Roland Vollgraf
Roland Vollgraf
Zalando Research
Verified email at - Homepage
Cited by
Cited by
Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms
H Xiao, K Rasul, R Vollgraf
arXiv preprint arXiv:1708.07747, 2017
Contextual string embeddings for sequence labeling
A Akbik, D Blythe, R Vollgraf
Proceedings of the 27th international conference on computational …, 2018
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
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
Texture synthesis with spatial generative adversarial networks
N Jetchev, U Bergmann, R Vollgraf
arXiv preprint arXiv:1611.08207, 2016
Autoregressive denoising diffusion models for multivariate probabilistic time series forecasting
K Rasul, C Seward, I Schuster, R Vollgraf
International Conference on Machine Learning, 8857-8868, 2021
Learning texture manifolds with the periodic spatial GAN
U Bergmann, N Jetchev, R Vollgraf
arXiv preprint arXiv:1705.06566, 2017
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
Quadratic optimization for simultaneous matrix diagonalization
R Vollgraf, K Obermayer
IEEE Transactions on Signal Processing 54 (9), 3270-3278, 2006
From grids to places
M Franzius, R Vollgraf, L Wiskott
Journal of computational neuroscience 22, 297-299, 2007
Task-aware representation of sentences for generic text classification
K Halder, A Akbik, J Krapac, R Vollgraf
Proceedings of the 28th International Conference on Computational …, 2020
Fashion-MNIST: a novel image dataset for benchmarking machine learning algorithms. CoRR abs/1708.07747 (2017)
H Xiao, K Rasul, R Vollgraf
arXiv preprint arXiv:1708.07747 4, 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms. Aug. 28
H Xiao, K Rasul, R Vollgraf
arXiv preprint cs.LG/1708.07747, 2017
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
Fashion DNA: merging content and sales data for recommendation and article mapping
C Bracher, S Heinz, R Vollgraf
arXiv preprint arXiv:1609.02489, 2016
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
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
Meta-learning for size and fit recommendation in fashion
J Lasserre, AS Sheikh, E Koriagin, U Bergman, R Vollgraf, R Shirvany
Proceedings of the 2020 SIAM international conference on data mining, 55-63, 2020
Multi dimensional ICA to separate correlated sources
R Vollgraf, K Obermayer
Advances in neural information processing systems 14, 2001
An LSTM-based dynamic customer model for fashion recommendation
S Heinz, C Bracher, R Vollgraf
arXiv preprint arXiv:1708.07347, 2017
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