| Bayesian online prediction of change points D Agudelo-España, S Gomez-Gonzalez, S Bauer, B Schölkopf, J Peters Conference on Uncertainty in Artificial Intelligence, 320-329, 2020 | 31 | 2020 |
| A real-robot dataset for assessing transferability of learned dynamics models D Agudelo-Espana, A Zadaianchuk, P Wenk, A Garg, J Akpo, ... 2020 IEEE International Conference on Robotics and Automation (ICRA), 8151-8157, 2020 | 6 | 2020 |
| Definition and composition of motor primitives using latent force models and hidden Markov models D Agudelo-Espana, MA Álvarez, ÁA Orozco Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2017 | 2 | 2017 |
| Learning Random Feature Dynamics for Uncertainty Quantification D Agudelo-Espana, Y Nemmour, B Schölkopf, JJ Zhu 2022 IEEE 61st Conference on Decision and Control (CDC), 4937-4944, 2022 | | 2022 |
| Shallow Representation is Deep: Learning Uncertainty-aware and Worst-case Random Feature Dynamics D Agudelo-España, Y Nemmour, B Schölkopf, JJ Zhu arXiv preprint arXiv:2106.13066, 2021 | | 2021 |
