Publications

2025

1. PSDNorm: Test-Time Temporal Normalization for Deep Learning in Sleep Staging

   Théo Gnassounou ,  Antoine Collas ,  Rémi Flamary , and 1 more author

   2025

   Bib PDF

   @misc{gnassounou2025psdnorm,
     title = {PSDNorm: Test-Time Temporal Normalization for Deep Learning in Sleep Staging},
     author = {Gnassounou, Théo and Collas, Antoine and Flamary, Rémi and Gramfort, Alexandre},
     year = {2025},
     eprint = {2503.04582},
     archiveprefix = {arXiv},
     primaryclass = {cs.LG},
     url = {https://arxiv.org/abs/2503.04582},
   }

2024

1. Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment

   Théo Gnassounou* ,  Antoine Collas* ,  Rémi Flamary , and 2 more authors

   2024

   Bib PDF

   @misc{gnassounou2024mongealigmnent,
     title = {Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment},
     author = {Gnassounou*, Théo and Collas*, Antoine and Flamary, Rémi and Lounici, Karim and Gramfort, Alexandre},
     year = {2024},
     eprint = {2407.14303},
     archiveprefix = {arXiv},
     primaryclass = {cs.LG},
     url = {https://arxiv.org/abs/2407.14303},
   }

2. SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation

   Yanis Lalou* ,  Théo Gnassounou* ,  Antoine Collas* , and 6 more authors

   2024

   Bib PDF

   @misc{lalou2024skadabench,
     title = {SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation},
     author = {Lalou*, Yanis and Gnassounou*, Théo and Collas*, Antoine and de Mathelin*, Antoine and Kachaiev, Oleksii and Odonnat, Ambroise and Gramfort, Alexandre and Moreau, Thomas and Flamary, Rémi},
     year = {2024},
     eprint = {2407.11676},
     archiveprefix = {arXiv},
     primaryclass = {cs.LG},
     url = {https://arxiv.org/abs/2407.11676},
   }

3. SKADA : Scikit Adaptation

   Théo Gnassounou ,  Oleksii Kachaiev ,  Rémi Flamary , and 10 more authors

   2024

2023

1. Convolutional Monge Mapping Normalization for learning on biosignals

   Théo Gnassounou ,  Rémi Flamary ,  and  Alexandre Gramfort

   In Neural Information Processing Systems (NeurIPS) , 2023

   Bib PDF

   @inproceedings{gnassounou2023convolutional,
     author = {Gnassounou, Théo and Flamary, Rémi and Gramfort, Alexandre},
     title = {Convolutional Monge Mapping Normalization for learning on biosignals},
     booktitle = {Neural Information Processing Systems (NeurIPS)},
     year = {2023}
   }

2021

1. Adaptive Subsampling of Multidomain Signals with Product Graphs

   Théo Gnassounou ,  Pierre Humbert ,  and  Laurent Oudre

   In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , 2021

   Bib PDF

   @inproceedings{9413459,
     author = {Gnassounou, Théo and Humbert, Pierre and Oudre, Laurent},
     booktitle = {ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     title = {Adaptive Subsampling of Multidomain Signals with Product Graphs},
     year = {2021},
     volume = {},
     number = {},
     pages = {5295-5299},
     doi = {10.1109/ICASSP39728.2021.9413459},
   }