564 citations · 1.2k across the 19 of their papers we have counts for
19 papers
Progress in two-loop electroweak corrections to gg -> HH and gg -> gH
Hantian Zhang
In these proceedings, we summarise our recent calculations of next-to-leading order electroweak corrections to Higgs boson pair and Higgs boson plus jet production. The calculation…
Next-to-leading order electroweak corrections to and in the large- limit
Joshua Davies, Kay Schönwald, Matthias Steinhauser +1
We compute two-loop electroweak corrections to Higgs boson pair and Higgs plus jet production, taking into account all sectors of the Standard Model. All diagrams with virtual top…
Chasing the two-Higgs doublet model in the di-Higgs production
Syuhei Iguro, Teppei Kitahara, Yuji Omura +1
We investigate the di-Higgs production at the Large Hadron Collider in the two-Higgs doublet model (2HDM). In particular, we study the production of an extra neutral Higgs boson $ϕ…
iFlipper: Label Flipping for Individual Fairness
Hantian Zhang, Ki Hyun Tae, Jaeyoung Park +2
As machine learning becomes prevalent, mitigating any unfairness present in the training data becomes critical. Among the various notions of fairness, this paper focuses on the wel…
Higgs boson contribution to the leading two-loop Yukawa corrections to
Joshua Davies, Go Mishima, Kay Schönwald +2
We analytically compute two-loop Yukawa corrections to Higgs boson pair production in the high-energy limit. Such corrections are generated by an exchange of a Higgs boson between…
Towards ruling out the charged Higgs interpretation of the anomaly
Monika Blanke, Syuhei Iguro, Hantian Zhang
Motivated by the notorious anomaly in the lepton flavor universality ratios , we study the sensitivity of the Large Hadron Collider (LHC) to a low-mass charged Higgs b…
Two-Loop Rational Terms for Spontaneously Broken Theories
Jean-Nicolas Lang, Stefano Pozzorini, Hantian Zhang +1
Rational counterterms are a key ingredient for the automation of loop calculations through numerical methods. Building on the recently established properties of rational terms of U…
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning
Hantian Zhang, Xu Chu, Abolfazl Asudeh +1
Machine learning (ML) is increasingly being used to make decisions in our society. ML models, however, can be unfair to certain demographic groups (e.g., African Americans or femal…
Two-Loop Rational Terms in Yang-Mills Theories
Jean-Nicolas Lang, Stefano Pozzorini, Hantian Zhang +1
Scattering amplitudes in dimensions involve particular terms that originate from the interplay of UV poles with the dimensional parts of loop numerators. Such contributio…
Rational terms in two-loop calculations
Stefano Pozzorini, Hantian Zhang, Max F. Zoller
We present an extension of the renormalisation procedure based on the R-operation in dimensions at two-loop level, in which the numerators of all Feynman diagrams can be constr…
Rational Terms of UV Origin at Two Loops
Stefano Pozzorini, Hantian Zhang, Max F. Zoller
The advent of efficient numerical algorithms for the construction of one-loop amplitudes has played a crucial role in the automation of NLO calculations, and the development of sim…
OpenLoops 2
Federico Buccioni, Jean-Nicolas Lang, Jonas M. Lindert +4
We present the new version of OpenLoops, an automated generator of tree and one-loop scattering amplitudes based on the open-loop recursion. One main novelty of OpenLoops 2 is the…
Proposal for the validation of Monte Carlo implementations of the standard model effective field theory
Gauthier Durieux, Ilaria Brivio, Fabio Maltoni +38
We propose a procedure to cross-validate Monte Carlo implementations of the standard model effective field theory. It is based on the numerical comparison of squared amplitudes com…
ALEX: An Updatable Adaptive Learned Index
Jialin Ding, Umar Farooq Minhas, Jia Yu +9
Recent work on "learned indexes" has changed the way we look at the decades-old field of DBMS indexing. The key idea is that indexes can be thought of as "models" that predict the…
Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning (Technical Report)
Zeke Wang, Kaan Kara, Hantian Zhang +3
Learning from the data stored in a database is an important function increasingly available in relational engines. Methods using lower precision input data are of special interest…
PSFGAN: a generative adversarial network system for separating quasar point sources and host galaxy light
Dominic Stark, Barthelemy Launet, Kevin Schawinski +7
The study of unobscured active galactic nuclei (AGN) and quasars depends on the reliable decomposition of the light from the AGN point source and the extended host galaxy light. Th…
Electroweak Higgs production with HiggsPO at NLO QCD
Admir Greljo, Gino Isidori, Jonas M. Lindert +2
We present the HiggsPO UFO model for Monte Carlo event generation of electroweak and VBF Higgs production processes at NLO in QCD in the formalism of Higgs pseudo-observables…
On-the-fly reduction of open loops
Federico Buccioni, Stefano Pozzorini, Max Zoller
Building on the open-loop algorithm we introduce a new method for the automated construction of one-loop amplitudes and their reduction to scalar integrals. The key idea is that th…
MLBench: How Good Are Machine Learning Clouds for Binary Classification Tasks on Structured Data?
Yu Liu, Hantian Zhang, Luyuan Zeng +2
We conduct an empirical study of machine learning functionalities provided by major cloud service providers, which we call machine learning clouds. Machine learning clouds hold the…