Yulia Rubanova

30 papers A* 10A 1Misc 2Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Direct Motion Models for Assessing Generated Videos. ICML Kelsey R. Allen, Carl Doersch, Guangyao Zhou, Mohammed Suhail, Danny Driess, Ignacio Rocco, Yulia Rubanova, Thomas Kipf, Mehdi S. M. Sajjadi, Kevin Patrick Murphy, João Carreira, Sjoerd van Steenkiste
2025	J	`jnl`	Direct Motion Models for Assessing Generated Videos. CoRR Kelsey R. Allen, Carl Doersch, Guangyao Zhou, Mohammed Suhail, Danny Driess, Ignacio Rocco, Yulia Rubanova, Thomas Kipf, Mehdi S. M. Sajjadi, Kevin Murphy, João Carreira, Sjoerd van Steenkiste
2025	J	`jnl`	Neural USD: An object-centric framework for iterative editing and control. CoRR Alejandro Escontrela, Shrinu Kushagra, Sjoerd van Steenkiste, Yulia Rubanova, Aleksander Holynski, Kelsey R. Allen, Kevin Murphy, Thomas Kipf
2024	A*	`conf`	Learning 3D Particle-based Simulators from RGB-D Videos. ICLR William F. Whitney, Tatiana Lopez-Guevara, Tobias Pfaff, Yulia Rubanova, Thomas Kipf, Kim Stachenfeld, Kelsey R. Allen
2024	A*	`conf`	Learning rigid-body simulators over implicit shapes for large-scale scenes and vision. NeurIPS Yulia Rubanova, Tatiana Lopez-Guevara, Kelsey R. Allen, Will Whitney, Kimberly L. Stachenfeld, Tobias Pfaff
2024	J	`jnl`	Learning rigid-body simulators over implicit shapes for large-scale scenes and vision. CoRR Yulia Rubanova, Tatiana Lopez-Guevara, Kelsey R. Allen, William F. Whitney, Kimberly L. Stachenfeld, Tobias Pfaff
2024	A*	`conf`	Moving Off-the-Grid: Scene-Grounded Video Representations. NeurIPS 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 Keck, João Carreira, Alexey Dosovitskiy, Mehdi S. M. Sajjadi, Thomas Kipf
2024	J	`jnl`	Moving Off-the-Grid: Scene-Grounded Video Representations. CoRR 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 Keck, João Carreira, Alexey Dosovitskiy, Mehdi S. M. Sajjadi, Thomas Kipf
2024	A*	`conf`	Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models. NeurIPS Ziyi Wu, Yulia Rubanova, Rishabh Kabra, Drew A. Hudson, Igor Gilitschenski, Yusuf Aytar, Sjoerd van Steenkiste, Kelsey R. Allen, Thomas Kipf
2024	J	`jnl`	Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models. CoRR Ziyi Wu, Yulia Rubanova, Rishabh Kabra, Drew A. Hudson, Igor Gilitschenski, Yusuf Aytar, Sjoerd van Steenkiste, Kelsey R. Allen, Thomas Kipf
2024	J	`jnl`	Scaling Face Interaction Graph Networks to Real World Scenes. CoRR Tatiana Lopez-Guevara, Yulia Rubanova, William F. Whitney, Tobias Pfaff, Kimberly L. Stachenfeld, Kelsey R. Allen
2023	J	`jnl`	Learning 3D Particle-based Simulators from RGB-D Videos. CoRR William F. Whitney, Tatiana Lopez-Guevara, Tobias Pfaff, Yulia Rubanova, Thomas Kipf, Kimberly L. Stachenfeld, Kelsey R. Allen
2023	A*	`conf`	Learning rigid dynamics with face interaction graph networks. ICLR Kelsey R. Allen, Yulia Rubanova, Tatiana Lopez-Guevara, William Whitney, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Tobias Pfaff
2022	—	`conf`	A Generalist Neural Algorithmic Learner. LoG Borja Ibarz, Vitaly Kurin, George Papamakarios, Kyriacos Nikiforou, Mehdi Bennani, Róbert Csordás, Andrew Joseph Dudzik, Matko Bosnjak, Alex Vitvitskyi, Yulia Rubanova, Andreea Deac, Beatrice Bevilacqua, Yaroslav Ganin, Charles Blundell, Petar Velickovic
2022	J	`jnl`	A Generalist Neural Algorithmic Learner. CoRR Borja Ibarz, Vitaly Kurin, George Papamakarios, Kyriacos Nikiforou, Mehdi Bennani, Róbert Csordás, Andrew Dudzik, Matko Bosnjak, Alex Vitvitskyi, Yulia Rubanova, Andreea Deac, Beatrice Bevilacqua, Yaroslav Ganin, Charles Blundell, Petar Velickovic
