Ievgen Redko - RankMe

65 papers A* 12A 6B 4Journal 36Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Layer by layer, module by module: Choose both for optimal OOD probing of ViT. CoRR Ambroise Odonnat, Vasilii Feofanov, Laetitia Chapel, Romain Tavenard, Ievgen Redko
2026	J	`jnl`	MantisV2: Closing the Zero-Shot Gap in Time Series Classification with Synthetic Data and Test-Time Strategies. CoRR Vasilii Feofanov, Songkang Wen, Jianfeng Zhang, Lujia Pan, Ievgen Redko
2026	J	`jnl`	Vision Transformer Finetuning Benefits from Non-Smooth Components. CoRR Ambroise Odonnat, Laetitia Chapel, Romain Tavenard, Ievgen Redko
2025	J	`jnl`	CauKer: classification time series foundation models can be pretrained on synthetic data only. CoRR Shifeng Xie, Vasilii Feofanov, Marius Alonso, Ambroise Odonnat, Jianfeng Zhang, Themis Palpanas, Ievgen Redko
2025	A*	`conf`	From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport. CVPR Quentin Bouniot, Ievgen Redko, Anton Mallasto, Charlotte Laclau, Oliver Struckmeier, Karol Arndt, Markus Heinonen, Ville Kyrki, Samuel Kaski
2025	J	`jnl`	Leveraging Generic Time Series Foundation Models for EEG Classification. CoRR Théo Gnassounou, Yessin Moakher, Shifeng Xie, Vasilii Feofanov, Ievgen Redko
2025	J	`jnl`	Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift. Trans. Mach. Learn. Res. Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko, Jianfeng Zhang, Bo An
2025	J	`jnl`	Mantis: Lightweight Calibrated Foundation Model for User-Friendly Time Series Classification. CoRR Vasilii Feofanov, Songkang Wen, Marius Alonso, Romain Ilbert, Hongbo Guo, Malik Tiomoko, Lujia Pan, Jianfeng Zhang, Ievgen Redko
2025	J	`jnl`	Time Series Representations for Classification Lie Hidden in Pretrained Vision Transformers. CoRR Simon Roschmann, Quentin Bouniot, Vasilii Feofanov, Ievgen Redko, Zeynep Akata
2025	—	`conf`	User-Friendly Foundation Model Adapters for Multivariate Time Series Classification. ICDEW Romain Ilbert, Vasilii Feofanov, Malik Tiomoko, Ievgen Redko, Themis Palpanas
2025	A*	`conf`	Zero-shot Model-based Reinforcement Learning using Large Language Models. ICLR Abdelhakim Benechehab, Youssef Attia El Hili, Ambroise Odonnat, Oussama Zekri, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Ievgen Redko, Balázs Kégl
2024	A*	`conf`	Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting. NeurIPS Romain Ilbert, Malik Tiomoko, Cosme Louart, Ambroise Odonnat, Vasilii Feofanov, Themis Palpanas, Ievgen Redko
2024	J	`jnl`	Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting. CoRR Romain Ilbert, Malik Tiomoko, Cosme Louart, Ambroise Odonnat, Vasilii Feofanov, Themis Palpanas, Ievgen Redko
2024	A	`conf`	Breaking isometric ties and introducing priors in Gromov-Wasserstein distances. AISTATS Pinar Demetci, Quang Huy Tran, Ievgen Redko, Ritambhara Singh
2024	J	`jnl`	Can LLMs predict the convergence of Stochastic Gradient Descent? CoRR Oussama Zekri, Abdelhakim Benechehab, Ievgen Redko
2024	J	`jnl`	Characterising Gradients for Unsupervised Accuracy Estimation under Distribution Shift. CoRR Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko, Jianfeng Zhang, Bo An
2024	J	`jnl`	Large Language Models as Markov Chains. CoRR Oussama Zekri, Ambroise Odonnat, Abdelhakim Benechehab, Linus Bleistein, Nicolas Boullé, Ievgen Redko
2024	A	`conf`	Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias. AISTATS Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko
