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Kirschner, J.; Mutný, M.; Krause, A.; Portugal, J. C. d.; Hiller, N.; Snuverink, J. "Tuning Particle Accelerators with Safety Constraints using Bayesian Optimization" Physical Review Accelerators and Beams 25 6 62802 2022 View publication
Journal Article
Martinez-De La Torre, A.; Perez-Cruz, F.; Weiler, S.; Burden, A. M. "Comorbidity clusters associated with newly treated type 2 diabetes mellitus: a Bayesian nonparametric analysis" Scientific Reports 12 1 20653 2022 View publication
Journal Article
Zhang, M. M.; Williamson, S. A.; Pérez-Cruz, F. "Accelerated parallel non-conjugate sampling for Bayesian non-parametric models" Statistics and Computing 32 3 50 2022 View publication
Journal Article
De Fondeville, R.; Davison, A. C. "Functional Peaks-Over-Threshold Analysis" Journal of the Royal Statistical Society Series B: Statistical Methodology 84 4 1392-1422 2022 View publication
Journal Article
Harris, E.; Yu, L.; Wang, Y.; Mohn, J.; Henne, S.; Bai, E.; Barthel, M.; Bauters, M.; Boeckx, P.; Dorich, C.; et al. "Warming and redistribution of nitrogen inputs drive an increase in terrestrial nitrous oxide emission factor" Nature Communications 13 1 4310 2022 View publication
Journal Article
Molkenthin, C.; Donner, C.; Reich, S.; Zöller, G.; Hainzl, S.; Holschneider, M.; Opper, M. "GP-ETAS: semiparametric Bayesian inference for the spatio-temporal epidemic type aftershock sequence model" Statistics and Computing 32 2 29 2022 View publication
Journal Article
Dedoncker, S.; Donner, C.; Taenzer, L.; Van Damme, B. "Optimization of Resonant Absorbers for Passive Vibration Control: A Numerical Approach and Its Experimental Validation" SSRN Electronic Journal 2022 View publication
Journal Article
Haefeli, K. K.; Martinkus, K.; Perraudin, N.; Wattenhofer, R. "Diffusion Models for Graphs Benefit From Discrete State Spaces" The First Learning on Graphs Conference 2022 View publication
Conference Paper
Chaudhary, P.; Leitão, J. P.; Donauer, T.; D’Aronco, S.; Perraudin, N.; Obozinski, G.; Perez-Cruz, F.; Schindler, K.; Wegner, J. D.; Russo, S. "Flood Uncertainty Estimation Using Deep Ensembles" Water 14 19 2980 2022 View publication
Journal Article
Teurtrie, A.; Perraudin, N.; Holvoet, T.; Chen, H.; Alexander, D. T. L.; Obozinski, G.; Hébert, C. "Physics-Guided Machine Learning for the Analysis of Low SNR STEM-EDXS Data" Microscopy and Microanalysis 28 S1 2978-2979 2022 View publication
Journal Article
Martinkus, K.; Loukas, A.; Perraudin, N.; Wattenhofer, R. "SPECTRE : Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators" International Conference on Machine Learning 2022 View publication
Conference Paper
Cramer, E. Y.; Huang, Y.; Wang, Y.; Ray, E. L.; Cornell, M.; Bracher, J.; Brennen, A.; Rivadeneira, A. J. C.; Gerding, A.; House, K.; et al. "The United States COVID-19 Forecast Hub dataset" Scientific Data 9 1 462 2022 View publication
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