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Roland Vollgraf
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2020 – today
- 2024
- [i17]Kasra Hosseini, Thomas Kober, Josip Krapac, Roland Vollgraf, Weiwei Cheng, Ana Peleteiro-Ramallo:
Retrieve, Annotate, Evaluate, Repeat: Leveraging Multimodal LLMs for Large-Scale Product Retrieval Evaluation. CoRR abs/2409.11860 (2024) - 2023
- [c21]Qinjin Jia, Yang Liu, Daoping Wu, Shaoyuan Xu, Huidong Liu, Jinmiao Fu, Roland Vollgraf, Bryan Wang:
KG-FLIP: Knowledge-guided Fashion-domain Language-Image Pre-training for E-commerce. ACL (industry) 2023: 81-88 - 2021
- [c20]Kashif Rasul, Abdul-Saboor Sheikh, Ingmar Schuster, Urs M. Bergmann, Roland Vollgraf:
Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows. ICLR 2021 - [c19]Kashif Rasul, Calvin Seward, Ingmar Schuster, Roland Vollgraf:
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting. ICML 2021: 8857-8868 - [i16]Kashif Rasul, Calvin Seward, Ingmar Schuster, Roland Vollgraf:
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting. CoRR abs/2101.12072 (2021) - [i15]Nikolay Jetchev, Gökhan Yildirim, Christian Bracher, Roland Vollgraf:
Grid Partitioned Attention: Efficient TransformerApproximation with Inductive Bias for High Resolution Detail Generation. CoRR abs/2107.03742 (2021) - 2020
- [c18]Kishaloy Halder, Alan Akbik, Josip Krapac, Roland Vollgraf:
Task-Aware Representation of Sentences for Generic Text Classification. COLING 2020: 3202-3213 - [c17]Julia Lasserre, Abdul-Saboor Sheikh, Evgenii Koriagin, Urs Bergmann, Roland Vollgraf, Reza Shirvany:
Meta-Learning for Size and Fit Recommendation in Fashion. SDM 2020: 55-63 - [i14]Kashif Rasul, Abdul-Saboor Sheikh, Ingmar Schuster, Urs Bergmann, Roland Vollgraf:
Multi-variate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows. CoRR abs/2002.06103 (2020) - [i13]Ralf Herbrich, Rajeev Rastogi, Roland Vollgraf:
CRISP: A Probabilistic Model for Individual-Level COVID-19 Infection Risk Estimation Based on Contact Data. CoRR abs/2006.04942 (2020)
2010 – 2019
- 2019
- [c16]Gökhan Yildirim, Nikolay Jetchev, Roland Vollgraf, Urs Bergmann:
Generating High-Resolution Fashion Model Images Wearing Custom Outfits. ICCV Workshops 2019: 3161-3164 - [c15]Alan Akbik, Tanja Bergmann, Duncan Blythe, Kashif Rasul, Stefan Schweter, Roland Vollgraf:
FLAIR: An Easy-to-Use Framework for State-of-the-Art NLP. NAACL-HLT (Demonstrations) 2019: 54-59 - [c14]Alan Akbik, Tanja Bergmann, Roland Vollgraf:
Pooled Contextualized Embeddings for Named Entity Recognition. NAACL-HLT (1) 2019: 724-728 - [c13]Abdul-Saboor Sheikh, Romain Guigourès, Evgenii Koriagin, Yuen King Ho, Reza Shirvany, Roland Vollgraf, Urs Bergmann:
A deep learning system for predicting size and fit in fashion e-commerce. RecSys 2019: 110-118 - [i12]Andreas Merentitis, Kashif Rasul, Roland Vollgraf, Abdul-Saboor Sheikh, Urs Bergmann:
A Bandit Framework for Optimal Selection of Reinforcement Learning Agents. CoRR abs/1902.03657 (2019) - [i11]Roland Vollgraf:
Learning Set-equivariant Functions with SWARM Mappings. CoRR abs/1906.09400 (2019) - [i10]Abdul-Saboor Sheikh, Romain Guigourès, Evgenii Koriagin, Yuen King Ho, Reza Shirvany, Roland Vollgraf, Urs Bergmann:
A Deep Learning System for Predicting Size and Fit in Fashion E-Commerce. CoRR abs/1907.09844 (2019) - [i9]Gökhan Yildirim, Nikolay Jetchev, Roland Vollgraf, Urs Bergmann:
Generating High-Resolution Fashion Model Images Wearing Custom Outfits. CoRR abs/1908.08847 (2019) - [i8]Kashif Rasul, Ingmar Schuster, Roland Vollgraf, Urs Bergmann:
