Florian Wenzel

Cited by

	All	Since 2019
Citations	1356	1322
h-index	14	14
i10-index	16	16

380

190

285

201820192020202120222023202428 36 93 236 277 364 316

Public access

View all

14 articles

1 article

available

not available

Based on funding mandates

Co-authors

Stephan MandtAssociate Professor, University of California, IrvineVerified email at uci.edu
Rodolphe JENATTONCTO at BioptimusVerified email at bioptimus.com
Marius KloftProfessor, RPTU Kaiserslautern-LandauVerified email at cs.uni-kl.de
Dustin TranResearch Scientist, GoogleVerified email at google.com
Jasper SnoekGoogle BrainVerified email at google.com
Vincent FortuinPrincipal Investigator, Helmholtz AI & TU MunichVerified email at tum.de
Théo Galy-FajouTechnische Universität BerlinVerified email at tu-berlin.de
Bastiaan S. VeelingMicrosoft Research AmsterdamVerified email at uva.nl
Kevin RothETH ZurichVerified email at inf.ethz.ch
Francesco LocatelloAssistant Professor, ISTAVerified email at ista.ac.at
Tim SalimansGoogle DeepMind AmsterdamVerified email at google.com
Sebastian NowozinGoogle DeepMindVerified email at deepmind.com
Linh TranMetaVerified email at meta.com
Jakub SwiatkowskiAmazonVerified email at amazon.com
Chris RussellAssociate Professor, University of OxfordVerified email at oii.ox.ac.uk
Christoph LippertProfessor, Hasso Plattner Institute, Universität PotsdamVerified email at hpi.de
Max HornApplied Scientist in Causal Representation Learning, Amazon AWS AIVerified email at amazon.de
Dominik ZietlowSecond FoundationVerified email at second-foundation.eu
Patrick JähnichenHead of Research, Aaron.aiVerified email at aaron.ai
Alexander BuchholzAmazonVerified email at amazon.de

Florian Wenzel

CTO/Co-founder at Mirelo AI

Verified email at mirelo.ai - Homepage

Music Models Foundational Models Robust Deep Learning Transformers Diffusion Models


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
How good is the bayes posterior in deep neural networks really? F Wenzel, K Roth, BS Veeling, J Świątkowski, L Tran, S Mandt, J Snoek, ... ICML 2020, 2020	385	2020
Hyperparameter ensembles for robustness and uncertainty quantification F Wenzel, J Snoek, D Tran, R Jenatton NeurIPS 2020, 2020	241	2020
Bayesian neural network priors revisited V Fortuin, A Garriga-Alonso, F Wenzel, G Rätsch, R Turner, ... ICRL 2021, 2021	153	2021
Uncertainty baselines: Benchmarks for uncertainty & robustness in deep learning Z Nado, N Band, M Collier, J Djolonga, MW Dusenberry, S Farquhar, ... arXiv preprint arXiv:2106.04015, 2021	109	2021
Quasi-Monte Carlo Variational Inference A Buchholz, F Wenzel, S Mandt ICML 2018, 2018	71	2018
Assaying out-of-distribution generalization in transfer learning F Wenzel, A Dittadi, PV Gehler, CJ Simon-Gabriel, M Horn, D Zietlow, ... NeurIPS 2022, 2022	65	2022
Scalable Generalized Dynamic Topic Models P Jähnichen, F Wenzel, M Kloft, S Mandt AISTATS 2018, 2018	47	2018
Bayesian Nonlinear Support Vector Machines for Big Data F Wenzel, T Galy-Fajou, M Deutsch, M Kloft ECML 2017, 2017	42	2017
Efficient Gaussian process classification using Polya-Gamma data augmentation F Wenzel, T Galy-Fajou, C Donner, M Kloft, M Opper AAAI Conference on Artificial Intelligence 2019, 2019	40	2019
On stein variational neural network ensembles F D'Angelo, V Fortuin, F Wenzel arXiv preprint arXiv:2106.10760, 2021	29	2021
Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation T Galy-Fajou, F Wenzel, C Donner, M Opper UAI 2019, 2019	29	2019
A data augmentation perspective on diffusion models and retrieval MF Burg, F Wenzel, D Zietlow, M Horn, O Makansi, F Locatello, C Russell TMLR, 2023	22	2023
Sparse moes meet efficient ensembles JU Allingham, F Wenzel, ZE Mariet, B Mustafa, J Puigcerver, N Houlsby, ... TMLR, 2022	22	2022
Are Multimodal Models Robust to Image and Text Perturbations? J Qiu, Y Zhu, X Shi, F Wenzel, Z Tang, D Zhao, B Li, M Li Journal of Data-centric Machine Learning Research, 2024	20	2024
Sparse probit linear mixed model S Mandt, F Wenzel, S Nakajima, J Cunningham, C Lippert, M Kloft Machine Learning 106, 1621-1642, 2017	14	2017
Deep classifiers with label noise modeling and distance awareness V Fortuin, M Collier, F Wenzel, J Allingham, J Liu, D Tran, ... TMLR, 2022	11	2022
Leveraging sparse and shared feature activations for disentangled representation learning M Fumero, F Wenzel, L Zancato, A Achille, E Rodolà, S Soatto, ... NeurIPS 2023, 2023	9	2023
Distilling Ensembles Improves Uncertainty Estimates Z Mariet, R Jenatton, F Wenzel, D Tran Advances in Approximate Bayesian Inference (AABI), 2020	8	2020
On the challenges and opportunities in generative ai L Manduchi, K Pandey, R Bamler, R Cotterell, S Däubener, S Fellenz, ... arXiv preprint arXiv:2403.00025, 2024	7	2024
Quasi-Monte Carlo Flows F Wenzel, A Buchholz, S Mandt NeurIPS Bayesian Deep Learning Workshop, 2018	7	2018

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors