23 citations · 53 across the 7 of their papers we have counts for
12 papers
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…
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…