:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Nguyen, Xuan Son, Yang, Shuo, Histace, Aymeric
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning
Accesso online:	https://arxiv.org/abs/2601.01097
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Matrix Manifold Neural Networks++
di: Nguyen, Xuan Son, et al.
Pubblicazione: (2024)

Siegel Neural Networks
di: Nguyen, Xuan Son, et al.
Pubblicazione: (2025)

Batch Normalization for Neural Networks on Complex Domains
di: Nguyen, Xuan Son, et al.
Pubblicazione: (2026)

Learning Generalization and Regularization of Nonhomogeneous Temporal Poisson Processes
di: Van, Son Nguyen, et al.
Pubblicazione: (2024)

Proving Linear Mode Connectivity of Neural Networks via Optimal Transport
di: Ferbach, Damien, et al.
Pubblicazione: (2023)

BRIDGE: Budget-aware Reasoning via Intermediate Distillation with Guided Examples
di: Le, Xuan-An, et al.
Pubblicazione: (2025)

Noncompact uniform universal approximation
di: van Nuland, Teun D. H.
Pubblicazione: (2023)

Optimising Battery Energy Storage System Trading via Energy Market Operator Price Forecast
di: Fabre, Aymeric
Pubblicazione: (2025)

D2D Power Allocation via Quantum Graph Neural Network
di: Le, Tung Giang, et al.
Pubblicazione: (2025)

On the Dimension-Free Approximation of Deep Neural Networks for Symmetric Korobov Functions
di: Lu, Yulong, et al.
Pubblicazione: (2025)

EquiHGNN: Scalable Rotationally Equivariant Hypergraph Neural Networks
di: Dang, Tien, et al.
Pubblicazione: (2025)

CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks
di: Rao, Xuan, et al.
Pubblicazione: (2022)

Navigation through Non-Compact Symmetric Spaces: a mathematical perspective on Cartan Neural Networks
di: Fré, Pietro Giuseppe, et al.
Pubblicazione: (2025)

Permutation Equivariant Neural Networks for Symmetric Tensors
di: Pearce-Crump, Edward
Pubblicazione: (2025)

Neural Genetic Search in Discrete Spaces
di: Kim, Hyeonah, et al.
Pubblicazione: (2025)

SKGE: Spherical Knowledge Graph Embedding with Geometric Regularization
di: Quan, Xuan-Truong, et al.
Pubblicazione: (2025)

Extension of Symmetrized Neural Network Operators with Fractional and Mixed Activation Functions
di: Santos, Rômulo Damasclin Chaves dos, et al.
Pubblicazione: (2025)

Sparse-Aware Neural Networks for Nonlinear Functionals: Mitigating the Exponential Dependence on Dimension
di: Li, Jianfei, et al.
Pubblicazione: (2026)

Survival Prediction Across Diverse Cancer Types Using Neural Networks
di: Yan, Xu, et al.
Pubblicazione: (2024)

SAMix: Calibrated and Accurate Continual Learning via Sphere-Adaptive Mixup and Neural Collapse
di: Dang, Trung-Anh, et al.
Pubblicazione: (2025)

Fed-Listing: Federated Label Distribution Inference in Graph Neural Networks
di: Nakarmi, Suprim, et al.
Pubblicazione: (2026)

Compressed and distributed least-squares regression: convergence rates with applications to Federated Learning
di: Philippenko, Constantin, et al.
Pubblicazione: (2023)

Diagonal Symmetrization of Neural Network Solvers for the Many-Electron Schrödinger Equation
di: Huang, Kevin Han, et al.
Pubblicazione: (2025)

Flow Matching on Symmetric Spaces
di: Ruscelli, Francesco, et al.
Pubblicazione: (2026)

Diverse Influence Component Analysis: A Geometric Approach to Nonlinear Mixture Identifiability
di: Nguyen, Hoang-Son, et al.
Pubblicazione: (2025)

Classification with Deep Neural Networks and Logistic Loss
di: Zhang, Zihan, et al.
Pubblicazione: (2023)

Tight Analysis of Decentralized SGD: A Markov Chain Perspective
di: Versini, Lucas, et al.
Pubblicazione: (2026)

Byzantine-Robust Gossip: Insights from a Dual Approach
di: Gaucher, Renaud, et al.
Pubblicazione: (2024)

Functional Stochastic Gradient MCMC for Bayesian Neural Networks
di: Wu, Mengjing, et al.
Pubblicazione: (2024)

MAGPrompt: Message-Adaptive Graph Prompt Tuning for Graph Neural Networks
di: Nguyen, Long D., et al.
Pubblicazione: (2026)

Schrodinger AI: A Unified Spectral-Dynamical Framework for Classification, Reasoning, and Operator-Based Generalization
di: Nguyen, Truong Son
Pubblicazione: (2025)

Learning Sparse Compositional Functions with Norm-Constrained Neural Networks
di: Huang, Shuo, et al.
Pubblicazione: (2026)

Equivariant Neural Functional Networks for Transformers
di: Tran, Viet-Hoang, et al.
Pubblicazione: (2024)

Splitting and Parallelizing of Quantum Convolutional Neural Networks for Learning Translationally Symmetric Data
di: Chinzei, Koki, et al.
Pubblicazione: (2023)

E(3)-Equivariant Mesh Neural Networks
di: Trang, Thuan, et al.
Pubblicazione: (2024)

Optimal Convergence Rates of Deep Neural Network Classifiers
di: Zhang, Zihan, et al.
Pubblicazione: (2025)

Weight-Space Linear Recurrent Neural Networks
di: Nzoyem, Roussel Desmond, et al.
Pubblicazione: (2025)

Empirical Comparison of Lightweight Forecasting Models for Seasonal and Non-Seasonal Time Series
di: Nguyen, Thanh Son, et al.
Pubblicazione: (2025)

ESGNN: Towards Equivariant Scene Graph Neural Network for 3D Scene Understanding
di: Pham, Quang P. M., et al.
Pubblicazione: (2024)

Tessellation Groups, Harmonic Analysis on Non-compact Symmetric Spaces and the Heat Kernel in view of Cartan Convolutional Neural Networks
di: Fré, Pietro, et al.
Pubblicazione: (2025)