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10/12/2021
Fast Block Linear System Solver Using Q-Learning Schduling for Unified Dynamic Power System Simulations
We present a fast block direct solver for the unified dynamic simulation...
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09/30/2021
Learning the Markov Decision Process in the Sparse Gaussian Elimination
We propose a learning-based approach for the sparse Gaussian Elimination...
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07/12/2021
The Brownian motion in the transformer model
Transformer is the state of the art model for many language and visual t...
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01/01/2021
An iterative K-FAC algorithm for Deep Learning
Kronecker-factored Approximate Curvature (K-FAC) method is a high effici...
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10/27/2020
A short note on the decision tree based neural turing machine
Turing machine and decision tree have developed independently for a long...
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10/02/2020
Attention augmented differentiable forest for tabular data
Differentiable forest is an ensemble of decision trees with full differe...
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04/07/2020
Learning Unsplit-field-based PML for the FDTD Method by Deep Differentiable Forest
Alternative unsplit-filed-based absorbing boundary condition (ABC) compu...
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02/29/2020
Deep differentiable forest with sparse attention for the tabular data
We present a general architecture of deep differentiable forest and its ...
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01/26/2020
LiteMORT: A memory efficient gradient boosting tree system on adaptive compact distributions
Gradient boosted decision trees (GBDT) is the leading algorithm for many...
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01/06/2020
Express Wavenet – a low parameter optical neural network with random shift wavelet pattern
Express Wavenet is an improved optical diffractive neural network. At ea...
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12/23/2019
An optical diffractive deep neural network with multiple frequency-channels
Diffractive deep neural network (DNNet) is a novel machine learning fram...
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12/07/2019
