Florian Marquardt

Physics and Machine Learning

(Theoretical physicist at the Max Planck Institute for the Science of Light and the University of Erlangen-Nürnberg, Germany)


Fully Nonlinear Neuromorphic Computing using Linear Optics
Fully Nonlinear Neuromorphic Computing using Linear Optics
Animation: Graph Neural Network predicting Quantum Ground States
Animation: Graph Neural Network predicting Quantum Ground States
Animation: Variational Autoencoder
Animation: Variational Autoencoder
Animation: Generative Adversarial Network
Animation: Generative Adversarial Network
Animation: Normalizing Flow (Invertible Neural Network)
Animation: Normalizing Flow (Invertible Neural Network)
Machine Learning for Physicists (Lecture 10): Applications in Science
Machine Learning for Physicists (Lecture 10): Applications in Science
Machine Learning for Physicists (Lecture 9): Boltzmann machines
Machine Learning for Physicists (Lecture 9): Boltzmann machines
Machine Learning for Physicists (Lecture 8): Deep Reinforcement Learning
Machine Learning for Physicists (Lecture 8): Deep Reinforcement Learning
Lecture 7: Reinforcement Learning: Policy Gradient, Baseline, Simple Examples
Lecture 7: Reinforcement Learning: Policy Gradient, Baseline, Simple Examples
Lecture 6: Recurrent Neural Networks (LSTM), Word Vectors, Introduction to Reinforcement Learning
Lecture 6: Recurrent Neural Networks (LSTM), Word Vectors, Introduction to Reinforcement Learning
Machine Learning for Physicists (Lecture 5): Principal Component Analysis, t-SNE, Adam etc., ...
Machine Learning for Physicists (Lecture 5): Principal Component Analysis, t-SNE, Adam etc., ...
Machine Learning for Physicists (Lecture 4): Convolutional Neural Networks, Autoencoders, PCA
Machine Learning for Physicists (Lecture 4): Convolutional Neural Networks, Autoencoders, PCA
Machine Learning for Physicists (Lecture 3): Training networks, Keras, Image recognition
Machine Learning for Physicists (Lecture 3): Training networks, Keras, Image recognition
Machine Learning for Physicists (Lecture 2)
Machine Learning for Physicists (Lecture 2)
Machine Learning for Physicists (Lecture 1)
Machine Learning for Physicists (Lecture 1)
Künstliche Intelligenz und Physik
Künstliche Intelligenz und Physik
Talk: Discovering feedback strategies for open quantum systems via deep reinforcement learning
Talk: Discovering feedback strategies for open quantum systems via deep reinforcement learning