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Model Checking of Predicate Abstracted Programs without BDDs [1/2]
Compositional Model Checking with Incremental Counter-Example Construction Anton Wijs | CAV 2017
Model Checking: Analysis of three examples
19 Practical Software Model Checking via Dynamic Interface Reduction
Neural Networks And Spurious Correlations
Counterexample Guided Inference of Modular Specifications
Solving QBF by Counterexample-Guided Abstraction Refinement
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HSFM: Robust Image Classification under Spurious Correlations | ECCV 2026
Using Theorem Provers as Preprocessors for Hybrid Systems Model Checking
ICML-2022| Correct-N-Contrast:A Contrastive Approach for ImprovingRobustness to Spurious Correlation
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Last Updated: September 30, 2026
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Detecting Spurious Counterexamples Efficiently Talk in "Concurrency" session @ CAV 2017, Heidelberg Germany. sigops.org/sosp/sosp11/current/index.html Aditi Raghunathan (UC Berkeley) simons.berkeley.edu/talks/neural-networks-and- Bill Hallahan (Yale University) simons.berkeley.edu/talks/ Quantified Boolean formulas (QBFs), as a PSPACE-complete problem, represent a powerful formalism but also a computational ... Introduction to Analysing Repeated Measures Data Training session with Dr Helen Brown, Senior Statistician, at The Roslin ... This video presents HSFM (Hard-Set-Guided Feature-Space Meta-Learning), our approach for improving image classification ... slides at brillout.com/hybrid_systems/slides. This is Deep Learning Research Paper. A Paper Presentation in Conference. Paper Key Idea: use contrastive learning to ignore ...
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