Chae-Yeun Park, Tiago Mendes Santos, Daniel Alcalde Puente, Hongyu Lu, Frederik Wilde, Zala Lenarčič

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This is the contributed session of the CRC 183 Summer School "Machine Learning in Condensed Matter Physics"

We will have the following short talks:

Geometry of learning neural quantum states
Chae-Yeun Park (University of Cologne)

Unsupervised Learning Universal Critical Behavior via the Intrinsic Dimension
Tiago Mendes Santos (MPI PKS)

Convolutional restricted Boltzmann machine aided Monte Carlo: An application to Ising and Kitaev models
Daniel Alcalde Puente (Forschungszentrum Jülich)

AI-assisted quantum many-body computation beyond Markov-chain Monte Carlo
Hongyu Lu (University of Hong Kong)

Learning Many-body Hamiltonians from Dynamical Data
Frederik Wilde (FU Berlin)

From observations to complexity of quantum states: an unsupervised learning approach
Zala Lenarčič (Jožef Stefan Institute)

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Zoom
Contact: Markus Schmitt