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Publication search results
found 13 matches
- 2024
- Nick Hauptvogel, Christian Igel:
Bayesian vs. PAC-Bayesian Deep Neural Network Ensembles. CoRR abs/2406.05469 (2024) - 2021
- Maximilian L. Croci, Ushnish Sengupta, Matthew P. Juniper:
Data Assimilation Using Heteroscedastic Bayesian Neural Network Ensembles for Reduced-Order Flame Models. ICCS (5) 2021: 408-419 - Maximilian L. Croci, Ushnish Sengupta, Matthew P. Juniper:
Online parameter inference for the simulation of a Bunsen flame using heteroscedastic Bayesian neural network ensembles. CoRR abs/2104.13201 (2021) - 2020
- Tim Pearce:
Uncertainty in neural networks: Bayesian ensembles, priors & prediction intervals. University of Cambridge, UK, 2020 - Ushnish Sengupta, Maximilian L. Croci, Matthew P. Juniper:
Real-time parameter inference in reduced-order flame models with heteroscedastic Bayesian neural network ensembles. CoRR abs/2011.02838 (2020) - 2018
- Tim Pearce, Nicolas Anastassacos, Mohamed Zaki, Andy Neely:
Bayesian Inference with Anchored Ensembles of Neural Networks, and Application to Reinforcement Learning. CoRR abs/1805.11324 (2018) - Tim Pearce, Mohamed Zaki, Andy Neely:
Bayesian Neural Network Ensembles. CoRR abs/1811.12188 (2018) - 2017
- Nick Pawlowski, Miguel Jaques, Ben Glocker:
Efficient variational Bayesian neural network ensembles for outlier detection. ICLR (Workshop) 2017 - Nick Pawlowski, Miguel Jaques, Ben Glocker:
Efficient variational Bayesian neural network ensembles for outlier detection. CoRR abs/1703.06749 (2017) - 2011
- Pablo Alberto Dalbem de Castro, Fernando J. Von Zuben:
Learning Ensembles of Neural Networks by Means of a Bayesian Artificial Immune System. IEEE Trans. Neural Networks 22(2): 304-316 (2011) - 2010
- Seif Eldawlatly, Yang Zhou, Rong Jin, Karim G. Oweiss:
On the Use of Dynamic Bayesian Networks in Reconstructing Functional Neuronal Networks from Spike Train Ensembles. Neural Comput. 22(1): 158-189 (2010) - 2006
- Julio Caballero, Leyden Fernández, José Ignacio Abreu, Michael Fernández:
Amino Acid Sequence Autocorrelation Vectors and Ensembles of Bayesian-Regularized Genetic Neural Networks for Prediction of Conformational Stability of Human Lysozyme Mutants. J. Chem. Inf. Model. 46(3): 1255-1268 (2006) - 2005
- Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman:
An Architecture Combining Bayesian segmentation and Neural Network Ensembles for Protein Secondary Structure Prediction. CIBCB 2005: 498-505
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