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Dive into the research topics where Rémi Flamary is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein
Van Assel, H., Vincent-Cuaz, C., Courty, N., Flamary, R., Frossard, P. & Vayer, T., 1 Jan 2025, In: Transactions on Machine Learning Research. 2025Research output: Contribution to journal › Article › peer-review
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PROPERTIES OF DISCRETE SLICED WASSERSTEIN LOSSES
TANGUY, E. L. O. I., FLAMARY, R. É. M. I. & DELON, J., 1 Jan 2025, In: Mathematics of Computation. 94, 353, p. 1411-1465 55 p.Research output: Contribution to journal › Article › peer-review
Open Access -
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities
Lalou, Y., Gnassounou, T., Collas, A., de Mathelin, A., Kachaiev, O., Odonnat, A., Moreau, T., Gramfort, A. & Flamary, R., 1 Jan 2025, In: Transactions on Machine Learning Research. 2025-JulyResearch output: Contribution to journal › Article › peer-review
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Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss
Krzakala, P., Yang, J., Flamary, R., d'Alché-Buc, F., Laclau, C. & Labeau, M., 1 Jan 2024, In: Advances in Neural Information Processing Systems. 37Research output: Contribution to journal › Conference article › peer-review
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Neural network time-series classifiers for gravitational-wave searches in single-detector periods
Trovato, A., Chassande-Mottin, E., Bejger, M., Flamary, R. & Courty, N., 20 Jun 2024, In: Classical and Quantum Gravity. 41, 12, 125003.Research output: Contribution to journal › Article › peer-review
Open Access -
Reconstructing discrete measures from projections. Consequences on the empirical Sliced Wasserstein Distance
Tanguy, E., Flamary, R. & Delon, J., 1 Jan 2024, In: Comptes Rendus Mathematique. 362, p. 1121-1129 9 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Convolutional Monge Mapping Normalization for learning on sleep data
Gnassounou, T., Flamary, R. & Gramfort, A., 1 Jan 2023, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 36).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Entropic Wasserstein Component Analysis
Collas, A., Vayer, T., Flamary, R. & Breloy, A., 1 Jan 2023, Proceedings of the 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing, MLSP 2023. Comminiello, D. & Scarpiniti, M. (eds.). IEEE Computer Society, (IEEE International Workshop on Machine Learning for Signal Processing, MLSP; vol. 2023-September).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities
Van Assel, H., Vayer, T., Flamary, R. & Courty, N., 1 Jan 2023, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 36).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Unbalanced CO-optimal Transport
Tran, Q. H., Janati, H., Courty, N., Flamary, R., Redko, I., Demetci, P. & Singh, R., 27 Jun 2023, AAAI-23 Technical Tracks 8. Williams, B., Chen, Y. & Neville, J. (eds.). AAAI Press, p. 10006-10016 11 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access