Publications (26)
Comment on "Consistent thermostatistics forbids negative absolute temperatures"
Ulrich Schneider, Stephan Mandt, Akos Rapp +4
Quasi-Monte Carlo Variational Inference
Alexander Buchholz, Florian Wenzel, Stephan Mandt
A Quantum Field Theory of Representation Learning
Robert Bamler, Stephan Mandt
A Variational Analysis of Stochastic Gradient Algorithms
Stephan Mandt, Matthew D. Hoffman, David M. Blei
Stochastic Gradient Descent as Approximate Bayesian Inference
Stephan Mandt, Matthew D. Hoffman, David M. Blei
Iterative Amortized Inference
Joseph Marino, Yisong Yue, Stephan Mandt
Exponential Family Embeddings
Maja R. Rudolph, Francisco J. R. Ruiz, Stephan Mandt +1
Structured Black Box Variational Inference for Latent Time Series Models
Robert Bamler, Stephan Mandt
Determinantal Point Processes for Mini-Batch Diversification
Cheng Zhang, Hedvig Kjellstrom, Stephan Mandt
Relaxation towards negative temperatures in bosonic systems: Generalized Gibbs ensembles and beyond integrability
Stephan Mandt, Adrian E. Feiguin, Salvatore R. Manmana
Fermionic transport in a homogeneous Hubbard model: Out-of-equilibrium dynamics with ultracold atoms
Ulrich Schneider, Lucia Hackermüller, Jens Philipp Ronzheimer +8
Perturbative Black Box Variational Inference
Robert Bamler, Cheng Zhang, Manfred Opper +1
Interacting Fermionic Atoms in Optical Lattices Diffuse Symmetrically Upwards and Downwards in a Gravitational Potential
Stephan Mandt, Akos Rapp, Achim Rosch
Variational Tempering
Stephan Mandt, James McInerney, Farhan Abrol +2
Damping of Bloch oscillations: Variational solutions of the Boltzmann equation beyond linear response
Stephan Mandt
Stochastic Differential Equations for Quantum Dynamics of Spin-Boson Networks
Stephan Mandt, Darius Sadri, Andrew A. Houck +1
Equilibration rates and negative absolute temperatures for ultracold atoms in optical lattices
Akos Rapp, Stephan Mandt, Achim Rosch
Smoothed Gradients for Stochastic Variational Inference
Stephan Mandt, David Blei
Disentangled Sequential Autoencoder
Yingzhen Li, Stephan Mandt
Bayesian Paragraph Vectors
Geng Ji, Robert Bamler, Erik B. Sudderth +1
Dynamic Word Embeddings
Robert Bamler, Stephan Mandt
Augmenting and Tuning Knowledge Graph Embeddings
Robert Bamler, Farnood Salehi, Stephan Mandt
Sparse Probit Linear Mixed Model
Stephan Mandt, Florian Wenzel, Shinichi Nakajima +3
Advances in Variational Inference
Cheng Zhang, Judith Butepage, Hedvig Kjellstrom +1
Scalable Generalized Dynamic Topic Models
Patrick Jähnichen, Florian Wenzel, Marius Kloft +1
Active Mini-Batch Sampling using Repulsive Point Processes
Cheng Zhang, Cengiz Ãztireli, Stephan Mandt +1