Upcoming Events

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

NSF Priorities and Opportunities for Data Science and AI

EECS Juneteenth Celebration: Tech and Empowering Our Communities

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

Augmenting Structure with Text for Improved Graph Learning

Fighting Vulnerabilities With Process, Insight, and Automation

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