Upcoming Events

Excellence at scale: Computer Science & Engineering at big public universities

Designing Trustworthy Systems

Dejiao Zhang Seminar

MIDAS Symposium | The AI in Science and Engineering annual symposium

MIDAS Symposium | The AI in Science and Engineering annual symposium

MIDAS Symposium | The AI in Science and Engineering annual symposium

MIDAS Symposium | The AI in Science and Engineering annual symposium

Dejiao Zhang Seminar

Designing Trustworthy Systems

Excellence at scale: Computer Science & Engineering at big public universities

Reflections on my Research, Teaching, and Leading: Energy-Efficient, Reliable & Fun Computing Across the Hardware/Software Stack

Rewriting Conventional Societal Narratives with Data and AI

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

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

Neurons to Numerical Analysis: Applications of machine learning in scientific computing

Data-driven Solutions for Blood Glucose Management

Solving Pattern Identification CAPTCHAs

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

Why do large AI models display new and complex skills?

The promise and pitfalls of AI. Artificial Intelligence: Do you trust it?

What Can Cryptography Do For Decentralized Mechanism Design?

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

Firm Foundations for Private Machine Learning and Statistics

Bridging AI, Data, and Epidemiological Models

Batteries Beyond Batteries

A Complete Characterization of Game-Theoretic Fair Coin Toss

Towards Human-Centered AI Alignment via Interaction: Human-in-the-loop AI Explanation, Evaluation, and Feedback

Automatically Capturing and Reflecting Latent Label Dependencies in Machine Learning Models

Human-Centered Natural Language Processing for Countering Misinformation

Human-Centered Artificial Intelligence at Howard University

MIDAS Annual Data Science & AI Summit 2023

Teaching Faculty Candidate Seminar: Introduction to Hash Tables

MIDAS Annual Data Science & AI Summit 2023

Diversity, Equity, and (Artificial) Intelligence

Interaction Design Challenges for AI in Medicine

Aligning Objectives of Machine Learning with Clinical Care

20th Annual CSE Graduate Honors Competition

Improving Web Automation Tools through UI Context and Demonstration

Deeparnab Chakrabarty: Parallel Submodular Function Minimization

How to become an EECS IA

Science in the Service of Democracy

On Improving Robustness of Deep Neural Networks for Computer Vision

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

CSE DEI Discussions: Perspectives from Research and Experience

Unifying the Cognitive Sciences

Learning Syntactic Structures from Visually Grounded Text and Speech

Victor Reis: Optimal Online Discrepancy Minimization

MIDAS mini-symposium | AI-driven Research Workflows

Imaginative Vision Language Models

Recent Advancements in Quantization, Pruning and Knowledge Distillation

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

Julia Language Meetup

Michigan AI Symposium | Responsible AI

Task Planning with Large Language Models

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

Lars Rohwedder: Simpler and stronger approximation algorithms for flow time scheduling

Midwest Programming Languages Summit

AGI is Coming… Is HCI Ready?

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

CSE UAO Transfer Student Reboot

Towards Collaborative Autonomy

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

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

Answering Why Questions about Narrative Text

Learning to Re-create Reality in 3D

AI for Medical Imaging

Overcoming Barriers to Information Exchange on the Web

Transforming Hollywood Visual Effects with Graphics and Vision

Why a Privacy First Approach to Technology Policy is better than a Censorship First Approach

Senior thesis defense: Ravi Bhatt

Investigating the VPN Ecosystem through the lens of Security, Privacy, and Usability

Postcards from the Future

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

CSE UAO New Student Welcome

NSF Priorities and Opportunities for Data Science and AI

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

Measuring and Improving the Internal Conceptual Representations of Deep Learning

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

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

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

Multiagent Learning by Iterative Refinement of Game Models

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

Mitigating Microarchitectural Vulnerabilities to Improve Cloud Security and Reliability

Simulation-based Approaches for Evaluating Information Elicitation and Information Aggregation Mechanisms

