Alexander Immer

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Matthias BauerDeepMind, LondonVerified email at google.com
Mohammad Emtiyaz KhanCenter for Advanced Intelligence Project (AIP), RIKEN, TokyoVerified email at postman.riken.jp
Vincent FortuinPostdoctoral researcher, University of CambridgeVerified email at cam.ac.uk
Runa EschenhagenMSc Student, University of TübingenVerified email at student.uni-tuebingen.de
Ehsan AbediPh.D. Student, Faculty of Mathematics, Bielefeld UniversityVerified email at math.uni-bielefeld.de
Gunnar RätschProfessor, ETH ZürichVerified email at inf.ethz.ch
Philipp HennigUniversity of Tübingen & Max Planck Institute for Intelligent SystemsVerified email at tue.mpg.de
Agustinus KristiadiUniversity of TübingenVerified email at uni-tuebingen.de
Erik DaxbergerPhD at University of Cambridge & MPI for Intelligent SystemsVerified email at cam.ac.uk
Lucas Torroba HennigenMITVerified email at mit.edu
Victor KristofPh. D. Student at EPFLVerified email at epfl.ch

Alexander Immer

PhD student, ETH Zürich, Max Planck Institute for Intelligent Systems

Verified email at inf.ethz.ch - Homepage

Machine Learning Approximate Bayesian Inference


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Approximate inference turns deep networks into gaussian processes ME Khan, A Immer, E Abedi, M Korzepa NeurIPS 2019, 2019	57	2019
Continual deep learning by functional regularisation of memorable past P Pan, S Swaroop, A Immer, R Eschenhagen, RE Turner, ME Khan NeurIPS 2020, 2020	56	2020
Scalable marginal likelihood estimation for model selection in deep learning A Immer, M Bauer, V Fortuin, G Rätsch, ME Khan ICML 2021, 2021	37	2021
Improving predictions of Bayesian neural nets via local linearization A Immer, M Korzepa, M Bauer AISTATS 2021, 703-711, 2021	37*	2021
Laplace Redux--Effortless Bayesian Deep Learning E Daxberger, A Kristiadi, A Immer, R Eschenhagen, M Bauer, P Hennig NeurIPS 2021, 2021	35	2021
Optimizing routes of public transportation systems by analyzing the data of taxi rides K Richly, R Teusner, A Immer, F Windheuser, L Wolf Proceedings of the 1st International ACM SIGSPATIAL Workshop on Smart Cities …, 2015	6	2015
Sub-Matrix Factorization for Real-Time Vote Prediction A Immer, V Kristof, M Grossglauser, P Thiran KDD 2020, 2280-2290, 2020	3	2020
Probing as Quantifying the Inductive Bias of Pre-trained Representations A Immer, LT Hennigen, V Fortuin, R Cotterell ACL 2022, 2021	2	2021
Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations A Immer, TFA van der Ouderaa, V Fortuin, G Rätsch, M van der Wilk arXiv preprint arXiv:2202.10638, 2022	1	2022
Pathologies in priors and inference for Bayesian transformers T Cinquin, A Immer, M Horn, V Fortuin AABI 2022, 2021	1	2021
Disentangling the Gauss-Newton Method and Approximate Inference for Neural Networks A Immer École polytechnique fédérale de Lausanne (EPFL), 2020	1	2020
Variational Inference with Numerical Derivatives: variance reduction through coupling A Immer, GP Dehaene arXiv preprint arXiv:1906.06914, 2019		2019
Efficient learning of smooth probability functions from Bernoulli tests with guarantees P Rolland, A Kavis, A Immer, A Singla, V Cevher ICML 2019, 5459-5467, 2019		2019

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