Publication
Investigating Depth Domain Adaptation for Efficient Human Pose Estimation
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ELSEVIER SCI LTD2022Fidelity Estimation Improves Noisy-Image Classification with Pretrained Networks
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Image classification has significantly improved using deep learning. This is mainly due to convolutional neural networks (CNNs) that are capable of learning rich feature extractors from large datasets. However, most deep learning classification methods are ...
2021Deep Boltzmann Machines: Rigorous Results at Arbitrary Depth
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A class of deep Boltzmann machines is considered in the simplified framework of a quenched system with Gaussian noise and independent entries. The quenched pressure of a K-layers spin glass model is studied allowing interactions only among consecutive laye ...
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EPFL2020