Doubly sparse models for multiple filter estimation in sparse echoic environments

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Doubly sparse models for multiple filter estimation in sparse echoic environments

Chattez avec Graph Search

Learning Syntax Without Planting Trees: Understanding Hierarchical Generalization in Transformers

Unified Harmonic Power-Flow and Stability Analysis of Power Grids with Converter-Interfaced Distributed Energy Resources

Functional-Basis Analysis of Non-Stationary Signals in Modern Power Grids: Theory and Implementation in Embedded Systems

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Scalable constrained optimization

Multi-Frequency Tracking via Group-Sparse Optimal Transport

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

On the number of regions of piecewise linear neural networks

Machine learning-aided generative molecular design

Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection

Exploring the effectiveness of using internal CNC system signals for chatter detection in milling process

Augmented Lagrangian Methods for Provable and Scalable Machine Learning

Learnable Wavelet Transform and Domain Adversarial Learning for Enhanced Bearing Fault Diagnosis

Stochastic adaptive resampling for the estimation of discrete choice models

Universal and adaptive methods for robust stochastic optimization

The elliptical Ornstein-Uhlenbeck process

Smart filter aided domain adversarial neural network for fault diagnosis in noisy industrial scenarios

Filter-Informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault Diagnosis

Real-Time Localization for Closed-Loop Control of Assistive Furniture