Roland Vollgraf

43 papers A* 3A 2B 5C 2Journal 20Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Retrieve, Annotate, Evaluate, Repeat: Leveraging Multimodal LLMs for Large-Scale Product Retrieval Evaluation. ECIR (1) Kasra Hosseini, Thomas Kober, Josip Krapac, Roland Vollgraf, Weiwei Cheng, Ana Peleteiro-Ramallo
2024	J	`jnl`	Retrieve, Annotate, Evaluate, Repeat: Leveraging Multimodal LLMs for Large-Scale Product Retrieval Evaluation. CoRR Kasra Hosseini, Thomas Kober, Josip Krapac, Roland Vollgraf, Weiwei Cheng, Ana Peleteiro-Ramallo
2023	—	`conf`	KG-FLIP: Knowledge-guided Fashion-domain Language-Image Pre-training for E-commerce. ACL (industry) Qinjin Jia, Yang Liu, Daoping Wu, Shaoyuan Xu, Huidong Liu, Jinmiao Fu, Roland Vollgraf, Bryan Wang
2021	A*	`conf`	Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting. ICML Kashif Rasul, Calvin Seward, Ingmar Schuster, Roland Vollgraf
2021	J	`jnl`	Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting. CoRR Kashif Rasul, Calvin Seward, Ingmar Schuster, Roland Vollgraf
2021	J	`jnl`	Grid Partitioned Attention: Efficient TransformerApproximation with Inductive Bias for High Resolution Detail Generation. CoRR Nikolay Jetchev, Gökhan Yildirim, Christian Bracher, Roland Vollgraf
2021	A*	`conf`	Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows. ICLR Kashif Rasul, Abdul-Saboor Sheikh, Ingmar Schuster, Urs M. Bergmann, Roland Vollgraf
2020	J	`jnl`	CRISP: A Probabilistic Model for Individual-Level COVID-19 Infection Risk Estimation Based on Contact Data. CoRR Ralf Herbrich, Rajeev Rastogi, Roland Vollgraf
2020	A	`conf`	Meta-Learning for Size and Fit Recommendation in Fashion. SDM Julia Lasserre, Abdul-Saboor Sheikh, Evgenii Koriagin, Urs Bergmann, Roland Vollgraf, Reza Shirvany
2020	J	`jnl`	Multi-variate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows. CoRR Kashif Rasul, Abdul-Saboor Sheikh, Ingmar Schuster, Urs Bergmann, Roland Vollgraf
2020	B	`conf`	Task-Aware Representation of Sentences for Generic Text Classification. COLING Kishaloy Halder, Alan Akbik, Josip Krapac, Roland Vollgraf
2019	J	`jnl`	A Bandit Framework for Optimal Selection of Reinforcement Learning Agents. CoRR Andreas Merentitis, Kashif Rasul, Roland Vollgraf, Abdul-Saboor Sheikh, Urs Bergmann
2019	J	`jnl`	A Deep Learning System for Predicting Size and Fit in Fashion E-Commerce. CoRR Abdul-Saboor Sheikh, Romain Guigourès, Evgenii Koriagin, Yuen King Ho, Reza Shirvany, Roland Vollgraf, Urs Bergmann
2019	A	`conf`	A deep learning system for predicting size and fit in fashion e-commerce. RecSys Abdul-Saboor Sheikh, Romain Guigourès, Evgenii Koriagin, Yuen King Ho, Reza Shirvany, Roland Vollgraf, Urs Bergmann
2019	—	`conf`	FLAIR: An Easy-to-Use Framework for State-of-the-Art NLP. NAACL-HLT (Demonstrations) Alan Akbik, Tanja Bergmann, Duncan Blythe, Kashif Rasul, Stefan Schweter, Roland Vollgraf
2019	—	`conf`	Generating High-Resolution Fashion Model Images Wearing Custom Outfits. ICCV Workshops Gökhan Yildirim, Nikolay Jetchev, Roland Vollgraf, Urs Bergmann
2019	J	`jnl`	Generating High-Resolution Fashion Model Images Wearing Custom Outfits. CoRR Gökhan Yildirim, Nikolay Jetchev, Roland Vollgraf, Urs Bergmann
2019	J	`jnl`	Learning Set-equivariant Functions with SWARM Mappings. CoRR Roland Vollgraf
