Roland Vollgraf

According to our database, Roland Vollgraf authored at least 36 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Retrieve, Annotate, Evaluate, Repeat: Leveraging Multimodal LLMs for Large-Scale Product Retrieval Evaluation.

Kasra Hosseini, Thomas Kober, Josip Krapac, Roland Vollgraf, Weiwei Cheng, Ana Peleteiro-Ramallo

CoRR, 2024

2023

KG-FLIP: Knowledge-guided Fashion-domain Language-Image Pre-training for E-commerce.

Qinjin Jia, Yang Liu, Daoping Wu, Shaoyuan Xu, Huidong Liu, Jinmiao Fu, Roland Vollgraf, Bryan Wang

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2021

Grid Partitioned Attention: Efficient TransformerApproximation with Inductive Bias for High Resolution Detail Generation.

Nikolay Jetchev, Gökhan Yildirim, Christian Bracher, Roland Vollgraf

CoRR, 2021

Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting.

Kashif Rasul, Calvin Seward, Ingmar Schuster, Roland Vollgraf

Proceedings of the 38th International Conference on Machine Learning, 2021

Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows.

Kashif Rasul, Abdul-Saboor Sheikh, Ingmar Schuster, Urs M. Bergmann, Roland Vollgraf

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

CRISP: A Probabilistic Model for Individual-Level COVID-19 Infection Risk Estimation Based on Contact Data.

Ralf Herbrich, Rajeev Rastogi, Roland Vollgraf

CoRR, 2020

Multi-variate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows.

Kashif Rasul, Abdul-Saboor Sheikh, Ingmar Schuster, Urs Bergmann, Roland Vollgraf

CoRR, 2020

Meta-Learning for Size and Fit Recommendation in Fashion.

Julia Lasserre, Abdul-Saboor Sheikh, Evgenii Koriagin, Urs Bergmann, Roland Vollgraf, Reza Shirvany

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Task-Aware Representation of Sentences for Generic Text Classification.

Kishaloy Halder, Alan Akbik, Josip Krapac, Roland Vollgraf

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Set Flow: A Permutation Invariant Normalizing Flow.

Kashif Rasul, Ingmar Schuster, Roland Vollgraf, Urs Bergmann

CoRR, 2019

Learning Set-equivariant Functions with SWARM Mappings.

Roland Vollgraf

CoRR, 2019

A Bandit Framework for Optimal Selection of Reinforcement Learning Agents.

Andreas Merentitis, Kashif Rasul, Roland Vollgraf, Abdul-Saboor Sheikh, Urs Bergmann

CoRR, 2019

A deep learning system for predicting size and fit in fashion e-commerce.

Abdul-Saboor Sheikh, Romain Guigourès, Evgenii Koriagin, Yuen King Ho, Reza Shirvany, Roland Vollgraf, Urs Bergmann

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Pooled Contextualized Embeddings for Named Entity Recognition.

Alan Akbik, Tanja Bergmann, Roland Vollgraf

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

FLAIR: An Easy-to-Use Framework for State-of-the-Art NLP.

Alan Akbik, Tanja Bergmann, Duncan Blythe, Kashif Rasul, Stefan Schweter, Roland Vollgraf

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Generating High-Resolution Fashion Model Images Wearing Custom Outfits.

Gökhan Yildirim, Nikolay Jetchev, Roland Vollgraf, Urs Bergmann

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Syntax-Aware Language Modeling with Recurrent Neural Networks.

Duncan Blythe, Alan Akbik, Roland Vollgraf

CoRR, 2018

FEIDEGGER: A Multi-modal Corpus of Fashion Images and Descriptions in German.

Leonidas Lefakis, Alan Akbik, Roland Vollgraf

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

ZAP: An Open-Source Multilingual Annotation Projection Framework.

Alan Akbik, Roland Vollgraf

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Studio2Shop: From Studio Photo Shoots to Fashion Articles.

Julia Lasserre, Katharina Rasch, Roland Vollgraf

Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

Street2Fashion2Shop: Enabling Visual Search in Fashion e-Commerce Using Studio Images.

Julia Lasserre, Christian Bracher, Roland Vollgraf

Proceedings of the Pattern Recognition Applications and Methods, 2018

Contextual String Embeddings for Sequence Labeling.

Alan Akbik, Duncan Blythe, Roland Vollgraf

Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017

Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Han Xiao, Kashif Rasul, Roland Vollgraf

CoRR, 2017

An LSTM-Based Dynamic Customer Model for Fashion Recommendation.

Sebastian Heinz, Christian Bracher, Roland Vollgraf

Proceedings of the 1st Workshop on Temporal Reasoning in Recommender Systems co-located with 11th International Conference on Recommender Systems (RecSys 2017), 2017

Learning Texture Manifolds with the Periodic Spatial GAN.

Urs Bergmann, Nikolay Jetchev, Roland Vollgraf

Proceedings of the 34th International Conference on Machine Learning, 2017

The Projector: An Interactive Annotation Projection Visualization Tool.

Alan Akbik, Roland Vollgraf

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Texture Synthesis with Spatial Generative Adversarial Networks.

Nikolay Jetchev, Urs Bergmann, Roland Vollgraf

CoRR, 2016

Fashion DNA: Merging Content and Sales Data for Recommendation and Article Mapping.

Christian Bracher, Sebastian Heinz, Roland Vollgraf

CoRR, 2016

2007

From grids to places.

Mathias Franzius, Roland Vollgraf, Laurenz Wiskott

J. Comput. Neurosci., 2007

2006

Unsupervised learning methods for statistical signal processing.

Roland Vollgraf

PhD thesis, 2006

Quadratic optimization for simultaneous matrix diagonalization.

Roland Vollgraf, Klaus Obermayer

IEEE Trans. Signal Process., 2006

Improved optimal linear filters for the discrimination of multichannel waveform templates for spike-sorting applications.

Roland Vollgraf, Klaus Obermayer

IEEE Signal Process. Lett., 2006

Sparse Optimization for Second Order Kernel Methods.

Roland Vollgraf, Klaus Obermayer

Proceedings of the International Joint Conference on Neural Networks, 2006

2003

Nonlinear Filtering of Electron Micrographs by Means of Support Vector Regression.

Roland Vollgraf, Michael Scholz, Ian A. Meinertzhagen, Klaus Obermayer

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2001

Multi Dimensional ICA to Separate Correlated Sources.

Roland Vollgraf, Klaus Obermayer

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Blind Source Separation of Single Components from Linear Mixtures.

Roland Vollgraf, Ingo Schießl, Klaus Obermayer

Proceedings of the Artificial Neural Networks, 2001