2024	A*	`conf`	SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention. ICML Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov, Aladin Virmaux, Giuseppe Paolo, Themis Palpanas, Ievgen Redko
2024	J	`jnl`	Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention. CoRR Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov, Aladin Virmaux, Giuseppe Paolo, Themis Palpanas, Ievgen Redko
2024	J	`jnl`	User-friendly Foundation Model Adapters for Multivariate Time Series Classification. CoRR Vasilii Feofanov, Romain Ilbert, Malik Tiomoko, Themis Palpanas, Ievgen Redko
2024	J	`jnl`	Zero-shot Model-based Reinforcement Learning using Large Language Models. CoRR Abdelhakim Benechehab, Youssef Attia El Hili, Ambroise Odonnat, Oussama Zekri, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Ievgen Redko, Balázs Kégl
2023	J	`jnl`	Beyond invariant representation learning: linearly alignable latent spaces for efficient closed-form domain adaptation. CoRR Oliver Struckmeier, Ievgen Redko, Anton Mallasto, Karol Arndt, Markus Heinonen, Ville Kyrki
2023	J	`jnl`	Learning representations that are closed-form Monge mapping optimal with application to domain adaptation. Trans. Mach. Learn. Res. Oliver Struckmeier, Ievgen Redko, Anton Mallasto, Karol Arndt, Markus Heinonen, Ville Kyrki
2023	J	`jnl`	Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias. CoRR Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko
2023	A*	`conf`	Meta Optimal Transport. ICML Brandon Amos, Giulia Luise, Samuel Cohen, Ievgen Redko
2023	J	`jnl`	Revisiting invariances and introducing priors in Gromov-Wasserstein distances. CoRR Pinar Demetci, Quang Huy Tran, Ievgen Redko, Ritambhara Singh
2023	A*	`conf`	Unbalanced CO-optimal Transport. AAAI Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh
2023	J	`jnl`	Understanding deep neural networks through the lens of their non-linearity. CoRR Quentin Bouniot, Ievgen Redko, Anton Mallasto, Charlotte Laclau, Karol Arndt, Oliver Struckmeier, Markus Heinonen, Ville Kyrki, Samuel Kaski
2022	—	`conf`	Improving Few-Shot Learning Through Multi-task Representation Learning Theory. ECCV (20) Quentin Bouniot, Ievgen Redko, Romaric Audigier, Angélique Loesch, Amaury Habrard
2022	J	`jnl`	Meta Optimal Transport. CoRR Brandon Amos, Samuel Cohen, Giulia Luise, Ievgen Redko
2022	J	`jnl`	Unbalanced CO-Optimal Transport. CoRR Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh
2022	—	`conf`	Why do State-of-the-art Super-Resolution Methods not work well for Bone Microstructure CT Imaging? EUSIPCO Rehan Jhuboo, Ievgen Redko, Alain Guignandon, Françoise Peyrin, Marc Sebban
2021	A	`conf`	All of the Fairness for Edge Prediction with Optimal Transport. AISTATS Charlotte Laclau, Ievgen Redko, Manvi Choudhary, Christine Largeron
2021	A	`conf`	Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond. AISTATS Nina Vesseron, Ievgen Redko, Charlotte Laclau
2021	J	`jnl`	Factored couplings in multi-marginal optimal transport via difference of convex programming. CoRR Quang Huy Tran, Hicham Janati, Ievgen Redko, Rémi Flamary, Nicolas Courty
2021	J	`jnl`	POT: Python Optimal Transport. J. Mach. Learn. Res. 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
2020	A*	`conf`	A Swiss Army Knife for Minimax Optimal Transport. ICML Sofien Dhouib, Ievgen Redko, Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban
2020	J	`jnl`	A survey on domain adaptation theory. CoRR Ievgen Redko, Emilie Morvant, Amaury Habrard, Marc Sebban, Younès Bennani
