עקוב אחר
Florian Wenzel
Florian Wenzel
CTO/Co-founder at Mirelo AI
כתובת אימייל מאומתת בדומיין mirelo.ai - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
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
3842020
Hyperparameter ensembles for robustness and uncertainty quantification‏
F Wenzel, J Snoek, D Tran, R Jenatton‏
NeurIPS 2020, 2020‏
2372020
Bayesian neural network priors revisited‏
V Fortuin, A Garriga-Alonso, F Wenzel, G Rätsch, R Turner, ...‏
ICRL 2021, 2021‏
1512021
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
1072021
Quasi-Monte Carlo Variational Inference‏
A Buchholz, F Wenzel, S Mandt‏
ICML 2018, 2018‏
692018
Assaying out-of-distribution generalization in transfer learning‏
F Wenzel, A Dittadi, PV Gehler, CJ Simon-Gabriel, M Horn, D Zietlow, ...‏
NeurIPS 2022, 2022‏
642022
Scalable Generalized Dynamic Topic Models‏
P Jähnichen, F Wenzel, M Kloft, S Mandt‏
AISTATS 2018, 2018‏
472018
Bayesian Nonlinear Support Vector Machines for Big Data‏
F Wenzel, T Galy-Fajou, M Deutsch, M Kloft‏
ECML 2017, 2017‏
422017
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
402019
On stein variational neural network ensembles‏
F D'Angelo, V Fortuin, F Wenzel‏
arXiv preprint arXiv:2106.10760, 2021‏
292021
Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation‏
T Galy-Fajou, F Wenzel, C Donner, M Opper‏
UAI 2019, 2019‏
292019
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
212023
Sparse moes meet efficient ensembles‏
JU Allingham, F Wenzel, ZE Mariet, B Mustafa, J Puigcerver, N Houlsby, ...‏
TMLR, 2022‏
212022
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
202024
Sparse probit linear mixed model‏
S Mandt, F Wenzel, S Nakajima, J Cunningham, C Lippert, M Kloft‏
Machine Learning 106, 1621-1642, 2017‏
142017
Deep classifiers with label noise modeling and distance awareness‏
V Fortuin, M Collier, F Wenzel, J Allingham, J Liu, D Tran, ...‏
TMLR, 2022‏
112022
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
92023
Distilling Ensembles Improves Uncertainty Estimates‏
Z Mariet, R Jenatton, F Wenzel, D Tran‏
Advances in Approximate Bayesian Inference (AABI), 2020‏
82020
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
72024
Quasi-Monte Carlo Flows‏
F Wenzel, A Buchholz, S Mandt‏
NeurIPS Bayesian Deep Learning Workshop, 2018‏
72018
המערכת אינה יכולה לבצע את הפעולה כעת. נסה שוב מאוחר יותר.
מאמרים 1–20