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Nikolay Savinov
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2020 – today
- 2024
- [i16]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.:
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context. CoRR abs/2403.05530 (2024) - 2023
- [i15]Rohan Anil, Sebastian Borgeaud, Yonghui Wu, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M. Dai, Anja Hauth, Katie Millican, David Silver, Slav Petrov, Melvin Johnson, Ioannis Antonoglou, Julian Schrittwieser, Amelia Glaese, Jilin Chen, Emily Pitler, Timothy P. Lillicrap, Angeliki Lazaridou, Orhan Firat, James Molloy, Michael Isard, Paul Ronald Barham, Tom Hennigan, Benjamin Lee, Fabio Viola, Malcolm Reynolds, Yuanzhong Xu, Ryan Doherty, Eli Collins, Clemens Meyer, Eliza Rutherford, Erica Moreira, Kareem Ayoub, Megha Goel, George Tucker, Enrique Piqueras, Maxim Krikun, Iain Barr, Nikolay Savinov, Ivo Danihelka, Becca Roelofs, Anaïs White, Anders Andreassen, Tamara von Glehn, Lakshman Yagati, Mehran Kazemi, Lucas Gonzalez, Misha Khalman, Jakub Sygnowski, et al.:
Gemini: A Family of Highly Capable Multimodal Models. CoRR abs/2312.11805 (2023) - 2022
- [c10]Nikolay Savinov, Junyoung Chung, Mikolaj Binkowski, Erich Elsen, Aäron van den Oord:
Step-unrolled Denoising Autoencoders for Text Generation. ICLR 2022 - [i14]Robin Strudel, Corentin Tallec, Florent Altché, Yilun Du, Yaroslav Ganin, Arthur Mensch, Will Grathwohl, Nikolay Savinov, Sander Dieleman, Laurent Sifre, Rémi Leblond:
Self-conditioned Embedding Diffusion for Text Generation. CoRR abs/2211.04236 (2022) - [i13]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:
Continuous diffusion for categorical data. CoRR abs/2211.15089 (2022) - 2021
- [i12]Nikolay Savinov, Junyoung Chung, Mikolaj Binkowski, Erich Elsen, Aäron van den Oord:
Step-unrolled Denoising Autoencoders for Text Generation. CoRR abs/2112.06749 (2021) - 2020
- [i11]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:
Imitating Interactive Intelligence. CoRR abs/2012.05672 (2020)
2010 – 2019
- 2019
- [b1]Nikolay Savinov:
Modeling the visual world: reconstruction and neural episodic representation. ETH Zurich, Zürich, Switzerland, 2019 - [c9]Nikolay Savinov, Anton Raichuk, Damien Vincent, Raphaël Marinier, Marc Pollefeys, Timothy P. Lillicrap, Sylvain Gelly:
Episodic Curiosity through Reachability. ICLR (Poster) 2019 - [i10]Andrin Jenal, Nikolay Savinov, Torsten Sattler, Gaurav Chaurasia:
RNN-based Generative Model for Fine-Grained Sketching. CoRR abs/1901.03991 (2019) - [i9]Nikolay Savinov, Lubor Ladicky, Christian Häne, Marc Pollefeys:
Discrete Optimization of Ray Potentials for Semantic 3D Reconstruction. CoRR abs/1906.10491 (2019) - 2018
- [c8]Axel Sauer, Nikolay Savinov, Andreas Geiger:
Conditional Affordance Learning for Driving in Urban Environments. CoRL 2018: 237-252 - [c7]Nikolay Savinov, Alexey Dosovitskiy, Vladlen Koltun:
Semi-parametric topological memory for navigation. ICLR (Poster) 2018 - [i8]Nikolay Savinov, Alexey Dosovitskiy, Vladlen Koltun:
Semi-parametric Topological Memory for Navigation. CoRR abs/1803.00653 (2018) - [i7]Axel Sauer, Nikolay Savinov, Andreas Geiger:
Conditional Affordance Learning for Driving in Urban Environments. CoRR abs/1806.06498 (2018) - [i6]Nikolay Savinov, Anton Raichuk, Raphaël Marinier, Damien Vincent, Marc Pollefeys, Timothy P. Lillicrap, Sylvain Gelly:
Episodic Curiosity through Reachability. CoRR abs/1810.02274 (2018) - 2017
- [c6]Nikolay Savinov, Akihito Seki, Lubor Ladicky, Torsten Sattler, Marc Pollefeys
:
Quad-Networks: Unsupervised Learning to Rank for Interest Point Detection. CVPR 2017: 3929-3937 - [c5]Nikolay Savinov, Lubor Ladicky, Marc Pollefeys:
Matching neural paths: transfer from recognition to correspondence search. NIPS 2017: 1205-1214 - [i5]Timo Hackel, Nikolay Savinov, Lubor Ladicky, Jan Dirk Wegner, Konrad Schindler, Marc Pollefeys:
Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark. CoRR abs/1704.03847 (2017) - [i4]Nikolay Savinov, Lubor Ladicky, Marc Pollefeys:
Matching neural paths: transfer from recognition to correspondence search. CoRR abs/1705.08272 (2017) - 2016
- [c4]Dmitry Laptev, Nikolay Savinov, Joachim M. Buhmann, Marc Pollefeys
TI-POOLING: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks. CVPR 2016: 289-297 - [c3]Nikolay Savinov, Christian Häne, Lubor Ladicky, Marc Pollefeys
Semantic 3D Reconstruction with Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint. CVPR 2016: 5460-5469 - [i3]Nikolay Savinov, Christian Häne, Lubor Ladicky, Marc Pollefeys:
Semantic 3D Reconstruction with Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint. CoRR abs/1604.02885 (2016) - [i2]Dmitry Laptev, Nikolay Savinov, Joachim M. Buhmann, Marc Pollefeys:
TI-POOLING: transformation-invariant pooling for feature learning in Convolutional Neural Networks. CoRR abs/1604.06318 (2016) - [i1]Nikolay Savinov, Akihito Seki, Lubor Ladicky, Torsten Sattler, Marc Pollefeys:
Quad-networks: unsupervised learning to rank for interest point detection. CoRR abs/1611.07571 (2016) - 2015
- [c2]Nikolay Savinov, Lubor Ladicky, Christian Hane, Marc Pollefeys
Discrete optimization of ray potentials for semantic 3D reconstruction. CVPR 2015: 5511-5518 - 2014
- [c1]Christian Häne, Nikolay Savinov, Marc Pollefeys
Class Specific 3D Object Shape Priors Using Surface Normals. CVPR 2014: 652-659
Coauthor Index
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