Communications and Signal Processing Seminar Series

This is the channel for the Communications and Signal Processing (CSP) Seminar Series hosted by Electrical and Computer Engineering at the University of Michigan. This series features invited speakers that span the areas of Network, Communication, & Information Systems, and Signal & Image Processing and Machine Learning.

Areas of focus include: Algorithmic Game Theory, Communications, Data Science (theory + applied), Economics, Machine Learning, Networks, Network Science, Portfolio Management, Reinforcement Learning.


“Robust and Geometry-Aware Distribution Estimation via Optimal Transport”
“Robust and Geometry-Aware Distribution Estimation via Optimal Transport”
“Consumer Profiling via Information Design” by Itay P. Fainmesser, Andrea Galeotti, and Ruslan Momot
“Consumer Profiling via Information Design” by Itay P. Fainmesser, Andrea Galeotti, and Ruslan Momot
Advancing Efficient and Trustworthy AI for Science, Engineering, and Medicine
Advancing Efficient and Trustworthy AI for Science, Engineering, and Medicine
From Generative AI to Enhanced Dementia Care: The Path to Early Detection and Intervention
From Generative AI to Enhanced Dementia Care: The Path to Early Detection and Intervention
The Interplay between Privacy and Robustness: from Mean Estimation to LLM Alignment
The Interplay between Privacy and Robustness: from Mean Estimation to LLM Alignment
Unsourced Random Access, Approximated Message Passing, and Cell-Free Wireless Networks.
Unsourced Random Access, Approximated Message Passing, and Cell-Free Wireless Networks.
Guiding Diffusion and Flow Models for Constrained Sampling in Image, Video and 4D
Guiding Diffusion and Flow Models for Constrained Sampling in Image, Video and 4D
Learning to detect an anomalous Markov process
Learning to detect an anomalous Markov process
Behavior of Gradient-Based Optimization Methods in Nonconvex Landscapes: A Dynamical Systems Perspec
Behavior of Gradient-Based Optimization Methods in Nonconvex Landscapes: A Dynamical Systems Perspec
Setup Times in Multiserver Systems: New Insights
Setup Times in Multiserver Systems: New Insights
Machine Unlearning for Generative AI
Machine Unlearning for Generative AI
Exploring and Mitigating Safety Risks in Large Language Models and Generative AI
Exploring and Mitigating Safety Risks in Large Language Models and Generative AI
ADVANCING IMAGE RECONSTRUCTION AND RESTORATION THROUGH ROBUST SUPERVISED AND GENERATIVE MODELS
ADVANCING IMAGE RECONSTRUCTION AND RESTORATION THROUGH ROBUST SUPERVISED AND GENERATIVE MODELS
Improved very sparse matrix completing using an intentionally randomized “asymmetric SVD”
Improved very sparse matrix completing using an intentionally randomized “asymmetric SVD”
Enhancing Fairness in Deep Learning from Data and Model Perspectives
Enhancing Fairness in Deep Learning from Data and Model Perspectives
Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation
Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation
Mixed Reality Security and Streaming at the System and Application Levels
Mixed Reality Security and Streaming at the System and Application Levels
How to make the gradient descent-ascent converge to local minimax optima
How to make the gradient descent-ascent converge to local minimax optima
Transformer Meets Nonparametric Kernel Regression
Transformer Meets Nonparametric Kernel Regression
Recent Advances in Average-Reward Restless Bandits
Recent Advances in Average-Reward Restless Bandits
Quantum Bayesian Framework for Efficient Storage of Quantum Information
Quantum Bayesian Framework for Efficient Storage of Quantum Information
Adventures in PCA for Heterogeneous Data: Optimal Weights and Rank Estimation
Adventures in PCA for Heterogeneous Data: Optimal Weights and Rank Estimation
What’s in my networks? On learned proximals and testing for interpretations
What’s in my networks? On learned proximals and testing for interpretations
Deep Representation Interface for Engineering Problems
Deep Representation Interface for Engineering Problems
Label Noise: Ignorance is Bliss
Label Noise: Ignorance is Bliss
Domain Counterfactuals for Explainability, Fairness, and Domain Generalization
Domain Counterfactuals for Explainability, Fairness, and Domain Generalization
Approximate independence of permutation mixtures
Approximate independence of permutation mixtures
Understanding Distribution Learning of Diffusion Models via Low-dimensional Modeling
Understanding Distribution Learning of Diffusion Models via Low-dimensional Modeling
A Statistical Framework for Private Personalized Federated Learning and Estimation
A Statistical Framework for Private Personalized Federated Learning and Estimation
Computational Imaging through Atmospheric Turbulence
Computational Imaging through Atmospheric Turbulence