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Kyle Cranmer

Showing results (1-10 of 5) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|May 31, 2020
The frontier of simulation-based inferenceKyle Cranmer, Johann Brehmer, Gilles Louppe
Proceedings of the National Academy of Sciences of the United States of America|February 22, 2020
Mining gold from implicit models to improve likelihood-free inferenceJohann Brehmer, Gilles Louppe, Juan Pavez, et al.
Physical Review Letters|September 29, 2018
Constraining Effective Field Theories with Machine LearningJohann Brehmer, Kyle Cranmer, Gilles Louppe, et al.
Physical Review Letters|August 16, 2021
Deep Search for Decaying Dark Matter with XMM-Newton Blank-Sky ObservationsJoshua W Foster, Marius Kongsore, Christopher Dessert, et al.
Physical Review Letters|October 5, 2020
Equivariant Flow-Based Sampling for Lattice Gauge TheoryGurtej Kanwar, Michael S Albergo, Denis Boyda, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Proceedings of the National Academy of Sciences of the United States of America|May 31, 2020
The frontier of simulation-based inferenceKyle Cranmer, Johann Brehmer, Gilles Louppe
Proceedings of the National Academy of Sciences of the United States of America|February 22, 2020
Mining gold from implicit models to improve likelihood-free inferenceJohann Brehmer, Gilles Louppe, Juan Pavez, et al.
Physical Review Letters|September 29, 2018
Constraining Effective Field Theories with Machine LearningJohann Brehmer, Kyle Cranmer, Gilles Louppe, et al.
Physical Review Letters|August 16, 2021
Deep Search for Decaying Dark Matter with XMM-Newton Blank-Sky ObservationsJoshua W Foster, Marius Kongsore, Christopher Dessert, et al.
Physical Review Letters|October 5, 2020
Equivariant Flow-Based Sampling for Lattice Gauge TheoryGurtej Kanwar, Michael S Albergo, Denis Boyda, et al.
Pageof 1