2022	A*	`conf`	Constraint-based graph network simulator. ICML Yulia Rubanova, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Peter W. Battaglia
2022	Misc	`conf`	Graph network simulators can learn discontinuous, rigid contact dynamics. CoRL Kelsey R. Allen, Tatiana Lopez-Guevara, Yulia Rubanova, Kimberly L. Stachenfeld, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Tobias Pfaff
2022	J	`jnl`	Learning rigid dynamics with face interaction graph networks. CoRR Kelsey R. Allen, Yulia Rubanova, Tatiana Lopez-Guevara, William Whitney, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Tobias Pfaff
2022	A*	`conf`	Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond. ICLR Jonathan Godwin, Michael Schaarschmidt, Alexander L. Gaunt, Alvaro Sanchez-Gonzalez, Yulia Rubanova, Petar Velickovic, James Kirkpatrick, Peter W. Battaglia
2021	J	`jnl`	Constraint-based graph network simulator. CoRR Yulia Rubanova, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Peter W. Battaglia
2021	J	`jnl`	Very Deep Graph Neural Networks Via Noise Regularisation. CoRR Jonathan Godwin, Michael Schaarschmidt, Alexander L. Gaunt, Alvaro Sanchez-Gonzalez, Yulia Rubanova, Petar Velickovic, James Kirkpatrick, Peter W. Battaglia
2020	A	`conf`	Amortized Bayesian Optimization over Discrete Spaces. UAI Kevin Swersky, Yulia Rubanova, David Dohan, Kevin Murphy
2020	—	`—`	Continuous-time Latent-variable Models for Time Series. Yulia Rubanova
2020	J	`jnl`	The evolutionary history of 2,658 cancers. Nat. Moritz Gerstung, Clemency Jolly, Ignaty Leshchiner, Stefan C. Dentro, Santiago Gonzalez, Thomas J. Mitchell, Yulia Rubanova, Pavana Anur, Kaixian Yu, Maxime Tarabichi, Amit G. Deshwar, Jeff Wintersinger, Kortine Kleinheinz, Ignacio Vázquez-García, Kerstin Haase, Lara Jerman, Subhajit Sengupta, Geoff MacIntyre, Salem Malikic, Nilgun Donmez, Dimitri G. Livitz, Marek Cmero, Jonas Demeulemeester, Steven E. Schumacher, Yu Fan, Xiaotong Yao, Juhee Lee, Matthias Schlesner, Paul C. Boutros, David D. L. Bowtell, Hongtu Zhu, Gad Getz, Marcin Imielinski, Rameen Beroukhim, Süleyman Cenk Sahinalp, Yuan Ji, Martin Peifer, Florian Markowetz, Ville Mustonen, Ke Yuan, Wenyi Wang, Quaid D. Morris, David J. Adams, Peter J. Campbell, Shaolong Cao, Elizabeth L. Christie, Yupeng Cun, Kevin J. Dawson, Ruben M. Drews, Roland Eils, Matthew Fittall, Dale W. Garsed, Gavin Ha, Henry Lee-Six, Iñigo Martincorena, Layla Oesper, Myron Peto, Benjamin J. Raphael, Daniel T. Rosebrock, Adriana Salcedo, Ruian Shi, Seung Jun Shin, Oliver Spiro, Lincoln D. Stein, Shankar Vembu, David A. Wheeler, Tsun-Po Yang, Paul T. Spellman, David C. Wedge, Peter Van Loo
2020	Misc	`conf`	TrackSigFreq: Subclonal Reconstructions Based on Mutation Signatures and Allele Frequencies. PSB Caitlin F. Harrigan, Yulia Rubanova, Quaid Morris, Alina Selega
2019	J	`jnl`	Latent ODEs for Irregularly-Sampled Time Series. CoRR Yulia Rubanova, Ricky T. Q. Chen, David Duvenaud
2019	A*	`conf`	Latent Ordinary Differential Equations for Irregularly-Sampled Time Series. NeurIPS Yulia Rubanova, Tian Qi Chen, David Duvenaud
2018	A*	`conf`	Neural Ordinary Differential Equations. NeurIPS Tian Qi Chen, Yulia Rubanova, Jesse Bettencourt, David Duvenaud
2018	J	`jnl`	Neural Ordinary Differential Equations. CoRR Tian Qi Chen, Yulia Rubanova, Jesse Bettencourt, David Duvenaud
2018	—	`conf`	Reconstructing evolutionary trajectories of mutations in cancer. ICLR (Workshop) Yulia Rubanova, Ruian Shi, Roujia Li, Jeff Wintersinger, Amit G. Deshwar, Nil Sahin, Quaid Morris