I. Redko

发表

Non-negative embedding for fully unsupervised domain adaptation

Ievgen Redko, Younès Bennani, I. Redko, 2016, Pattern Recognit. Lett..

Theoretical Analysis of Domain Adaptation with Optimal Transport pdf

Ievgen Redko, Marc Sebban, Amaury Habrard, 2016, ECML/PKDD.

POT: Python Optimal Transport

Nicolas Courty, Ievgen Redko, Stanislas Chambon, 2021, J. Mach. Learn. Res..

Unbalanced CO-Optimal Transport

N. Courty, Rémi Flamary, I. Redko, 2022, AAAI.

Meta Optimal Transport

Brandon Amos, I. Redko, Samuel Cohen, 2022, ArXiv.

A survey on domain adaptation theory

Amaury Habrard, M. Sebban, Emilie Morvant, 2020, ArXiv.

Improving Few-Shot Learning Through Multi-task Representation Learning Theory

Amaury Habrard, I. Redko, Romaric Audigier, 2020, ECCV.

Why do State-of-the-art Super-Resolution Methods not work well for Bone Microstructure CT Imaging?

M. Sebban, I. Redko, F. Peyrin, 2022, 2022 30th European Signal Processing Conference (EUSIPCO).

Rank-one partitioning: formalization, illustrative examples, and a new cluster enhancing strategy pdf

Ievgen Redko, Franck Iutzeler, Charlotte Laclau, 2020, ArXiv.

Factored couplings in multi-marginal optimal transport via difference of convex programming pdf

Nicolas Courty, Ievgen Redko, Quang Huy Tran, 2021, ArXiv.

Co-clustering through Optimal Transport

Ievgen Redko, Younès Bennani, Basarab Matei, 2017, ICML.

RATE OF DETECTION OF ENDOCRINE DISEASES IN CHILDREN IN THE PRACTICE OF A FAMILY DOCTOR

I. Redko, E. Chakmazova, 2020, Modern medical technologies.

All of the Fairness for Edge Prediction with Optimal Transport pdf

Ievgen Redko, Christine Largeron, Charlotte Laclau, 2020, AISTATS.

A survey on domain adaptation theory pdf

Ievgen Redko, Marc Sebban, Amaury Habrard, 2020, ArXiv.

On Fair Cost Sharing Games in Machine Learning

Ievgen Redko, Charlotte Laclau, I. Redko, 2019, AAAI.

Meta Optimal Transport

Brandon Amos, I. Redko, Samuel Cohen, 2022, ICML.

Margin-aware Adversarial Domain Adaptation with Optimal Transport

Carole Lartizien, Ievgen Redko, Sofien Dhouib, 2020, ICML.

Optimal Transport for Multi-source Domain Adaptation under Target Shift

Nicolas Courty, Ievgen Redko, Devis Tuia, 2018, AISTATS.

On the analysis of adaptability in multi-source domain adaptation

Amaury Habrard, M. Sebban, I. Redko, 2019, Machine Learning.

Advances in Domain Adaptation Theory

Ievgen Redko, Younès Bennani, Marc Sebban, 2019 .

Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond pdf

Ievgen Redko, Charlotte Laclau, Nina Vesseron, 2020, AISTATS.

Beyond invariant representation learning: linearly alignable latent spaces for efficient closed-form domain adaptation

V. Kyrki, I. Redko, Markus Heinonen, 2023, ArXiv.

Revisiting invariances and introducing priors in Gromov-Wasserstein distances

I. Redko, Ritambhara Singh, Quang-Huy Tran, 2023, ArXiv.

Jointly aligning cells and genomic features of single-cell multi-omics data with co-optimal transport

I. Redko, Ritambhara Singh, Quang-Huy Tran, 2022, bioRxiv.

Feature Selection for Unsupervised Domain Adaptation using Optimal Transport pdf

Carole Lartizien, Ievgen Redko, Léo Gautheron, 2018, ECML/PKDD.

Optimal Transport for Multi-source Domain Adaptation under Target Shift

N. Courty, Rémi Flamary, I. Redko, 2018, AISTATS.

Learning representations that are closed-form Monge mapping optimal with application to domain adaptation

V. Kyrki, I. Redko, Markus Heinonen, 2023, 2305.07500.

Non-negative Matrix Factorization with Schatten p-norms Reguralization

Ievgen Redko, Younès Bennani, I. Redko, 2014, ICONIP.

Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias

I. Redko, Vasilii Feofanov, Ambroise Odonnat, 2023, ArXiv.

Characterising Gradients for Unsupervised Accuracy Estimation under Distribution Shift

I. Redko, Renchunzi Xie, Vasilii Feofanov, 2024, ArXiv.

Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift

I. Redko, Renchunzi Xie, Vasilii Feofanov, 2024, 2401.08909.

Unbalanced CO-Optimal Transport

N. Courty, Rémi Flamary, I. Redko, 2022, AAAI.

A Swiss Army Knife for Minimax Optimal Transport

Rémi Emonet, Ievgen Redko, Marc Sebban, 2020, ICML.

Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting

Cosme Louart, I. Redko, Themis Palpanas, 2024, 2406.10327.

SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention

I. Redko, Themis Palpanas, Aladin Virmaux, 2024, 2402.10198.