Causal Discovery from Databases with Discrete and Continuous Variables. - Elena Sokolova; Perry Groot; Tom Claassen; Tom Heskes (Probabilistic Graphical Models, 2014)

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 (AIME, 2015)

Computing Lower and Upper Bounds on the Probability of Causal Statements. - Elena Sokolova; Martine Hoogman; Perry Groot; Tom Claassen; Tom Heskes (Probabilistic Graphical Models, 2016)

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)

Noise-resilient Automatic Interpretation of Holter ECG Recordings. - Konstantin Egorov; Elena Sokolova; Manvel Avetisian; Alexander Tuzhilin (BIOSIGNALS, 2021)

Generating Mammography Reports from Multi-view Mammograms with BERT. - Alexander Yalunin; Elena Sokolova; Ilya Burenko; Alexander Ponomarchuk; Olga Puchkova; Dmitriy Umerenkov (EMNLP (Findings), 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)

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 (ICASSP, 2022)

Workshop on Applied Machine Learning Management. - Dmitri Goldenberg; Elena Sokolova; Shir Meir Lador; Amit Mandelbaum; Irina Vasilinetc; Ankit Jain (KDD, 2022)

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 (KDD, 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; et al. (SSW, 2023)

Whole-body PET image denoising for reduced acquisition time. - Ivan Kruzhilov; Stepan Kudin; Luka Vetoshkin; Elena Sokolova; Vladimir Kokh (CoRR, 2023)

The Third Workshop on Applied Machine Learning Management. - Dmitri Goldenberg; Shir Meir Lador; Elena Sokolova; Lin Lee Cheong; Mohak Sukhwani; Saloni Potdar (KDD, 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; et al. (CoRR, 2024)