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Papers matching “Bayesian neural networks” 98

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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 self-supervised, physics-aware, Bayesian neural network architecture for modelling galaxy emission-line kinematics
2021 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access

James M Dawson, Timothy A. Davis, Edward L Gomez, Justus Schock

3

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

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

0

citations
Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth Estimation
2024 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Richard D. Paul, Alessio Quercia, Vincent Fortuin, Katharina Nöh, Hanno Scharr

0

citations
Classification of Fermi-LAT blazars with Bayesian neural networks
2022 Journal of Cosmology and Astroparticle Physics article Physics and Astronomy Astrophysics and Cosmic Phenomena Open access

Anja Butter, Thorben Finke, Felicitas Keil, M. Krämer, Silvia Manconi

14

citations
Searching for dark matter subhalos in the Fermi-LAT catalog with Bayesian neural networks
2023 Journal of Cosmology and Astroparticle Physics article Physics and Astronomy Dark Matter and Cosmic Phenomena Open access

Anja Butter, M. Krämer, Silvia Manconi, Kathrin Nippel

5

citations
Convolutional neural networks as an alternative to Bayesian retrievals for interpreting exoplanet transmission spectra
2022 Astronomy and Astrophysics article Physics and Astronomy Stellar, planetary, and galactic studies Open access

Francisco Ardévol Martínez, Michiel Min, I. Kamp, Paul I. Palmer

32

citations
A Bayesian regularization-backpropagation neural network model for peeling computations
2021 The Journal of Adhesion article Engineering Adhesion, Friction, and Surface Interactions Open access

Saipraneeth Gouravaraju, Jyotindra Narayan, Roger A. Sauer, Sachin Singh Gautam

89

citations
Estimating photometric redshifts for galaxies from the DESI Legacy Imaging Surveys with Bayesian neural networks trained by DESI EDR
2024 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access

Xingchen Zhou, Nan Li, Hu Zou, Yan Gong, Furen Deng, Xuelei Chen, +3 more

7

citations
Uncertainty Quantification Based on Bayesian Neural Networks for Predictive Quality
2022 Springer eBooks book-chapter Engineering Fault Detection and Control Systems

Simon Cramer, Meike Huber, Robert Heinrich Schmitt

8

citations
Fine-Tuning of Neural Network Approximate MPC without Retraining via Bayesian Optimization
2025 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Henrik Hose, Paul Brunzema, Alexander von Rohr, Alexander Gräfe, Angela P. Schoellig, Sebastian Trimpe

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

0

citations
Faults representation and uncertainty quantification in three-dimensional implicit geological modeling with neural network
2026 RWTH Publications (RWTH Aachen) dissertation Earth and Planetary Sciences Geological Modeling and Analysis Open access

Kaifeng Gao

0

citations
Experimental validation of a neural-network-based method for fault detection in heat pump evaporators
2026 Energy and AI article Engineering Fault Detection and Control Systems Open access

Lasse Jöhnk, Sebastian Borges, Leon Weingarten, Tim Klebig, Christian Vering, Dirk Müller

0

citations
Critical feature learning in deep neural networks
2024 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Javed Lindner, David Dahmen, Zohar Ringel, M. Krämer, Moritz Helias

0

citations
Reliability analysis of complex systems using subset simulations with Hamiltonian Neural Networks
2024 Structural Safety article Decision Sciences Probabilistic and Robust Engineering Design Open access

Denny Thaler, Somayajulu L. N. Dhulipala, Franz Bamer, Bernd A. Markert, Michael D. Shields

24

citations
Semi-Structured Distributional Regression -- Extending Structured Additive Models by Arbitrary Deep Neural Networks and Data Modalities
2020 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

David Rügamer, Chris Kolb, Nadja Klein

2

citations
Neural network based image reconstruction with astrophysical priors
2020 conference-paper Physics and Astronomy Adaptive optics and wavefront sensing Open access

J. Kluska, Hans Van Winckel

1

citations
A general physics-informed neural network framework for fatigue life prediction of metallic materials
2025 Engineering Fracture Mechanics article Engineering Fatigue and fracture mechanics Open access

Shuwei Zhou, Manuel Henrich, Zhichao Wei, Feng Feng, Bing Yang, Sebastian Münstermann

37

citations
Statistical physics, Bayesian inference, and neural information processing
2024 Journal of Statistical Mechanics Theory and Experiment article Computer Science Bayesian Modeling and Causal Inference Open access

Erin Grant, Sandra Nestler, Berfin Şimşek, Sara A. Solla

1

citations
Using Statistical Emulation and Knowledge of Grain-surface Diffusion for Bayesian Inference of Reaction Rate Parameters: An Application to a Glycine Network
2022 The Astrophysical Journal article Physics and Astronomy Astrophysics and Star Formation Studies Open access

Johannes Heyl, Jonathan Holdship, S. Viti

6

citations
Neural network emulator to constrain the high-z IGM thermal state from Lyman-α forest flux autocorrelation function
2024 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access

Molly Wolfson, Joseph F. Hennawi, Diego González-Hernández

0

citations