Learning to Augment Synthetic Images for Sim2Real Policy Transfer. - Alexander Pashevich; Robin Strudel; Igor Kalevatykh; Ivan Laptev; Cordelia Schmid (IROS, 2019)

Combining learned skills and reinforcement learning for robotic manipulations. - Robin Strudel; Alexander Pashevich; Igor Kalevatykh; Ivan Laptev; Josef Sivic; Cordelia Schmid (CoRR, 2019)

Learning Obstacle Representations for Neural Motion Planning. - Robin Strudel; Ricardo Garcia 001; Justin Carpentier; Jean-Paul Laumond; Ivan Laptev; Cordelia Schmid (CoRL, 2020)

Learning to combine primitive skills: A step towards versatile robotic manipulation §. - Robin Strudel; Alexander Pashevich; Igor Kalevatykh; Ivan Laptev; Josef Sivic; Cordelia Schmid (ICRA, 2020)

Segmenter: Transformer for Semantic Segmentation. - Robin Strudel; Ricardo Garcia 001; Ivan Laptev; Cordelia Schmid (ICCV, 2021)

Assembly Planning from Observations under Physical Constraints. - Thomas Chabal; Robin Strudel; Etienne Arlaud; Jean Ponce; Cordelia Schmid (IROS, 2022)

Weakly-supervised segmentation of referring expressions. - Robin Strudel; Ivan Laptev; Cordelia Schmid (CoRR, 2022)

Self-conditioned Embedding Diffusion for Text Generation. - Robin Strudel; Corentin Tallec; Florent Altché; Yilun Du; Yaroslav Ganin; Arthur Mensch; Will Grathwohl; Nikolay Savinov; Sander Dieleman; Laurent Sifre; Rémi Leblond (CoRR, 2022)

Continuous diffusion for categorical data. - 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; et al. (CoRR, 2022)

Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC. - Yilun Du; Conor Durkan; Robin Strudel; Joshua B. Tenenbaum; Sander Dieleman; Rob Fergus; Jascha Sohl-Dickstein; Arnaud Doucet; Will Sussman Grathwohl (ICML, 2023)

Robust Visual Sim-to-Real Transfer for Robotic Manipulation. - Ricardo Garcia 001; Robin Strudel; Shizhe Chen; Etienne Arlaud; Ivan Laptev; Cordelia Schmid (IROS, 2023)

Learning representations for visually-guided robotics. (Apprentissage de représentations visuelles pour la robotique). - Robin Strudel (2023)

Imagen 3. - Jason Baldridge; Jakob Bauer; Mukul Bhutani; Nicole Brichtova; Andrew Bunner; Kelvin Chan; Yichang Chen; Sander Dieleman; Yuqing Du; Zach Eaton-Rosen; Hongliang Fei; Nando de Freitas; et al. (CoRR, 2024)

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities. - Gheorghe Comanici; Eric Bieber; Mike Schaekermann; Ice Pasupat; Noveen Sachdeva; Inderjit S. Dhillon; Marcel Blistein; Ori Ram; Dan Zhang; Evan Rosen; Luke Marris; Sam Petulla; et al. (CoRR, 2025)