Valentin Khrulkov

According to our database1, Valentin Khrulkov authored at least 11 papers between 2017 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Tensor Train Decomposition on TensorFlow (T3F).
J. Mach. Learn. Res., 2020

Sample Efficient Ensemble Learning with Catalyst.RL.
CoRR, 2020

2019
Universality Theorems for Generative Models.
CoRR, 2019

Hyperbolic Image Embeddings.
CoRR, 2019

Tensorized Embedding Layers for Efficient Model Compression.
CoRR, 2019

Generalized Tensor Models for Recurrent Neural Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
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

2017
Vico-Greengard-Ferrando quadratures in the tensor solver for integral equations.
CoRR, 2017


  Loading...