Diffusion Learning In Non-Convex Environments

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Diffusion Learning In Non-Convex Environments

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On the Generalization of Stochastic Gradient Descent with Momentum

Understanding generalization and robustness in modern deep learning

Topics in statistical physics of high-dimensional machine learning

Robust machine learning for neuroscientific inference

Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear Networks

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

Scalable constrained optimization

Partial discharge localization in power transformer tanks using machine learning methods

Digital Twins of Stone Masonry Buildings for Damage Assessment

The 2024 Magnonics Roadmap

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Revisiting Character-level Adversarial Attacks for Language Models

Machine Learning for Modeling Stock Returns

DBFS: Dynamic Bitwidth-Frequency Scaling for Efficient Software-defined SIMD

Random matrix methods for high-dimensional machine learning models

Machine learning-aided generative molecular design

Stability: a search for structure

Residual-based attention in physics-informed neural networks