection

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

Dissertation Defense

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

Dissertation Defense

Transforming Disfluency Detection: Integrating Large Language and Acoustic Models

Dissertation Defense

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

Dissertation Defense

Towards Video Understanding through Language in Real-life Settings

Santiago Castro

Dissertation Defense

Towards Clinically Applicable Reinforcement Learning

Dissertation Defense

Learning Representations for Efficient Exploration and Goal-Conditioned Reinforcement Learning

Dissertation Defense

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

Dissertation Defense

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

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

{Featured Event} AI National Security Policy

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

Samuel Marks, Postdoctoral Researcher, Northeastern University

Faculty Candidate Seminar

Generalizing Beyond the Training Distribution through Compositional Generation

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

Natural Language Processing Seminar

MSLD | Midwest Speech & Language Days

Natural Language Processing Seminar

MSLD | Midwest Speech & Language Days

Faculty Candidate Seminar

Learning from Interaction

Kiante Brantley, Postdoc, Cornell University

The AI Bill of Rights and the Future of Technology Policy

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

Annual Ethical AI Symposium 2024

Faculty Candidate Seminar

Towards Principled Sequential Decision-Making

Qinghua Liu, Ph.D. Candidate, Princeton University

AI Seminar | CSE DEI Speaker Series

Leveraging Formal Methods for Trustworthy AI-assisted Software Development

Sarah Fakhoury, Postdoctoral Researcher, Microsoft Research, Redmond

SciFM24 Conference

SciFM24 Conference

Connecting the Dots Between AI Ethics & Sustainability

Unlocking musical creativity with generative AI

Chris Donahue, Assistant Professor, Carnegie Mellon University

Towards 4D Reconstruction in the Wild

Gengshan Yang, Research Scientist, Meta

Artificial Intelligence in the age of ChatGPT

LHS Collaboratory Seminar

Ethical AI in Healthcare

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

On Building General-Purpose Home Robots

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

Faculty Candidate Seminar

Building Planetary-Scale Collaborative Intelligence

Sai Praneeth Karimireddy, Postdoc, University of California, Berkeley

Faculty Candidate Seminar

Towards Principled Modeling of Inductive Bias for Generalizable Machine Learning

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

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

Causal Inference for Robust, Reliable, and Responsible NLP

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

MAR

13

2024

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

Understanding Language Models through Discovery and by Design

John Hewitt, Ph.D. Candidate, Stanford University

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

Ming Yin, Assistant Professor, Computer Science, Purdue University

Technology Meets Creativity: A Workshop on AI and Creative Arts

We love being a professor. So would YOU!

Using Large Language Models to Understand Human Cognition

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

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

Faculty Candidate Seminar

Accessible Foundation Models: Systems, Algorithms, and Science

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

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

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

Dissertation Defense

Language Supervision for Computer Vision

Dissertation Defense

Learning Visual Representations from Cross-Modal Correspondence

Mohamed El Banani

Dissertation Defense

Artificial Intelligence Algorithms for Large Economic and Computer Games

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

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

Code Representation Learning at Scale

Dejiao Zhang, Senior Applied Scientist, AWS AI Labs

Dissertation Defense

Exploring In-Context Reinforcement Learning

Rewriting Conventional Societal Narratives with Data and AI

Bridging the Socio-Technical Gap: Towards Explainable and Responsible AI

Q. Vera Liao, Principal Researcher, Microsoft Research Montreal

AI Seminar | Dissertation Defense

Data-driven Solutions for Blood Glucose Management

Harry Rubin-Falcone, PhD Candidate, University of Michigan

Computing and AI: Traversing the Journey from Innovation to Convergence to Translation

Nitesh Chawla, Frank M. Freimann Professor of Computer Science and Engineering, University of Notre Dame

DEC

01

2023

William Gould Dow Distinguished Lecture

Why do large AI models display new and complex skills?

