GALET: A deep learning image segmentation model for drone-based grain size analysis of gravel bars

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Modern neuroscience research is generating increasingly large datasets, from recording thousands of neurons over long timescales to behavioral recordings of animals spanning weeks, months, or even years. Despite a great variety in recording setups and expe ...

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Proprioception tells the brain the state of the body based on distributed sensors in the body. However, the principles that govern proprioceptive processing from those distributed sensors are poorly understood. Here, we employ a task-driven neural network ...

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GALET: A deep learning image segmentation model for drone-based grain size analysis of gravel bars

Chat with Graph Search

Robust machine learning for neuroscientific inference

Network time series forecasting in photovoltaics power production

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Residual-based attention in physics-informed neural networks

Machine Learning for Modeling Stock Returns

On the number of regions of piecewise linear neural networks

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

Optimizing Dynamic Aperture Studies with Active Learning

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

Learned Compressive Representations for Single-Photon 3D Imaging

Pedestrian 3D Bounding Box Prediction

MAGNETIC: Multi-Agent Machine Learning-Based Approach for Energy Efficient Dynamic Consolidation in Data Centers