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DepthInSpace: Exploitation and Fusion of Multiple Video Frames for Structured-Light Depth Estimation

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Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Distributed learning is the key for enabling training of modern large-scale machine learning models, through parallelising the learning process. Collaborative learning is essential for learning from privacy-sensitive data that is distributed across various ...

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Epilepsy, a major neurological disease, requires careful diagnosis and treatment. However, the detection of epileptic seizures remains a significant challenge. Current clinical practice relies on expert analysis of EEG signals, a process that is time-consu ...

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Topics in statistical physics of high-dimensional machine learning

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Given a sequence of functions

f_1,\ldots,f_n

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f_i:\mathcal{D}\mapsto \mathbb{R}

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Random matrix methods for high-dimensional machine learning models

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f_1,\ldots,f_n

with

f_i:\mathcal{D}\mapsto \mathbb{R}

, finite-sum minimization seeks a point

{x}^\star \in \mathcal{D}

minimizing

\sum_{j=1}^nf_j(x)/n

. In this work, we propose a key twist into the finite-sum minimizat ...

2024

Random matrix methods for high-dimensional machine learning models

Antoine Philippe Michel Bodin

EPFL2024

Learning Informative Health Indicators Through Unsupervised Contrastive Learning

Olga Fink

Ieee-Inst Electrical Electronics Engineers Inc2024