Sanjeev Arora, Charles C. Fitzmorris Professor of Computer Science, Princeton University

Generative AI Tutorials | Making Generative AI Better for You: Fine-tuning and Experimentation for Custom Research Solutions

Bridging AI, Data, and Epidemiological Models

Alexander Rodríguez, Assistant Professor, Computer Science and Engineering, University of Michigan

Automatically Capturing and Reflecting Latent Label Dependencies in Machine Learning Models

Jay-Yoon Lee, Assistant Professor, Graduate School of Data Science, Seoul National University

Dissertation Defense

Human-Centered Natural Language Processing for Countering Misinformation

Human-Centered Artificial Intelligence at Howard University

Gloria Washington, Associate Professor, Computer Science, Howard University

Other Event | MIDAS Seminar

MIDAS Annual Data Science & AI Summit 2023

Other Event | MIDAS Seminar

MIDAS Annual Data Science & AI Summit 2023

Interaction Design Challenges for AI in Medicine

Maia Jacobs, Assistant Professor, Computer Science, Northwestern University

Dissertation Defense

Aligning Objectives of Machine Learning with Clinical Care

20th Annual CSE Graduate Honors Competition

Generative AI Tutorials | Integrating Generative Image AI into Your Research Workflow

Unifying the Cognitive Sciences

Karl Friston, Professor of Imaging Neuroscience

Learning Syntactic Structures from Visually Grounded Text and Speech

Freda Shi, Incoming Assistant Professor, David R. Cheriton School of Computer Science, University of Waterloo

MIDAS Seminar | Symposium

MIDAS mini-symposium | AI-driven Research Workflows

Recent Advancements in Quantization, Pruning and Knowledge Distillation

Gaowen Liu, Research Scientist, Cisco Systems

Generative AI Tutorials | Code Smarter, Not Harder: Harnessing Generative AI for Research Programming Efficiency

Michigan AI Symposium | Responsible AI

Task Planning with Large Language Models

Lajanugen Logeswaran, Research Scientist, LG AI Research

Friday Night AI: “Generative AI for Teaching and Learning: An Opportunity or a Threat?”

Moderator: Rada Mihalcea, Director,
Michigan Artificial Intelligence Laboratory

Panelist: Kevyn Collins-Thompson, Director,
Masters in Applied Data Science Program

Panelist: Zara Burzo, Student,
Skyline High School

Women in Computing

AGI is Coming… Is HCI Ready?

Meredith Ringel Morris, Director and Principal Scientist for Human-AI Interaction Research, Google DeepMind

Sidestepping the Black-Box: A New Paradigm for Explainable AI

Amulya Yadav, PNC Technologies Career Development Assistant Professor, College of Information Sciences and Technology, Penn State University

Toward The Next-Generation Health and Well-being: The Synergy of Behavior Modeling and Intervention

Dr. Orson Xu, Postdoc, MIT EECS

Generative AI Tutorials | Writing, Planning and Literature Review: Enhancing Professional Productivity with Generative AI

Answering Why Questions about Narrative Text

Raymond J. Mooney, Professor of Computer Science, University of Texas at Austin

Learning to Re-create Reality in 3D

Jeong Joon Park, Assistant Professor, Computer Science and Engineering, University of Michigan

AI for Medical Imaging

Postcards from the Future

Kurt Skifstad, Director of the Center for Entrepreneurship , University of Michigan

MIDAS Seminar | Symposium

MIDAS mini-symposium | Generative AI: Diffusion Models for Scientific Machine Learning

NSF Priorities and Opportunities for Data Science and AI

Dr. Pamela Davis-Kean, Program Director, Developmental Science Program of the NSF SBE Directorate

Natural Language Processing Seminar

From NLP to socially and personally contextualized understanding | Modeling empathy in NLP for Support-Oriented Interactions

Lucie Flek , Computer Science Professor ,
University of Bonn

Allison Lahnala, Visiting Scholar in SBU CS, HLAB,
University of Bonn

Measuring and Improving the Internal Conceptual Representations of Deep Learning

Ramakrishna Vedantam, Independent Researcher, New York University

An Under the Hood Look at Generative AI: Potentials and Pitfalls | Generative AI Coast-to-Coast Series

David Evan Harris, Senior Research Fellow,
International Computer Science Institute

