Florian Golemo
Florian Golemo
MILA & ElementAI
Verified email at - Homepage
Cited by
Cited by
Active domain randomization
B Mehta, M Diaz, F Golemo, CJ Pal, L Paull
Conference on Robot Learning, 1162-1176, 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
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
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
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
Sim-to-real transfer with neural-augmented robot simulation
F Golemo, AA Taiga, A Courville, PY Oudeyer
Conference on Robot Learning, 817-828, 2018
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
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
Duckietown environments for openai gym
M Chevalier-Boisvert, F Golemo, Y Cao, B Mehta, L Paull
GitHub repository, 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
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
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
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
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
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
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
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
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
Generating automatic curricula via self-supervised active domain randomization
SC Raparthy, B Mehta, F Golemo, L Paull
arXiv preprint arXiv:2002.07911, 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
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