| 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 | 131 | 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 | 55 | 2022 |
| Self-supervised Visual Reinforcement Learning with Object-centric Representations A Zadaianchuk, M Seitzer, G Martius International Conference on Learning Representations (ICLR) 2021, 2021 | 47 | 2021 |
| 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 | 34 | 2023 |
| Self-supervised reinforcement learning with independently controllable subgoals A Zadaianchuk, G Martius, F Yang Conference on Robot Learning (CoRL) 2021, 384-394, 2022 | 24 | 2022 |
| 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 | 10 | 2020 |
| Zero-shot object-centric representation learning A Didolkar, A Zadaianchuk, A Goyal, M Mozer, Y Bengio, G Martius, ... arXiv preprint arXiv:2408.09162, 2024 | 5 | 2024 |
| STREAM: Embodied Reasoning through Code Generation D Cherniavskii, P Lippe, A Zadaianchuk, E Gavves Multi-modal Foundation Model meets Embodied AI Workshop@ ICML2024, 2024 | 1 | 2024 |
| Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination L Barcellona, A Zadaianchuk, D Allegro, S Papa, S Ghidoni, E Gavves ICLR 2025, 2024 | | 2024 |
| Temporally Consistent Object-Centric Learning by Contrasting Slots A Manasyan, M Seitzer, F Radovic, G Martius, A Zadaianchuk arXiv preprint arXiv:2412.14295, 2024 | | 2024 |
| Discovering and Using Structure in Autonomous Machine Learning A Zadaianchuk ETH Zurich, 2024 | | 2024 |
| CTRL-O: Language-Controllable Object-Centric Visual Representation Learning AR Didolkar, A Zadaianchuk, R Awal, M Seitzer, E Gavves, A Agrawal Adaptive Foundation Models: Evolving AI for Personalized and Efficient Learning, 2024 | | 2024 |
| SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models C Sancaktar, C Gumbsch, A Zadaianchuk, P Kolev, G Martius Workshop on Training Agents with Foundation Models at RLC 2024, 2024 | | 2024 |
| Online Step Size Adaptation for Stochastic Optimization A Zadaianchuk Eberhard-Karls-Universität Tübingen, 2018 | | 2018 |
| Benchmark for Temporal, Ambiguous, and Grounded Embodied Question-Answering D Cherniavskii, P Lippe, A Zadaianchuk, E Gavves | | |
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