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ORCIDRobin Strudel
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- affiliation: INRIA, WILLOW, Paris, France
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Books and Theses
- 2023
[b1]Robin Strudel:
Learning representations for visually-guided robotics. (Apprentissage de représentations visuelles pour la robotique). École Normale Supérieure, Paris, France, 2023
Conference and Workshop Papers
- 2023
- [c7]Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Sussman Grathwohl:
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC. ICML 2023: 8489-8510 - [c6]Ricardo Garcia Pinel, Robin Strudel, Shizhe Chen, Etienne Arlaud, Ivan Laptev, Cordelia Schmid:
Robust Visual Sim-to-Real Transfer for Robotic Manipulation. IROS 2023: 992-999 - 2022
- [c5]Thomas Chabal, Robin Strudel, Etienne Arlaud, Jean Ponce, Cordelia Schmid:
Assembly Planning from Observations under Physical Constraints. IROS 2022: 10223-10229 - 2021
- [c4]Robin Strudel, Ricardo Garcia Pinel, Ivan Laptev, Cordelia Schmid:
Segmenter: Transformer for Semantic Segmentation. ICCV 2021: 7242-7252 - 2020
- [c3]Robin Strudel, Ricardo Garcia Pinel, Justin Carpentier, Jean-Paul Laumond, Ivan Laptev, Cordelia Schmid:
Learning Obstacle Representations for Neural Motion Planning. CoRL 2020: 355-364 - [c2]Robin Strudel, Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Josef Sivic, Cordelia Schmid:
Learning to combine primitive skills: A step towards versatile robotic manipulation §. ICRA 2020: 4637-4643 - 2019
- [c1]Alexander Pashevich, Robin Strudel, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid:
Learning to Augment Synthetic Images for Sim2Real Policy Transfer. IROS 2019: 2651-2657
Informal and Other Publications
- 2023
- [i10]Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Grathwohl:
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC. CoRR abs/2302.11552 (2023) - [i9]Ricardo Garcia Pinel, Robin Strudel, Shizhe Chen, Etienne Arlaud, Ivan Laptev, Cordelia Schmid:
Robust Visual Sim-to-Real Transfer for Robotic Manipulation. CoRR abs/2307.15320 (2023) - 2022
- [i8]Thomas Chabal, Robin Strudel, Etienne Arlaud, Jean Ponce, Cordelia Schmid:
Assembly Planning from Observations under Physical Constraints. CoRR abs/2204.09616 (2022) - [i7]Robin Strudel, Ivan Laptev, Cordelia Schmid:
Weakly-supervised segmentation of referring expressions. CoRR abs/2205.04725 (2022) - [i6]Robin Strudel, Corentin Tallec, Florent Altché, Yilun Du, Yaroslav Ganin, Arthur Mensch, Will Grathwohl, Nikolay Savinov, Sander Dieleman, Laurent Sifre, Rémi Leblond:
Self-conditioned Embedding Diffusion for Text Generation. CoRR abs/2211.04236 (2022) - [i5]Sander Dieleman, Laurent Sartran, Arman Roshannai, Nikolay Savinov, Yaroslav Ganin, Pierre H. Richemond, Arnaud Doucet, Robin Strudel, Chris Dyer, Conor Durkan, Curtis Hawthorne, Rémi Leblond, Will Grathwohl, Jonas Adler:
Continuous diffusion for categorical data. CoRR abs/2211.15089 (2022) - 2021
- [i4]Robin Strudel, Ricardo Garcia Pinel
, Ivan Laptev, Cordelia Schmid:
Segmenter: Transformer for Semantic Segmentation. CoRR abs/2105.05633 (2021) - 2020
- [i3]Robin Strudel, Ricardo Garcia Pinel, Justin Carpentier, Jean-Paul Laumond, Ivan Laptev, Cordelia Schmid:
Learning Obstacle Representations for Neural Motion Planning. CoRR abs/2008.11174 (2020) - 2019
- [i2]Alexander Pashevich, Robin Strudel, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid:
Learning to Augment Synthetic Images for Sim2Real Policy Transfer. CoRR abs/1903.07740 (2019) - [i1]Robin Strudel, Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Josef Sivic, Cordelia Schmid:
Combining learned skills and reinforcement learning for robotic manipulations. CoRR abs/1908.00722 (2019)
Coauthor Index
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