Novel Technologies for Accelerated MRI

Data-Analytic Opportunities and Challenges in Solar Eruption Forecasting

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

Distributed learning on correlated data with communication constraints

Image Restoration through Inversion by Direct Iteration (InDI)

Formal privacy guarantees for optimization datasets in power systems

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

On False Positive Error

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

Quantum Signal Processing

Wireless is back: The 6G Revolution Towards Connected Intelligence

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

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

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

Sparsity for Efficient Long Sequence Generation of LLMs

Theoretical Characterization of Forgetting and Generalization of Continual Learning

Flat Minima Generalize for Low-Rank Matrix Recovery

Transformers as Support Vector Machines

Rethinking the Theoretical Foundation of Reinforcement Learning

How Hessian Structure Explains Mysteries in Sharpness Regularization

Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency

On the Emergence of Invariant Low-Dimensional Subspaces in Gradient Descent for LearningDeepNetworks

Demystifying and Mitigating Unfairness for Machine Learning over Graphs

Machine Learning challenges in Metrology in Semiconductor Device Industry

Best of three worlds? Bias and extrapolation in constant-step size stochastic approximation

Deep Learning Meets Sparse Regularization: A Signal Processing Perspective

Explainable AI via Semantic Information Pursuit (Sound begins @ :55)

Implicit Geometry of Large Classification Models: Imbalance Trouble

Evaluating Unsupervised Denoising Requires Unsupervised Metrics

Understanding the Universality Phenomenon in High-Dimensional Estimation&Learning:SomeRecentProgress