1 citations · 3 across the 3 of their papers we have counts for
4 papers
Certification cost of quantum models: measurement correlation, not parameter count
Pavel Sulimov, Claude Lehmann
Reporting the Fisher geometry of a trained variational quantum model is routine; quoting the shot budget that would establish it is not. Certifying an empirical Fisher matrix to re…
GenJoin: Conditional Generative Plan-to-Plan Query Optimizer that Learns from Subplan Hints
Pavel Sulimov, Claude Lehmann, Kurt Stockinger
Query optimization has become a research area where classical algorithms are being challenged by machine learning algorithms. At the same time, recent trends in learned query optim…
GraLMatch: Matching Groups of Entities with Graphs and Language Models
Fernando De Meer Pardo, Claude Lehmann, Dennis Gehrig +5
In this paper, we present an end-to-end multi-source Entity Matching problem, which we call entity group matching, where the goal is to assign to the same group, records originatin…
Is Your Learned Query Optimizer Behaving As You Expect? A Machine Learning Perspective
Claude Lehmann, Pavel Sulimov, Kurt Stockinger
The current boom of learned query optimizers (LQO) can be explained not only by the general continuous improvement of deep learning (DL) methods but also by the straightforward for…