Elena Sokolova

According to our database, Elena Sokolova authored at least 13 papers between 2014 and 2024.

Collaborative distances:

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

2024

BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data.

Mateusz Lajszczak, Guillermo Cámbara, Yang Li, Fatih Beyhan, Arent van Korlaar, Fan Yang, Arnaud Joly, Álvaro Martín-Cortinas, Ammar Abbas, Adam Michalski, Alexis Moinet, Sri Karlapati, Ewa Muszynska, Haohan Guo, Bartosz Putrycz, Soledad López Gambino, Kayeon Yoo, Elena Sokolova, Thomas Drugman

CoRR, 2024

2023

Controllable Emphasis with zero data for text-to-speech.

Arnaud Joly, Marco Nicolis, Ekaterina Peterova, Alessandro Lombardi, Ammar Abbas, Arent van Korlaar, Aman Hussain, Parul Sharma, Alexis Moinet, Mateusz Lajszczak, Penny Karanasou, Antonio Bonafonte, Thomas Drugman, Elena Sokolova

CoRR, 2023

Whole-body PET image denoising for reduced acquisition time.

Ivan Kruzhilov, Stepan Kudin, Luka Vetoshkin, Elena Sokolova, Vladimir Kokh

CoRR, 2023

The Second Workshop on Applied Machine Learning Management.

Dmitri Goldenberg, Chana Ross, Shir Meir Lador, Lin Lee Cheong, Panpan Xu, Elena Sokolova, Amit Mandelbaum, Irina Vasilinetc, Ankit Jain, Amit Weil Modlinger, Saloni Potdar

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Workshop on Applied Machine Learning Management.

Dmitri Goldenberg, Elena Sokolova, Shir Meir Lador, Amit Mandelbaum, Irina Vasilinetc, Ankit Jain

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Distribution Augmentation for Low-Resource Expressive Text-To-Speech.

Mateusz Lajszczak, Animesh Prasad, Arent van Korlaar, Bajibabu Bollepalli, Antonio Bonafonte, Arnaud Joly, Marco Nicolis, Alexis Moinet, Thomas Drugman, Trevor Wood, Elena Sokolova

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning.

Manvel Avetisian, Ilya Burenko, Konstantin Egorov, Vladimir Kokh, Aleksandr Nesterov, Aleksandr Nikolaev, Alexander Ponomarchuk, Elena Sokolova, Alex Tuzhilin, Dmitry Umerenkov

ACM Trans. Manag. Inf. Syst., 2021

Generating Mammography Reports from Multi-view Mammograms with BERT.

Alexander Yalunin, Elena Sokolova, Ilya Burenko, Alexander Ponomarchuk, Olga Puchkova, Dmitriy Umerenkov

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Noise-resilient Automatic Interpretation of Holter ECG Recordings.

Konstantin Egorov, Elena Sokolova, Manvel Avetisian, Alexander Tuzhilin

Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

2017

Handling hybrid and missing data in constraint-based causal discovery to study the etiology of ADHD.

Elena Sokolova, Daniel von Rhein, Jilly Naaijen, Perry Groot, Tom Claassen, Jan K. Buitelaar, Tom Heskes

Int. J. Data Sci. Anal., 2017

2016

Computing Lower and Upper Bounds on the Probability of Causal Statements.

Elena Sokolova, Martine Hoogman, Perry Groot, Tom Claassen, Tom Heskes

Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

2015

Causal Discovery from Medical Data: Dealing with Missing Values and a Mixture of Discrete and Continuous Data.

Elena Sokolova, Perry Groot, Tom Claassen, Daniel von Rhein, Jan K. Buitelaar, Tom Heskes

Proceedings of the Artificial Intelligence in Medicine, 2015

2014

Causal Discovery from Databases with Discrete and Continuous Variables.

Elena Sokolova, Perry Groot, Tom Claassen, Tom Heskes

Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014