Rada Mihalcea, Janice M Jenkins Collegiate Professor of Electrical Engineering and Computer Science; Director, Michigan Artificial Intelligence Laboratory; ,
University of Michigan

Sarah Stone: Moderator, Executive Director, eScience Institute,
University of Washington

Dissertation Defense

Analysis of Situated Interactive Non-Expert Instruction of A Hierarchical Task to a Learning Robot

Conversations on Policy, Ethics, and Generative AI | Generative AI Coast-to-Coast Series

Marjory Blumenthal

Merve Hickok, President, Center for AI & Digital Policy,
School of Information – University of Michigan

Jing Liu : Moderator, Executive Director, Michigan Institute for Data Science,
University of Michigan

Generative AI in the Lab | Generative AI Coast-to-Coast Series

Xia Ning, Professor, Biomedical Informatics, Computer Science and Engineering,
The Ohio State University

Arlei Silva, Assistant Professor of Computer Science,
Rice University

Angela Wilkins: Moderator, Executive Director, Ken Kennedy Institute,
Rice University

Dissertation Defense

Multiagent Learning by Iterative Refinement of Game Models

Dissertation Defense

Neural Language Generation for Content Adaptation: Explainable, Efficient Low-Resource Text Simplification and Evaluation

Cristina Garbacea

Dissertation Defense

Efficient Game Solving through Transfer Learning

Generative AI for Research – a Faculty Workshop (Part II)

Generative AI for Research – a Faculty Workshop (Part I)

Effective and Efficient Knowledge-Intensive NLP

Meng Jiang, Associate Professor of Computer Science and Engineering, University of Notre Dame

Dissertation Defense

Discovering Structured Representations for Reinforcement Learning

Dissertation Defense

Understanding, Modeling and Leveraging Temporal Change in Mental Health

Dissertation Defense

Towards an Algorithmic Account of Phonological Rules and Representations

CSE Seminar | Division Event

Human-Centered AI Transparency: Lessons Learned and Open Questions in the Age of LLMs. Lecture to be followed by panel discussion.

Q. Vera Liao, Principal Researcher, Microsoft Research Montréal

Dissertation Defense

Cognitive Modeling of Aggregate and Individual Performance on the Remote Associates Test

NSF Priorities and Opportunities for Data Science and AI

Dr. Alfred Hero, Program Director in the NSF CISE Directorate, and the John H. Holland Distinguished University Professor of Electrical Engineering and Computer Science and R. Jamison and Betty Williams Professor of Engineering, University of Michigan

Dissertation Defense

Where are the Humans in Human-AI Interaction: The Missing Human-Centered Perspective on Interpretability Tools for Machine Learning

Harmanpreet Kaur

From Theory to Practice: Building Ethical and Trustworthy AI

Friday Night AI | ChatGPT: What is it and what are its abilities and limitations?

Preparing for Your Industrial Job Search

Lei Li, Director of Digital Innovation in P&G’s Feminine Care Business

Pete Ellingson, R&D Director and Open Innovation Manager in P&G’s Corporate R&D function

Hua Hu, Director, Principal Scientist in P&G’s Fabric and Home Care R&D focusing on M&S and DI to design devices, equipment, and processes across FHC

Dissertation Defense

Implicit Design Choices and Their Impact on Emotion Recognition Model Development and Evaluation

Mimansa Jaiswal

“The Future of Fintech” Conference

Data and AI in Society Forum Series: Generative AI, Composition, and Creativity

NLP @ Michigan Day

Implementing AI in Health

Responsible Data Science and AI mini-symposium

Exploiting Domain Knowledge and Modular Semantics in Deep Learning for Natural Language Comprehension and Grounding

