Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states

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Enhancing wearable sensor data analysis for patient health monitoring using allied data disparity technique and multi instance ensemble perceptron learning

Zaffar Ahmed Shaikh

Wearable Sensor (WS)-based monitoring systems detect minute patient movements/ demands and abnormalities through periodic sensing and imaging. Sensor data observed over different intervals is not constant or available based on operating sequences. Due to v ...

Springer Science and Business Media LLC2025

Les Houches lectures on deep learning at large and infinite width

Vittorio Erba, Christian Keup

These lectures, presented at the 2022 Les Houches Summer School on Statistical Physics and Machine Learning, focus on the infinite-width limit and large-width regime of deep neural networks. Topics covered include the various statistical and dynamical prop ...

2024

Artificial intelligence and visual analytics in geographical space and cyberspace: Research opportunities and challenges

Stéphane Joost, François Golay

In recent decades, we have witnessed great advances on the Internet of Things, mobile devices, sensor-based systems, and resulting big data infrastructures, which have gradually, yet fundamentally influenced the way people interact with and in the digital ...

ELSEVIER2023

Large deviations of semisupervised learning in the stochastic block model

Lenka Zdeborová, Hugo Chao Cui, Luca Saglietti

In semisupervised community detection, the membership of a set of revealed nodes is known in addition to the graph structure and can be leveraged to achieve better inference accuracies. While previous works investigated the case where the revealed nodes ar ...

AMER PHYSICAL SOC2022