Stephan Mandt
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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
3842012
Stochastic Gradient Descent as Approximate Bayesian Inference
S Mandt, MD Hoffman, DM Blei
Journal of Machine Learning Research 18, 1-35, 2017
2372017
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
1562018
Dynamic Word Embeddings
R Bamler, S Mandt
International Conference on Machine Learning 70, 380-389, 2017
1282017
Exponential family embeddings
M Rudolph, F Ruiz, S Mandt, D Blei
Advances in Neural Information Processing Systems, 478-486, 2016
892016
A Variational Analysis of Stochastic Gradient Algorithms
S Mandt, MD Hoffman, DM Blei
International Conference on Machine Learning 48, 354--363, 2016
862016
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
802010
Disentangled Sequential Autoencoder
Y Li, S Mandt
International Conference on Machine Learning 80, 5670-5679, 2018
54*2018
Determinantal Point Processes for Mini-Batch Diversification
C Zhang, H Kjellström, S Mandt
Uncertainty in Artificial Intelligence, 2017
542017
Iterative Amortized Inference
J Marino, Y Yue, S Mandt
International Conference on Machine Learning 80, 3403--3412, 2018
522018
Image anomaly detection with generative adversarial networks
L Deecke, R Vandermeulen, L Ruff, S Mandt, M Kloft
Joint european conference on machine learning and knowledge discovery in …, 2018
472018
Smoothed gradients for stochastic variational inference
S Mandt, D Blei
Advances in Neural Information Processing Systems, 2438-2446, 2014
312014
Variational tempering
S Mandt, J McInerney, F Abrol, R Ranganath, D Blei
Artificial Intelligence and Statistics, 704-712, 2016
302016
Interacting fermionic atoms in optical lattices diffuse symmetrically upwards and downwards in a gravitational potential
S Mandt, A Rapp, A Rosch
Physical review letters 106 (25), 250602, 2011
282011
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
272017
Quasi-Monte Carlo Variational Inference
A Buchholz, F Wenzel, S Mandt
International Conference on Machine Learning 80, 668-677, 2018
262018
Disentangled sequential autoencoder
L Yingzhen, S Mandt
International Conference on Machine Learning, 5670-5679, 2018
252018
Breakdown of diffusion: From collisional hydrodynamics to a continuous quantum walk in a homogeneous Hubbard model
U Schneider, L Hackermüller, JP Ronzheimer, S Will, S Braun, T Best, ...
arXiv preprint arxiv:1005.3545, 2010
252010
Perturbative Black Box Variational Inference
R Bamler, C Zhang, M Opper, S Mandt
Neural Information Processing Systems (NIPS 2017), 2017
232017
Comment on" Consistent thermostatistics forbids negative absolute temperatures"
U Schneider, S Mandt, A Rapp, S Braun, H Weimer, I Bloch, A Rosch
arXiv preprint arXiv:1407.4127, 2014
212014
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