Robin Strudel - RankMe

18 papers A* 3A 3Misc 1Journal 10

Year	Rank	Type	Title / Venue / Authors
2023	—	`—`	Learning representations for visually-guided robotics. (Apprentissage de représentations visuelles pour la robotique). Robin Strudel
2023	A*	`conf`	Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC. ICML Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Sussman Grathwohl
2023	J	`jnl`	Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC. CoRR Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Grathwohl
2023	A	`conf`	Robust Visual Sim-to-Real Transfer for Robotic Manipulation. IROS Ricardo Garcia, Robin Strudel, Shizhe Chen, Etienne Arlaud, Ivan Laptev, Cordelia Schmid
2023	J	`jnl`	Robust Visual Sim-to-Real Transfer for Robotic Manipulation. CoRR Ricardo Garcia, Robin Strudel, Shizhe Chen, Etienne Arlaud, Ivan Laptev, Cordelia Schmid
2022	A	`conf`	Assembly Planning from Observations under Physical Constraints. IROS Thomas Chabal, Robin Strudel, Etienne Arlaud, Jean Ponce, Cordelia Schmid
2022	J	`jnl`	Assembly Planning from Observations under Physical Constraints. CoRR Thomas Chabal, Robin Strudel, Etienne Arlaud, Jean Ponce, Cordelia Schmid
2022	J	`jnl`	Continuous diffusion for categorical data. CoRR 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
2022	J	`jnl`	Self-conditioned Embedding Diffusion for Text Generation. CoRR Robin Strudel, Corentin Tallec, Florent Altché, Yilun Du, Yaroslav Ganin, Arthur Mensch, Will Grathwohl, Nikolay Savinov, Sander Dieleman, Laurent Sifre, Rémi Leblond
2022	J	`jnl`	Weakly-supervised segmentation of referring expressions. CoRR Robin Strudel, Ivan Laptev, Cordelia Schmid
2021	A*	`conf`	Segmenter: Transformer for Semantic Segmentation. ICCV Robin Strudel, Ricardo Garcia, Ivan Laptev, Cordelia Schmid
2021	J	`jnl`	Segmenter: Transformer for Semantic Segmentation. CoRR Robin Strudel, Ricardo Garcia, Ivan Laptev, Cordelia Schmid
2020	Misc	`conf`	Learning Obstacle Representations for Neural Motion Planning. CoRL Robin Strudel, Ricardo Garcia, Justin Carpentier, Jean-Paul Laumond, Ivan Laptev, Cordelia Schmid
2020	J	`jnl`	Learning Obstacle Representations for Neural Motion Planning. CoRR Robin Strudel, Ricardo Garcia, Justin Carpentier, Jean-Paul Laumond, Ivan Laptev, Cordelia Schmid
2020	A*	`conf`	Learning to combine primitive skills: A step towards versatile robotic manipulation §. ICRA Robin Strudel, Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Josef Sivic, Cordelia Schmid
2019	J	`jnl`	Combining learned skills and reinforcement learning for robotic manipulations. CoRR Robin Strudel, Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Josef Sivic, Cordelia Schmid
2019	A	`conf`	Learning to Augment Synthetic Images for Sim2Real Policy Transfer. IROS Alexander Pashevich, Robin Strudel, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid
2019	J	`jnl`	Learning to Augment Synthetic Images for Sim2Real Policy Transfer. CoRR Alexander Pashevich, Robin Strudel, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid