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Marcel Nonnenmacher
Marcel Nonnenmacher
Verified email at ucl.ac.uk
Title
Cited by
Cited by
Year
Automatic posterior transformation for likelihood-free inference
D Greenberg, M Nonnenmacher, J Macke
International Conference on Machine Learning, 2404-2414, 2019
2662019
Flexible statistical inference for mechanistic models of neural dynamics
JM Lueckmann, PJ Goncalves, G Bassetto, K Öcal, M Nonnenmacher, ...
Advances in Neural Information Processing Systems, 1289-1299, 2017
2242017
Training deep neural density estimators to identify mechanistic models of neural dynamics
PJ Gonçalves, JM Lueckmann, M Deistler, M Nonnenmacher, K Öcal, ...
Elife 9, e56261, 2020
1782020
Signatures of criticality arise from random subsampling in simple population models
M Nonnenmacher, C Behrens, P Berens, M Bethge, JH Macke
PLoS Computational Biology 13 (10), e1005718, 2017
42*2017
Deep Emulators for Differentiation, Forecasting and Parametrization in Earth Science Simulators
M Nonnenmacher, DS Greenberg
Journal of Advances in Modeling Earth Systems 13 (7), e2021MS002554, 2021
262021
Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations
M Nonnenmacher, SC Turaga, JH Macke
Advances in Neural Information Processing Systems, 5706-5716, 2017
222017
Statistical Seasonal Prediction of European Summer Mean Temperature Using Observational, Reanalysis, and Satellite Data
M Pyrina, M Nonnenmacher, S Wagner, E Zorita
Weather and Forecasting 36 (4), 1537-1560, 2021
52021
Robust statistical inference for simulation-based models in neuroscience
M Nonnenmacher, PJ Goncalves, G Bassetto, JM Lueckmann, JH Macke
Bernstein Conference 2018, Berlin, Germany, 2018
22018
Learning Implicit PDE Integration with Linear Implicit Layers
M Nonnenmacher, DS Greenberg
The Symbiosis of Deep Learning and Differential Equations, 2021
12021
A solution for the mean parametrization of the von Mises-Fisher distribution
M Nonnenmacher, M Sahani
arXiv preprint arXiv:2404.07358, 2024
2024
Adaptively learned calibration kernels for stable importance sampling in regression ABC
M Nonnenmacher, K Oecal, JH Macke
ISBA 2018 Workshop'ABC in Edinburgh', 2018, Edinburgh, UK, 2018
2018
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Articles 1–11