Automated Detection Of Highly Aggregated Neurons In Microscopic Images Of Macaque Brain

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In this PhD manuscript, we explore optimisation phenomena which occur in complex neural networks through the lens of

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This dataset contains a collection of ultrafast ultrasound acquisitions from nine volunteers and the CIRS 054G phantom. For a comprehensive understanding of the dataset, please refer to the paper: Viñals, R.; Thiran, J.-P. A KL Divergence-Based Loss for In ...

Automated Detection Of Highly Aggregated Neurons In Microscopic Images Of Macaque Brain

Chattez avec Graph Search

Predicting the long-term collective behaviour of fish pairs with deep learning

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Safe Deep Neural Networks

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Understanding generalization and robustness in modern deep learning

Advancing Self-Supervised Deep Learning for 3D Scene Understanding

Incorporating Projective Geometry into Deep Learning

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

Resource-Efficient Continual Learning for Personalized Online Seizure Detection

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Inverse design of metal-organic frameworks for direct air capture of CO2via deep reinforcement learning

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

Topics in statistical physics of high-dimensional machine learning

Robust machine learning for neuroscientific inference

A multi-modal fitting approach to construct single-neuron models with patch clamp and high-density microelectrode arrays

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Random matrix methods for high-dimensional machine learning models

Residual-based attention in physics-informed neural networks

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A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (1/6)