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Roland Vollgraf

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

Jul 08, 2021
Nikolay Jetchev, Gökhan Yildirim, Christian Bracher, Roland Vollgraf

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Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting

Feb 02, 2021
Kashif Rasul, Calvin Seward, Ingmar Schuster, Roland Vollgraf

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

Jun 09, 2020
Ralf Herbrich, Rajeev Rastogi, Roland Vollgraf

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Multi-variate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows

Feb 14, 2020
Kashif Rasul, Abdul-Saboor Sheikh, Ingmar Schuster, Urs Bergmann, Roland Vollgraf

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Set Flow: A Permutation Invariant Normalizing Flow

Sep 06, 2019
Kashif Rasul, Ingmar Schuster, Roland Vollgraf, Urs Bergmann

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Generating High-Resolution Fashion Model Images Wearing Custom Outfits

Aug 23, 2019
Gökhan Yildirim, Nikolay Jetchev, Roland Vollgraf, Urs Bergmann

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A Deep Learning System for Predicting Size and Fit in Fashion E-Commerce

Jul 23, 2019
Abdul-Saboor Sheikh, Romain Guigoures, Evgenii Koriagin, Yuen King Ho, Reza Shirvany, Roland Vollgraf, Urs Bergmann

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Learning Set-equivariant Functions with SWARM Mappings

Jun 22, 2019
Roland Vollgraf

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A Bandit Framework for Optimal Selection of Reinforcement Learning Agents

Feb 10, 2019
Andreas Merentitis, Kashif Rasul, Roland Vollgraf, Abdul-Saboor Sheikh, Urs Bergmann

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