Nikolay Savinov

26 papers A* 6Misc 1Journal 15Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context. CoRR Machel Reid, Nikolay Savinov, Denis Teplyashin, Dmitry Lepikhin, Timothy P. Lillicrap, Jean-Baptiste Alayrac, Radu Soricut, Angeliki Lazaridou, Orhan Firat, Julian Schrittwieser, Ioannis Antonoglou, Rohan Anil, Sebastian Borgeaud, Andrew M. Dai, Katie Millican, Ethan Dyer, Mia Glaese, Thibault Sottiaux, Benjamin Lee, Fabio Viola, Malcolm Reynolds, Yuanzhong Xu, James Molloy, Jilin Chen, Michael Isard, Paul Barham, Tom Hennigan, Ross McIlroy, Melvin Johnson, Johan Schalkwyk, Eli Collins, Eliza Rutherford, Erica Moreira, Kareem Ayoub, Megha Goel, Clemens Meyer, Gregory Thornton, Zhen Yang, Henryk Michalewski, Zaheer Abbas, Nathan Schucher, Ankesh Anand, Richard Ives, James Keeling, Karel Lenc, Salem Haykal, Siamak Shakeri, Pranav Shyam, Aakanksha Chowdhery, Roman Ring, Stephen Spencer, Eren Sezener, et al.
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	A*	`conf`	Step-unrolled Denoising Autoencoders for Text Generation. ICLR Nikolay Savinov, Junyoung Chung, Mikolaj Binkowski, Erich Elsen, Aäron van den Oord
2021	J	`jnl`	Step-unrolled Denoising Autoencoders for Text Generation. CoRR Nikolay Savinov, Junyoung Chung, Mikolaj Binkowski, Erich Elsen, Aäron van den Oord
2020	J	`jnl`	Imitating Interactive Intelligence. CoRR Josh Abramson, Arun Ahuja, Arthur Brussee, Federico Carnevale, Mary Cassin, Stephen Clark, Andrew Dudzik, Petko Georgiev, Aurelia Guy, Tim Harley, Felix Hill, Alden Hung, Zachary Kenton, Jessica Landon, Timothy P. Lillicrap, Kory W. Mathewson, Alistair Muldal, Adam Santoro, Nikolay Savinov, Vikrant Varma, Greg Wayne, Nathaniel Wong, Chen Yan, Rui Zhu
2019	J	`jnl`	Discrete Optimization of Ray Potentials for Semantic 3D Reconstruction. CoRR Nikolay Savinov, Lubor Ladicky, Christian Häne, Marc Pollefeys
2019	—	`conf`	Episodic Curiosity through Reachability. ICLR (Poster) Nikolay Savinov, Anton Raichuk, Damien Vincent, Raphaël Marinier, Marc Pollefeys, Timothy P. Lillicrap, Sylvain Gelly
2019	—	`—`	Modeling the visual world: reconstruction and neural episodic representation. Nikolay Savinov
2019	J	`jnl`	RNN-based Generative Model for Fine-Grained Sketching. CoRR Andrin Jenal, Nikolay Savinov, Torsten Sattler, Gaurav Chaurasia
2018	Misc	`conf`	Conditional Affordance Learning for Driving in Urban Environments. CoRL Axel Sauer, Nikolay Savinov, Andreas Geiger
2018	J	`jnl`	Conditional Affordance Learning for Driving in Urban Environments. CoRR Axel Sauer, Nikolay Savinov, Andreas Geiger
2018	J	`jnl`	Episodic Curiosity through Reachability. CoRR Nikolay Savinov, Anton Raichuk, Raphaël Marinier, Damien Vincent, Marc Pollefeys, Timothy P. Lillicrap, Sylvain Gelly
2018	J	`jnl`	Semi-parametric Topological Memory for Navigation. CoRR Nikolay Savinov, Alexey Dosovitskiy, Vladlen Koltun
2018	—	`conf`	Semi-parametric topological memory for navigation. ICLR (Poster) Nikolay Savinov, Alexey Dosovitskiy, Vladlen Koltun
2017	—	`conf`	Matching neural paths: transfer from recognition to correspondence search. NIPS Nikolay Savinov, Lubor Ladicky, Marc Pollefeys
2017	J	`jnl`	Matching neural paths: transfer from recognition to correspondence search. CoRR Nikolay Savinov, Lubor Ladicky, Marc Pollefeys
2017	A*	`conf`	Quad-Networks: Unsupervised Learning to Rank for Interest Point Detection. CVPR Nikolay Savinov, Akihito Seki, Lubor Ladicky, Torsten Sattler, Marc Pollefeys
2017	J	`jnl`	Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark. CoRR Timo Hackel, Nikolay Savinov, Lubor Ladicky, Jan Dirk Wegner, Konrad Schindler, Marc Pollefeys
2016	J	`jnl`	Quad-networks: unsupervised learning to rank for interest point detection. CoRR Nikolay Savinov, Akihito Seki, Lubor Ladicky, Torsten Sattler, Marc Pollefeys
2016	A*	`conf`	Semantic 3D Reconstruction with Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint. CVPR Nikolay Savinov, Christian Häne, Lubor Ladicky, Marc Pollefeys
2016	J	`jnl`	Semantic 3D Reconstruction with Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint. CoRR Nikolay Savinov, Christian Häne, Lubor Ladicky, Marc Pollefeys
2016	A*	`conf`	TI-POOLING: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks. CVPR Dmitry Laptev, Nikolay Savinov, Joachim M. Buhmann, Marc Pollefeys
2016	J	`jnl`	TI-POOLING: transformation-invariant pooling for feature learning in Convolutional Neural Networks. CoRR Dmitry Laptev, Nikolay Savinov, Joachim M. Buhmann, Marc Pollefeys
2015	A*	`conf`	Discrete optimization of ray potentials for semantic 3D reconstruction. CVPR Nikolay Savinov, Lubor Ladicky, Christian Hane, Marc Pollefeys
2014	A*	`conf`	Class Specific 3D Object Shape Priors Using Surface Normals. CVPR Christian Häne, Nikolay Savinov, Marc Pollefeys