2019	—	`conf`	Pooled Contextualized Embeddings for Named Entity Recognition. NAACL-HLT (1) Alan Akbik, Tanja Bergmann, Roland Vollgraf
2019	J	`jnl`	Set Flow: A Permutation Invariant Normalizing Flow. CoRR Kashif Rasul, Ingmar Schuster, Roland Vollgraf, Urs Bergmann
2018	B	`conf`	Contextual String Embeddings for Sequence Labeling. COLING Alan Akbik, Duncan Blythe, Roland Vollgraf
2018	B	`conf`	FEIDEGGER: A Multi-modal Corpus of Fashion Images and Descriptions in German. LREC Leonidas Lefakis, Alan Akbik, Roland Vollgraf
2018	—	`conf`	Street2Fashion2Shop: Enabling Visual Search in Fashion e-Commerce Using Studio Images. ICPRAM (Revised Selected Papers) Julia Lasserre, Christian Bracher, Roland Vollgraf
2018	C	`conf`	Studio2Shop: From Studio Photo Shoots to Fashion Articles. ICPRAM Julia Lasserre, Katharina Rasch, Roland Vollgraf
2018	J	`jnl`	Studio2Shop: from studio photo shoots to fashion articles. CoRR Julia Lasserre, Katharina Rasch, Roland Vollgraf
2018	J	`jnl`	Syntax-Aware Language Modeling with Recurrent Neural Networks. CoRR Duncan Blythe, Alan Akbik, Roland Vollgraf
2018	B	`conf`	ZAP: An Open-Source Multilingual Annotation Projection Framework. LREC Alan Akbik, Roland Vollgraf
2017	—	`conf`	An LSTM-Based Dynamic Customer Model for Fashion Recommendation. RecTemp@RecSys Sebastian Heinz, Christian Bracher, Roland Vollgraf
2017	J	`jnl`	An LSTM-Based Dynamic Customer Model for Fashion Recommendation. CoRR Sebastian Heinz, Christian Bracher, Roland Vollgraf
2017	J	`jnl`	Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms. CoRR Han Xiao, Kashif Rasul, Roland Vollgraf
2017	A*	`conf`	Learning Texture Manifolds with the Periodic Spatial GAN. ICML Urs Bergmann, Nikolay Jetchev, Roland Vollgraf
2017	J	`jnl`	Learning Texture Manifolds with the Periodic Spatial GAN. CoRR Urs Bergmann, Nikolay Jetchev, Roland Vollgraf
2017	—	`conf`	The Projector: An Interactive Annotation Projection Visualization Tool. EMNLP (System Demonstrations) Alan Akbik, Roland Vollgraf
2016	J	`jnl`	Fashion DNA: Merging Content and Sales Data for Recommendation and Article Mapping. CoRR Christian Bracher, Sebastian Heinz, Roland Vollgraf
2016	J	`jnl`	Texture Synthesis with Spatial Generative Adversarial Networks. CoRR Nikolay Jetchev, Urs Bergmann, Roland Vollgraf
2007	J	`jnl`	From grids to places. J. Comput. Neurosci. Mathias Franzius, Roland Vollgraf, Laurenz Wiskott
2006	J	`jnl`	Improved optimal linear filters for the discrimination of multichannel waveform templates for spike-sorting applications. IEEE Signal Process. Lett. Roland Vollgraf, Klaus Obermayer
2006	J	`jnl`	Quadratic optimization for simultaneous matrix diagonalization. IEEE Trans. Signal Process. Roland Vollgraf, Klaus Obermayer
2006	B	`conf`	Sparse Optimization for Second Order Kernel Methods. IJCNN Roland Vollgraf, Klaus Obermayer
2006	—	`—`	Unsupervised learning methods for statistical signal processing. Roland Vollgraf
2003	—	`conf`	Nonlinear Filtering of Electron Micrographs by Means of Support Vector Regression. NIPS Roland Vollgraf, Michael Scholz, Ian A. Meinertzhagen, Klaus Obermayer
2001	C	`conf`	Blind Source Separation of Single Components from Linear Mixtures. ICANN Roland Vollgraf, Ingo Schießl, Klaus Obermayer
2001	—	`conf`	Multi Dimensional ICA to Separate Correlated Sources. NIPS Roland Vollgraf, Klaus Obermayer