Set Flow: A Permutation Invariant Normalizing Flow. CoRR abs/1909.02775 (2019) - 2018
- [c12]Alan Akbik, Duncan Blythe, Roland Vollgraf:
Contextual String Embeddings for Sequence Labeling. COLING 2018: 1638-1649 - [c11]Julia Lasserre, Christian Bracher, Roland Vollgraf:
Street2Fashion2Shop: Enabling Visual Search in Fashion e-Commerce Using Studio Images. ICPRAM (Revised Selected Papers) 2018: 3-26 - [c10]Julia Lasserre, Katharina Rasch, Roland Vollgraf:
Studio2Shop: From Studio Photo Shoots to Fashion Articles. ICPRAM 2018: 37-48 - [c9]Alan Akbik, Roland Vollgraf:
ZAP: An Open-Source Multilingual Annotation Projection Framework. LREC 2018 - [c8]Leonidas Lefakis, Alan Akbik, Roland Vollgraf:
FEIDEGGER: A Multi-modal Corpus of Fashion Images and Descriptions in German. LREC 2018 - [i7]Duncan Blythe, Alan Akbik, Roland Vollgraf:
Syntax-Aware Language Modeling with Recurrent Neural Networks. CoRR abs/1803.03665 (2018) - [i6]Julia Lasserre, Katharina Rasch, Roland Vollgraf:
Studio2Shop: from studio photo shoots to fashion articles. CoRR abs/1807.00556 (2018) - 2017
- [c7]Alan Akbik, Roland Vollgraf:
The Projector: An Interactive Annotation Projection Visualization Tool. EMNLP (System Demonstrations) 2017: 43-48 - [c6]Urs Bergmann, Nikolay Jetchev, Roland Vollgraf:
Learning Texture Manifolds with the Periodic Spatial GAN. ICML 2017: 469-477 - [c5]Sebastian Heinz, Christian Bracher, Roland Vollgraf:
An LSTM-Based Dynamic Customer Model for Fashion Recommendation. RecTemp@RecSys 2017: 45-49 - [i5]Urs Bergmann, Nikolay Jetchev, Roland Vollgraf:
Learning Texture Manifolds with the Periodic Spatial GAN. CoRR abs/1705.06566 (2017) - [i4]Sebastian Heinz, Christian Bracher, Roland Vollgraf:
An LSTM-Based Dynamic Customer Model for Fashion Recommendation. CoRR abs/1708.07347 (2017) - [i3]Han Xiao, Kashif Rasul, Roland Vollgraf:
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms. CoRR abs/1708.07747 (2017) - 2016
- [i2]Christian Bracher, Sebastian Heinz, Roland Vollgraf:
Fashion DNA: Merging Content and Sales Data for Recommendation and Article Mapping. CoRR abs/1609.02489 (2016) - [i1]Nikolay Jetchev, Urs Bergmann, Roland Vollgraf:
Texture Synthesis with Spatial Generative Adversarial Networks. CoRR abs/1611.08207 (2016)
2000 – 2009
- 2007
- [j3]Mathias Franzius, Roland Vollgraf, Laurenz Wiskott
:
From grids to places. J. Comput. Neurosci. 22(3): 297-299 (2007) - 2006
- [b1]Roland Vollgraf:
Unsupervised learning methods for statistical signal processing. Berlin Institute of Technology, 2006 - [j2]Roland Vollgraf, Klaus Obermayer:
Improved optimal linear filters for the discrimination of multichannel waveform templates for spike-sorting applications. IEEE Signal Process. Lett. 13(3): 121-124 (2006) - [j1]Roland Vollgraf, Klaus Obermayer:
Quadratic optimization for simultaneous matrix diagonalization. IEEE Trans. Signal Process. 54(9): 3270-3278 (2006) - [c4]Roland Vollgraf, Klaus Obermayer:
Sparse Optimization for Second Order Kernel Methods. IJCNN 2006: 145-152 - 2003
- [c3]Roland Vollgraf, Michael Scholz, Ian A. Meinertzhagen, Klaus Obermayer:
Nonlinear Filtering of Electron Micrographs by Means of Support Vector Regression. NIPS 2003: 717-724 - 2001
- [c2]Roland Vollgraf, Ingo Schießl
Blind Source Separation of Single Components from Linear Mixtures. ICANN 2001: 509-514 - [c1]Roland Vollgraf, Klaus Obermayer:
Multi Dimensional ICA to Separate Correlated Sources. NIPS 2001: 993-1000
Coauthor Index
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last updated on 2024-11-13 23:53 CET by the dblp team
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