Efficient Game Solving through Transfer Learning

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

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

Efficient Data Movement for Accelerating Data-Intensive Applications

Social Reference Processing with Collaborative Human-AI Systems

Effective and Efficient Knowledge-Intensive NLP

Applying Software-Based Side-Channels to Hardware Vulnerabilities

Discovering Structured Representations for Reinforcement Learning

Understanding, Modeling and Leveraging Temporal Change in Mental Health

Minimalist Systems for Pervasive Machine Learning

Towards an Algorithmic Account of Phonological Rules and Representations

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

EECS Juneteenth Celebration: Tech Empowering Our Communities

Achieving Security and Privacy via Encrypted Architectures

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

Automating the Detection and Correction of Failures in Modern Persistent Memory Systems

Rescuing Data Center Processors

NSF Priorities and Opportunities for Data Science and AI

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

SafeBet: A Simple, Secure and Fast Solution for Spectre and Meltdown

From Theory to Practice: Building Ethical and Trustworthy AI

A Statistical Approach to Stochastic Computing Design and Analysis

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

Preparing for Your Industrial Job Search

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

Overcoming the Performance and Security Challenges of Building Highly-Distributed Fault-Tolerant Embedded Systems

Accelerated Systems for Portable DNA Sequencing

“The Future of Fintech” Conference

Perceiving Humans in 4D

Characterizing Laser Signal Injection and its Impact on the Security of Cyber-Physical Systems

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

Wireless Sensing for Ubiquitous Internet of Things

NLP @ Michigan Day

(Un)trustworthy Machine Learning: How to Balance Security, Accuracy, and Privacy

Implementing AI in Health

Zihan Tan: Almost-Optimal Sublinear Additive Spanners

Distance-Estimation in Modern Graphs: Algorithms and Impossibility

Programming Distributed Systems

A Hybrid Computing Ecosystem For Practical Quantum Advantage

Responsible Data Science and AI mini-symposium

Persistent Memory Programming on Conventional Hardware

EECS 280 Presents: Journey Through CS Panel

EECS 280 Presents: Journey Through CS – Women’s Panel

Robust IoT Communication and Sensing with Extreme Efficiency

Learning to Re-create Reality in 3D

How To Be An EECS IA

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

Learning 3D Modeling and Simulation From and For the Real World

AI in Science & Engineering Day

Protecting User Privacy by Helping Developers

Expansion, Codes and Optimization at the Frontiers

The Design of a General-Purpose Distributed Execution System

AI for Public Health: Epidemic Forecasting Through a Data-Centric Lens

Crafting Machine Learning Defenses against Adversaries

Intelligent Mobile Systems for Equitable Healthcare

Or Zamir: Algorithmic Applications of Hypergraph and Partition Containers

A Defense of (Empirical) Neural Tangent Kernels

Quantum and Cryptography: Challenges and Opportunities

Practical Memory Disaggregation

Privacy-Preserving Accountability Online

Sasha Golovnev: Polynomial formulations as a barrier for reduction-based hardness proofs

Building Robust Systems Through System-Memory Co-Design

Pseudorandomness and Space Complexity: New Methods, New Insights, and New Milestones

Analyzing and Securing Software via Robust and Generalizable Learning

Empowering Users on Social Media for Better Content Credibility

Coffee with the Co-Director

Systematic Study of 75K Models on Hugging Face

Exploiting App Differences for Security Analysis of Multi-Geo Mobile Ecosystems

Designing Provably Performant Networked Systems

Different Avenues in Tech

Enabling Compositional Generalization of AI Systems

Reinforcement Learning from Static Datasets: Algorithms, Analysis and Applications

Min Jae Song: Continuous LWE

Manik Dhar: ℓ∞ linear hashing and two-sided Kakeya bounds

Looking Past the Abstractions: Characterizing Information Flow in Real-World Systems

Interactive and Grounded Language Learning

Building Sustainable Computational Materials

Software and Architecture for Reliable Quantum Computing

Socially Responsible and Factual Reasoning for Equitable AI Systems

Self-Supervised Reinforcement Learning

The Gale-Shapley Algorithm

Failing Forward (Resilience)

Relational Affordance Learning for Robot Manipulation

Rethinking System Design for Expressive Cryptography

Confounding-Robust Policy Learning under Sequentially Exogenous Unobserved Confounders

Understanding Recursion Beyond Simple Problems

Sophie Huiberts: Smoothed analysis of the simplex method

DEI Speaker Series – How the Stock Market is a Cryptography Problem (and no, this isn’t about cryptocurrency)

