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Robert Bamler
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Año
Dynamic word embeddings
R Bamler, S Mandt
International Conference on Machine Learning, 380-389, 2017
2442017
Giant generic topological Hall resistivity of MnSi under pressure
R Ritz, M Halder, C Franz, A Bauer, M Wagner, R Bamler, A Rosch, ...
Physical Review B 87 (13), 134424, 2013
1322013
Phase-space Berry phases in chiral magnets: Dzyaloshinskii-Moriya interaction and the charge of skyrmions
F Freimuth, R Bamler, Y Mokrousov, A Rosch
Physical Review B 88 (21), 214409, 2013
952013
Hydrodynamic object recognition: when multipoles count
AB Sichert, R Bamler, JL van Hemmen
Physical review letters 102 (5), 058104, 2009
442009
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
372020
Perturbative black box variational inference
R Bamler, C Zhang, M Opper, S Mandt
Advances in Neural Information Processing Systems, 5079-5088, 2017
322017
Improving Inference for Neural Image Compression
Y Yang, R Bamler, S Mandt
arXiv preprint arXiv:2006.04240, 2020
282020
Extreme Classification via Adversarial Softmax Approximation
R Bamler, S Mandt
arXiv preprint arXiv:2002.06298, 2020
192020
Variational Bayesian Quantization
Y Yang, R Bamler, S Mandt
Proceedings of the 37 th International Conference on Machine Learning, 2020
132020
Improving Optimization for Models With Continuous Symmetry Breaking
R Bamler, S Mandt
International Conference on Machine Learning, 432-441, 2018
122018
Hybridizing physical and data-driven prediction methods for physicochemical properties
F Jirasek, R Bamler, S Mandt
Chemical Communications 56 (82), 12407-12410, 2020
92020
Structured black box variational inference for latent time series models
R Bamler, S Mandt
arXiv preprint arXiv:1707.01069, 2017
92017
Equilibration and approximate conservation laws: Dipole oscillations and perfect drag of ultracold atoms in a harmonic trap
R Bamler, A Rosch
Physical Review A 91 (6), 063604, 2015
82015
Bayesian Paragraph Vectors
G Ji, R Bamler, EB Sudderth, S Mandt
arXiv preprint arXiv:1711.03946, 2017
72017
User-Dependent Neural Sequence Models for Continuous-Time Event Data
A Boyd, R Bamler, S Mandt, P Smyth
arXiv preprint arXiv:2011.03231, 2020
62020
Augmenting and Tuning Knowledge Graph Embeddings
R Bamler, F Salehi, S Mandt
Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 172, 2019
62019
Probabilistic knowledge graph embeddings
F Salehi, R Bamler, S Mandt
42018
Variable-Bitrate Neural Compression via Bayesian Arithmetic Coding
Y Yang, R Bamler, S Mandt
arXiv preprint arXiv:2002.08158, 2020
32020
Tightening bounds for variational inference by revisiting perturbation theory
R Bamler, C Zhang, M Opper, S Mandt
Journal of Statistical Mechanics: Theory and Experiment 2019 (12), 124004, 2019
32019
Phase-Space Berry Phases in Chiral Magnets: Skyrmion Charge, Hall Effect, and Dynamics of Magnetic Skyrmions
R Bamler
Universität zu Köln, 2016
22016
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Artículos 1–20