2020	J	`jnl`	All of the Fairness for Edge Prediction with Optimal Transport. CoRR Charlotte Laclau, Ievgen Redko, Manvi Choudhary, Christine Largeron
2020	A*	`conf`	CO-Optimal Transport. NeurIPS Titouan Vayer, Ievgen Redko, Rémi Flamary, Nicolas Courty
2020	J	`jnl`	CO-Optimal Transport. CoRR Ievgen Redko, Titouan Vayer, Rémi Flamary, Nicolas Courty
2020	J	`jnl`	Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond. CoRR Nina Vesseron, Ievgen Redko, Charlotte Laclau
2020	A*	`conf`	Margin-aware Adversarial Domain Adaptation with Optimal Transport. ICML Sofien Dhouib, Ievgen Redko, Carole Lartizien
2020	J	`jnl`	Putting Theory to Work: From Learning Bounds to Meta-Learning Algorithms. CoRR Quentin Bouniot, Ievgen Redko, Romaric Audigier, Angélique Loesch, Amaury Habrard
2020	J	`jnl`	Rank-one partitioning: formalization, illustrative examples, and a new cluster enhancing strategy. CoRR Charlotte Laclau, Franck Iutzeler, Ievgen Redko
2019	A*	`conf`	On Fair Cost Sharing Games in Machine Learning. AAAI Ievgen Redko, Charlotte Laclau
2019	J	`jnl`	On the analysis of adaptability in multi-source domain adaptation. Mach. Learn. Ievgen Redko, Amaury Habrard, Marc Sebban
2019	A	`conf`	Optimal Transport for Multi-source Domain Adaptation under Target Shift. AISTATS Ievgen Redko, Nicolas Courty, Rémi Flamary, Devis Tuia
2018	A	`conf`	Cross-Lingual Document Retrieval Using Regularized Wasserstein Distance. ECIR Georgios Balikas, Charlotte Laclau, Ievgen Redko, Massih-Reza Amini
2018	J	`jnl`	Cross-lingual Document Retrieval using Regularized Wasserstein Distance. CoRR Georgios Balikas, Charlotte Laclau, Ievgen Redko, Massih-Reza Amini
2018	—	`conf`	Feature Selection for Unsupervised Domain Adaptation Using Optimal Transport. ECML/PKDD (2) Léo Gautheron, Ievgen Redko, Carole Lartizien
2018	J	`jnl`	Feature Selection for Unsupervised Domain Adaptation using Optimal Transport. CoRR Léo Gautheron, Ievgen Redko, Carole Lartizien
2018	—	`conf`	Population Averaging of Neuroimaging Data Using L PRNI Qi Wang, Ievgen Redko, Sylvain Takerkart
2018	A*	`conf`	Revisiting (\epsilon, \gamma, \tau)-similarity learning for domain adaptation. NeurIPS Sofiane Dhouib, Ievgen Redko
2017	A*	`conf`	Co-clustering through Optimal Transport. ICML Charlotte Laclau, Ievgen Redko, Basarab Matei, Younès Bennani, Vincent Brault
2017	—	`conf`	Theoretical Analysis of Domain Adaptation with Optimal Transport. ECML/PKDD (2) Ievgen Redko, Amaury Habrard, Marc Sebban
2016	J	`jnl`	Kernel Alignment for Unsupervised Transfer Learning. CoRR Ievgen Redko, Younès Bennani
2016	B	`conf`	Kernel alignment for unsupervised transfer learning. ICPR Ievgen Redko, Younès Bennani
2016	J	`jnl`	Non-negative embedding for fully unsupervised domain adaptation. Pattern Recognit. Lett. Ievgen Redko, Younès Bennani
2016	J	`jnl`	Theoretical Analysis of Domain Adaptation with Optimal Transport. CoRR Ievgen Redko, Amaury Habrard, Marc Sebban
2015	B	`conf`	Sparsity analysis of learned factors in Multilayer NMF. IJCNN Ievgen Redko, Younès Bennani
2014	B	`conf`	Controlling orthogonality constraints for better NMF clustering. IJCNN Ievgen Redko, Younès Bennani
2014	—	`conf`	Non-negative Matrix Factorization with Schatten p-norms Reguralization. ICONIP (2) Ievgen Redko, Younès Bennani
2014	B	`conf`	Random subspaces NMF for unsupervised transfer learning. IJCNN Ievgen Redko, Younès Bennani