LP-based Genetic Algorithm for the Minimum Graph Bisection Problem. - Michael Armbruster; Marzena Fügenschuh; Christoph Helmberg; Nikolay Jetchev; Alexander Martin 001 (OR, 2005)

Hybrid Genetic Algorithm Within Branch-and-Cut for the Minimum Graph Bisection Problem. - Michael Armbruster; Marzena Fügenschuh; Christoph Helmberg; Nikolay Jetchev; Alexander Martin 001 (EvoCOP, 2006)

Optimization of fluent approach and grasp motions. - Michael Gienger; Marc Toussaint; Nikolay Jetchev; Achim Bendig; Christian Goerick (Humanoids, 2008)

Trajectory prediction: learning to map situations to robot trajectories. - Nikolay Jetchev; Marc Toussaint (ICML, 2009)

Trajectory prediction in cluttered voxel environments. - Nikolay Jetchev; Marc Toussaint (ICRA, 2010)

Integrated motor control, planning, grasping and high-level reasoning in a blocks world using probabilistic inference. - Marc Toussaint; Nils Plath; Tobias Lang 001; Nikolay Jetchev (ICRA, 2010)

Task Space Retrieval Using Inverse Feedback Control. - Nikolay Jetchev; Marc Toussaint (ICML, 2011)

Learning representations from motion trajectories: analysis and applications to robot planning and control. - Nikolay Jetchev (2012)

Optimizing motion primitives to make symbolic models more predictive. - Andreas Orthey; Marc Toussaint; Nikolay Jetchev (ICRA, 2013)

Fast motion planning from experience: trajectory prediction for speeding up movement generation. - Nikolay Jetchev; Marc Toussaint (Auton. Robots, 2013)

Kognitive Robotik - Herausforderungen an unser Verständnis natürlicher Umgebungen. - Marc Toussaint; Tobias Lang 001; Nikolay Jetchev (Autom., 2013)

Discovering relevant task spaces using inverse feedback control. - Nikolay Jetchev; Marc Toussaint (Auton. Robots, 2014)

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)

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

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

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

ClipMatrix: Text-controlled Creation of 3D Textured Meshes. - Nikolay Jetchev (CoRR, 2021)