Elena Sokolova

18 papers A* 3B 1Misc 1Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data.
CoRR
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
2024 A* conf
The Third Workshop on Applied Machine Learning Management.
KDD
Dmitri Goldenberg, Shir Meir Lador, Elena Sokolova, Lin Lee Cheong, Mohak Sukhwani, Saloni Potdar
2023 — conf
Controllable Emphasis with zero data for text-to-speech.
SSW
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
2023 J jnl
Controllable Emphasis with zero data for text-to-speech.
CoRR
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
2023 A* conf
The Second Workshop on Applied Machine Learning Management.
KDD
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
2023 J jnl
Whole-body PET image denoising for reduced acquisition time.
CoRR
Ivan Kruzhilov, Stepan Kudin, Luka Vetoshkin, Elena Sokolova, Vladimir Kokh
2022 Misc conf
Distribution Augmentation for Low-Resource Expressive Text-To-Speech.
ICASSP
Mateusz Lajszczak, Animesh Prasad, Arent van Korlaar, Bajibabu Bollepalli, Antonio Bonafonte, Arnaud Joly, Marco Nicolis, Alexis Moinet, Thomas Drugman, Trevor Wood, Elena Sokolova
2022 J jnl
Distribution augmentation for low-resource expressive text-to-speech.
CoRR
Mateusz Lajszczak, Animesh Prasad, Arent van Korlaar, Bajibabu Bollepalli, Antonio Bonafonte, Arnaud Joly, Marco Nicolis, Alexis Moinet, Thomas Drugman, Trevor Wood, Elena Sokolova
2022 A* conf
Workshop on Applied Machine Learning Management.
KDD
Dmitri Goldenberg, Elena Sokolova, Shir Meir Lador, Amit Mandelbaum, Irina Vasilinetc, Ankit Jain
2021 J jnl
CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning.
CoRR
Manvel Avetisian, Ilya Burenko, Konstantin Egorov, Vladimir Kokh, Aleksandr Nesterov, Aleksandr Nikolaev, Alexander Ponomarchuk, Elena Sokolova, Alexander Tuzhilin, Dmitry Umerenkov
2021 J jnl
CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning.
ACM Trans. Manag. Inf. Syst.
Manvel Avetisian, Ilya Burenko, Konstantin Egorov, Vladimir Kokh, Aleksandr Nesterov, Aleksandr Nikolaev, Alexander Ponomarchuk, Elena Sokolova, Alex Tuzhilin, Dmitry Umerenkov
2021 — conf
Generating Mammography Reports from Multi-view Mammograms with BERT.
EMNLP (Findings)
Alexander Yalunin, Elena Sokolova, Ilya Burenko, Alexander Ponomarchuk, Olga Puchkova, Dmitriy Umerenkov
2021 — conf
Noise-resilient Automatic Interpretation of Holter ECG Recordings.
BIOSIGNALS
Konstantin Egorov, Elena Sokolova, Manvel Avetisian, Alexander Tuzhilin
2020 J jnl
Noise-Resilient Automatic Interpretation of Holter ECG Recordings.
CoRR
Konstantin Egorov, Elena Sokolova, Manvel Avetisian, Alexander Tuzhilin
2017 J jnl
Handling hybrid and missing data in constraint-based causal discovery to study the etiology of ADHD.
Int. J. Data Sci. Anal.
Elena Sokolova, Daniel von Rhein, Jilly Naaijen, Perry Groot, Tom Claassen, Jan K. Buitelaar, Tom Heskes
2016 — conf
Computing Lower and Upper Bounds on the Probability of Causal Statements.
Probabilistic Graphical Models
Elena Sokolova, Martine Hoogman, Perry Groot, Tom Claassen, Tom Heskes
2015 B conf
Causal Discovery from Medical Data: Dealing with Missing Values and a Mixture of Discrete and Continuous Data.
AIME
Elena Sokolova, Perry Groot, Tom Claassen, Daniel von Rhein, Jan K. Buitelaar, Tom Heskes
2014 — conf
Causal Discovery from Databases with Discrete and Continuous Variables.
Probabilistic Graphical Models
Elena Sokolova, Perry Groot, Tom Claassen, Tom Heskes