Deep Gaussian denoiser epistemic uncertainty and decoupled dual-attention fusion

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Deep Gaussian denoiser epistemic uncertainty and decoupled dual-attention fusion

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Fixed point geometry in chaotic neural networks

ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference

Understanding generalization and robustness in modern deep learning

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Random matrix methods for high-dimensional machine learning models

Model uncertainties in action effects and load bearing capacity calculation in statically indeterminate reinforced concrete structures

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Text-to-Microstructure Generation Using Generative Deep Learning

Design of an Open-Loop Pile-Oscillation Program in the CROCUS Reactor

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs

GEMTELLIGENCE: Accelerating gemstone classification with deep learning

Mapping drivers of tropical forest loss with satellite image time series and machine learning

The multimodality cell segmentation challenge: toward universal solutions

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

Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning