Publications associées à Privacy-preserving federated neural network learning for disease-associated cell classification

Publications associées (23)

A Compressor Off-Line Washing Schedule Optimization Method With a LSTM Deep Learning Model Predicting the Fouling Trend

Compressor fouling is one of the most prevalent fault modes that contribute to the performance degradation of a gas turbine power plant. Off-line washing is a standard maintenance procedure to recover the fouling degradation, but with washing cost. In this ...

2022

Learning Electron Densities in the Condensed Phase

Michele Ceriotti, Andrea Grisafi

We introduce a local machine-learning method for predicting the electron densities of periodic systems. The framework is based on a numerical, atom-centered auxiliary basis, which enables an accurate expansion of the all-electron density in a form suitable ...

AMER CHEMICAL SOC2021

Tensor Methods in Computer Vision and Deep Learning

Grigorios Chrysos

Tensors, or multidimensional arrays, are data structures that can naturally represent visual data of multiple dimensions. Inherently able to efficiently capture structured, latent semantic spaces and high-order interactions, tensors have a long history of ...

2021