Yaroslav Ganin

26 papers A* 4B 1Journal 15Unranked 5
YearRankTypeTitle / Venue / Authors
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 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
2021 A* conf
Computer-Aided Design as Language.
NeurIPS
Yaroslav Ganin, Sergey Bartunov, Yujia Li, Ethan Keller, Stefano Saliceti
2021 J jnl
Computer-Aided Design as Language.
CoRR
Yaroslav Ganin, Sergey Bartunov, Yujia Li, Ethan Keller, Stefano Saliceti
2020 A* conf
PolyGen: An Autoregressive Generative Model of 3D Meshes.
ICML
Charlie Nash, Yaroslav Ganin, S. M. Ali Eslami, Peter W. Battaglia
2020 J jnl
PolyGen: An Autoregressive Generative Model of 3D Meshes.
CoRR
Charlie Nash, Yaroslav Ganin, S. M. Ali Eslami, Peter W. Battaglia
2019 J jnl
Unsupervised Doodling and Painting with Improved SPIRAL.
CoRR
John F. J. Mellor, Eunbyung Park, Yaroslav Ganin, Igor Babuschkin, Tejas Kulkarni, Dan Rosenbaum, Andy Ballard, Theophane Weber, Oriol Vinyals, S. M. Ali Eslami
2018 J jnl
Photorealistic Monocular Gaze Redirection Using Machine Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Daniil Kononenko, Yaroslav Ganin, Diana Sungatullina, Victor S. Lempitsky
2018 A* conf
Synthesizing Programs for Images using Reinforced Adversarial Learning.
ICML
Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, S. M. Ali Eslami, Oriol Vinyals
2018 J jnl
Synthesizing Programs for Images using Reinforced Adversarial Learning.
CoRR
Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, S. M. Ali Eslami, Oriol Vinyals
2017 — ch.
Domain-Adversarial Training of Neural Networks.
Domain Adaptation in Computer Vision Applications
Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, Victor S. Lempitsky
2017 — conf
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models.
NIPS
Alex Lamb, R. Devon Hjelm, Yaroslav Ganin, Joseph Paul Cohen, Aaron C. Courville, Yoshua Bengio
2017 J jnl
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models.
CoRR
Alex Lamb, R. Devon Hjelm, Yaroslav Ganin, Joseph Paul Cohen, Aaron C. Courville, Yoshua Bengio
2017 B conf
Multi-Region bilinear convolutional neural networks for person re-identification.
AVSS
Evgeniya Ustinova, Yaroslav Ganin, Victor S. Lempitsky
2016 — conf
DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation.
ECCV (2)
Yaroslav Ganin, Daniil Kononenko, Diana Sungatullina, Victor S. Lempitsky
2016 J jnl
DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation.
CoRR
Yaroslav Ganin, Daniil Kononenko, Diana Sungatullina, Victor S. Lempitsky
2016 J jnl
Domain-Adversarial Training of Neural Networks.
J. Mach. Learn. Res.
Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, Victor S. Lempitsky
2015 J jnl
Domain-Adversarial Training of Neural Networks.
CoRR
Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, Victor S. Lempitsky
2015 J jnl
Multiregion Bilinear Convolutional Neural Networks for Person Re-Identification.
CoRR
Evgeniya Ustinova, Yaroslav Ganin, Victor S. Lempitsky
2015 — conf
Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition.
ICLR (Poster)
Vadim Lebedev, Yaroslav Ganin, Maksim Rakhuba, Ivan V. Oseledets, Victor S. Lempitsky
2015 A* conf
Unsupervised Domain Adaptation by Backpropagation.
ICML
Yaroslav Ganin, Victor S. Lempitsky
2014 J jnl
N
CoRR
Yaroslav Ganin, Victor S. Lempitsky
2014 — conf
N^4 -Fields: Neural Network Nearest Neighbor Fields for Image Transforms.
ACCV (2)
Yaroslav Ganin, Victor S. Lempitsky
2014 J jnl
Unsupervised Domain Adaptation by Backpropagation.
CoRR
Yaroslav Ganin, Victor S. Lempitsky