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

Snigdha Chaturvedi: Modeling People in Story Generation

Fire! Sensing Smoke Across the US using Multiple Linear Regression

Steerable AI-powered Art-making Tools

Quantum Computing Systems: Challenges and Opportunities

Liren Shan: Higher-Order Cheeger Inequality for Partitioning with Buffers

Binary Search Trees

Programmable In-network Security

Secure and Safe Autonomous Driving: an Adversary’s Perspective

Human-centered computing for healthcare and education: From robust machine intelligence to trustworthy human-technology partnership

Enabling Practical Deployments of Privacy-Preserving Technologies

Database Concepts

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

Sequential Decision Making for Large Scale Machine Learning

DNA Punch-Cards: Implementations and Coding-Theoretic Questions

How to Make the Most of CSE on Campus

Efficient and Dependable Deep Learning Systems

Data, the Fundamental Particle of Economics

CS Undergrad Honors Thesis: Meshing Parametric Surfaces to Follow Lines of Curvature

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

William Hoza: Recent Progress on Derandomizing Space-Bounded Computation

Teaching Demonstration (Hashtables)

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

Democratizing Computer Hardware Design

Theory of Mind in Collaborative Tasks between Embodied Agents

Introduction to Dynamic Programming

Jessica Sorrell: Replicability in Learning

First Look at Binary Search Trees

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

Yang Liu: Lessons on Algorithmic Graph Theory from Maxflow

19th Annual CSE Honors Competition

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

Towards Generalizable Neural Networks for Graph Applications

Michigan AI Symposium – AI & Accessibility

Aaron Bernstein: Negative-Weight Single-Source Shortest Paths in Near-linear Time

How To Be An EECS IA – Panel

Artificial Intelligence and Human Values, U-M Obert C. Tanner Lecture

The End of Testing? The Promise of Verification-Driven Software Engineering

Acceleration Techniques of Sparse Linear Algebra on Emerging Architectures

#TuesdayTalks – 1st Gen Engin

Sorrachai Yingchareonthawornchai: Deterministic Small Vertex Connectivity in Almost Linear Time

Vincent Cohen-Addad: Sublinear time algorithms for Euclidean clustering coresets and correlation clustering

What’s new in CSE? An open forum for undergrads with the Chair

Haotian Jiang: Resolving Matrix Spencer Conjecture Up to Polylogarithmic Rank

Private frequency estimation via projective geometry (and a little bit on K-12 math education)

Building User-Driven Edge Devices

Undergraduate Research Panel

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

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

Prediction, Causality and the Great In-between

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

#TuesdayTalks – RENEW-CS

Zeyu Guo: Fast Multivariate Multipoint Evaluation over All Finite Fields

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

#TuesdaysTalks – Multidisciplinary Design Program

Optimizing Emerging Graph Applications Using Hardware-Software Co-Design

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

A conversation with Aftin Ross

Fernando Granha Jeronimo: Almost Ramanujan Expanders from Arbitrary Expanders via Operator Amplification

The Story Behind Intel Virtualization Technology (VT)

#TuesdayTalks – Engineering Honors Program

e-HAIL Symposium: Artificial Intelligence and Health

Resume & Interview Workshop

Efficient, Reconfigurable, and QoS-Aware Systems for Deep Neural Networks

Compiler Support for Robust and High Performance Autonomous Driving Environments

OUTdoors @ CSE

#TuesdayTalks – International Programs in Engineering

Securing Connected and Automated Vehicle through Proactive Vulnerability Analysis and Security Enhancement

#TuesdayTalks – Engineering Career Resource Center

In-SRAM Computing for Neural Network Acceleration

LEAP 10 Years Post-Ph.D.: Lessons, Experiences, and Action Planning

#TuesdayTalks: CSE GPO

#TuesdayTalks: CSE UAO

Automating the Verification of Distributed Systems

Bringing Practical Security to Vehicles

A Cognitive Architecture Realization of Event Cognition Capabilities

Efficient utilization of heterogeneous compute and memory systems

Towards Human Action Understanding in Social Media Videos using Multimodal Models

