Thirty Years of Education and Research on Nuclear Many-Body Physics at the ECT*; from traditional Methods to Quantum Computing and Machine Learning

 

 

 

The plethora of machine learning algorithms/methods

  1. Deep learning: Neural Networks (NN), Convolutional NN, Recurrent NN, Boltzmann machines, autoencoders and variational autoencoders and generative adversarial networks
  2. Bayesian statistics and Bayesian Machine Learning, Bayesian experimental design, Bayesian Regression models, Bayesian neural networks, Gaussian processes and much more
  3. Dimensionality reduction (Principal component analysis), Clustering Methods and more
  4. Ensemble Methods, Random forests, bagging and voting methods, gradient boosting approaches
  5. Linear and logistic regression, Kernel methods, support vector machines and more
  6. Reinforcement Learning
  7. Generative models and more