| Spagnn: Spatially-aware graph neural networks for relational behavior forecasting from sensor data S Casas, C Gulino, R Liao, R Urtasun 2020 IEEE International Conference on Robotics and Automation (ICRA), 9491-9497, 2020 | 269* | 2020 |
| Implicit latent variable model for scene-consistent motion forecasting S Casas, C Gulino, S Suo, K Luo, R Liao, R Urtasun European Conference on Computer Vision, 624-641, 2020 | 217 | 2020 |
| Waymax: An accelerated, data-driven simulator for large-scale autonomous driving research C Gulino, J Fu, W Luo, G Tucker, E Bronstein, Y Lu, J Harb, X Pan, ... Advances in Neural Information Processing Systems 36, 7730-7742, 2023 | 197 | 2023 |
| The waymo open sim agents challenge N Montali, J Lambert, P Mougin, A Kuefler, N Rhinehart, M Li, C Gulino, ... Advances in Neural Information Processing Systems 36, 59151-59171, 2023 | 104 | 2023 |
| The importance of prior knowledge in precise multimodal prediction S Casas, C Gulino, S Suo, R Urtasun 2020 IEEE/RSJ international conference on intelligent robots and systems …, 2020 | 59 | 2020 |
| Association and tracking for autonomous devices S Gautam, BC Becker, C Vallespi-Gonzalez, CC Gulino US Patent 11,348,339, 2022 | 41 | 2022 |
| Generalizing informed sampling for asymptotically-optimal sampling-based kinodynamic planning via markov chain monte carlo D Yi, R Thakker, C Gulino, O Salzman, S Srinivasa 2018 IEEE International Conference on Robotics and Automation (ICRA), 7063-7070, 2018 | 33 | 2018 |
| Systems and methods for generating motion forecast data for actors with respect to an autonomous vehicle and training a machine learned model for the same R Urtasun, R Liao, S Casas, CC Gulino US Patent 11,636,307, 2023 | 30 | 2023 |
| Improving agent behaviors with rl fine-tuning for autonomous driving Z Peng, W Luo, Y Lu, T Shen, C Gulino, A Seff, J Fu European Conference on Computer Vision, 165-181, 2024 | 24 | 2024 |
| Systems and methods for latent distribution modeling for scene-consistent motion forecasting S Casas, CC Gulino, S Da Suo, KZ Luo, R Liao, R Urtasun US Patent 11,842,530, 2023 | 20 | 2023 |
| Systems and methods for training probabilistic object motion prediction models using non-differentiable prior knowledge S Casas, CC Gulino, S Da Suo, R Urtasun US Patent 11,836,585, 2023 | 16 | 2023 |
| Imitative planning using conditional normalizing flow S Agarwal, H Sikchi, C Gulino, E Wilkinson, S Gautam arXiv preprint arXiv:2007.16162, 2020 | 13 | 2020 |
| Scaling Laws of Motion Forecasting and Planning--A Technical Report M Baniodeh, K Goel, S Ettinger, C Fuertes, A Seff, T Shen, C Gulino, ... arXiv preprint arXiv:2506.08228, 2025 | 8 | 2025 |
| Systems and methods for generating motion forecast data for actors with respect to an autonomous vehicle and training a machine learned model for the same R Urtasun, R Liao, S Casas, CC Gulino US Patent 12,008,454, 2024 | 3 | 2024 |
| Systems and methods for training probabilistic object motion prediction models using non-differentiable prior knowledge S Casas, CC Gulino, S Da Suo, R Urtasun US Patent 12,205,004, 2025 | 1 | 2025 |
| Systems and Methods for Latent Distribution Modeling for Scene-Consistent Motion Forecasting S Casas, CC Gulino, S Da Suo, KZ Luo, R Liao, R Urtasun US Patent App. 19/271,344, 2025 | | 2025 |
| Systems and methods for generating motion forecast data for actors with respect to an autonomous vehicle and training a machine learned model for the same R Urtasun, R Liao, S Casas, CC Gulino US Patent 12,430,534, 2025 | | 2025 |
| Systems and methods for latent distribution modeling for scene-consistent motion forecasting S Casas, CC Gulino, S Da Suo, KZ Luo, R Liao, R Urtasun US Patent 12,387,475, 2025 | | 2025 |
| Systems and Methods for Training Probabilistic Object Motion Prediction Models Using Non-Differentiable Prior Knowledge S Casas, CC Gulino, S Da Suo, R Urtasun US Patent App. 18/982,461, 2025 | | 2025 |
| Association and tracking for autonomous devices S Gautam, BC Becker, C Vallespi-Gonzalez, CC Gulino US Patent 12,131,487, 2024 | | 2024 |
Sergio CasasSr Staff TLM at WaymoVerified email at waymo.com