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

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“

Integrating visualization grammars with the task language of data analysts

Toward Practical Application-Aware Big Data Systems

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

EECS Juneteenth Celebration

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

Improving Application Connectivity with Network-conscious Systems

Assessment of Privacy Risks in Mobile and Web Applications

Haotian Jiang: Minimizing Convex Functions with Integral/Rational Minimizers

Application-Aware Scheduling in Deep Learning Software Stacks

Dynamic Connectivity, Hopsets, and Byzantine Agreement

Faster, smarter, and greener systems for data-center scale AI

Advancing Digital Safety for High-Risk Communities

The Value Equivalence Principle for Model-Based Reinforcement Learning

Learning Mid-Level Vision from Natural Data

Mitali Bafna: Playing Unique Games on Certifiable Small-Set Expanders and High-Dimensional Expanders

Parth Mittal: Brooks’ Theorem in Graph Streams

Scalable and Provably Robust Algorithms for Machine Learning

Responsible Design of Information Access Systems

Learning to Generate Data by Estimating Gradients of the Data Distribution

Huacheng Yu: TBD

Beyond ISAs: Striking a Balance between Generality and Specialization for AI/ML

Context-Aware Detection and Resolution of Data Anomalies for Semi-Autonomous Cyber-Physical Systems

On Addressing the Problem of Discovery for Reinforcement Learning

Fighting Vulnerabilities With Process, Insight, and Automation

Augmenting Structure with Text for Improved Graph Learning

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

Max Hopkins: Hypercontractivity on High Dimensional Expanders: a Local-to-Global Approach for Higher Moments

Unleashing the Potential of In-Network Computing

Algorithms: A Random Walk

Generalizing the ISA to the ILA: A Software/Hardware Interface for Accelerator-rich Platforms

Towards a Foundation for Reinforcement Learning

Ryan Williams: Constructive Separations and Their Consequences

Machine Learning Powered Query Optimization

Different Avenues in Tech

Optimizing CPU Efficiency and Tail Latency in Datacenters

Formal Verification of a Concurrent File System

Predictable Performance and Low Cost for Geo-Distributed Applications

CSE Graduate Town Hall

Santhoshini Velusamy: Approximating CSPs in the streaming setting

Secure Multi-Party Computation: from Theory to Practice

Efficient and Accurate Systems for Querying Unstructured Data

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

Putting Your Database on Autopilot: Self-driving Database Management Systems

Translating AI to Impact: Uncertainty and Human-agent Interactions in Multi-agent Systems for Public Health and Conservation

Robert Robere: Pseudorandom Self-Reductions for NP-Complete Problems

Unlocking the Next Level of Dependable Cloud Systems

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

Advancing Health Equity and Access using Responsible AI

CSE Undergraduate Town Hall

From Specialists to Generalists: Inductive Biases of Deep Learning for Higher Level Cognition

Grounding Language by Seeing, Hearing, and Interacting

Deeksha Adil: Fast Algorithms for l_p-Regression and Other Problems

Consistency and Performance in Distributed Storage Systems

How To Be An EECS IA

Towards Scalable Representation Learning for Visual Recognition

Verifiable Machine Learning for Security

Co-designing Distributed Systems and Storage Stacks for Improved Reliability

Michael Dinitz: Faster Matchings via Learned Duals

Processor Microarchitecture Security

Towards Free, Open, and Ubiquitous Hardware Design

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

The Complexity of Near-Term Quantum Computers

Learning to address novel situations through human-robot collaboration

Empowering People to Have Secure and Private Interactions with Digital Technologies

Ce Jin: Fast Low-Space Algorithms for Subset Sum

Introduction to Data Science

Matching in Evolving Environments

Study Tips and Social with GEECS

Architecting Emerging Quantum Technologies

Advancing Sound Accessibility

Theoretical Foundations for Emerging Multiprocessor Hardware

Quantum Computation and Cryptography: a changing landscape

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

Algorithmic Gaussianization in Machine Learning

Computing Using Time

In-Memory Acceleration for General Data Parallel Applications

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

Arun Jambulapati: Ultrasparse Ultrasparsifiers and Faster Laplacian System Solvers

Resume & Interview Workshop

Teaching Faculty Candidate Seminar: Gerald Soosai Raj

Improving Mobile Internet Performance with Cross-Device Network Transport and Cross-Layer Application Adaptation

