Blind Source Separation of Single Components from Linear Mixtures. - Roland Vollgraf; Ingo Schießl; Klaus Obermayer (ICANN, 2001)

Multi Dimensional ICA to Separate Correlated Sources. - Roland Vollgraf; Klaus Obermayer (NIPS, 2001)

Nonlinear Filtering of Electron Micrographs by Means of Support Vector Regression. - Roland Vollgraf; Michael Scholz; Ian A. Meinertzhagen; Klaus Obermayer (NIPS, 2003)

Sparse Optimization for Second Order Kernel Methods. - Roland Vollgraf; Klaus Obermayer (IJCNN, 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)

Quadratic optimization for simultaneous matrix diagonalization. - Roland Vollgraf; Klaus Obermayer (IEEE Trans. Signal Process., 2006)

Unsupervised learning methods for statistical signal processing. - Roland Vollgraf (2006)

From grids to places. - Mathias Franzius; Roland Vollgraf; Laurenz Wiskott (J. Comput. Neurosci., 2007)

Fashion DNA: Merging Content and Sales Data for Recommendation and Article Mapping. - Christian Bracher; Sebastian Heinz; Roland Vollgraf (CoRR, 2016)

Texture Synthesis with Spatial Generative Adversarial Networks. - Nikolay Jetchev; Urs Bergmann; Roland Vollgraf (CoRR, 2016)

The Projector: An Interactive Annotation Projection Visualization Tool. - Alan Akbik; Roland Vollgraf (EMNLP (System Demonstrations), 2017)

Learning Texture Manifolds with the Periodic Spatial GAN. - Urs Bergmann; Nikolay Jetchev; Roland Vollgraf (ICML, 2017)

An LSTM-Based Dynamic Customer Model for Fashion Recommendation. - Sebastian Heinz; Christian Bracher; Roland Vollgraf (RecTemp@RecSys, 2017)

Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms. - Han Xiao; Kashif Rasul; Roland Vollgraf (CoRR, 2017)

Contextual String Embeddings for Sequence Labeling. - Alan Akbik; Duncan Blythe; Roland Vollgraf (COLING, 2018)

Street2Fashion2Shop: Enabling Visual Search in Fashion e-Commerce Using Studio Images. - Julia Lasserre; Christian Bracher; Roland Vollgraf (ICPRAM (Revised Selected Papers), 2018)

Studio2Shop: From Studio Photo Shoots to Fashion Articles. - Julia Lasserre; Katharina Rasch; Roland Vollgraf (ICPRAM, 2018)

ZAP: An Open-Source Multilingual Annotation Projection Framework. - Alan Akbik; Roland Vollgraf (LREC, 2018)

FEIDEGGER: A Multi-modal Corpus of Fashion Images and Descriptions in German. - Leonidas Lefakis; Alan Akbik; Roland Vollgraf (LREC, 2018)

Syntax-Aware Language Modeling with Recurrent Neural Networks. - Duncan Blythe; Alan Akbik; Roland Vollgraf (CoRR, 2018)

Generating High-Resolution Fashion Model Images Wearing Custom Outfits. - Gökhan Yildirim 001; Nikolay Jetchev; Roland Vollgraf; Urs Bergmann (ICCV Workshops, 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 (NAACL-HLT (Demonstrations), 2019)

Pooled Contextualized Embeddings for Named Entity Recognition. - Alan Akbik; Tanja Bergmann; Roland Vollgraf (NAACL-HLT (1), 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 (RecSys, 2019)

A Bandit Framework for Optimal Selection of Reinforcement Learning Agents. - Andreas Merentitis; Kashif Rasul; Roland Vollgraf; Abdul-Saboor Sheikh; Urs Bergmann (CoRR, 2019)

Learning Set-equivariant Functions with SWARM Mappings. - Roland Vollgraf (CoRR, 2019)

Set Flow: A Permutation Invariant Normalizing Flow. - Kashif Rasul; Ingmar Schuster; Roland Vollgraf; Urs Bergmann (CoRR, 2019)

Task-Aware Representation of Sentences for Generic Text Classification. - Kishaloy Halder; Alan Akbik; Josip Krapac; Roland Vollgraf (COLING, 2020)

Meta-Learning for Size and Fit Recommendation in Fashion. - Julia Lasserre; Abdul-Saboor Sheikh; Evgenii Koriagin; Urs Bergmann; Roland Vollgraf; Reza Shirvany (SDM, 2020)

Multi-variate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows. - Kashif Rasul; Abdul-Saboor Sheikh; Ingmar Schuster; Urs Bergmann; Roland Vollgraf (CoRR, 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)

Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows. - Kashif Rasul; Abdul-Saboor Sheikh; Ingmar Schuster; Urs M. Bergmann; Roland Vollgraf (ICLR, 2021)

Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting. - Kashif Rasul; Calvin Seward; Ingmar Schuster; Roland Vollgraf (ICML, 2021)

Grid Partitioned Attention: Efficient TransformerApproximation with Inductive Bias for High Resolution Detail Generation. - Nikolay Jetchev; Gökhan Yildirim 001; Christian Bracher; Roland Vollgraf (CoRR, 2021)

KG-FLIP: Knowledge-guided Fashion-domain Language-Image Pre-training for E-commerce. - Qinjin Jia; Yang Liu 019; Daoping Wu; Shaoyuan Xu; Huidong Liu; Jinmiao Fu; Roland Vollgraf; Bryan Wang (ACL (industry), 2023)

Retrieve, Annotate, Evaluate, Repeat: Leveraging Multimodal LLMs for Large-Scale Product Retrieval Evaluation. - Kasra Hosseini; Thomas Kober 001; Josip Krapac; Roland Vollgraf; Weiwei Cheng; Ana Peleteiro-Ramallo (ECIR (1), 2025)