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Elena Sokolova
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2020 – today
- 2024
- [c10]Dmitri Goldenberg
, Shir Meir Lador
The Third Workshop on Applied Machine Learning Management. KDD 2024: 6714-6715 - [i6]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 abs/2402.08093 (2024) - 2023
- [c9]Dmitri Goldenberg
The Second Workshop on Applied Machine Learning Management. KDD 2023: 5859-5860 - [c8]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: 113-119 - [i5]Ivan Kruzhilov, Stepan Kudin, Luka Vetoshkin, Elena Sokolova, Vladimir Kokh:
Whole-body PET image denoising for reduced acquisition time. CoRR abs/2303.16085 (2023) - [i4]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 abs/2307.07062 (2023) - 2022
- [c7]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: 8307-8311 - [c6]Dmitri Goldenberg, Elena Sokolova, Shir Meir Lador, Amit Mandelbaum, Irina Vasilinetc, Ankit Jain:
Workshop on Applied Machine Learning Management. KDD 2022: 4874-4875 - [i3]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 abs/2202.06409 (2022) - 2021
- [j2]Manvel Avetisian, Ilya Burenko, Konstantin Egorov, Vladimir Kokh, Aleksandr Nesterov, Aleksandr Nikolaev, Alexander Ponomarchuk
CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning. ACM Trans. Manag. Inf. Syst. 12(4): 28:1-28:16 (2021) - [c5]Konstantin Egorov, Elena Sokolova, Manvel Avetisian, Alexander Tuzhilin:
Noise-resilient Automatic Interpretation of Holter ECG Recordings. BIOSIGNALS 2021: 208-214 - [c4]Alexander Yalunin, Elena Sokolova, Ilya Burenko, Alexander Ponomarchuk
Generating Mammography Reports from Multi-view Mammograms with BERT. EMNLP (Findings) 2021: 153-162 - [i2]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 abs/2105.11863 (2021) - 2020
- [i1]Konstantin Egorov, Elena Sokolova, Manvel Avetisian, Alexander Tuzhilin:
Noise-Resilient Automatic Interpretation of Holter ECG Recordings. CoRR abs/2011.09303 (2020)
2010 – 2019
- 2017
- [j1]Elena Sokolova, Daniel von Rhein, Jilly Naaijen
Handling hybrid and missing data in constraint-based causal discovery to study the etiology of ADHD. Int. J. Data Sci. Anal. 3(2): 105-119 (2017) - 2016
- [c3]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: 487-498 - 2015
- [c2]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: 177-181 - 2014
- [c1]Elena Sokolova, Perry Groot, Tom Claassen, Tom Heskes
Causal Discovery from Databases with Discrete and Continuous Variables. Probabilistic Graphical Models 2014: 442-457
Coauthor Index
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last updated on 2024-10-07 21:13 CEST by the dblp team
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