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