Urs Bergmann

According to our database, Urs Bergmann authored at least 21 papers between 2010 and 2022.

Collaborative distances:

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

2022

Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations.

Mehdi S. M. Sajjadi, Henning Meyer, Etienne Pot, Urs Bergmann, Klaus Greff, Noha Radwan, Suhani Vora, Mario Lucic, Daniel Duckworth, Alexey Dosovitskiy, Jakob Uszkoreit, Thomas A. Funkhouser, Andrea Tagliasacchi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Hebbian plasticity in parallel synaptic pathways: A circuit mechanism for systems memory consolidation.

Michiel W. H. Remme, Urs Bergmann, Denis Alevi, Susanne Schreiber, Henning Sprekeler, Richard Kempter

PLoS Comput. Biol., 2021

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

2019

Transform the Set: Memory Attentive Generation of Guided and Unguided Image Collages.

Nikolay Jetchev, Urs Bergmann, Gökhan Yildirim

CoRR, 2019

Set Flow: A Permutation Invariant Normalizing Flow.

Kashif Rasul, Ingmar Schuster, Roland Vollgraf, Urs Bergmann

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

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

Copy the Old or Paint Anew? An Adversarial Framework for (non-) Parametric Image Stylization.

Nikolay Jetchev, Urs Bergmann, Gökhan Yildirim

CoRR, 2018

Disentangling Multiple Conditional Inputs in GANs.

Gökhan Yildirim, Calvin Seward, Urs Bergmann

CoRR, 2018

A hierarchical bayesian model for size recommendation in fashion.

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

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

First Order Generative Adversarial Networks.

Calvin Seward, Thomas Unterthiner, Urs Bergmann, Nikolay Jetchev, Sepp Hochreiter

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Stochastic Maximum Likelihood Optimization via Hypernetworks.

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

CoRR, 2017

GANosaic: Mosaic Creation with Generative Texture Manifolds.

Nikolay Jetchev, Urs Bergmann, Calvin Seward

CoRR, 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 Conditional Analogy GAN: Swapping Fashion Articles on People Images.

Nikolay Jetchev, Urs Bergmann

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

Texture Synthesis with Spatial Generative Adversarial Networks.

Nikolay Jetchev, Urs Bergmann, Roland Vollgraf

CoRR, 2016

2011

Self-Organization of Topographic Bilinear Networks for Invariant Recognition.

Urs Bergmann, Christoph von der Malsburg

Neural Comput., 2011

2010

Self-Organization of Steerable Topographic Mappings as Basis for Translation Invariance.

Junmei Zhu, Urs Bergmann, Christoph von der Malsburg

Proceedings of the Artificial Neural Networks, 2010

A Bilinear Model for Consistent Topographic Representations.

Urs Bergmann, Christoph von der Malsburg

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010