Elena Sokolova

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 16

Top Topics

Causal Discovery

Lower And Upper Bounds

Machine Learning

Top Venues

Probabilistic Graphical Models

ACM Trans. Manag. Inf. Syst.

Publications

Dmitri Goldenberg, Shir Meir Lador, Elena Sokolova, Lin Lee Cheong, Mohak Sukhwani, Saloni Potdar
The Third Workshop on Applied Machine Learning Management. KDD (2024)
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
BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data. CoRR (2024)
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
Controllable Emphasis with zero data for text-to-speech. CoRR (2023)
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
Controllable Emphasis with zero data for text-to-speech. SSW (2023)
Ivan Kruzhilov, Stepan Kudin, Luka Vetoshkin, Elena Sokolova, Vladimir Kokh
Whole-body PET image denoising for reduced acquisition time. CoRR (2023)
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
The Second Workshop on Applied Machine Learning Management. KDD (2023)
Mateusz Lajszczak, Animesh Prasad, Arent van Korlaar, Bajibabu Bollepalli, Antonio Bonafonte, Arnaud Joly, Marco Nicolis, Alexis Moinet, Thomas Drugman, Trevor Wood, Elena Sokolova
Distribution Augmentation for Low-Resource Expressive Text-To-Speech. ICASSP (2022)
Mateusz Lajszczak, Animesh Prasad, Arent van Korlaar, Bajibabu Bollepalli, Antonio Bonafonte, Arnaud Joly, Marco Nicolis, Alexis Moinet, Thomas Drugman, Trevor Wood, Elena Sokolova
Distribution augmentation for low-resource expressive text-to-speech. CoRR (2022)
Dmitri Goldenberg, Elena Sokolova, Shir Meir Lador, Amit Mandelbaum, Irina Vasilinetc, Ankit Jain
Workshop on Applied Machine Learning Management. KDD (2022)
Alexander Yalunin, Elena Sokolova, Ilya Burenko, Alexander Ponomarchuk, Olga Puchkova, Dmitriy Umerenkov
Generating Mammography Reports from Multi-view Mammograms with BERT. EMNLP (Findings) (2021)
Manvel Avetisian, Ilya Burenko, Konstantin Egorov, Vladimir Kokh, Aleksandr Nesterov, Aleksandr Nikolaev, Alexander Ponomarchuk, Elena Sokolova, Alex Tuzhilin, Dmitry Umerenkov
CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning. ACM Trans. Manag. Inf. Syst. 12 (4) (2021)
Konstantin Egorov, Elena Sokolova, Manvel Avetisian, Alexander Tuzhilin
Noise-resilient Automatic Interpretation of Holter ECG Recordings. BIOSIGNALS (2021)
Manvel Avetisian, Ilya Burenko, Konstantin Egorov, Vladimir Kokh, Aleksandr Nesterov, Aleksandr Nikolaev, Alexander Ponomarchuk, Elena Sokolova, Alexander Tuzhilin, Dmitry Umerenkov
CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning. CoRR (2021)
Konstantin Egorov, Elena Sokolova, Manvel Avetisian, Alexander Tuzhilin
Noise-Resilient Automatic Interpretation of Holter ECG Recordings. CoRR (2020)
Elena Sokolova, Daniel von Rhein, Jilly Naaijen, Perry Groot, Tom Claassen, Jan K. Buitelaar, Tom Heskes
Handling hybrid and missing data in constraint-based causal discovery to study the etiology of ADHD. Int. J. Data Sci. Anal. 3 (2) (2017)
Elena Sokolova, Martine Hoogman, Perry Groot, Tom Claassen, Tom Heskes
Computing Lower and Upper Bounds on the Probability of Causal Statements. Probabilistic Graphical Models (2016)
Elena Sokolova, Perry Groot, Tom Claassen, Daniel von Rhein, Jan K. Buitelaar, Tom Heskes
Causal Discovery from Medical Data: Dealing with Missing Values and a Mixture of Discrete and Continuous Data. AIME (2015)
Elena Sokolova, Perry Groot, Tom Claassen, Tom Heskes
Causal Discovery from Databases with Discrete and Continuous Variables. Probabilistic Graphical Models (2014)