Luisa Lucie-Smith

According to our database, Luisa Lucie-Smith authored at least 6 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A robust estimator of mutual information for deep learning interpretability.

Davide Piras, Hiranya V. Peiris, Andrew Pontzen, Luisa Lucie-Smith, Ningyuan Guo, Brian Nord

Mach. Learn. Sci. Technol., June, 2023

Explaining dark matter halo density profiles with neural networks.

Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen

CoRR, 2023

2022

Insights into the origin of halo mass profiles from machine learning.

Luisa Lucie-Smith, Susmita Adhikari, Risa H. Wechsler

CoRR, 2022

Discovering the building blocks of dark matter halo density profiles with neural networks.

Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord, Jeyan Thiyagalingam, Davide Piras

CoRR, 2022

2020

Deep learning insights into cosmological structure formation.

Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord, Jeyan Thiyagalingam

CoRR, 2020

2019

Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era.

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

CoRR, 2019