Vera Traub: Better-Than-2 Approximations for Weighted Tree Augmentation

Teaching Faculty Candidate Seminar–Gina Bai

Teaching Faculty Candidate Seminar–Elba Garza

Portable Laser Cutting

Beyond the First Portrait of a Black Hole

A Characterization of Approximability for Biased CSPs

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

Teaching Faculty Candidate Seminar: Alan Weide

Teaching Faculty Candidate Seminar: Saquib Razak

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

Race-Aware Algorithms: Fairness, Nondiscrimination, and Affirmative Action

APMF < APSP? Gomory-Hu Tree for Unweighted Graphs in Almost-Quadratic Time

The Demikernel Datapath Architecture for Microsecond-scale Datacenter Systems

Lecture by Yong Chen

Towards Usability, Transparency, and Trust for Data-Driven Discovery

Linear Probing Revisited: Tombstones Mark the Demise of Primary Clustering

Improving Argumentation Skill Learning Through Artificial Intelligence

Arnold Filtser: Clan Embeddings into Trees, and Low Treewidth Graphs

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

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

Optimization-friendly generic mechanisms without money.

18th Annual CSE Graduate Honors Competition

Virtual Campus Visit with NSF CISE AD Dr. Margaret Martonosi

Neural Architecture

Breaking the 2^n barrier for 5-coloring and 6-coloring

Provably Efficient Reinforcement Learning under Linear Model Structures: From Tabular to Feature based Exploration

Approaches to Grounded Language Acquisition from Human Interaction

Towards robust, interpretable, and fair social and public health interventions

Graph Summarization Meets Representation Learning for Scalable Feature Summarization: Methods & Applications

Fully Dynamic Electrical Flows: Sparse Maxflow Faster Than Goldberg-Rao

Inference and the “Racial Drama” of AI

Explainability for Neural Text Classifiers

The Challenge of Autonomy

Building Cryptography for Big Data

On the Complexity of Consensus-Halving and Necklace Splitting

Accelerated Systems for Pattern Matching

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

Unleashing African Talent in the Era of the 4th Industrial Revolution

Accelerating Sampling Algorithms via Domain Sparsification

From Finite to Infinite: Scalable Automatic Verification of Hardware Designs and Distributed Protocols

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

Lecture by Mahlet (Milly) Zimeta

Towards Building Internet of Vehicles

The Complexity of Gradient Descent: CLS = PPAD∩PLS

k-Forrelation Optimally Separates Quantum and Classical Query Complexity

Continual Language Learning through Collaborative Interaction with Users

How To Be An EECS IA (virtual event)

Supervised Machine Learning: Applications, Opportunities, and Challenges in Banking with a Focus on Interpretability

Addressing challenges in real-time perception processing for automated driving

Censored Planet Webinar

Natural Language Processing with People, for People, by People

Negative probabilities: what are they for?

How Data Science, Learning Health Systems, and Precision Health Can Enhance Clinical Practice

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

AI for Sustainable Development

Homecoming lecture: Building successful technology products, companies, and cultures in a cloud world

The zero-rate threshold of adversarial bit-deletions is less than 1/2

Picture A Scientist: Watch Party and Panel

DEI Lecture Series: Stereotyping, implicit bias and the experiences of women and underrepresented minorities in STEM

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

Making the Most of EECS on Campus

Reversing Color Coding

Compiler Auto-tuning For Code Optimization

Data-Centric Execution Inspection

CSE New MS Student Orientation

CSE New PhD Student Orientation

Optimizing Spare Linear Algebra on Reconfigurable Architecture

Provably Efficient Reinforcement Learning: From Single-Agent MDPs to Markov Games

Efficient Resource Management for Deep Learning Clusters

Cautiously Optimistic Program Analyses for Secure and Reliable Software

Enforcing Realism and Temporal Consistency for Large-Scale Video Inpainting

Architectural Enhancements for Data Transport in Datacenter Systems

Towards Closing the Programmability-Efficiency Gap using Software-Defined Hardware

Towards Learning the Foundations of Manipulation Actions with Unguided Exploration

