Anders Johan Andreassen
Anders Johan Andreassen
Verified email at google.com
Title
Cited by
Cited by
Year
Consistent use of the standard model effective potential
A Andreassen, W Frost, MD Schwartz
Physical review letters 113 (24), 241801, 2014
1082014
Scale-invariant instantons and the complete lifetime of the standard model
A Andreassen, W Frost, MD Schwartz
Physical Review D 97 (5), 056006, 2018
1062018
Consistent use of effective potentials
A Andreassen, W Frost, MD Schwartz
Physical Review D 91 (1), 016009, 2015
1002015
JUNIPR: a framework for unsupervised machine learning in particle physics
A Andreassen, I Feige, C Frye, MD Schwartz
The European Physical Journal C 79 (2), 1-24, 2019
882019
Precision decay rate calculations in quantum field theory
A Andreassen, D Farhi, W Frost, MD Schwartz
Physical Review D 95 (8), 085011, 2017
652017
Simulation assisted likelihood-free anomaly detection
A Andreassen, B Nachman, D Shih
Physical Review D 101 (9), 095004, 2020
512020
OmniFold: A method to simultaneously unfold all observables
A Andreassen, PT Komiske, EM Metodiev, B Nachman, J Thaler
Physical review letters 124 (18), 182001, 2020
402020
Neural networks for full phase-space reweighting and parameter tuning
A Andreassen, B Nachman
Physical Review D 101 (9), 091901, 2020
332020
Direct approach to quantum tunneling
A Andreassen, D Farhi, W Frost, MD Schwartz
Physical review letters 117 (23), 231601, 2016
332016
The LHC olympics 2020: a community challenge for anomaly detection in high energy physics
G Kasieczka, B Nachman, D Shih, O Amram, A Andreassen, ...
arXiv preprint arXiv:2101.08320, 2021
222021
Understanding the failure modes of out-of-distribution generalization
V Nagarajan, A Andreassen, B Neyshabur
arXiv preprint arXiv:2010.15775, 2020
182020
Reducing the top quark mass uncertainty with jet grooming
A Andreassen, MD Schwartz
Journal of High Energy Physics 2017 (10), 1-20, 2017
172017
binary junipr: An Interpretable Probabilistic Model for Discrimination
A Andreassen, I Feige, C Frye, MD Schwartz
Physical review letters 123 (18), 182001, 2019
132019
Asymptotics of wide convolutional neural networks
A Andreassen, E Dyer
arXiv preprint arXiv:2008.08675, 2020
92020
Gauge dependence of the quantum field theory effective potential
AJ Andreassen
Institutt for fysikk, 2013
82013
Parameter estimation using neural networks in the presence of detector effects
A Andreassen, SC Hsu, B Nachman, N Suaysom, A Suresh
Physical Review D 103 (3), 036001, 2021
52021
Neural networks for full phase-space reweighting and parameter tuning (2019)
A Andreassen, B Nachman
arXiv preprint arXiv:1907.08209, 1907
51907
The evolution of out-of-distribution robustness throughout fine-tuning
A Andreassen, Y Bahri, B Neyshabur, R Roelofs
arXiv preprint arXiv:2106.15831, 2021
32021
Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution
A Andreassen, PT Komiske, EM Metodiev, B Nachman, A Suresh, ...
arXiv preprint arXiv:2105.04448, 2021
12021
Precision tunneling rate calculations in quantum field theory and the ultimate fate of our universe
AJ Andreassen
PQDT-Global, 2018
12018
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