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eess.AS2024★ 1 cited
Equivariance-based self-supervised learning for audio signal recovery from clipped measurements
Victor Sechaud, Laurent Jacques, Patrice Abry +1
In numerous inverse problems, state-of-the-art solving strategies involve training neural networks from ground truth and associated measurement datasets that, however, may be expen…
stat.ML2024★ 1 cited
UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate
Julián Tachella, Mike Davies, Laurent Jacques
Recently, many self-supervised learning methods for image reconstruction have been proposed that can learn from noisy data alone, bypassing the need for ground-truth references. Mo…