Enabling Hyperscale Web Services

EECS Juneteenth Celebration

Understanding User Cognition: from Spatial Ability to Code Writing and Review

Ride-Sharing Optimization Algorithms for Urban Commuting

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

Multi-task Hierarchical Reinforcement Learning for Compositional Tasks

Virtual e-HAIL Launch Event

U-M Precision Health Seminar, May 2021

CSE International Student Information Session

How to Make the Most of Your Summer Plans

2021 EECS Virtual Commencement

Information theoretic limits of cardinality estimation: Fisher meets Shannon

Developing Trustworthy Hardware with Security-Driven Design & Verification

Empathy in peer-to-peer mental health support

Sample efficient learning and generalization with text representations

Compositional Reasoning in Robot Learning

Approximation Algorithms for Fair Clustering

Adaptive gradient descent methods for constrained optimization

Bridging Algorithmic and Statistical Randomness in Machine Learning

IDEs for Ideas

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

Enabling Hyperscale Web Services

An Improved Exponential-Time Approximation Algorithm for Fully-Alternating Games Against Nature

SAUL: Towards Effective Data Science

Architecting Quantum Computing Systems in the Presence of Noise

Eliminating Bugs in Real Systems

Sample-Efficient Nonconvex Optimization Algorithms for Machine Learning

Toward Broad and Deep Language Processing for Intelligent Systems

Perception and Decision-Making Systems for Human-Robot Teaming in Safety-Critical Environments

Diversity and Fairness in Data Summarization Algorithms

(a biased selection of) Recent Developments in Combinatorial Auctions

Undergraduate Research Panel

DEI and Wellness

Probabilistic proofs: theory, hardware, and everything in between

Defining and Ensuring Algorithmic Fairness in Artificial Intelligence

Picture a Scientist: Screening, Panel and Discussion

Opening the Black Box: Towards Theoretical Understanding of Deep Learning

Approximation Algorithms and Hardness for Strong Unique Games

Physically Interactive Intelligence — A path towards autonomous embodied agents

Wireless Systems that See the Invisible with Machine Learning: Through-Wall Vision, Emotion Recognition, and Health Monitoring

AI for Population Health: Melding Data and Algorithms on Networks

Introduction to Red-Black Tree

Adversarial Streaming, Differential Privacy, and Adaptive Data Analysis

Prioritizing Computation and Analyst Resources in Large-scale Data Analytics

How To Be An EECS IA

Datacenter Architectures for the Microservices Era

Evaluating and Improving Internet Load Balancing with Large-Scale Latency Measurements

Learning Through Interaction in Cooperative Multi-Agent Systems

Prophet and Secretary Online Algorithms for Matching in General Graphs

Tight Bounds for Adversarially Robust Streams and Sliding Windows via Difference Estimators

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

Alumni Round Table for Black History Month

The Open Virtual Assistant Initiative

Deterministic Mincut in Almost-Linear Time

That Ain’t Right: AI Mistakes and Black Lives

Graduate Town Hall Meeting

AI’s Impact on Research

75th anniversary of the ENIAC

Fooling Constant-Depth Threshold Circuits

Remote Learning & Time Management

Improved Analysis of Higher Order Random Walks

Resource-Efficient Quantum Computing by Breaking Abstractions

Introduction to Cache Organization

New algorithms and lower bounds for all-pairs max flow

Accidental Research: Scalable Algorithms for Graph Automorphism and Canonical Labeling

Resume and Interview Tips

I Am Error: How Math Can Automatically Fix Mistakes

Approximating the Diameter of a Graph

Expanding Task Diversity in Explanation-Based Interactive Task Learning

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

Streaming Architectures for Medical Image Reconstruction

A Holistic Solution for Reliability of 3D Parallel Systems

Fast algorithms for linear programs and bipartite matching via new data structures and interior-point methods

Leveraging Longitudinal Data for Personalized Prediction and Word Representations

