Nataliya Sokolovska

Full Professor, CQSB, Sorbonne university

Joined

May 2020

Names

Nataliya Sokolovska (Preferred)

Emails

****@gmail.com (Confirmed)

****@sorbonne-universite.fr (Confirmed)

Personal Links

Homepage

DBLP

Career & Education History

Full Professor

CQSB, Sorbonne university (sorbonne-universite.fr)

2022 – Present

Advisors, Relations & Conflicts

PhD Advisor

Olivier Cappé

2006 – 2010

PhD Advisor

François Yvon

2006 – 2010

Expertise

interpretable models; causal inference

2017 – 2030

graphical models; semi-supervised learning; feature selection

2010 – 2030

supervised learning; clustering

2010 – 2030

Publications

Learning Sparse Representations of Preferences within Choquet Expected Utility Theory
Margot Herin, Patrice Perny, Nataliya Sokolovska
- Published: 20 May 2022, Last Modified: 05 May 2023
- UAI 2022 Poster
- Readers: Everyone
Using Unlabeled Data to Discover Bivariate Causality with Deep Restricted Boltzmann Machines
Nataliya Sokolovska, Olga Permiakova, Sofia K. Forslund, Jean-Daniel Zucker
- 2020 (modified: 08 Nov 2022)
- IEEE/ACM Trans. Comput. Biology Bioinform. 2020
- Readers: Everyone
A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks
Asma Atamna, Nataliya Sokolovska, Jean-Claude Crivello
- 2020 (modified: 25 Jul 2025)
- IDA 2020
- Readers: Everyone
Robust structure measures of metabolic networks that predict prokaryotic optimal growth temperature
Adèle Weber Zendrera, Nataliya Sokolovska, Hédi Soula
- 2019 (modified: 08 Nov 2022)
- BMC Bioinform. 2019
- Readers: Everyone
Revealing causality between heterogeneous data sources with deep restricted Boltzmann machines
Nataliya Sokolovska, Karine Clément, Jean-Daniel Zucker
- 2019 (modified: 13 Nov 2024)
- Inf. Fusion 2019
- Readers: Everyone
CrystalGAN: Learning to Discover Crystallographic Structures with Generative Adversarial Networks
Asma Nouira, Nataliya Sokolovska, Jean-Claude Crivello
- 2019 (modified: 28 May 2020)
- AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2019
- Readers: Everyone
Interpretable Cascade Classifiers with Abstention
Matthieu Clertant, Nataliya Sokolovska, Yann Chevaleyre, Blaise Hanczar
- 2019 (modified: 17 May 2023)
- AISTATS 2019
- Readers: Everyone
Disease Prediction Using Synthetic Image Representations of Metagenomic Data and Convolutional Neural Networks
Thanh Hai Nguyen, Edi Prifti, Nataliya Sokolovska, Jean-Daniel Zucker
- 2019 (modified: 13 Nov 2024)
- RIVF 2019
- Readers: Everyone
A Provable Algorithm for Learning Interpretable Scoring Systems
Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker
- 2018 (modified: 13 Nov 2024)
- AISTATS 2018
- Readers: Everyone
Consistent Spectral Methods for Dimensionality Reduction
Malika Kharouf, Tabea Rebafka, Nataliya Sokolovska
- 2018 (modified: 28 Jan 2025)
- EUSIPCO 2018
- Readers: Everyone

View all 32 publications

Co-Authors

View all 33 co-authors