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Léo Neufcourt
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Cited by
Year
Bayesian approach to model-based extrapolation of nuclear observables
L Neufcourt, Y Cao, W Nazarewicz, F Viens
Physical Review C 98, 034318, 2018
1752018
Neutron drip line in the Ca region from Bayesian model averaging
L Neufcourt, Y Cao, W Nazarewicz, E Olsen, F Viens
Physical Review Letters 122 (6), 062502, 2019
1422019
Direct comparison between Bayesian and frequentist uncertainty quantification for nuclear reactions
GB King, AE Lovell, L Neufcourt, FM Nunes
Physical Review Letters 122 (23), 232502, 2019
822019
Quantified limits of the nuclear landscape
L Neufcourt, Y Cao, SA Giuliani, W Nazarewicz, E Olsen, OB Tarasov
Physical Review C 101 (3), 044307, 2020
792020
Beyond the proton drip line: Bayesian analysis of proton-emitting nuclei
L Neufcourt, Y Cao, S Giuliani, W Nazarewicz, E Olsen, OB Tarasov
Physical Review C 101 (1), 014319, 2020
462020
Statistical aspects of nuclear mass models
V Kejzlar, L Neufcourt, W Nazarewicz, PG Reinhard
Journal of Physics G, 2020
422020
Generalized arbitrage-free SVI volatility surfaces
G Guo, A Jacquier, C Martini, L Neufcourt
SIAM Journal on Financial Mathematics 7 (1), 619-641, 2016
322016
Nurse-reported bullying and documented adverse patient events: an exploratory study in a US hospital
JE Arnetz, L Neufcourt, S Sudan, BB Arnetz, T Maiti, F Viens
Journal of nursing care quality 35 (3), 206-212, 2020
222020
Precision mass measurement of lightweight self-conjugate nucleus 80Zr
A Hamaker, E Leistenschneider, R Jain, G Bollen, SA Giuliani, K Lund, ...
Nature Physics 17 (12), 1408-1412, 2021
212021
A third-moment theorem and precise asymptotics for variations of stationary Gaussian sequences
L Neufcourt, F Viens
ALEA, Latin American Journal of Probability and Mathematical Statistics 13 …, 2016
142016
Reconstruction of Storage Ring's Linear Optics with Bayesian Inference
Y Hao, Y Li, M Balcewicz, L Neufcourt, W Cheng
arXiv preprint arXiv:1902.11157, 2019
92019
Expansion of a Filtration with a Stochastic Process A High-Frequency Trading Perspective
L Neufcourt
Columbia University, 2017
72017
Bayesian averaging of computer models with domain discrepancies: a nuclear physics perspective
V Kejzlar, L Neufcourt, T Maiti, F Viens
arXiv preprint arXiv:1904.04793, 2019
62019
Expansion of a filtration with a stochastic process: The information drift
L Neufcourt, P Protter
Numerical Algebra, Control and Optimization 13 (3&4), 714-742, 2023
4*2023
Local Bayesian Dirichlet mixing of imperfect models
V Kejzlar, L Neufcourt, W Nazarewicz
Scientific Reports 13 (1), 19600, 2023
12023
Neural Network Emulation of Spontaneous Fission
D Lay, E Flynn, SA Giuliani, W Nazarewicz, L Neufcourt
arXiv preprint arXiv:2310.01608, 2023
2023
Mass of self-conjugate nucleus 80Zr reveals a deformed double shell closure at N=Z=40
A Hamaker, E Leistenschneider, R Jain, G Bollen, SA Giuliani, K Lund, ...
APS Division of Nuclear Physics Meeting Abstracts 2021, LG. 002, 2021
2021
Quantified Nuclear Mass Model for Nuclear Astrophysics Simulations
R Jain, L Neufcourt, W Nazarewicz, S Giuliani
APS Division of Nuclear Physics Meeting Abstracts 2021, KD. 003, 2021
2021
Nuclear Fission with Neural Networks
D Lay, E Flynn, S Giuliani, L Neufcourt, W Nazarewicz
APS April Meeting Abstracts 2021, K13. 001, 2021
2021
Application of Bayesian Inference in Accelerator Commissioning of FRIB
Y Hao, L Neufcourt
10th International Particle Accelerator Conference (IPAC19), Melbourne …, 2019
2019
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Articles 1–20