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Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations.

A. Immer, T. van der Ouderaa, G. Rätsch, V. Fortuin, and M. van der Wilk. NeurIPS, (2022)

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Martin Immer

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Karl Immer

Peter Immer

Other publications of authors with the same name

Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels.A. Immer, T. van der Ouderaa, M. van der Wilk, G. Rätsch, and B. Schölkopf. ICML, volume 202 of Proceedings of Machine Learning Research, page 14333-14352. PMLR, (2023)Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations.A. Immer, T. van der Ouderaa, G. Rätsch, V. Fortuin, and M. van der Wilk. NeurIPS, (2022)On the Identifiability and Estimation of Causal Location-Scale Noise Models.A. Immer, C. Schultheiss, J. Vogt, B. Schölkopf, P. Bühlmann, and A. Marx. ICML, volume 202 of Proceedings of Machine Learning Research, page 14316-14332. PMLR, (2023)Efficient learning of smooth probability functions from Bernoulli tests with guarantees.P. Rolland, A. Kavis, A. Immer, A. Singla, and V. Cevher. ICML, volume 97 of Proceedings of Machine Learning Research, page 5459-5467. PMLR, (2019)Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion.A. Meterez, A. Joudaki, F. Orabona, A. Immer, G. Rätsch, and H. Daneshmand. CoRR, (2023)Sub-Matrix Factorization for Real-Time Vote Prediction.A. Immer, V. Kristof, M. Grossglauser, and P. Thiran. KDD, page 2280-2290. ACM, (2020)Laplace Redux - Effortless Bayesian Deep Learning.E. Daxberger, A. Kristiadi, A. Immer, R. Eschenhagen, M. Bauer, and P. Hennig. NeurIPS, page 20089-20103. (2021)Optimizing Routes of Public Transportation Systems by Analyzing the Data of Taxi Rides.K. Richly, R. Teusner, A. Immer, F. Windheuser, and L. Wolf. UrbanGIS@SIGSPATIAL, page 70-76. ACM, (2015)Learning Layer-wise Equivariances Automatically using Gradients.T. van der Ouderaa, A. Immer, and M. van der Wilk. CoRR, (2023)Laplace-Approximated Neural Additive Models: Improving Interpretability with Bayesian Inference.K. Bouchiat, A. Immer, H. Yèche, G. Rätsch, and V. Fortuin. CoRR, (2023)

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Disambiguation of "Immer, Alexander"

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Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations.

Please choose a person to relate this publication to

Martin Immer

Verena Immer

Lena Immer

Karl Immer

Peter Immer

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Immer, Alexander"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations.

Please choose a person to relate this publication to

Martin Immer

Verena Immer

Lena Immer

Karl Immer

Peter Immer

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations.