S.M.M. (Sydney) Otten
Faculty of Science
ITF
Visiting address
- Science Park 904
Postal address
- Postbus 94485
1090 GL Amsterdam
Contact details
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Publications
2021
- Otten, S., Caron, S., de Swart, W., van Beekveld, M., Hendriks, L., van Leeuwen, C., Podareanu, D., Ruiz de Austri, R., & Verheyen, R. (2021). Event generation and statistical sampling for physics with deep generative models and a density information buffer. Nature Communications, 12(1), [2985]. https://doi.org/10.1038/s41467-021-22616-z
2020
Chianese, M., Coogan, A., Hofma, P., Otten, S., & Weniger, C. (2020). Differentiable strong lensing: Uniting gravity and neural nets through differentiable probabilistic programming. Monthly Notices of the Royal Astronomical Society, 496(1), 381-393. https://doi.org/10.1093/mnras/staa1477 [details]
2018
- Bertone, G., Bozorgnia, N., Kim, J. S., Liem, S., McCabe, C., Otten, S., & Ruiz de Austri, R. (2018). Identifying WIMP dark matter from particle and astroparticle data. Journal of Cosmology and Astroparticle Physics, 2018(3), [026]. https://doi.org/10.1088/1475-7516/2018/03/026 [details]
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Ancillary activities
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Radboud Universiteit Nijmegen
PhD studies
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Radboud Universiteit Nijmegen
Chianese, M., Coogan, A., Hofma, P., Otten, S., & Weniger, C. (2020). Differentiable strong lensing: Uniting gravity and neural nets through differentiable probabilistic programming. Monthly Notices of the Royal Astronomical Society, 496(1), 381-393.