https://easychair.org/publications/paper/zXQs
Nitpick: A Counterexample Generator for Isabelle/HOL Based on the Relational Model Finder Kodkod
https://www.sciencing.com/what-is-a-counterexample-in-algebra-12750822/
What Is A Counterexample In Algebra?
Mar 24, 2022 - What Is a Counterexample in Algebra?
what iscounterexamplealgebra
https://deepai.org/publication/counterexample-guided-prophecy-for-model-checking-modulo-the-theory-of-arrays
Counterexample-Guided Prophecy for Model Checking Modulo the Theory of Arrays | DeepAI
Jan 18, 2021 - 01/18/21 - We develop a framework for model checking infinite-state systems by automatically augmenting them with auxiliary variables, enabli...
model checking
https://www.lesswrong.com/w/99ldt-x-1cdt-oneshot-pd-tournament-as-arguable/history
99LDT x 1CDT oneshot PD tournament as arguable counterexample to LDT doing better than CDT -...
One of the arguments supporting Logical decision theories over Causal_dt is the assertion that LDT handles a strictly wider problem class and therefore...
https://arxiv.org/abs/2106.01527
[2106.01527] A counterexample to the HK-conjecture that is principal
Abstract page for arXiv paper 2106.01527: A counterexample to the HK-conjecture that is principal
to the210601527counterexample
https://openreview.net/forum?id=bayZPpw9lM
Counterexample Guided RL Policy Refinement Using Bayesian Optimization | OpenReview
A methodology to discover counter-examples from a trained RL policy and revise the policy to a safer new policy not having the counter-examples.
bayesian optimizationcounterexampleguidedrlpolicy
https://arxiv.org/abs/1711.07834
[1711.07834] A counterexample related to the regularity of the $p$-Stokes problem
Abstract page for arXiv paper 1711.07834: A counterexample related to the regularity of the $p$-Stokes problem
to the
https://openreview.net/forum?id=z3hnQh5UJd
A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks | OpenReview
Counterexample-guided repair aims at creating neural networks with mathematical safety guarantees, facilitating the application of neural networks in...
robust optimisation