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Approximate Bayesian Neural Operators: Uncertainty Quantification for Parametric PDEs.

E. Magnani, N. Krämer, R. Eschenhagen, L. Rosasco, and P. Hennig. CoRR, (2022)

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Eris Runa

Martin Eschenhagen

Indira Benita Runau

Bernd Runau

Edith Eschenhagen

Other publications of authors with the same name

Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective.W. Lin, F. Dangel, R. Eschenhagen, J. Bae, R. Turner, and A. Makhzani. CoRR, (2024)Structured Inverse-Free Natural Gradient: Memory-Efficient & Numerically-Stable KFAC for Large Neural Nets.W. Lin, F. Dangel, R. Eschenhagen, K. Neklyudov, A. Kristiadi, R. Turner, and A. Makhzani. CoRR, (2023)Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks.A. Kristiadi, R. Eschenhagen, and P. Hennig. CoRR, (2022)Benchmarking Neural Network Training Algorithms.G. Dahl, F. Schneider, Z. Nado, N. Agarwal, C. Sastry, P. Hennig, S. Medapati, R. Eschenhagen, P. Kasimbeg, D. Suo and 15 other author(s). CoRR, (2023)Continual Deep Learning by Functional Regularisation of Memorable Past.P. Pan, S. Swaroop, A. Immer, R. Eschenhagen, R. Turner, and M. Khan. NeurIPS, (2020)Promises and Pitfalls of the Linearized Laplace in Bayesian Optimization.A. Kristiadi, A. Immer, R. Eschenhagen, and V. Fortuin. CoRR, (2023)Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures.R. Eschenhagen, A. Immer, R. Turner, F. Schneider, and P. Hennig. CoRR, (2023)Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in Deep Learning.R. Eschenhagen, E. Daxberger, P. Hennig, and A. Kristiadi. CoRR, (2021)Laplace Redux - Effortless Bayesian Deep Learning.E. Daxberger, A. Kristiadi, A. Immer, R. Eschenhagen, M. Bauer, and P. Hennig. NeurIPS, page 20089-20103. (2021)Practical Deep Learning with Bayesian Principles.K. Osawa, S. Swaroop, M. Khan, A. Jain, R. Eschenhagen, R. Turner, and R. Yokota. NeurIPS, page 4289-4301. (2019)

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Disambiguation of "Eschenhagen, Runa"

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Approximate Bayesian Neural Operators: Uncertainty Quantification for Parametric PDEs.

Please choose a person to relate this publication to

Eris Runa

Martin Eschenhagen

Indira Benita Runau

Bernd Runau

Edith Eschenhagen

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Eschenhagen, Runa"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Approximate Bayesian Neural Operators: Uncertainty Quantification for Parametric PDEs.

Please choose a person to relate this publication to

Eris Runa

Martin Eschenhagen

Indira Benita Runau

Bernd Runau

Edith Eschenhagen

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Approximate Bayesian Neural Operators: Uncertainty Quantification for Parametric PDEs.