Parisa Kordjamshidi, Assistant Professor, Michigan State University

AI in Science & Engineering Day

A Defense of (Empirical) Neural Tangent Kernels

Danica Sutherland, Assistant Professor, University of British Columbia

Natural Language Processing Seminar | Women in Computing

Systematic Study of 75K Models on Hugging Face

Nazneen Fatema Rajani, Research Lead, Hugging Face

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

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

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

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

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

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

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

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

Dissertation Defense

Theory of Mind in Collaborative Tasks between Embodied Agents

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

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

Dissertation Defense

Towards Generalizable Neural Networks for Graph Applications

Michigan AI Symposium – AI & Accessibility

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

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

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

Rafael Frongillo, Assistant Professor, University of Colorado Boulder

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

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

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

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

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

Dissertation Defense

A Cognitive Architecture Realization of Event Cognition Capabilities

Dissertation Defense

Towards Human Action Understanding in Social Media Videos using Multimodal Models

Dissertation Defense

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

Dissertation Defense

Learning General and Correct Procedural Knowledge in a Cognitive Architecture

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

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

Dissertation Defense

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

Dissertation Defense

The Value Equivalence Principle for Model-Based Reinforcement Learning

Christopher Grimm

Dissertation Defense

On Addressing the Problem of Discovery for Reinforcement Learning

Dissertation Defense

Augmenting Structure with Text for Improved Graph Learning

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

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

Dissertation Defense

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

Dissertation Defense

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

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

Vera Liao, Principal Researcher, Microsoft Research Montréal

Algorithmic Gaussianization in Machine Learning

Michał Dereziński, Assistant Professor, U-M CSE

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

Joshua Welch, Assistant Professor, Umich Computational Medicine and Bioinformatics

Precision Health Seminar

Webinar: What Clinicians Need To Know when Using Artificial Intelligence and Machine Learning–Driven Technologies in Medical Decision Making

Expanding the frontiers of AI – Applications in Environmental Conservation and Health

Ciira wa Maina , Senior Lecturer , Dedan Kimathi University of Technology (Kenya)

Interactive Systems Seminar

Improving Argumentation Skill Learning Through Artificial Intelligence

Thiemo Wambsganss, Research Associate, Institute of Information Systems at the University of St. Gallen (Switzerland)

Friday Night AI – “AI in Advanced Air Mobility: Drones and More“

Prof. Ella Atkins

Student Event | Division Event

18th Annual CSE Graduate Honors Competition

Neural Architecture

Matias del Campo, Associate Professor, University of Michigan

Approaches to Grounded Language Acquisition from Human Interaction

Cynthia Matuszek, Assistant Professor, University of Maryland, Baltimore County

Inference and the “Racial Drama” of AI

Dr. Ramon Amaro, Lecturer (Assistant Professor equiv.) in Art & Visual Cultures of the Global South, University College London (UCL)

AI Seminar | Natural Language Processing Seminar

Knowledge-enhanced Text Generation: The Curious Case of Figurative Language and Argumentation

Smaranda Muresan , Research Scientist and Adjunct Associate Professor, Columbia Univ.

The facebook files at training time: incentivizing discrimination in machine learning

Benjamin Fish, Assistant Professor, U-M CSE

AI Seminar | Natural Language Processing Seminar

Continual Language Learning through Collaborative Interaction with Users

Yoav Artzi , Associate Professor, Cornell Tech and Computer Science Department at Cornell University

OCT

01

2021

Distinguished Lecture

Natural Language Processing with People, for People, by People

Rada Mihalcea, Janice M. Jenkins Collegiate Professor of Computer Science and Engineering, University of Michigan

Machine Learning and Causality: Building Efficient, Reliable Models for Decision-Making

Maggie Makar, Presidential Postdoctoral Fellow, U-M CSE

Racial Disparities in Legal Enforcement: The promises (and perils) of AI?

Prof. Nicholas Camp and Prof. David Jurgens

Dissertation Defense

A Comprehensive Computational Model of PRIMs Theory for Task-Independent Procedural Learning

Virtual e-HAIL Launch Event

AI Seminar | Natural Language Processing Seminar

Empathy in peer-to-peer mental health support

Tim Althoff , Assistant Professor, Paul G. Allen School of Computer Science & Engineering at the University of Washington

Dissertation Defense

Sample efficient learning and generalization with text representations

Lajanugen Logeswaran

Dissertation Defense

On Learning Neural End-to-End Goal-Oriented Dialog Systems

Janarthanan Rajendran

Toward Broad and Deep Language Processing for Intelligent Systems

Marjorie McShane, Associate Professor, Cognitive Science Department Co-Director LEIA, Rensselaer Polytechnic Institute

