:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Jiahan, Zhang, Yaoyu, Luo, Tao
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	https://arxiv.org/abs/2505.12419
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Overview frequency principle/spectral bias in deep learning
di: Xu, Zhi-Qin John, et al.
Pubblicazione: (2022)

Embedding Principle in Depth for the Loss Landscape Analysis of Deep Neural Networks
di: Bai, Zhiwei, et al.
Pubblicazione: (2022)

Uncovering Critical Sets of Deep Neural Networks via Sample-Independent Critical Lifting
di: Zhang, Leyang, et al.
Pubblicazione: (2025)

Geometry and Local Recovery of Global Minima of Two-layer Neural Networks at Overparameterization
di: Zhang, Leyang, et al.
Pubblicazione: (2023)

Geometry of Critical Sets and Existence of Saddle Branches for Two-layer Neural Networks
di: Zhang, Leyang, et al.
Pubblicazione: (2024)

A rationale from frequency perspective for grokking in training neural network
di: Zhou, Zhangchen, et al.
Pubblicazione: (2024)

On the uncertainty principle of neural networks
di: Zhang, Jun-Jie, et al.
Pubblicazione: (2022)

Large deviation principles for convolutional Bayesian neural networks
di: Bassetti, Federico, et al.
Pubblicazione: (2026)

Do stable neural networks exist for classification problems? -- A new view on stability in AI
di: Liu, Z. N. D., et al.
Pubblicazione: (2024)

Equivariant non-linear maps for neural networks on homogeneous spaces
di: Nyholm, Elias, et al.
Pubblicazione: (2025)

Conditional computation in neural networks: principles and research trends
di: Scardapane, Simone, et al.
Pubblicazione: (2024)

Quantum neural networks facilitating quantum state classification
di: Sharma, Diksha, et al.
Pubblicazione: (2025)

Analyzing homogenous and heterogeneous multi-server queues via neural networks
di: Sherzer, Eliran
Pubblicazione: (2025)

Scale redundancy and soft gauge fixing in positively homogeneous neural networks
di: Terin, Rodrigo Carmo
Pubblicazione: (2026)

One-step learning algorithm selection for classification via convolutional neural networks
di: Maldonado, Sebastian, et al.
Pubblicazione: (2023)

Fast and reliable uncertainty quantification with neural network ensembles for industrial image classification
di: Thuy, Arthur, et al.
Pubblicazione: (2024)

Connectivity Shapes Implicit Regularization in Matrix Factorization Models for Matrix Completion
di: Bai, Zhiwei, et al.
Pubblicazione: (2024)

Disentangle Sample Size and Initialization Effect on Perfect Generalization for Single-Neuron Target
di: Zhao, Jiajie, et al.
Pubblicazione: (2024)

Applying the maximum entropy principle to neural networks enhances multi-species distribution models
di: Ryckewaert, Maxime, et al.
Pubblicazione: (2024)

Local Linear Recovery Guarantee of Deep Neural Networks at Overparameterization
di: Zhang, Yaoyu, et al.
Pubblicazione: (2024)

Principles of Lipschitz continuity in neural networks
di: Luo, Róisín
Pubblicazione: (2026)

Equivariant graph convolutional neural networks for the representation of homogenized anisotropic microstructural mechanical response
di: Patel, Ravi, et al.
Pubblicazione: (2024)

Training neural networks with structured noise improves classification and generalization
di: Benedetti, Marco, et al.
Pubblicazione: (2023)

Coding schemes in neural networks learning classification tasks
di: van Meegen, Alexander, et al.
Pubblicazione: (2024)

An experimental comparative study of backpropagation and alternatives for training binary neural networks for image classification
di: Crulis, Ben, et al.
Pubblicazione: (2024)

FlamePINN-1D: Physics-informed neural networks to solve forward and inverse problems of 1D laminar flames
di: Wu, Jiahao, et al.
Pubblicazione: (2024)

Neural Force Field: Few-shot Learning of Generalized Physical Reasoning
di: Li, Shiqian, et al.
Pubblicazione: (2025)

An axiomatized PDE model of deep neural networks
di: Wang, Tangjun, et al.
Pubblicazione: (2023)

The late-stage training dynamics of (stochastic) subgradient descent on homogeneous neural networks
di: Schechtman, Sholom, et al.
Pubblicazione: (2025)

Comparing concepts of quantum and classical neural network models for image classification task
di: Potempa, Rafal, et al.
Pubblicazione: (2021)

Research on the application of graph data structure and graph neural network in node classification/clustering tasks
di: Wang, Yihan, et al.
Pubblicazione: (2025)

Path-conditioned training: a principled way to rescale ReLU neural networks
di: Lebeurrier, Arthur, et al.
Pubblicazione: (2026)

An efficient wavelet-based physics-informed neural network for multiscale problems
di: Pandey, Himanshu, et al.
Pubblicazione: (2024)

Reconstructing Content via Collaborative Attention to Improve Multimodal Embedding Quality
di: Chen, Jiahan, et al.
Pubblicazione: (2026)

Time-optimal neural feedback control of nilpotent systems as a binary classification problem
di: Bicego, Sara, et al.
Pubblicazione: (2025)

On the dynamics of three-layer neural networks: initial condensation
di: Chen, Zheng-An, et al.
Pubblicazione: (2024)

An analysis of optimization problems involving ReLU neural networks
di: Plate, Christoph, et al.
Pubblicazione: (2025)

Formulations and scalability of neural network surrogates in nonlinear optimization problems
di: Parker, Robert B., et al.
Pubblicazione: (2024)

An overview of condensation phenomenon in deep learning
di: Xu, Zhi-Qin John, et al.
Pubblicazione: (2025)

Determinism in the Undetermined: Deterministic Output in Charge-Conserving Continuous-Time Neuromorphic Systems with Temporal Stochasticity
di: Yan, Jing, et al.
Pubblicazione: (2026)