According to our database1, Valentin Khrulkov authored at least 11 papers between 2017 and 2020.
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Tensor Train Decomposition on TensorFlow (T3F).
J. Mach. Learn. Res., 2020
Sample Efficient Ensemble Learning with Catalyst.RL.
Universality Theorems for Generative Models.
Hyperbolic Image Embeddings.
Tensorized Embedding Layers for Efficient Model Compression.
Generalized Tensor Models for Recurrent Neural Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019
Desingularization of Bounded-Rank Matrix Sets.
SIAM J. Matrix Anal. Appl., 2018
Geometry Score: A Method For Comparing Generative Adversarial Networks.
Proceedings of the 35th International Conference on Machine Learning, 2018
Expressive power of recurrent neural networks.
Proceedings of the 6th International Conference on Learning Representations, 2018
Art of Singular Vectors and Universal Adversarial Perturbations.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Vico-Greengard-Ferrando quadratures in the tensor solver for integral equations.