Dissertation Defense

Improving the Generalization Performance of Deep Learning Models Applied to Clinical Time Series by Addressing Task Specific Structure

Cultural/Diversity

That Ain’t Right: AI Mistakes and Black Lives

Chad Jenkins, Professor, Electrical Engineering and Computer Science, University of Michigan

AI’s Impact on Research

Chad Jenkins, Oren Etzioni, Dan Huttenlocher, Maria Klawe

Dissertation Defense

Expanding Task Diversity in Explanation-Based Interactive Task Learning

Dissertation Defense

Computational Modeling and Design of Financial Markets: Towards Manipulation-Resistant and Expressive Markets

Dissertation Defense

Leveraging Longitudinal Data for Personalized Prediction and Word Representations

17th Annual CSE GRADUATE HONORS COMPETITION

AI Seminar | Computer Vision Seminar

Jitendra Malik | Where Do We Come From, What Are We Doing, Where Are We Going

Jitendra Malik, Arthur J. Chick Professor, Dept. of Electrical Engg & Computer Science, UC Berkeley

Michigan AI Symposium – AI & Health

AI Seminar | Women in Computing | CSE Seminar

Danielle Belgrave | ML for Personalized Mental Healthcare

Danielle Belgrave, Machine Learning Researcher, Health Intelligence Group, Microsoft Research

AI Seminar | Natural Language Processing Seminar | Women in Computing

Pascale Fung | Deeper Conversational AI

Pascale Fung, Professor of Electronic & Computer Engineering, and Computer Science & Engineering, Hong Kong University of Science and Technology

Friday Night AI: “AI to Address Misinformation and Fake News”

Semantic Scholar, NLP, and the Fight Against COVID-19

Oren Etzioni, Chief Executive Officer at Allen Institute for AI

Dissertation Defense

Models and Algorithms for Human Action Understanding

Jonathan Stroud

Dissertation Defense

Machine Learning for Physiological Time Series: Representing and Controlling Blood Glucose for Diabetes Management

Dissertation Defense

Understanding Word Embedding Stability Across Languages and Applications

Dissertation Defense

Unsupervised Structural Embedding Methods for Efficient Collective Network Mining

Dissertation Defense

Learning to Generate 3D Training Data

Dissertation Defense

Robust Deep Learning in the Open World with Lifelong Learning and Representation Learning

Dissertation Defense

Learning Single-Image 3D from the Internet

Dissertation Defense

Machine Learning in Adversarial Environments

Dissertation Defense

Automatic Designs in Deep Neural Networks

Friday Night AI: “AI & COVID-19”

Learning sight from sound

Andrew Owens, Assistant Professor in Electrical and Computer Engineering, University of Michigan

AI Seminar | Dissertation Defense

Efficient Belief Propagation for Perception and Manipulation in Clutter

Karthik Desingh

Dissertation Defense

Efficiently Finding Approximately-Optimal Queries for Improving Policies and Guaranteeing Safety

Dissertation Defense

Making and Keeping Probabilistic Commitments for Trustworthy Multiagent Coordination

Understanding and Generating Natural Language of Complex Discourse

Lu Wang, Assistant Professor, Northeastern University

Faculty Candidate Seminar

Towards Structured-Infused and Disentangled Representation Learning

Xuezhe Ma, Ph.D. Candidate, Carnegie Mellon University

Faculty Candidate Seminar

Language Grounding with Robots

Jesse Thomason, Postdoc, University of Washington

Faculty Candidate Seminar

Designing Collective Behavior in Robotic Swarms

Justin Werfel, Sr. Research Scientist, Harvard University

Dissertation Defense

Robust Scene Estimation for Goal-directed Robotic Manipulation in Unstructured Environments

