A Bilinear Model for Consistent Topographic Representations. - Urs Bergmann; Christoph von der Malsburg (ICANN (3), 2010)

Self-Organization of Steerable Topographic Mappings as Basis for Translation Invariance. - Junmei Zhu; Urs Bergmann; Christoph von der Malsburg (ICANN (2), 2010)

Self-Organization of Topographic Bilinear Networks for Invariant Recognition. - Urs Bergmann; Christoph von der Malsburg (Neural Comput., 2011)

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

The Conditional Analogy GAN: Swapping Fashion Articles on People Images. - Nikolay Jetchev; Urs Bergmann (ICCV Workshops, 2017)

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

GANosaic: Mosaic Creation with Generative Texture Manifolds. - Nikolay Jetchev; Urs Bergmann; Calvin Seward (CoRR, 2017)

Stochastic Maximum Likelihood Optimization via Hypernetworks. - Abdul-Saboor Sheikh; Kashif Rasul; Andreas Merentitis; Urs Bergmann (CoRR, 2017)

First Order Generative Adversarial Networks. - Calvin Seward; Thomas Unterthiner; Urs Bergmann; Nikolay Jetchev; Sepp Hochreiter (ICML, 2018)

A hierarchical bayesian model for size recommendation in fashion. - Romain Guigourès; Yuen King Ho; Evgenii Koriagin; Abdul-Saboor Sheikh; Urs Bergmann; Reza Shirvany (RecSys, 2018)

Disentangling Multiple Conditional Inputs in GANs. - Gökhan Yildirim 001; Calvin Seward; Urs Bergmann (CoRR, 2018)

Copy the Old or Paint Anew? An Adversarial Framework for (non-) Parametric Image Stylization. - Nikolay Jetchev; Urs Bergmann; Gökhan Yildirim 001 (CoRR, 2018)

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

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

Transform the Set: Memory Attentive Generation of Guided and Unguided Image Collages. - Nikolay Jetchev; Urs Bergmann; Gökhan Yildirim 001 (CoRR, 2019)

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)

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)

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; et al. (CVPR, 2022)

Synthesizing 3D Abstractions by Inverting Procedural Buildings with Transformers. - Maximilian Dax; Jordi Berbel; Jan Stria; Leonidas J. Guibas; Urs Bergmann (CoRR, 2025)