| Edo-net: Learning elastic properties of deformable objects from graph dynamics A Longhini, M Moletta, A Reichlin, MC Welle, D Held, Z Erickson, D Kragic 2023 IEEE International Conference on Robotics and Automation (ICRA), 3875-3881, 2023 | 24 | 2023 |
| Back to the manifold: Recovering from out-of-distribution states A Reichlin, GL Marchetti, H Yin, A Ghadirzadeh, D Kragic 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 14 | 2022 |
| Elastic Context: Encoding Elasticity for Data-driven Models of Textiles Elastic Context: Encoding Elasticity for Data-driven Models of Textiles A Longhini, M Moletta, A Reichlin, MC Welle, A Kravberg, Y Wang, D Held, ... 2023 IEEE International Conference on Robotics and Automation (ICRA), 1764-1770, 2023 | 9 | 2023 |
| Mental Face Image Retrieval Based on a Closed-Loop Brain-Computer Interface N Rajabi, C Chernik, A Reichlin, F Taleb, M Vasco, A Ghadirzadeh, ... International Conference on Human-Computer Interaction, 26-45, 2023 | 2 | 2023 |
| Goal-Conditioned Offline Reinforcement Learning via Metric Learning A Reichlin, M Vasco, H Yin, D Kragic arXiv e-prints, arXiv: 2402.10820, 2024 | 1 | 2024 |
| Learning Geometric Representations of Objects via Interaction A Reichlin, GL Marchetti, H Yin, A Varava, D Kragic Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 1* | 2023 |
| On the Subspace Structure of Gradient-Based Meta-Learning G Tegnér, A Reichlin, H Yin, M Björkman, D Kragic arXiv preprint arXiv:2207.03804, 2022 | 1 | 2022 |
| Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks A Reichlin, G Tegnér, M Vasco, H Yin, M Björkman, D Kragic arXiv preprint arXiv:2410.01476, 2024 | | 2024 |
| Model-based reinforcement learning for protein backbone design F Renard, C Courtot, A Reichlin, O Bent arXiv preprint arXiv:2405.01983, 2024 | | 2024 |
| Learning Goal-Conditioned Policies from Sub-Optimal Offline Data via Metric Learning A Reichlin, M Vasco, H Yin, D Kragic arXiv preprint arXiv:2402.10820, 2024 | | 2024 |
| DLO@Scale - A Large-Scale Meta Dataset for Learning Non-Rigid Object Pushing Dynamics FTP Robert Gieselmann, Alberta Longhini, Alfredo Reichlin, Danica Kragic NeurIPS 2021 - Workshop on Physical Reasoning and Inductive Biases for the …, 2021 | | 2021 |
| Perception Learning For Deep Visuomotor Control Of A Robotic Arm A Reichlin | | 2020 |
| Gradient-Based Transfer Learning G Tegnér, A Reichlin, H Yin, H Kjellstrom, M Björkman, D Kragic | | |
