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Trace norm regularization for multi-task learning with scarce data

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Trace norm regularization for multi-task learning with scarce data

Robust machine learning for neuroscientific inference

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Incorporating Projective Geometry into Deep Learning

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

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

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

Optimizing Dynamic Aperture Studies with Active Learning

Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE

Graph Chatbot

Robust machine learning for neuroscientific inference

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Incorporating Projective Geometry into Deep Learning

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

Coupling a recurrent neural network to SPAD TCSPC systems for real-time fluorescence lifetime imaging

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

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

Optimizing Dynamic Aperture Studies with Active Learning

Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE

Coupling a recurrent neural network to SPAD TCSPC systems for real-time fluorescence lifetime imaging