:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Jianhua, Cressant, Killian, Velloso, Pedro Braconnot, Breloy, Arnaud
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Signal Processing
Online Access:	https://arxiv.org/abs/2602.15920
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Riemannian Change Point Detection on Manifolds with Robust Centroid Estimation
by: Wang, Xiuheng, et al.
Published: (2025)

Leveraging Low-rank Factorizations of Conditional Correlation Matrices in Graph Learning
by: Phi, Thu Ha, et al.
Published: (2025)

Polynomial Graphical Lasso: Learning Edges from Gaussian Graph-Stationary Signals
by: Buciulea, Andrei, et al.
Published: (2024)

On Sparse High-Dimensional Graphical Model Learning For Dependent Time Series
by: Tugnait, Jitendra K.
Published: (2021)

Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior
by: Navarro, Madeline, et al.
Published: (2024)

Learning Sparse High-Dimensional Matrix-Valued Graphical Models From Dependent Data
by: Tugnait, Jitendra K
Published: (2024)

Graph Laplacian Learning with Exponential Family Noise
by: Shi, Changhao, et al.
Published: (2023)

Learning Sheaf Laplacian Optimizing Restriction Maps
by: Di Nino, Leonardo, et al.
Published: (2025)

Cramer-Rao Bounds for Laplacian Matrix Estimation
by: Halihal, Morad, et al.
Published: (2025)

Data Normalization Strategies for EEG Deep Learning
by: Truong, Dung, et al.
Published: (2025)

Transferable Graphical MARL for Real-Time Estimation in Dynamic Wireless Networks
by: Chen, Xingran, et al.
Published: (2024)

Physically constrained unfolded multi-dimensional OMP for large MIMO systems
by: Klaimi, Nay, et al.
Published: (2026)

Symmetry constrained neural networks for detection and localization of damage in metal plates
by: Amarel, James, et al.
Published: (2024)

Online Network Inference from Graph-Stationary Signals with Hidden Nodes
by: Buciulea, Andrei, et al.
Published: (2024)

Improved impedance inversion by the iterated graph Laplacian
by: Bianchi, Davide, et al.
Published: (2024)

f-GAN: A frequency-domain-constrained generative adversarial network for PPG to ECG synthesis
by: Kong, Nathan C. L., et al.
Published: (2024)

Data-driven Nonlinear Modal Analysis with Physics-constrained Deep Learning: Numerical and Experimental Study
by: Rostamijavanani, Abdolvahhab, et al.
Published: (2025)

Revisiting Neighborhood Aggregation in Graph Neural Networks for Node Classification using Statistical Signal Processing
by: Ghogho, Mounir
Published: (2024)

Universal Differential Equations for Scientific Machine Learning of Node-Wise Battery Dynamics in Smart Grids
by: S., Tarushri N.
Published: (2025)

Simplicial Gaussian Models: Representation and Inference
by: Marinucci, Lorenzo, et al.
Published: (2025)

Joint Sparsity Pattern Learning Based Channel Estimation for Massive MIMO-OTFS Systems
by: Meng, Kuo, et al.
Published: (2024)

Model Selection and Parameter Estimation of One-Dimensional Gaussian Mixture Models
by: Liu, Xinyu, et al.
Published: (2024)

InfoNCE Induces Gaussian Distribution
by: Betser, Roy, et al.
Published: (2026)

Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems
by: Lin, Zhidi, et al.
Published: (2025)

Text me the data: Generating Ground Pressure Sequence from Textual Descriptions for HAR
by: Ray, Lala Shakti Swarup, et al.
Published: (2024)

Confirmation Bias in Gaussian Mixture Models
by: Balanov, Amnon, et al.
Published: (2024)

Efficient Gaussian process learning via subspace projections
by: Cazelles, Elsa, et al.
Published: (2026)

Consensus-based Recursive Multi-Output Gaussian Process
by: Rao, Yogesh Prasanna Kumar, et al.
Published: (2026)

On Generalization Bounds for Deep Compound Gaussian Neural Networks
by: Lyons, Carter, et al.
Published: (2024)

SCVCNet: Sliding cross-vector convolution network for cross-task and inter-individual-set EEG-based cognitive workload recognition
by: Wang, Qi, et al.
Published: (2023)

Efficient algorithms for the Hadamard decomposition
by: Wertz, Samuel, et al.
Published: (2025)

Alternating Direction Method of Multipliers for Nonlinear Matrix Decompositions
by: Awari, Atharva, et al.
Published: (2025)

L1 Regularization Paths in Linear Models by Parametric Gaussian Message Passing
by: Li, Yun-Peng, et al.
Published: (2026)

Nonlinearity and Uncertainty Informed Moment-Matching Gaussian Mixture Splitting
by: Kulik, Jackson, et al.
Published: (2024)

Conformalized Gaussian processes for online uncertainty quantification over graphs
by: Xu, Jinwen, et al.
Published: (2025)

Adaptive Split-MMD Training for Small-Sample Cross-Dataset P300 EEG Classification
by: Chen, Weiyu, et al.
Published: (2025)

Seizure-NGCLNet: Representation Learning of SEEG Spatial Pathological Patterns for Epileptic Seizure Detection via Node-Graph Dual Contrastive Learning
by: Wang, Yiping, et al.
Published: (2025)

Accelerated training of Gaussian processes using banded square exponential covariances
by: Ehrhardt, Emily C., et al.
Published: (2026)

Learning Context-conditioned Gaussian Overbounds for Convolution-Based Uncertainty Propagation
by: Liu, Ruirui, et al.
Published: (2026)

Bayesian autoregression to optimize temporal Matérn kernel Gaussian process hyperparameters
by: Kouw, Wouter M.
Published: (2025)