N^4 -Fields: Neural Network Nearest Neighbor Fields for Image Transforms. - Yaroslav Ganin; Victor S. Lempitsky (ACCV (2), 2014)

N4-Fields: Neural Network Nearest Neighbor Fields for Image Transforms. - Yaroslav Ganin; Victor S. Lempitsky (CoRR, 2014)

Unsupervised Domain Adaptation by Backpropagation. - Yaroslav Ganin; Victor S. Lempitsky (ICML, 2015)

Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition. - Vadim Lebedev; Yaroslav Ganin; Maksim Rakhuba; Ivan V. Oseledets; Victor S. Lempitsky (ICLR (Poster), 2015)

Multiregion Bilinear Convolutional Neural Networks for Person Re-Identification. - Evgeniya Ustinova; Yaroslav Ganin; Victor S. Lempitsky (CoRR, 2015)

DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation. - Yaroslav Ganin; Daniil Kononenko; Diana Sungatullina; Victor S. Lempitsky (ECCV (2), 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)

Multi-Region bilinear convolutional neural networks for person re-identification. - Evgeniya Ustinova; Yaroslav Ganin; Victor S. Lempitsky (AVSS, 2017)

GibbsNet: Iterative Adversarial Inference for Deep Graphical Models. - Alex Lamb; R. Devon Hjelm; Yaroslav Ganin; Joseph Paul Cohen; Aaron C. Courville; Yoshua Bengio (NIPS, 2017)

Domain-Adversarial Training of Neural Networks. - Yaroslav Ganin; Evgeniya Ustinova; Hana Ajakan; Pascal Germain; Hugo Larochelle; François Laviolette; Mario Marchand; Victor S. Lempitsky (Domain Adaptation in Computer Vision Applications, 2017)

Synthesizing Programs for Images using Reinforced Adversarial Learning. - Yaroslav Ganin; Tejas Kulkarni; Igor Babuschkin; S. M. Ali Eslami; Oriol Vinyals (ICML, 2018)

Photorealistic Monocular Gaze Redirection Using Machine Learning. - Daniil Kononenko; Yaroslav Ganin; Diana Sungatullina; Victor S. Lempitsky (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

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)

PolyGen: An Autoregressive Generative Model of 3D Meshes. - Charlie Nash; Yaroslav Ganin; S. M. Ali Eslami; Peter W. Battaglia (ICML, 2020)

Computer-Aided Design as Language. - Yaroslav Ganin; Sergey Bartunov; Yujia Li; Ethan Keller; Stefano Saliceti (NeurIPS, 2021)

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; et al. (LoG, 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)

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; et al. (CoRR, 2022)