Software Model Checking with Uninterpreted Functions

Hash Tables Lecture

New Analysis of the Factor Refinement Algorithm with Applications

Explainability and Interpretability through Interaction

Design Optimization of In-Vehicle Network

Impartial selection, additive approximation guarantees, and priors

Pursuing Health and Inclusion Through Sociotechnical Systems

Undergraduate Town Hall Meeting

Bridging Continuous and Discrete Optimization through the Lens of Approximation

Objectively Measure Developers’ Cognitive Activities: Code, Biases, and Brains

Mobile Health Approaches to Precision Medicine

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

Networks Capable of Change

AI & Accessibility: Ethical Considerations

A Unified and Fine-Grained Approach for Light Spanners

Towards General Purpose Specialization

Collaboration as a Lens for Inclusive Technical Innovation

17th Annual CSE GRADUATE HONORS COMPETITION

U-M Data Science Annual Symposium 2020

U-M Data Science Annual Symposium 2020

Algebraic Frameworks for Cryptographic Primitives

Edge-Weighted Online Bipartite Matching

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

Michigan AI Symposium – AI & Health

Coloring and Maximum Weight Independent Set of Rectangles

President’s Commission On Carbon Neutrality Analysis Team Panel

Self-Care for Students

Realizing the Promise of Autonomy

Towards Optimal Separations between Quantum and Randomized Query Complexities

Program Synthesis: Applications and Techniques

Self-Care for Students

Automotive Cloud Computing

Danielle Belgrave | ML for Personalized Mental Healthcare

Computational Hardness of Optimal Fair Computation

Aggregating Inconsistent Information in Ranking, Clustering and Phylogenetic Trees

When it leaks, it pours: on the (sad) state of today’s hardware security

Pascale Fung | Deeper Conversational AI

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

New Techniques for Proving Fine-Grained Average-Case Hardness

Cybersecurity: Threats, policy, and responses

Data Science and Politics

Hypergraph k-cut for fixed k in deterministic polynomial time

Practical Memory Disaggregation: A Case Study in Network-Informed Data Systems Design

Automatic Quantification and Prediction of Affect in Spoken Interactions

2020 Precision Health Virtual Symposium

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

Non-Adaptive Adaptive Sampling in Turnstile Streams

NEW MS STUDENT ORIENTATION

NEW PHD STUDENT ORIENTATION

MIDAS Reproducibility Day

The Menu-Size of Approximately Optimal Auctions

Bloomberg Engineering Tech Talk: Applied Named Entity Recognition

Cracking the diversity code: Understanding computing pathways of those least represented in order to foster their representation

Beyond Algorithmic Fairness: What Social Justice Needs from Data Science

Models and Algorithms for Human Action Understanding

Customized Systems of Deep Neural Networks for Energy Efficiency

Efficiency in Machine Learning with Focus on Deep Learning and Recommender Systems

MIDAS Reproducibility Challenge Showcase

Election Security is Harder Than You Think

Enabling and Improving Centralized Control in Network and Cyber-Physical Systems: An Application-Driven Approach

“Is AI Racist?”

Engaging Students Remotely: Faculty Lessons from the Field

Towards the First Practical Applications of Quantum Computers

Interactional Slingshots: Providing Support Structure to User Interactions in Hybrid Intelligence Systems

MIDAS Reproducibility Challenge Showcase: #6

MIDAS Reproducibility Challenge Showcase: Sharon Glotzer – An Open Software Approach for Reproducible Research for Materials Design

Understanding and Improving the Performance of Web Page Loads

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

MIDAS Reproducibility Challenge Showcase: #5

Understanding Word Embedding Stability Across Languages and Applications

A Mobile/wearable Platform for Collecting Data on Sleep and Circadian Rhythms in the Time of COVID

Unsupervised Structural Embedding Methods for Efficient Collective Network Mining

A Scalable Tool for Longitudinal Twitter Analysis

A Parallel Tensor Network Contraction Algorithm and Its Applications in Quantum Computation

Learning to Generate 3D Training Data

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

Learning Single-Image 3D from the Internet

EECS Juneteenth Celebration

Machine Learning in Adversarial Environments

Automatic Designs in Deep Neural Networks

EECS Community Gathering

EECS Community Gathering

Friday Night AI: “AI & COVID-19”

Domain-specific Architectures for Data-intensive Applications

Learning sight from sound

Efficient Belief Propagation for Perception and Manipulation in Clutter

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

Enhancing System Transparency, Trust, and Privacy with Internet Measurement

Making and Keeping Probabilistic Commitments for Trustworthy Multiagent Coordination

