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ORCIDYaroslav Ganin
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2020 – today
- 2022
[c10]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:
A Generalist Neural Algorithmic Learner. LoG 2022: 2- [i13]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:
A Generalist Neural Algorithmic Learner. CoRR abs/2209.11142 (2022) - [i12]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) - [i11]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
- [c9]Yaroslav Ganin, Sergey Bartunov, Yujia Li, Ethan Keller, Stefano Saliceti:
Computer-Aided Design as Language. NeurIPS 2021: 5885-5897 - [i10]Yaroslav Ganin, Sergey Bartunov, Yujia Li, Ethan Keller, Stefano Saliceti:
Computer-Aided Design as Language. CoRR abs/2105.02769 (2021) - 2020
- [c8]Charlie Nash, Yaroslav Ganin, S. M. Ali Eslami, Peter W. Battaglia:
PolyGen: An Autoregressive Generative Model of 3D Meshes. ICML 2020: 7220-7229 - [i9]Charlie Nash, Yaroslav Ganin, S. M. Ali Eslami, Peter W. Battaglia:
PolyGen: An Autoregressive Generative Model of 3D Meshes. CoRR abs/2002.10880 (2020)
2010 – 2019
- 2019
- [i8]John F. J. Mellor, Eunbyung Park, Yaroslav Ganin, Igor Babuschkin, Tejas Kulkarni, Dan Rosenbaum, Andy Ballard, Theophane Weber, Oriol Vinyals, S. M. Ali Eslami:
Unsupervised Doodling and Painting with Improved SPIRAL. CoRR abs/1910.01007 (2019) - 2018
- [j2]Daniil Kononenko
, Yaroslav Ganin, Diana Sungatullina, Victor S. Lempitsky:
Photorealistic Monocular Gaze Redirection Using Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. 40(11): 2696-2710 (2018) - [c7]Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, S. M. Ali Eslami, Oriol Vinyals:
Synthesizing Programs for Images using Reinforced Adversarial Learning. ICML 2018: 1652-1661 - [i7]Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, S. M. Ali Eslami, Oriol Vinyals:
Synthesizing Programs for Images using Reinforced Adversarial Learning. CoRR abs/1804.01118 (2018) - 2017
- [c6]Evgeniya Ustinova, Yaroslav Ganin, Victor S. Lempitsky:
Multi-Region bilinear convolutional neural networks for person re-identification. AVSS 2017: 1-6 - [c5]Alex Lamb, R. Devon Hjelm, Yaroslav Ganin, Joseph Paul Cohen, Aaron C. Courville, Yoshua Bengio:
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models. NIPS 2017: 5089-5098 - [p1]Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, Victor S. Lempitsky:
Domain-Adversarial Training of Neural Networks. Domain Adaptation in Computer Vision Applications 2017: 189-209 - [i6]Alex Lamb, R. Devon Hjelm, Yaroslav Ganin, Joseph Paul Cohen, Aaron C. Courville, Yoshua Bengio:
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models. CoRR abs/1712.04120 (2017) - 2016
- [j1]Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, Victor S. Lempitsky:
Domain-Adversarial Training of Neural Networks. J. Mach. Learn. Res. 17: 59:1-59:35 (2016) - [c4]Yaroslav Ganin, Daniil Kononenko, Diana Sungatullina, Victor S. Lempitsky:
DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation. ECCV (2) 2016: 311-326 - [i5]Yaroslav Ganin, Daniil Kononenko, Diana Sungatullina, Victor S. Lempitsky:
DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation. CoRR abs/1607.07215 (2016) - 2015
- [c3]Yaroslav Ganin, Victor S. Lempitsky:
Unsupervised Domain Adaptation by Backpropagation. ICML 2015: 1180-1189 - [c2]Vadim Lebedev, Yaroslav Ganin, Maksim Rakhuba, Ivan V. Oseledets, Victor S. Lempitsky:
Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition. ICLR (Poster) 2015 - [i4]Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, Victor S. Lempitsky:
Domain-Adversarial Training of Neural Networks. CoRR abs/1505.07818 (2015) - [i3]Evgeniya Ustinova, Yaroslav Ganin, Victor S. Lempitsky:
Multiregion Bilinear Convolutional Neural Networks for Person Re-Identification. CoRR abs/1512.05300 (2015) - 2014
- [c1]Yaroslav Ganin, Victor S. Lempitsky:
N^4 -Fields: Neural Network Nearest Neighbor Fields for Image Transforms. ACCV (2) 2014: 536-551 - [i2]Yaroslav Ganin, Victor S. Lempitsky:
N4-Fields: Neural Network Nearest Neighbor Fields for Image Transforms. CoRR abs/1406.6558 (2014) - [i1]Yaroslav Ganin, Victor S. Lempitsky:
Unsupervised Domain Adaptation by Backpropagation. CoRR abs/1409.7495 (2014)
Coauthor Index
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