41 citations · 55 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 8 cited
Data Debugging with Shapley Importance over End-to-End Machine Learning Pipelines
Bojan Karlaš, David Dao, Matteo Interlandi +4
Developing modern machine learning (ML) applications is data-centric, of which one fundamental challenge is to understand the influence of data quality to ML training -- "Which tra…
quant-ph2021★ 6 cited
Toward Reliability in the NISQ Era: Robust Interval Guarantee for Quantum Measurements on Approximate States
Maurice Weber, Abhinav Anand, Alba Cervera-Lierta +6
Near-term quantum computation holds potential across multiple application domains. However, imperfect preparation and evolution of states due to algorithmic and experimental shortc…
quant-ph2020★ 41 cited
Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing
Maurice Weber, Nana Liu, Bo Li +2
Quantum machine learning models have the potential to offer speedups and better predictive accuracy compared to their classical counterparts. However, these quantum algorithms, lik…