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07/21/2023
Learning minimal representations of stochastic processes with variational autoencoders
Stochastic processes have found numerous applications in science, as the...
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01/02/2023
Preface: Characterisation of Physical Processes from Anomalous Diffusion Data
Preface to the special issue "Characterisation of Physical Processes fro...
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08/07/2021
Unsupervised learning of anomalous diffusion data
The characterization of diffusion processes is a keystone in our underst...
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11/16/2020
Resource theory of heat and work with non-commuting charges: yet another new foundation of thermodynamics
We consider a theory of quantum thermodynamics with multiple conserved q...
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10/03/2019
Efficient training of energy-based models via spin-glass control
We present an efficient method for unsupervised learning using Boltzmann...
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07/24/2019
Quantum Compressed Sensing with Unsupervised Tensor Network Machine Learning
We propose tensor-network compressed sensing (TNCS) for compressing and ...
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03/07/2019
Machine learning method for single trajectory characterization
In order to study transport in complex environments, it is extremely imp...
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03/24/2018
Learning architectures based on quantum entanglement: a simple matrix product state algorithm for image recognition
It is a fundamental, but still elusive question whether methods based on...
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10/13/2017
