Andrii Zadaianchuk

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Citations	200	200
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Maximilian SeitzerMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Georg MartiusUniversity of Tübingen and Max Planck Institute for Intelligent SystemsVerified email at uni-tuebingen.de
Francesco LocatelloAssistant Professor, ISTAVerified email at ista.ac.at
Thomas BroxUniversity of FreiburgVerified email at cs.uni-freiburg.de
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
Yi ZhuBoson AIVerified email at ucmerced.edu
Fanny YangETH ZurichVerified email at inf.ethz.ch
Stefan BauerHelmholtz | TUM | CIFARVerified email at tum.de

Andrii Zadaianchuk

Postdoc, University of Amsterdam

Verified email at uva.nl - Homepage

machine learning self-supervised representation learning causal inference


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Bridging the gap to real-world object-centric learning M Seitzer, M Horn, A Zadaianchuk, D Zietlow, T Xiao, CJ Simon-Gabriel, ... International Conference on Learning Representations (ICLR) 2023, 2022	83	2022
Unsupervised semantic segmentation with self-supervised object-centric representations A Zadaianchuk, M Kleindessner, Y Zhu, F Locatello, T Brox International Conference on Learning Representations (ICLR) 2023, 2022	45	2022
Self-supervised Visual Reinforcement Learning with Object-centric Representations A Zadaianchuk, M Seitzer, G Martius International Conference on Learning Representations (ICLR) 2021, 2021	33	2021
Self-supervised reinforcement learning with independently controllable subgoals A Zadaianchuk, G Martius, F Yang Conference on Robot Learning (CoRL) 2021, 384-394, 2022	18	2022
Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities A Zadaianchuk, M Seitzer, G Martius Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS …, 2023	13	2023
A real-robot dataset for assessing transferability of learned dynamics models D Agudelo-Espana, A Zadaianchuk, P Wenk, A Garg, J Akpo, ... International Conference on Robotics and Automation (ICRA), 2020, 8151-8157, 2020	8	2020
Discovering and Using Structure in Autonomous Machine Learning A Zadaianchuk ETH Zurich, 2024		2024
Online Step Size Adaptation for Stochastic Optimization A Zadaianchuk Eberhard-Karls-Universität Tübingen, 2018		2018

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