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A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (2/6)

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A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (2/6)

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Incorporating Projective Geometry into Deep Learning

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification

Efficient Temporally-Aware DeepFake Detection using H.264 Motion Vectors

Network time series forecasting in photovoltaics power production

Towards Trustworthy Deep Learning for Image Reconstruction

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange

Random matrix methods for high-dimensional machine learning models

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