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Teaser image to Active learning-assisted neutron spectroscopy with log-Gaussian processes

Colloquium

Active Learning-Assisted Neutron Spectroscopy With Log-Gaussian Processes

Mario Teixeira Parente, Department of Statistics, LMU Munich

   08.11.2023

   4:15 pm - 5:45 pm

   LMU Department of Statistics and via zoom

Active learning at three-axes spectrometers (TAS) optimizes beam time by choosing informative measurement locations while considering instrument costs. The presentation introduces a method, based on Gaussian Process Regression and log-normal distributions, discovering signal regions efficiently.


Related

Link to Causal Inference Based on Machine Learning for Complex Longitudinal Exposures

Colloquium  •  12.11.2025  •  LMU Department of Statistics and via zoom

Causal Inference Based on Machine Learning for Complex Longitudinal Exposures

12.11.25, 4:15-5:45 pm: Iván Diaz and Herb Sussman from the New York University.


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