Luisa Lucie-Smith

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 7

Top Topics

Deformable Surface

Statistical Model

Top Venues

Mach. Learn. Sci. Technol.

Publications

Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen
Explaining dark matter halo density profiles with neural networks. CoRR (2023)
Davide Piras, Hiranya V. Peiris, Andrew Pontzen, Luisa Lucie-Smith, Ningyuan Guo, Brian Nord
A robust estimator of mutual information for deep learning interpretability. Mach. Learn. Sci. Technol. 4 (2) (2023)
Luisa Lucie-Smith, Susmita Adhikari, Risa H. Wechsler
Insights into the origin of halo mass profiles from machine learning. CoRR (2022)
Davide Piras, Hiranya V. Peiris, Andrew Pontzen, Luisa Lucie-Smith, Ningyuan Guo, Brian Nord
A robust estimator of mutual information for deep learning interpretability. CoRR (2022)
Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord, Jeyan Thiyagalingam, Davide Piras
Discovering the building blocks of dark matter halo density profiles with neural networks. CoRR (2022)
Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord, Jeyan Thiyagalingam
Deep learning insights into cosmological structure formation. CoRR (2020)
Brian Nord, Andrew J. Connolly, Jamie Kinney, Jeremy Kubica, Gautaum Narayan, Joshua E. G. Peek, Chad Schafer, Erik J. Tollerud, Camille Avestruz, Gutti Jogesh Babu, Simon Birrer, Douglas Burke, João Caldeira, Douglas A. Caldwell, Joleen K. Carlberg, Yen-Chi Chen, Chuanfei Dong, Eric D. Feigelson, V. Zach Golkhou, Vinay Kashyap, T. S. Li, Thomas Loredo, Luisa Lucie-Smith, Kaisey S. Mandel, J. R. Martínez-Galarza, Adam A. Miller, Priyamvada Natarajan, Michelle Ntampaka, Andy Ptak, David Rapetti, Lior Shamir, Aneta Siemiginowska, Brigitta M. Sipocz, Arfon M. Smith, Nhan Tran, Ricardo Vilalta, Lucianne M. Walkowicz, John ZuHone
Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era. CoRR (2019)