Redko, Ievgen

28 publications

CVPR 2025 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

TMLR 2025 Leveraging Gradients for Unsupervised Accuracy Estimation Under Distribution Shift Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko, Jianfeng Zhang, Bo An

ICLR 2025 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, Balázs Kégl

NeurIPS 2024 Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting Romain Ilbert, Malik Tiomoko, Cosme Louart, Ambroise Odonnat, Vasilii Feofanov, Themis Palpanas, Ievgen Redko

AISTATS 2024 Breaking Isometric Ties and Introducing Priors in Gromov-Wasserstein Distances Pinar Demetci, Quang Huy Tran, Ievgen Redko, Ritambhara Singh

ICMLW 2024 Can LLMs Predict the Convergence of Stochastic Gradient Descent? Oussama Zekri, Abdelhakim Benechehab, Ievgen Redko

NeurIPSW 2024 Enhancing Multivariate Time Series Forecasting via Multi-Task Learning and Random Matrix Theory Romain Ilbert, Malik Tiomoko, Cosme Louart, Vasilii Feofanov, Themis Palpanas, Ievgen Redko

ICMLW 2024 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

AISTATS 2024 Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko

ICML 2024 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

TMLR 2023 Learning Representations That Are Closed-Form Monge Mapping Optimal with Application to Domain Adaptation Oliver Struckmeier, Ievgen Redko, Anton Mallasto, Karol Arndt, Markus Heinonen, Ville Kyrki

ICML 2023 Meta Optimal Transport Brandon Amos, Giulia Luise, Samuel Cohen, Ievgen Redko

AAAI 2023 Unbalanced CO-Optimal Transport Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh

ECCV 2022 Improving Few-Shot Learning Through Multi-Task Representation Learning Theory Quentin Bouniot, Ievgen Redko, Romaric Audigier, Angélique Loesch, Amaury Habrard

NeurIPSW 2022 Simultaneous Alignment of Cells and Features of Unpaired Single-Cell Multi-Omics Datasets with Co-Optimal Transport Pinar Demetci, Quang Huy Tran, Ievgen Redko, Ritambhara Singh

AISTATS 2021 All of the Fairness for Edge Prediction with Optimal Transport Charlotte Laclau, Ievgen Redko, Manvi Choudhary, Christine Largeron

AISTATS 2021 Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond Nina Vesseron, Ievgen Redko, Charlotte Laclau

MLOSS 2021 POT: Python Optimal Transport Rémi Flamary, Nicolas Courty, Alexandre Gramfort, Mokhtar Z. Alaya, Aurélie Boisbunon, Stanislas Chambon, Laetitia Chapel, Adrien Corenflos, Kilian Fatras, Nemo Fournier, Léo Gautheron, Nathalie T.H. Gayraud, Hicham Janati, Alain Rakotomamonjy, Ievgen Redko, Antoine Rolet, Antony Schutz, Vivien Seguy, Danica J. Sutherland, Romain Tavenard, Alexander Tong, Titouan Vayer

ICML 2020 A Swiss Army Knife for Minimax Optimal Transport Sofien Dhouib, Ievgen Redko, Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban

NeurIPS 2020 CO-Optimal Transport Vayer Titouan, Ievgen Redko, Rémi Flamary, Nicolas Courty

ICML 2020 Margin-Aware Adversarial Domain Adaptation with Optimal Transport Sofien Dhouib, Ievgen Redko, Carole Lartizien

AAAI 2019 On Fair Cost Sharing Games in Machine Learning Ievgen Redko, Charlotte Laclau

MLJ 2019 On the Analysis of Adaptability in Multi-Source Domain Adaptation Ievgen Redko, Amaury Habrard, Marc Sebban

AISTATS 2019 Optimal Transport for Multi-Source Domain Adaptation Under Target Shift Ievgen Redko, Nicolas Courty, Rémi Flamary, Devis Tuia

ECML-PKDD 2018 Feature Selection for Unsupervised Domain Adaptation Using Optimal Transport Léo Gautheron, Ievgen Redko, Carole Lartizien

NeurIPS 2018 Revisiting $(\epsilon, \gamma, \tau)$-Similarity Learning for Domain Adaptation Sofiane Dhouib, Ievgen Redko

ICML 2017 Co-Clustering Through Optimal Transport Charlotte Laclau, Ievgen Redko, Basarab Matei, Younès Bennani, Vincent Brault

ECML-PKDD 2017 Theoretical Analysis of Domain Adaptation with Optimal Transport Ievgen Redko, Amaury Habrard, Marc Sebban