| Active domain randomization B Mehta, M Diaz, F Golemo, CJ Pal, L Paull Conference on Robot Learning, 1162-1176, 2020 | 207 | 2020 |
| Unsupervised learning of dense visual representations PO O Pinheiro, A Almahairi, R Benmalek, F Golemo, AC Courville Advances in Neural Information Processing Systems 33, 4489-4500, 2020 | 166 | 2020 |
| Home: A household multimodal environment S Brodeur, E Perez, A Anand, F Golemo, L Celotti, F Strub, J Rouat, ... arXiv preprint arXiv:1711.11017, 2017 | 130 | 2017 |
| Sim-to-real transfer with neural-augmented robot simulation F Golemo, AA Taiga, A Courville, PY Oudeyer Conference on Robot Learning, 817-828, 2018 | 101 | 2018 |
| Sim2Real in robotics and automation: Applications and challenges S Höfer, K Bekris, A Handa, JC Gamboa, M Mozifian, F Golemo, ... IEEE transactions on automation science and engineering 18 (2), 398-400, 2021 | 84 | 2021 |
| Kubric: A scalable dataset generator K Greff, F Belletti, L Beyer, C Doersch, Y Du, D Duckworth, DJ Fleet, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 69 | 2022 |
| gradSim: Differentiable simulation for system identification and visuomotor control KM Jatavallabhula, M Macklin, F Golemo, V Voleti, L Petrini, M Weiss, ... arXiv preprint arXiv:2104.02646, 2021 | 67 | 2021 |
| Latent variable sequential set transformers for joint multi-agent motion prediction R Girgis, F Golemo, F Codevilla, M Weiss, JA D'Souza, SE Kahou, ... arXiv preprint arXiv:2104.00563, 2021 | 50 | 2021 |
| Duckietown environments for openai gym M Chevalier-Boisvert, F Golemo, Y Cao, B Mehta, L Paull | 46 | 2018 |
| Perspectives on sim2real transfer for robotics: A summary of the r: Ss 2020 workshop S Höfer, K Bekris, A Handa, JC Gamboa, F Golemo, M Mozifian, ... arXiv preprint arXiv:2012.03806, 2020 | 25 | 2020 |
| gradsim: Differentiable simulation for system identification and visuomotor control JK Murthy, M Macklin, F Golemo, V Voleti, L Petrini, M Weiss, B Considine, ... International conference on learning representations, 2020 | 19 | 2020 |
| Navigation agents for the visually impaired: A sidewalk simulator and experiments M Weiss, S Chamorro, R Girgis, M Luck, SE Kahou, JP Cohen, ... Conference on Robot Learning, 1314-1327, 2020 | 18 | 2020 |
| A multimodal dataset for object model learning from natural human-robot interaction P Azagra, F Golemo, Y Mollard, M Lopes, J Civera, AC Murillo 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 16 | 2017 |
| The ai driving olympics at neurips 2018 J Zilly, J Tani, B Considine, B Mehta, AF Daniele, M Diaz, G Bernasconi, ... The NeurIPS'18 Competition: From Machine Learning to Intelligent …, 2020 | 15 | 2020 |
| Sequoia: A software framework to unify continual learning research F Normandin, F Golemo, O Ostapenko, P Rodriguez, MD Riemer, ... arXiv preprint arXiv:2108.01005, 2021 | 14 | 2021 |
| Haptics-based curiosity for sparse-reward tasks S Rajeswar, C Ibrahim, N Surya, F Golemo, D Vazquez, A Courville, ... Conference on Robot Learning, 395-405, 2022 | 10 | 2022 |
| Pix2shape: Towards unsupervised learning of 3d scenes from images using a view-based representation S Rajeswar, F Mannan, F Golemo, J Parent-Lévesque, D Vazquez, ... International Journal of Computer Vision 128, 2478-2493, 2020 | 10 | 2020 |
| A multimodal human-robot interaction dataset P Azagra, Y Mollard, F Golemo, AC Murillo, M Lopes, J Civera NIPS 2016, workshop future of interactive learning machines, 2016 | 8 | 2016 |
| Generating automatic curricula via self-supervised active domain randomization SC Raparthy, B Mehta, F Golemo, L Paull arXiv preprint arXiv:2002.07911, 2020 | 7 | 2020 |
| How to Train Your Robot-New Environments for Robotic Training and New Methods for Transferring Policies from the Simulator to the Real Robot F Golemo Université de Bordeaux, 2018 | 7 | 2018 |
Aaron CourvilleProfessor, DIRO, Université de Montréal, Mila, Cifar CAI chairVerified email at umontreal.ca
