| Learning disentangled representations of videos with missing data A Comas, C Zhang, Z Feric, O Camps, R Yu Advances in Neural Information Processing Systems 33, 3625-3635, 2020 | 7 | 2020 |
| Geometry of score based generative models S Ghimire, J Liu, A Comas, D Hill, A Masoomi, O Camps, J Dy arXiv preprint arXiv:2302.04411, 2023 | 6 | 2023 |
| Turnip: Time-series U-Net with recurrence for NIR imaging PPG A Comas, TK Marks, H Mansour, S Lohit, Y Ma, X Liu 2021 IEEE International Conference on Image Processing (ICIP), 309-313, 2021 | 6 | 2021 |
| Inferring relational potentials in interacting systems A Comas, Y Du, CF Lopez, S Ghimire, M Sznaier, JB Tenenbaum, ... International Conference on Machine Learning, 6364-6383, 2023 | 1 | 2023 |
| Learning Object-Centric Dynamic Modes from Video and Emerging Properties A Comas, CF Lopez, S Ghimire, H Li, M Sznaier, O Camps Learning for Dynamics and Control Conference, 745-769, 2023 | 1 | 2023 |
| Self-supervised decomposition, disentanglement and prediction of video sequences while interpreting dynamics: A Koopman perspective A Comas, S Ghimire, H Li, M Sznaier, O Camps arXiv preprint arXiv:2110.00547, 2021 | 1 | 2021 |
| MagicMirror: Fast and High-Quality Avatar Generation with a Constrained Search Space A Comas-Massagué, D Qiu, M Chai, M Bühler, A Raj, R Gao, Q Xu, ... arXiv preprint arXiv:2404.01296, 2024 | | 2024 |
| Divide and Compose with Score Based Generative Models S Ghimire, A Comas, D Hill, A Masoomi, O Camps, J Dy arXiv preprint arXiv:2302.02272, 2023 | | 2023 |
| Neural Constraint Inference: Inferring Energy Constraints in Interacting Systems A Comas, Y Du, S Ghimire, CF Lopez, M Sznaier, JB Tenenbaum, ... | | 2022 |
| Exploring Methods for Enhancing Linear Prediction of Video Sequences A Comas Massagué Universitat Politècnica de Catalunya, 2019 | | 2019 |
| Evaluation of pre-filtering techniques for delay-spread compression in Wideband MISO systems A Comas Massagué Universitat Politècnica de Catalunya, 2017 | | 2017 |