Faculty Candidate Seminar

Scalability and Methods of Deep Learning from an Optimization Viewpoint

Kenji Kawaguchi, Ph.D. Candidate, MIT

Faculty Candidate Seminar

The Value Alignment Problem in Artificial Intelligence

Dylan Hadfield-Menell, Ph.D. Candidate, University of California, Berkeley

Faculty Candidate Seminar

Machine Learning for Accelerating Scientific Discovery

Aditya Grover, Ph.D. Candidate, Stanford University

Distortion-based Analysis of Voting: Limited Communication, and an Analysis Framework based on LP Duality and Flows

David Kempe , Professor, Computer Science, University of Southern California

Faculty Candidate Seminar

New Approaches to Real-Time Robotic Mapping and Information Gathering

Maani Ghaffari Jadidi, Assistant Research Scientist, University of Michigan

Faculty Candidate Seminar

Efficient Machine Learning via Data Summarization

Baharan Mirzasoleiman, Postdoc, Stanford University

NumPy: A look at the past, present, and future of array computation

Ross Barnowski, Postdoctoral Scholar

Faculty Candidate Seminar

Abstraction in Reinforcement Learning

David Abel, Ph.D. Candidate, Brown University

Faculty Candidate Seminar

Improving Team Performance and Dynamics within Human-Robot Teams

Sarah Sebo, Ph.D. Candidate, Yale University

Dissertation Defense

Agent-based Models for Analyzing Strategic Adaptations to Government Regulation

Faculty Candidate Seminar

Distributive Justice for Machine Learning: An Interdisciplinary Perspective on Defining, Measuring, and Remedying Algorithmic Unfairness

Hoda Heidari, Postdoc, Cornell University

Language Grounding in Situated Communication

Joyce Chai, Professor, Electrical Engineering and Computer Science, University of Michigan

Faculty Candidate Seminar

Foundations of Intelligent Systems with (Deep) Function Approximators

Simon Du, Postdoc, Institute for Advanced Study

Software Engineering Intelligence

Marouane Kessentini, Associate Professor, Computer and Information Science , University of Michigan – Dearborn

Applications of AI for Accessibility

Robin Brewer, Assistant Professor – School of Information and Computer Science and Engineering , University of Michigan

Friday Night AI – Teaching Robots through Natural Interactions

Prof. John Laird and Prof. Joyce Chai

From Recognition to Reasoning

Justin Johnson, Assistant Professor, Computer Science and Engineering, University of Michigan

Joint Models for Social, Behavioral and Textual Information

Dan Goldwasser, Assistant Professor in Computer Science, Purdue University

Toward Human-Like AI: Cognitive Architecture, Common Model of Cognition & Interactive Task Learning

John E. Laird, John L. Tishman Professor of Engineering, University of Michigan

Other Event | Symposium

Michigan AI Symposium – “AI for Society”

Prof. Doina Precup

Friends Don’t Let Friends Deploy Black-Box Models: The Importance of Intelligibility in Machine Learning for HealthCare

Rich Caruana, Senior Principal Researcher, Microsoft Research

Computational exercises of creative language

Carlo Strapparava, Senior Researcher, Fondazione Bruno Kessler – Istituto per la ricerca scientifica e Tecnologica

Friday Night AI – AI, Personalized Technology, and Mental Health When

Prof. Emily Mower Provost and Prof. Melvin Mcinnis

Game Playing Meets Game Theory: Strategic Learning from Simulated Play

Michael P. Wellman, Professor, Computer Science and Engineering, University of Michigan

Dissertation Defense

Multimodal Character Representation for Visual Story Understanding

Dissertation Defense

Learning Hierarchical Compositional Task Definitions through Online Situated Interactive Language Instruction

Dissertation Defense

Demographic-Aware Natural Language Processing

Aparna Garimella

Dissertation Defense

Addressing Variability in Speech when Recognizing Emotion and Mood In-the-Wild

NOV

13

2018

Distinguished Lecture

From Reinforcement Learning to Artificial Intelligence

Satinder Singh Baveja, Toyota Professor of Artificial Intelligence

MAY

05

2016

Distinguished Lecture

Professorship Lecture and Ceremony: Autonomous Agents: Threat or Menace?

Michael P. Wellman, Lynn A. Conway Collegiate Professor of Computer Science and Engineering

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