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10/25/2022
Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search
Evolutionary algorithms (EAs) have gained attention recently due to thei...
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04/03/2022
BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster
Most AI projects start with a Python notebook running on a single laptop...
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02/19/2022
Simple Genetic Operators are Universal Approximators of Probability Distributions (and other Advantages of Expressive Encodings)
This paper characterizes the inherent power of evolutionary algorithms. ...
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10/05/2020
Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model
As neural network classifiers are deployed in real-world applications, i...
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05/28/2020
From Prediction to Prescription: AI-Based Optimization of Non-Pharmaceutical Interventions for the COVID-19 Pandemic
Several models have been developed to predict how the COVID-19 pandemic ...
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02/13/2020
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription
There is now significant historical data available on decision making in...
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06/03/2019
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel
Neural Networks (NNs) have been extensively used for a wide spectrum of ...
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04/16/2018
BigDL: A Distributed Deep Learning Framework for Big Data
In this paper, we present BigDL, a distributed deep learning framework f...
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03/10/2018
