GitHub

Optimal Transport Networks in Spatial Equilibrium - MATLAB Toolbox

MATLAB toolbox implementing the quantitative spatial economic model of: Fajgelbaum, P. D., & Schaal, E. (2020). Optimal transport networks in spatial equilibrium. Econometrica, 88(4), 1411-1452. The ...
IEEE

SPOT: An Active Learning Algorithm for Efficient Deep Neural Network Training

Abstract: Recent advancements in deep neural networks heavily rely on large-scale labeled datasets. However, acquiring annotations for large datasets can be challenging due to annotation constraints.
Scientific Research Publishing

Hubara, I., Courbariaux, M., Soudry, D., El-Yaniv, R. and Bengio, Y. (2017) Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations. The ...

ABSTRACT: Convolutional neural networks (CNNs) are widely used in image classification tasks, but their increasing model size and computation make them challenging to implement on embedded systems ...
IEEE

Reconfigurable Integrated Photonic Unitary Neural Networks With Phase Encoding Enabled by In-Situ Training

Abstract: Photonic neural networks are emerging as promising computing platforms for artificial intelligence (AI). Particularly, integrated photonic unitary neural networks (IPUNNs) are capable of ...