Virtual Student-Made Video Game Exhibition

A Data Scientist Plays Games

Understanding and Generating Natural Language of Complex Discourse

Towards Structured-Infused and Disentangled Representation Learning

New Compilation Techniques for Reconfigurable Analog Devices

Language Grounding with Robots

Harnessing Examples for Learning at Scale

Bending Fuzzers to One’s Own Will

CANCELLED: The Age of Surveillance Capitalism

Learning Spoken Language Through Vision

Auditing Outsourced Services

Rethinking Operating System and Hardware Abstractions for Good and Evil

Designing Collective Behavior in Robotic Swarms

Connecting Blockchains to the Real World

Automating Failure Diagnosis for Distributed Systems

An Algorithm for Hypergraph k-Cut

Foundations of Optimizable Gradual Typing

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

Learning from Societal Data: Theory and Practice

Analyzing Programs in the Era of Software 2.0

Better Foundations for Secure Software: Minimize Trust and Verify It

CANCELED: Friday Night AI – Conversational AI: Technologies that Power Today’s Chatbots

Clarifying Oblique Specifications of Relational Queries

Who’s Watching You: A Multi-Disciplinary Panel on Privacy

Progressive Automated Formal Verification of Hardware and Software Systems

Algorithmic Paradigms for Dynamic Graphs

Improving Programming Support for Hardware Accelerators Through Automata Processing Abstractions

POSTPONED: Real World Perspectives: Conversations of Leadership and Diversity in Engineering

Democratizing Self-Service Data Preparation through Program Synthesis for Non-expert Users

Scalability and Methods of Deep Learning from an Optimization Viewpoint

Towards a Unified Theory of Matching Sparsifiers

Achieving Privacy in an Increasingly Connected World

The Value Alignment Problem in Artificial Intelligence

Machine Learning for Accelerating Scientific Discovery

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

Towards Scalable and Reliable Architectures for Quantum Computing Platforms

Is It Possible to Democratize AI for Business

Human-AI Systems for Visual Information Access

How To Be An IA

New Approaches to Real-Time Robotic Mapping and Information Gathering

Software-Hardware Systems for the Internet of Things

Logic Solvers and Machine Learning: The Next Frontier

How Language Makes Us Smart (Without Big Data)

Efficient Machine Learning via Data Summarization

Breaking and Building End-to-End Encrypted Systems

Control Hijacking I

Security Games: Quasi-Regular Sequences, and a new version of TSP

Binary Search Trees for Sentiment Analysis

Introduction to Hashing and Hash Tables

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

Abstraction in Reinforcement Learning

Improving Team Performance and Dynamics within Human-Robot Teams

Knowledge Is Power: Sensing The Physical World Around Devices

Intro to RISC-V Assembly

AI for Good: Computer Science Helping the World

Stable Matchings

Resume/Interview Preparation

Agent-based Models for Analyzing Strategic Adaptations to Government Regulation

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

Language Grounding in Situated Communication

Foundations of Intelligent Systems with (Deep) Function Approximators

Sketching Graphs and Matrices

Enabling Continuous Learning through Synaptic Plasticity in Hardware

The Bit Player: Claude Shannon

Software Engineering Intelligence

On Sunflowers and Its Friends in Computer Science and Mathematics

Data Structures Meet Circuits and Cryptography

Applications of AI for Accessibility

Supporting Efforts to Broaden Participation in Computer Science

EECS 545 Machine Learning Poster Session

Computer Games Showcase

Study Session + Dinner

Thwarting Advanced Code-reuse Attacks

Using Sensor Redundancy in Vehicles and Smartphones for Driving Security and Safety

The Complexity of Finding S-factors in Regular Graphs

Principled Secure Processor Design

Towards Seamless Human-Mobility Interaction

Runtime Systems for Persistent Memories

Giving Blueday 12.03.19

Word Embeddings: What Works, What Doesn’t, and How to Tell the Difference for Applied Research

Enabling Usable and Performant Trusted Execution

Building Multi-Language Tools

Off-policy Estimation in Reinforcement Learning

Bias in Search and Recommenders Systems

Friday Night AI – Teaching Robots through Natural Interactions

Fine-grained hardness of CVP(P)— Everything that we can prove (and nothing else)