A Deep Neural Network for Simultaneous Estimation of b Jet Energy and Resolution | Computing and Software for Big Science
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A Deep Neural Network for Simultaneous Estimation of b Jet Energy and Resolution | Computing and Software for Big Science
Neural structure fields with application to crystal structure autoencoders | Communications Materials
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Fire | Free Full-Text | The Construction of Probabilistic Wildfire Risk Estimates for Individual Real Estate Parcels for the Contiguous United States
Fire | Free Full-Text | The Construction of Probabilistic Wildfire Risk Estimates for Individual Real Estate Parcels for the Contiguous United States
Measurement of the mass dependence of the transverse momentum of lepton pairs in Drell–Yan production in proton–proton collisions at $$\sqrt{s} = 13\,\text {Te\hspace{-.08em}V} $$ | The European Physical Journal C
Fire | Free Full-Text | The Construction of Probabilistic Wildfire Risk Estimates for Individual Real Estate Parcels for the Contiguous United States
Measurements of jet multiplicity and jet transverse momentum in multijet events in proton–proton collisions at $${\sqrt{s}=13\, \text {TeV}}$$ | The European Physical Journal C
Azimuthal correlations in Z +jets events in proton–proton collisions at $$\sqrt{s} = 13\,\text {Te}\hspace{-.08em}\text {V} $$ | The European Physical Journal C
Measurements of jet multiplicity and jet transverse momentum in multijet events in proton–proton collisions at $${\sqrt{s}=13\, \text {TeV}}$$ | The European Physical Journal C
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A Deep Neural Network for Simultaneous Estimation of b Jet Energy and Resolution | Computing and Software for Big Science
Fire | Free Full-Text | The Construction of Probabilistic Wildfire Risk Estimates for Individual Real Estate Parcels for the Contiguous United States
Neural structure fields with application to crystal structure autoencoders | Communications Materials
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Fire | Free Full-Text | The Construction of Probabilistic Wildfire Risk Estimates for Individual Real Estate Parcels for the Contiguous United States
Neural structure fields with application to crystal structure autoencoders | Communications Materials
