Roland Vollgraf
Roland Vollgraf
Zalando Research
Verified email at zalando.de - Homepage
Title
Cited by
Cited by
Year
Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms
H Xiao, K Rasul, R Vollgraf
arXiv preprint arXiv:1708.07747, 2017
26732017
Contextual string embeddings for sequence labeling
A Akbik, D Blythe, R Vollgraf
Proceedings of the 27th international conference on computational …, 2018
8372018
FLAIR: An easy-to-use framework for state-of-the-art NLP
A Akbik, T Bergmann, D Blythe, K Rasul, S Schweter, R Vollgraf
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
2402019
Pooled contextualized embeddings for named entity recognition
A Akbik, T Bergmann, R Vollgraf
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
1802019
Quadratic optimization for simultaneous matrix diagonalization
R Vollgraf, K Obermayer
IEEE Transactions on Signal Processing 54 (9), 3270-3278, 2006
1302006
Texture synthesis with spatial generative adversarial networks
N Jetchev, U Bergmann, R Vollgraf
arXiv preprint arXiv:1611.08207, 2016
1192016
Learning texture manifolds with the periodic spatial GAN
U Bergmann, N Jetchev, R Vollgraf
arXiv preprint arXiv:1705.06566, 2017
922017
Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms (2017)
H Xiao, K Rasul, R Vollgraf
arXiv preprint cs.LG/1708.07747 32, 2017
762017
From grids to places
M Franzius, R Vollgraf, L Wiskott
Journal of computational neuroscience 22 (3), 297-299, 2007
732007
Fashion-mnist: A novel image dataset for benchmarking machine learning algorithms. arXiv 2017
H Xiao, K Rasul, R Vollgraf
arXiv preprint arXiv:1708.07747, 2017
692017
Fashion DNA: merging content and sales data for recommendation and article mapping
C Bracher, S Heinz, R Vollgraf
arXiv preprint arXiv:1609.02489, 2016
372016
Improved optimal linear filters for the discrimination of multichannel waveform templates for spike-sorting applications
R Vollgraf, K Obermayer
IEEE Signal Processing Letters 13 (3), 121-124, 2006
312006
Multi Dimensional ICA to Separate Correlated Sources.
R Vollgraf, K Obermayer
NIPS, 993-1000, 2001
262001
Generating high-resolution fashion model images wearing custom outfits
G Yildirim, N Jetchev, R Vollgraf, U Bergmann
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
182019
Multivariate probabilistic time series forecasting via conditioned normalizing flows
K Rasul, AS Sheikh, I Schuster, U Bergmann, R Vollgraf
arXiv preprint arXiv:2002.06103, 2020
132020
An LSTM-based dynamic customer model for fashion recommendation
S Heinz, C Bracher, R Vollgraf
arXiv preprint arXiv:1708.07347, 2017
132017
Optimal filtering for spike sorting of multi-site electrode recordings
R Vollgraf, M Munk, K Obermayer
Network: Computation in Neural Systems 16 (1), 85-113, 2005
132005
A deep learning system for predicting size and fit in fashion e-commerce
AS Sheikh, R Guigourès, E Koriagin, YK Ho, R Shirvany, R Vollgraf, ...
Proceedings of the 13th ACM conference on recommender systems, 110-118, 2019
122019
Nonlinear Filtering of Electron Micrographs by Means of Support Vector Regression.
R Vollgraf, M Scholz, IA Meinertzhagen, K Obermayer
NIPS, 717-724, 2003
102003
Sparse optimization for second order kernel methods
R Vollgraf, K Obermayer
The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006
82006
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Articles 1–20