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06/07/2023
MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY Estimation
We introduce MESSY estimation, a Maximum-Entropy based Stochastic and Sy...
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05/31/2022
GSR: A Generalized Symbolic Regression Approach
Identifying the mathematical relationships that best describe a dataset ...
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09/16/2021
Improving Regression Uncertainty Estimation Under Statistical Change
While deep neural networks are highly performant and successful in a wid...
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08/20/2021
D-DARTS: Distributed Differentiable Architecture Search
Differentiable ARchiTecture Search (DARTS) is one of the most trending N...
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10/26/2020
GAN Mask R-CNN:Instance semantic segmentation benefits from generativeadversarial networks
In designing instance segmentation ConvNets that reconstruct masks, segm...
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11/26/2019
Generalized Bayesian Regression and Model Learning
We propose a generalized Bayesian regression and model learning tool bas...
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08/29/2019
A General Model Validation and Testing Tool
We construct and propose the "Bayesian Validation Metric" (BVM) as a gen...
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08/29/2019
Vectorized Uncertainty Propagation and Input Probability Sensitivity Analysis
In this article we construct a theoretical and computational process for...
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08/02/2019
Why Simple Quadrature is just as good as Monte Carlo
We motive and calculate Newton-Cotes quadrature integration variance and...
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03/05/2018