Paper

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Paper

• https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0253217
  • Time series
  • Forcasting

Related

• 3

• 作業要求: #3

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Tutorial for Image Classification with Bayesian Neural Network

• Tensorflow
• https://towardsdatascience.com/creating-image-classification-model-with-bayesian-perspective-a90a5956b14e

intro to bayes nn: https://www.cs.toronto.edu/~duvenaud/distill_bayes_net/public/

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Symbolic regression

https://royalsocietypublishing.org/doi/10.1098/rsos.211823#d1e5273

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idea

1. Use ARIMA + Neural Netowrk with Bayesian method
2. Use automatic differential equation with delay DE and bayesian neural network

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ARIMA + Neural Network

A_hybrid_statistical_approach_for_stock_market_forecasting_based_on_Artificial_Neural_Network_and_ARIMA_time_series_models.pdf

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Paper database https://github.com/js05212/BayesianDeepLearning-Survey/blob/master/README.md

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Classification with BNN: http://proceedings.mlr.press/v119/joo20a/joo20a.pdf

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Concept about BNN (Tutorial): https://www.youtube.com/watch?v=1el3MDf0MC0 more about BNN: https://www.cs.cmu.edu/afs/cs/academic/class/15782-f06/slides/bayesian.pdf Example of training a Bayesian neural network (Julia): https://turing.ml/dev/tutorials/03-bayesian-neural-network/

from https://www.inference.org.uk/mackay/thesis.pdf

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Dynamical system

• Taken's theorem (explained): https://www.youtube.com/watch?v=6i57udsPKms

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Integrating ARIMA and neural network: https://dl.acm.org/doi/pdf/10.3233/978-1-61499-672-9-1783

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Tutorial: Hierachical Bayesian Neural Network: https://twiecki.io/blog/2018/08/13/hierarchical_bayesian_neural_network/