Rubanova, Yulia

13 publications

ICML 2025 Direct Motion Models for Assessing Generated Videos Kelsey R Allen, Carl Doersch, Guangyao Zhou, Mohammed Suhail, Danny Driess, Ignacio Rocco, Yulia Rubanova, Thomas Kipf, Mehdi S. M. Sajjadi, Kevin Patrick Murphy, Joao Carreira, Sjoerd Van Steenkiste

ICLR 2024 Learning 3D Particle-Based Simulators from RGB-D Videos William F Whitney, Tatiana Lopez-Guevara, Tobias Pfaff, Yulia Rubanova, Thomas Kipf, Kim Stachenfeld, Kelsey R Allen

NeurIPS 2024 Learning Rigid-Body Simulators over Implicit Shapes for Large-Scale Scenes and Vision Yulia Rubanova, Tatiana Lopez-Guevara, Kelsey R. Allen, William F. Whitney, Kimberly Stachenfeld, Tobias Pfaff

NeurIPS 2024 Moving Off-the-Grid: Scene-Grounded Video Representations Sjoerd van Steenkiste, Daniel Zoran, Yi Yang, Yulia Rubanova, Rishabh Kabra, Carl Doersch, Dilara Gokay, Joseph Heyward, Etienne Pot, Klaus Greff, Drew A. Hudson, Thomas Albert Keck, Joao Carreira, Alexey Dosovitskiy, Mehdi S. M. Sajjadi, Thomas Kipf

NeurIPS 2024 Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models Ziyi Wu, Yulia Rubanova, Rishabh Kabra, Drew A. Hudson, Igor Gilitschenski, Yusuf Aytar, Sjoerd van Steenkiste, Kelsey R. Allen, Thomas Kipf

ICLR 2023 Learning Rigid Dynamics with Face Interaction Graph Networks Kelsey R Allen, Yulia Rubanova, Tatiana Lopez-Guevara, William F Whitney, Alvaro Sanchez-Gonzalez, Peter Battaglia, Tobias Pfaff

LoG 2022 A Generalist Neural Algorithmic Learner Borja Ibarz, Vitaly Kurin, George Papamakarios, Kyriacos Nikiforou, Mehdi Bennani, Róbert Csordás, Andrew Joseph Dudzik, Matko Bošnjak, Alex Vitvitskyi, Yulia Rubanova, Andreea Deac, Beatrice Bevilacqua, Yaroslav Ganin, Charles Blundell, Petar Veličković

ICML 2022 Constraint-Based Graph Network Simulator Yulia Rubanova, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Peter Battaglia

CoRL 2022 Graph Network Simulators Can Learn Discontinuous, Rigid Contact Dynamics Kelsey R Allen, Tatiana Lopez Guevara, Yulia Rubanova, Kim Stachenfeld, Alvaro Sanchez-Gonzalez, Peter Battaglia, Tobias Pfaff

ICLR 2022 Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond Jonathan Godwin, Michael Schaarschmidt, Alexander L Gaunt, Alvaro Sanchez-Gonzalez, Yulia Rubanova, Petar Veličković, James Kirkpatrick, Peter Battaglia

UAI 2020 Amortized Bayesian Optimization over Discrete Spaces Kevin Swersky, Yulia Rubanova, David Dohan, Kevin Murphy

NeurIPS 2019 Latent Ordinary Differential Equations for Irregularly-Sampled Time Series Yulia Rubanova, Ricky T. Q. Chen, David K. Duvenaud

NeurIPS 2018 Neural Ordinary Differential Equations Ricky T. Q. Chen, Yulia Rubanova, Jesse Bettencourt, David K. Duvenaud