Seguir
Stephan Mandt
Título
Citado por
Citado por
Año
Advances in variational inference
C Zhang, J Bütepage, H Kjellström, S Mandt
IEEE transactions on pattern analysis and machine intelligence 41 (8), 2008-2026, 2018
7132018
Stochastic Gradient Descent as Approximate Bayesian Inference
S Mandt, MD Hoffman, DM Blei
Journal of Machine Learning Research 18, 1-35, 2017
6102017
Fermionic transport and out-of-equilibrium dynamics in a homogeneous Hubbard model with ultracold atoms
U Schneider, L Hackermüller, JP Ronzheimer, S Will, S Braun, T Best, ...
Nature Physics 8 (3), 213-218, 2012
5022012
Dynamic Word Embeddings
R Bamler, S Mandt
International Conference on Machine Learning 70, 380-389, 2017
4302017
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, ...
International Conference on Machine Learning, 2020, 2020
3092020
Disentangled Sequential Autoencoder
Y Li, S Mandt
International Conference on Machine Learning 80, 5670-5679, 2018
2892018
Image anomaly detection with generative adversarial networks
L Deecke, R Vandermeulen, L Ruff, S Mandt, M Kloft
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019
2342019
GP-VAE: Deep Probabilistic Time Series Imputation
V Fortuin, D Baranchuk, G Rätsch, S Mandt
Artificial Intelligence and Statistics (AISTATS), 2020, 2020
209*2020
Iterative Amortized Inference
J Marino, Y Yue, S Mandt
International Conference on Machine Learning 80, 3403--3412, 2018
1672018
A Variational Analysis of Stochastic Gradient Algorithms
S Mandt, MD Hoffman, DM Blei
International Conference on Machine Learning 48, 354--363, 2016
1552016
Exponential Family Embeddings
MR Rudolph, FJR Ruiz, S Mandt, DM Blei
Neural Information Processing Systems, 2016
1492016
Equilibration rates and negative absolute temperatures for ultracold atoms in optical lattices
A Rapp, S Mandt, A Rosch
Physical review letters 105 (22), 220405, 2010
1032010
Diffusion probabilistic modeling for video generation
R Yang, P Srivastava, S Mandt
Entropy 25 (10), 1469, 2023
952023
Deep Generative Video Compression
J Han, S Lombardo, C Schroers, S Mandt
Neural Information Processing Systems, 2019
85*2019
Improving inference for neural image compression
Y Yang, R Bamler, S Mandt
Neural Information Processing Systems, 2020
832020
Determinantal Point Processes for Mini-Batch Diversification
C Zhang, H Kjellström, S Mandt
Uncertainty in Artificial Intelligence, 2017
822017
Machine learning in thermodynamics: Prediction of activity coefficients by matrix completion
F Jirasek, RAS Alves, J Damay, RA Vandermeulen, R Bamler, M Bortz, ...
The journal of physical chemistry letters 11 (3), 981-985, 2020
742020
Neural Transformation Learning for Deep Anomaly Detection Beyond Images
C Qiu, T Pfrommer, M Kloft, S Mandt, M Rudolph
International Conference on Machine Learning, 2021
722021
Quasi-Monte Carlo Variational Inference
A Buchholz, F Wenzel, S Mandt
International Conference on Machine Learning 80, 668-677, 2018
642018
Factorized Variational Autoencoders for Modeling Audience Reactions to Movies
Z Deng, R Navarathna, P Carr, S Mandt, Y Yue, I Matthews, G Mori
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
582017
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20