Yaroslav Ganin

According to our database, Yaroslav Ganin authored at least 18 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Continuous diffusion for categorical data.

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

CoRR, 2022

Self-conditioned Embedding Diffusion for Text Generation.

Robin Strudel, Corentin Tallec, Florent Altché, Yilun Du, Yaroslav Ganin, Arthur Mensch, Will Grathwohl, Nikolay Savinov, Sander Dieleman, Laurent Sifre, Rémi Leblond

CoRR, 2022

A Generalist Neural Algorithmic Learner.

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

Proceedings of the Learning on Graphs Conference, 2022

2021

Computer-Aided Design as Language.

Yaroslav Ganin, Sergey Bartunov, Yujia Li, Ethan Keller, Stefano Saliceti

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

PolyGen: An Autoregressive Generative Model of 3D Meshes.

Charlie Nash, Yaroslav Ganin, S. M. Ali Eslami, Peter W. Battaglia

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Unsupervised Doodling and Painting with Improved SPIRAL.

John F. J. Mellor, Eunbyung Park, Yaroslav Ganin, Igor Babuschkin, Tejas Kulkarni, Dan Rosenbaum, Andy Ballard, Theophane Weber, Oriol Vinyals, S. M. Ali Eslami

CoRR, 2019

2018

Photorealistic Monocular Gaze Redirection Using Machine Learning.

Daniil Kononenko, Yaroslav Ganin, Diana Sungatullina, Victor S. Lempitsky

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Synthesizing Programs for Images using Reinforced Adversarial Learning.

Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, S. M. Ali Eslami, Oriol Vinyals

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Domain-Adversarial Training of Neural Networks.

Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, Victor S. Lempitsky

Proceedings of the Domain Adaptation in Computer Vision Applications., 2017

GibbsNet: Iterative Adversarial Inference for Deep Graphical Models.

Alex Lamb, R. Devon Hjelm, Yaroslav Ganin, Joseph Paul Cohen, Aaron C. Courville, Yoshua Bengio

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Multi-Region bilinear convolutional neural networks for person re-identification.

Evgeniya Ustinova, Yaroslav Ganin, Victor S. Lempitsky

Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017

2016

Domain-Adversarial Training of Neural Networks.

Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, Victor S. Lempitsky

J. Mach. Learn. Res., 2016

DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation.

Yaroslav Ganin, Daniil Kononenko, Diana Sungatullina, Victor S. Lempitsky

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Multiregion Bilinear Convolutional Neural Networks for Person Re-Identification.

Evgeniya Ustinova, Yaroslav Ganin, Victor S. Lempitsky

CoRR, 2015

Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition.

Vadim Lebedev, Yaroslav Ganin, Maksim Rakhuba, Ivan V. Oseledets, Victor S. Lempitsky

Proceedings of the 3rd International Conference on Learning Representations, 2015

Unsupervised Domain Adaptation by Backpropagation.

Yaroslav Ganin, Victor S. Lempitsky

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

N⁴-Fields: Neural Network Nearest Neighbor Fields for Image Transforms.

Yaroslav Ganin, Victor S. Lempitsky

CoRR, 2014

N^4 -Fields: Neural Network Nearest Neighbor Fields for Image Transforms.

Yaroslav Ganin, Victor S. Lempitsky

Proceedings of the Computer Vision - ACCV 2014, 2014