Generalisation error in learning with random features and the hidden manifold model*

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Oscillators have two main limitations: their synchronization properties are limited (i.e., they have a finite synchronization region) and they have no memory of past interactions (i.e., they return to their intrinsic frequency whenever the entraining signa ...

Generalisation error in learning with random features and the hidden manifold model*

Chattez avec Graph Search

On the role of artificial intelligence in feature oriented multi-criteria decision analysis

Hardware-Software co-design Methodologies for Edge AI Optimization

On the symmetries in the dynamics of wide two-layer neural networks

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Augmented Lagrangian Methods for Provable and Scalable Machine Learning

Label-free plasmonic microarray for multiplexed analysis of cells and tumor organoids

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Multi-fidelity regression using artificial neural networks: Efficient approximation of parameter-dependent output quantities

Perspectives in machine learning for wildlife conservation

Textual Explanations and Critiques in Recommendation Systems

Distributed neural network control with dependability guarantees: a compositional port-Hamiltonian approach

Population pharmacokinetic model selection assisted by machine learning

Streaming and Matching Problems with Submodular Functions

Robust design using multiobjective optimisation and artificial neural networks with application to a heat pump radial compressor

Subwavelength Acoustic Imaging in Far Field by Combining Metamaterials and Deep Learning

Generalization Comparison of Deep Neural Networks via Output Sensitivity

The physics of higher-order interactions in complex systems

A 16-Channel Wireless Neural Recording System-on-Chip with CHT Feature Extraction Processor in 65nm CMOS

Slow-fast Dynamics of Strongly Coupled Adaptive Frequency Oscillators