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Robert Bamler
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Zitiert von
Jahr
Dynamic word embeddings
R Bamler, S Mandt
International Conference on Machine Learning, 380-389, 2017
4802017
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
1502013
Improving Inference for Neural Image Compression
Y Yang, R Bamler, S Mandt
arXiv preprint arXiv:2006.04240, 2020
1122020
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
1082013
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
782020
Hydrodynamic object recognition: when multipoles count
AB Sichert, R Bamler, JL van Hemmen
Physical review letters 102 (5), 058104, 2009
472009
Perturbative black box variational inference
R Bamler, C Zhang, M Opper, S Mandt
Advances in Neural Information Processing Systems, 5079-5088, 2017
392017
Variational Bayesian Quantization
Y Yang, R Bamler, S Mandt
Proceedings of the 37 th International Conference on Machine Learning, 2020
282020
Extreme Classification via Adversarial Softmax Approximation
R Bamler, S Mandt
arXiv preprint arXiv:2002.06298, 2020
262020
Hybridizing physical and data-driven prediction methods for physicochemical properties
F Jirasek, R Bamler, S Mandt
Chemical Communications 56 (82), 12407-12410, 2020
222020
DYNAMIC WORD EMBEDDINGS
SM Mandt, R Bamler
US Patent App. 15/828,884, 2018
202018
User-Dependent Neural Sequence Models for Continuous-Time Event Data
A Boyd, R Bamler, S Mandt, P Smyth
arXiv preprint arXiv:2011.03231, 2020
192020
Improving Optimization for Models With Continuous Symmetry Breaking
R Bamler, S Mandt
International Conference on Machine Learning, 432-441, 2018
162018
Structured black box variational inference for latent time series models
R Bamler, S Mandt
arXiv preprint arXiv:1707.01069, 2017
152017
Making thermodynamic models of mixtures predictive by machine learning: matrix completion of pair interactions
F Jirasek, R Bamler, S Fellenz, M Bortz, M Kloft, S Mandt, H Hasse
Chemical Science 13 (17), 4854-4862, 2022
132022
Understanding Entropy Coding With Asymmetric Numeral Systems (ANS): a Statistician's Perspective
R Bamler
arXiv preprint arXiv:2201.01741, 2022
102022
Augmenting and Tuning Knowledge Graph Embeddings
R Bamler, F Salehi, S Mandt
Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 172, 2019
92019
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
92015
Probabilistic knowledge graph embeddings
F Salehi, R Bamler, S Mandt
72018
Bayesian Paragraph Vectors
G Ji, R Bamler, EB Sudderth, S Mandt
arXiv preprint arXiv:1711.03946, 2017
72017
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