Published in ICASSP, 2026
This paper introduces TensLoRA, a unified framework for tensor-based low-rank adaptations in Transformers.
Recommended citation: Marmoret, et al. (2025). "TensLoRA: Tensor Alternatives for Low-Rank Adaptation." In 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE.
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Published in NeurIPS, 2025
This paper presents REVE, a foundation model for EEG that generalizes across diverse setups using large-scale pretraining.
Recommended citation: El Ouahidi, et al. (2025). "REVE: A Foundation Model for EEG Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects." In Advances in Neural Information Processing Systems (NeurIPS 2025).
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Published in EUSIPCO, 2024
This paper tackles ambiguous few-shot image classification problems with unsupervised segmentation.
Recommended citation: Lys, et al. (2024). "FICUS: Few-shot Image Classification with Unsupervised Segmentation." In 2024 32nd European Signal Processing Conference (EUSIPCO)(pp. 1791-1795). IEEE.
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