Discrete deep feature extraction: A theory and new architectures T Wiatowski, M Tschannen, A Stanic, P Grohs, H Bölcskei International Conference on Machine Learning, ICML 2016, 2149-2158, 2016 | 24 | 2016 |
R-SQAIR: relational sequential attend, infer, repeat A Stanić, J Schmidhuber NeurIPS 2019 Workshop on Perception as Generative Reasoning: Structure …, 2019 | 21 | 2019 |
Hierarchical Relational Inference A Stanić, S van Steenkiste, J Schmidhuber Proceedings of the AAAI Conference on Artificial Intelligence, AAAI 2021, 2020 | 16 | 2020 |
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling Đ Miladinović, A Stanić, S Bauer, J Schmidhuber, JM Buhmann International Conference on Learning Representations, ICLR 2021, 2021 | 6 | 2021 |
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter A Stanić, Y Tang, D Ha, J Schmidhuber arXiv preprint arXiv:2208.03374, 2022 | 1 | 2022 |
An Investigation into the Open World Survival Game Crafter A Stanić, Y Tang, D Ha, J Schmidhuber Decision Awareness in Reinforcement Learning Workshop at ICML 2022, 2022 | | 2022 |
Hierarchical relational inference A Stanic, S Van Steenkiste, J Schmidhuber ICML 2020 Workshop on Object-Oriented Learning (OOL): Perception …, 2020 | | 2020 |
Supplement: Discrete Deep Feature Extraction: A Theory and New Architectures T Wiatowski, EE ETHZ, M Tschannen, A Stanic, E CH, P Grohs, ... | | |