Communications and Signal Processing Seminar

Name: Guiding Diffusion and Flow Models for Constrained Sampling in Image, Video and 4D
Start: 2025-07-21T10:00:00-04:00
End: 2025-07-21T11:00:00-04:00
Location: 1200 EECS Building

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Communications and Signal Processing Seminar

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Events

On the Emergence of Invariant Low-Dimensional Subspaces in Gradient Descent for Learning Deep Networks

On an Asymptotic Criterion for Blockchain Design

Quantum Signal Processing

Integrated Sensing and Communication: aspects from Information Theory, Communication Theory, and Machine Learning

Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency

Wireless is back: The 6G Revolution Towards Connected Intelligence

Transformers as Support Vector Machines

Theoretical Characterization of Forgetting and Generalization of Continual Learning

How Hessian Structure Explains Mysteries in Sharpness Regularization

Breaking the Sample Size Barrier in Reinforcement Learning via Model-Based Algorithms

Overparameterization and Global Optimality in Nonconvex Low-Rank Matrix Estimation and Optimization

Sparsity for Efficient Long Sequence Generation of LLMs

Rethinking the theoretical foundation of reinforcement learning

(CANCELED) Discrete Optimization for Adversarial Attacks on Large Language Models

Flat Minima Generalize for Low-Rank Matrix Recovery

Towards a Theoretical Understanding of Parameter-Efficient Fine-Tuning (and Beyond)

Accelerated Optimization for Dynamic MRI Reconstruction with Locally Low-Rank Regularizers

Transfer learning for contextual multi-armed bandits

Foundation Models AAA: Acceleration, Application, Adversary

On False Positive Error

Re-engineering the Uplink for Next Generation Multiple Access

Select Topics Associated with 3D Scanning by Means of Structured Light Illumination

Formal privacy guarantees for optimization datasets in power systems

Image Restoration through Inversion by Direct Iteration (InDI)

Distributed learning on correlated data with communication constraints

Cancelled

Edge and IoT-supported Intelligent Augmented Reality: Promise, Challenges, and Solutions

Data-Analytic Opportunities and Challenges in Solar Eruption Forecasting

Stochastic Optimisation Methods Applied to Image Reconstruction: results, software and outlook.

Novel Technologies for Accelerated MRI

Interdependent privacy in third-party apps: past, present, and future

Permutation-Free Kernel Hypothesis Tests

Computational Imaging through Atmospheric Turbulence

A Statistical Framework for Private Personalized Federated Learning and Estimation

Understanding Distribution Learning of Diffusion Models via Low-dimensional Modeling

Approximate independence of permutation mixtures

Toward (Truly) Resilient Computing and Communications in 6G Mobile Systems

Domain Counterfactuals for Explainability, Fairness, and Domain Generalization

Label Noise: Ignorance is Bliss

Deep Representation Interface for Engineering Problems

What’s in my networks? On learned proximals and testing for interpretations

Adventures in PCA for Heterogeneous Data: Optimal Weights and Rank Estimation

Quantum Bayesian Framework for Efficient Storage of Quantum Information

Recent Advances in Average-Reward Restless Bandits

Transformer Meets Nonparametric Kernel Regression

How to make the gradient descent-ascent converge to local minimax optima

Mixed Reality Security and Streaming at the System and Application Levels

Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation

Enhancing Fairness in Deep Learning from Data and Model Perspectives

Improved very sparse matrix completing using an intentionally randomized “asymmetric SVD”

ADVANCING IMAGE RECONSTRUCTION AND RESTORATION THROUGH ROBUST SUPERVISED AND GENERATIVE MODELS

Exploring and Mitigating Safety Risks in Large Language Models and Generative AI

Training-free approaches for image inversion and editing using latent generative models

Emergence and grokking in “simple” architectures

Machine Unlearning for Generative AI

Setup Times in Multiserver Systems: New Insights

Canceled Rescheduling To Fall 2025 On the computation of Stackelberg and Nash equilibria and their variants

Behavior of Gradient-Based Optimization Methods in Nonconvex Landscapes: A Dynamical Systems Perspective

Guiding Diffusion and Flow Models for Constrained Sampling in Image, Video and 4D