Florian Wenzel

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Citations	1507	1437
h-index	16	16
i10-index	19	18

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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
Christoph LippertProfessor, Hasso Plattner Institute, Universität PotsdamVerified email at hpi.de
Chris RussellAssociate Professor, University of OxfordVerified email at oii.ox.ac.uk
Tim SalimansGoogle DeepMind AmsterdamVerified email at google.com
Sebastian NowozinGoogle DeepMindVerified email at deepmind.com
Linh TranMetaVerified email at meta.com
Jakub SwiatkowskiSnowflakeVerified email at snowflake.com
Max HornApplied Scientist in Causal Representation Learning, Amazon AWS AIVerified email at amazon.de
Dominik ZietlowLead Analyst, Second FoundationVerified email at second-foundation.eu
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
Patrick JähnichenHead of Research, Aaron.aiVerified email at aaron.ai

Florian Wenzel

CTO/Co-founder at Mirelo AI

Verified email at mirelo.ai - Homepage

Music Models Foundational Models Robust Deep Learning Transformers Diffusion Models


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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	418	2020
Hyperparameter ensembles for robustness and uncertainty quantification F Wenzel, J Snoek, D Tran, R Jenatton NeurIPS 2020, 2020	264	2020
Bayesian neural network priors revisited V Fortuin, A Garriga-Alonso, F Wenzel, G Rätsch, R Turner, ... ICRL 2021, 2021	171	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	115	2021
Assaying out-of-distribution generalization in transfer learning F Wenzel, A Dittadi, PV Gehler, CJ Simon-Gabriel, M Horn, D Zietlow, ... NeurIPS 2022, 2022	78	2022
Quasi-Monte Carlo Variational Inference A Buchholz, F Wenzel, S Mandt ICML 2018, 2018	75	2018
Scalable Generalized Dynamic Topic Models P Jähnichen, F Wenzel, M Kloft, S Mandt AISTATS 2018, 2018	50	2018
Bayesian Nonlinear Support Vector Machines for Big Data F Wenzel, T Galy-Fajou, M Deutsch, M Kloft ECML 2017, 2017	46	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	41	2019
On stein variational neural network ensembles F D'Angelo, V Fortuin, F Wenzel arXiv preprint arXiv:2106.10760, 2021	34	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	31	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	25	2023
Sparse moes meet efficient ensembles JU Allingham, F Wenzel, ZE Mariet, B Mustafa, J Puigcerver, N Houlsby, ... TMLR, 2022	23	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
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	18	2024
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	17	2023
Sparse probit linear mixed model S Mandt, F Wenzel, S Nakajima, J Cunningham, C Lippert, M Kloft Machine Learning 106, 1621-1642, 2017	15	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
Distilling Ensembles Improves Uncertainty Estimates Z Mariet, R Jenatton, F Wenzel, D Tran Advances in Approximate Bayesian Inference (AABI), 2020	10	2020
Benchmarking robustness of multimodal image-text models under distribution shift J Qiu, Y Zhu, X Shi, F Wenzel, Z Tang, D Zhao, B Li, M Li Journal of Data-centric Machine Learning Research, 2023	8	2023

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