Ensemble Distillation for Robust Model Fusion in Federated Learning

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Ensemble Distillation for Robust Model Fusion in Federated Learning

Chattez avec Graph Search

High-dimensional learning of narrow neural networks

OPTIMAL TRANSPORT-INSPIRED DEEP LEARNING FRAMEWORK FOR SLOW-DECAYING KOLMOGOROV \bfitn-WIDTH PROBLEMS: EXPLOITING SINKHORN LOSS AND WASSERSTEIN KERNEL

Exploiting XAI Maps to Improve MS Lesion Segmentation and Detection in MRI

Gradient Approximation of Approximate Multipliers for High-Accuracy Deep Neural Network Retraining

ConGeo: Robust Cross-View Geo-Localization Across Ground View Variations

Wigner kernels: Body-ordered equivariant machine learning without a basis

Predicting electronic screening for fast Koopmans spectral functional calculations

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

Long plasma duration operation analyses with an international multi-machine (tokamaks and stellarators) database

Topics in statistical physics of high-dimensional machine learning

Robust machine learning for neuroscientific inference

On the Generalization of Stochastic Gradient Descent with Momentum

Meta-learning to address diverse Earth observation problems across resolutions

The effect of plasma shaping on high density H-mode SOL profiles and fluctuations in TCV

Experimental study and interpretative modelling of the Power Exhaust in Configurations with Multiple X-Points in TCV

Federated learning with uncertainty-based client clustering for fleet-wide fault diagnosis

Random matrix methods for high-dimensional machine learning models

Overview of fast particle experiments in the first MAST Upgrade experimental campaigns

Global fluid simulations of plasma turbulence in stellarators

Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life