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Papers matching “neural variability” 83

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Data variability in neural network Bayesian inference
2025 Zenodo (CERN European Organization for Nuclear Research) article Computer Science Gaussian Processes and Bayesian Inference Open access

0

citations
Data variability in neural network Bayesian inference
2025 Zenodo (CERN European Organization for Nuclear Research) article Computer Science Gaussian Processes and Bayesian Inference Open access

Michael Krämer

0

citations
A theory of data variability in Neural Network Bayesian inference
2023 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Javed Lindner, David Dahmen, Michael Krämer, Moritz Helias

0

citations
Data variability in neural network Bayesian inference
2025 Physical Review Research article Computer Science Gaussian Processes and Bayesian Inference Open access

Michael Krämer

0

citations
Finding Closure: A Closer Look at the Gestalt Law of Closure in Convolutional Neural Networks
2025 Computational Brain & Behavior article Computer Science Advanced Neural Network Applications Open access

Yuyan Zhang, Derya Soydaner, Lisa Koßmann, Fatemeh Behrad, Johan P. Wagemans

0

citations
One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction
2023 International Joint Conference on Artificial Intelligence conference-paper Computer Science Constraint Satisfaction and Optimization Open access

Jan Tönshoff, Berke Kisin, Jakob Lindner, Martin Grohe

15

citations
One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction
2022 arXiv (Cornell University) preprint Computer Science Constraint Satisfaction and Optimization Open access

Jan Tönshoff, Berke Kisin, Jakob Lindner, Martin Grohe

1

citations
Which Algorithms Can Graph Neural Networks Learn?
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Solveig Wittig, Antonis Vasileiou, Robert R. Nerem, Timo Stoll, Floris Geerts, Yusu Wang, +1 more

0

citations
The Logic of Graph Neural Networks
2021 Proceedings - Symposium on Logic in Computer Science conference-paper Computer Science Advanced Graph Neural Networks Open access

Martin Grohe

50

citations
How Expressive Are Graph Neural Networks in the Presence of Node Identifiers?
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

A. Soeteman, Michael Benedikt, Martin Grohe, Balder ten Cate

0

citations
Exploiting network topology in brain-scale simulations of spiking neural networks
2026 Neuromorphic Computing and Engineering article Computer Science Parallel Computing and Optimization Techniques Open access

Melissa Lober, Markus Diesmann, Susanne Kunkel

0

citations
Exploiting network topology in brain-scale simulations of spiking neural networks
2026 Neuromorphic Computing and Engineering article Computer Science Parallel Computing and Optimization Techniques Open access

Melissa Lober, Markus Diesmann, Susanne Kunkel

0

citations
Heed the noise in performance evaluations in neural architecture search
2022 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Machine Learning and Data Classification Open access

Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman

3

citations
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection
2023 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access

Sophia Althammer, Guido Zuccon, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury

0

citations
Reconfigurable and Green FPGA Accelerator Design for Deep Neural Networks on IIoT Devices
2024 Globecom conference-paper Computer Science Embedded Systems Design Techniques

Mohsen Pourghasemian, Martin Lastovka, Firooz B. Saghezchi, Haris Gacanin

0

citations
Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders
2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Human Pose and Action Recognition Open access

Matthew R Whiteway, Dan Biderman, Yoni Friedman, Mario Dipoppa, E. Kelly Buchanan, Anqi Wu, +11 more

9

citations
Explainable Spike Detection Algorithm on C-fiber Microneurography Data using Weighted Hermite Variable Projection Neural Networks
2025 conference-paper Computer Science Explainable Artificial Intelligence (XAI)

Dominika Darabos, Alina Troglio, Andrea Fiebig, Anna Maxion, Ekaterina Kutafina, Barbara Namer, +2 more

1

citations
Optimal storage capacity of quantum Hopfield neural networks
2023 Physical Review Research article Computer Science Quantum Computing Algorithms and Architecture Open access

Lukas Bödeker, Eliana Fiorelli, Markus Michael Müller

10

citations
Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders
2021 PLoS Computational Biology article Computer Science Human Pose and Action Recognition Open access

Matthew R Whiteway, Dan Biderman, Yoni Friedman, Mario Dipoppa, E. Kelly Buchanan, Anqi Wu, +11 more

34

citations
On the Relevance of Phoneme Duration Variability of Synthesized Training Data for Automatic Speech Recognition
2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) conference-paper Computer Science Speech Recognition and Synthesis

Nick Rossenbach, Benedikt Hilmes, Ralf Schlüter

3

citations
Microscopic Variability Alters Macroscopic Rotation Speed in Stochastic Spiral Waves
2025 arXiv (Cornell University) preprint Computer Science Nonlinear Dynamics and Pattern Formation Open access

Desmond Kabus, Hermen Jan Hupkes, Tim De Coster

0

citations
On the Relevance of Phoneme Duration Variability of Synthesized Training Data for Automatic Speech Recognition
2023 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Nick Rossenbach, Benedikt Hilmes, Ralf Schlüter

0

citations
Inter-Facility Evaluation of Machine Learning Based Deep Hematopoietic Cell Classifiers for Cytological Evaluation of Hematopoiesis
2023 Blood conference-abstract Computer Science Digital Imaging for Blood Diseases Open access

Julian Thull, Martina Margrit Crysandt, Barbara M. Klinkhammer, Peter Boor, Tim H. Brümmendorf, Volkmar Schulz, +2 more

0

citations
The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks
2020 PLoS Computational Biology article Computer Science Neural Networks and Applications Open access

Matthieu Gilson, David Dahmen, Rubén Moreno‐Bote, Andrea Insabato, Moritz Helias

11

citations
Automated PD-L1 Scoring Using Artificial Intelligence in Head and Neck Squamous Cell Carcinoma
2021 Cancers article Computer Science AI in cancer detection Open access

Behrus Puladi, Mark Ooms, Svetlana Kintsler, Khosrow Siamak Houschyar, Florian Steib, Ali Modabber, +3 more

48

citations