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Papers matching “neural network generalization” 435

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Artifact for "Shifting-based Optimizable Linear Relaxations for General Activation Functions"
2026 Zenodo (CERN European Organization for Nuclear Research) article Computer Science Formal Methods in Verification Open access

Philipp Kern, László Antal, Erika Abraham, Carsten Sinz

0

citations
Artifact for "Shifting-based Optimizable Linear Relaxations for General Activation Functions"
2026 Zenodo (CERN European Organization for Nuclear Research) article Computer Science Formal Methods in Verification Open access

Philipp Kern, László Antal, Erika Ábrahám, Carsten Sinz

0

citations
Artifact for "Shifting-based Optimizable Linear Relaxations for General Activation Functions"
2026 Zenodo (CERN European Organization for Nuclear Research) article Computer Science Formal Methods in Verification Open access

Philipp Kern, László Antal, Erika Abraham, Carsten Sinz

0

citations
A generalization bound for a family of implicit networks
2026 Neurocomputing article Computer Science Neural Networks and Applications Open access

Samy Wu Fung, Benjamin Berkels

0

citations
Discrete signaling mediates chaotic regularization in recurrent neural networks
2026 arXiv (Cornell University) preprint Neuroscience Neural dynamics and brain function Open access

Jan Bauer, Christian Keup, Jonathan Kadmon, Moritz Helias

0

citations
Dynamics of neural scaling laws in random feature regression with powerlaw-distributed kernel eigenvalues
2026 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Jakob Kramp, Javed Lindner, Moritz Helias

0

citations
Learning to Search and Searching to Learn for Generalization in Planning
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Michael Aichmüller, Yannik Hesse, Hector Geffner

0

citations
Double descent: When do neural quantum states generalize?
2026 Physical review. E article Physics and Astronomy Quantum many-body systems Open access

M. Schuyler Moss, Alev Orfi, Anirvan M. Sengupta, Antoine Georges, Dries Sels, Anna Dawid, +1 more

1

citations
Non-Asymptotic Analysis of Projected Gradient Descent for Physics-Informed Neural Networks
2025 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Jonas Nießen

0

citations
Non-Asymptotic Optimization and Generalization Bounds for Stochastic Gauss-Newton in Overparameterized Models
2025 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Semih Çaycı

0

citations
A Generalization Bound for a Family of Implicit Networks
2024 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Samy Wu Fung, Benjamin Berkels

0

citations
A generalized framework of neural networks for Hamiltonian systems
2024 Journal of Computational Physics article Physics and Astronomy Model Reduction and Neural Networks Open access

Philipp Horn, Veronica Saz Ulibarrena, Barry Koren, Simon Portegies Zwart

11

citations
Deep Neural Networks for Analysis of Microscopy Images—Synthetic Data Generation and Adaptive Sampling
2021 Crystals article Materials Science Machine Learning in Materials Science Open access cited by 3 patents

Patrick Trampert, Dmitri Rubinstein, Faysal Boughorbel, Christian Schlinkmann, Maria Luschkova, Philipp Slusallek, +2 more

40

citations
Deep Neural Networks for Analysis of Microscopy Images—Synthetic Data Generation and Adaptive Sampling
2021 article Materials Science Machine Learning in Materials Science Open access

Patrick Trampert, Dmitri Rubinstein, Faysal Boughorbel, Christian Schlinkmann, Maria Luschkova, Philipp Slusallek, +2 more

0

citations
Characterizing Psychiatric Disorders Through Graph Neural Networks: A Functional Connectivity Analysis of Depression and Schizophrenia
2025 Depression and Anxiety article Neuroscience Functional Brain Connectivity Studies Open access

Ye-Eun Kim, Mikhail Votinov, Minghao Xu, Sun-Young Kim, Munseob Lee, Lisa Wagels, +1 more

3

citations
Cross-Validation and Uncertainty Determination for Randomized Neural Networks with Applications to Mobile Sensors
2021 arXiv (Cornell University) preprint Computer Science Machine Learning and ELM Open access

Ansgar Steland, Bart Elger Pieters

1

citations
Euclid Preparation TBD. Characterization of convolutional neural networks for the identification of galaxy-galaxy strong lensing events
2023 Zurich Open Repository and Archive (University of Zurich) article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access

Euclid Collaboration, Massimo Meneghetti, G. Angora, R. B. Metcalf, Lauro Moscardini, P. Rosati, +89 more

0

citations
Physical Pooling Functions in Graph Neural Networks for Molecular Property Prediction
2022 RWTH Publications (RWTH Aachen) article Computer Science Computational Drug Discovery Methods Open access

Artur M. Schweidtmann, Jan G. Rittig, Jana M. Weber, Martin Grohe, Manuel Dahmen, Kai O. Leonhard, +1 more

3

citations
Query Languages for Neural Networks
2024 arXiv (Cornell University) preprint Computer Science Logic, Reasoning, and Knowledge Open access

Martin Grohe, Christoph Standke, Juno Steegmans, Jan Van den Bussche

0

citations
Query Languages for Neural Networks
2025 DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) article Computer Science Logic, Reasoning, and Knowledge Open access

Juno Steegmans

0

citations
The edge of chaos: quantum field theory and deep neural networks
2022 SciPost Physics article Physics and Astronomy Theoretical and Computational Physics Open access

Kevin T. Grosvenor, Ro Jefferson

30

citations
The edge of chaos: quantum field theory and deep neural networks
2021 arXiv (Cornell University) preprint Physics and Astronomy Theoretical and Computational Physics Open access

Kevin T. Grosvenor, Ro Jefferson

0

citations
Discovering uncertainty: Bayesian constitutive artificial neural networks
2024 Computer Methods in Applied Mechanics and Engineering article Computer Science Gaussian Processes and Bayesian Inference Open access

Kevin Linka, Gerhard A. Holzapfel, Ellen Kuhl

37

citations
Discovering uncertainty: Bayesian constitutive artificial neural networks
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Kevin Linka, Gerhard A. Holzapfel, Ellen Kuhl

6

citations
A generalized dual potential for inelastic Constitutive Artificial Neural Networks: A JAX implementation at finite strains (Source code and data)
2025 Zenodo (CERN European Organization for Nuclear Research) dataset Engineering Elasticity and Material Modeling Open access

Hagen Holthusen, Kevin Linka, Ellen Kuhl, Tim Brepols

0

citations