| 2025 | CVPR | From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport. | Quentin Bouniot, Ievgen Redko, Anton Mallasto, Charlotte Laclau, Oliver Struckmeier, Karol Arndt, Markus Heinonen, Ville Kyrki, Samuel Kaski |
| 2025 | ICDE | User-Friendly Foundation Model Adapters for Multivariate Time Series Classification. | Romain Ilbert, Vasilii Feofanov, Malik Tiomoko, Ievgen Redko, Themis Palpanas |
| 2025 | ICLR | Zero-shot Model-based Reinforcement Learning using Large Language Models. | Abdelhakim Benechehab, Youssef Attia El Hili, Ambroise Odonnat, Oussama Zekri, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Ievgen Redko, Balzs Kgl |
| 2024 | AISTATS | Breaking isometric ties and introducing priors in Gromov-Wasserstein distances. | Pinar Demetci, Quang Huy Tran, Ievgen Redko, Ritambhara Singh |
| 2024 | AISTATS | Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias. | Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko |
| 2024 | ICML | SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention. | Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov, Aladin Virmaux, Giuseppe Paolo, Themis Palpanas, Ievgen Redko |
| 2023 | AAAI | Unbalanced CO-optimal Transport. | Quang Huy Tran, Hicham Janati, Nicolas Courty, Rmi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh |
| 2023 | ICML | Meta Optimal Transport. | Brandon Amos, Giulia Luise, Samuel Cohen, Ievgen Redko |
| 2022 | ECCV | Improving Few-Shot Learning Through Multi-task Representation Learning Theory. | Quentin Bouniot, Ievgen Redko, Romaric Audigier, Anglique Loesch, Amaury Habrard |
| 2021 | AISTATS | All of the Fairness for Edge Prediction with Optimal Transport. | Charlotte Laclau, Ievgen Redko, Manvi Choudhary, Christine Largeron |
| 2021 | AISTATS | Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond. | Nina Vesseron, Ievgen Redko, Charlotte Laclau |
| 2020 | ICML | A Swiss Army Knife for Minimax Optimal Transport. | Sofien Dhouib, Ievgen Redko, Tanguy Kerdoncuff, Rmi Emonet, Marc Sebban |
| 2020 | ICML | Margin-aware Adversarial Domain Adaptation with Optimal Transport. | Sofien Dhouib, Ievgen Redko, Carole Lartizien |
| 2019 | AAAI | On Fair Cost Sharing Games in Machine Learning. | Ievgen Redko, Charlotte Laclau |
| 2019 | AISTATS | Optimal Transport for Multi-source Domain Adaptation under Target Shift. | Ievgen Redko, Nicolas Courty, Rmi Flamary, Devis Tuia |
| 2018 | ECIR | Cross-Lingual Document Retrieval Using Regularized Wasserstein Distance. | Georgios Balikas, Charlotte Laclau, Ievgen Redko, Massih-Reza Amini |
| 2017 | ICML | Co-clustering through Optimal Transport. | Charlotte Laclau, Ievgen Redko, Basarab Matei, Youns Bennani, Vincent Brault |
| 2016 | ICPR | Kernel alignment for unsupervised transfer learning. | Ievgen Redko, Youns Bennani |
| 2015 | IJCNN | Sparsity analysis of learned factors in Multilayer NMF. | Ievgen Redko, Youns Bennani |
| 2014 | ICONIP | Non-negative Matrix Factorization with Schatten p-norms Reguralization. | Ievgen Redko, Youns Bennani |
| 2014 | IJCNN | Controlling orthogonality constraints for better NMF clustering. | Ievgen Redko, Youns Bennani |
| 2014 | IJCNN | Random subspaces NMF for unsupervised transfer learning. | Ievgen Redko, Youns Bennani |