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Learning to superoptimize programs., , , , and . ICLR (Poster), OpenReview.net, (2017)Provably Correct Physics-Informed Neural Networks., , , , , and . CoRR, (2023)Scaling the Convex Barrier with Active Sets., , , , and . ICLR, OpenReview.net, (2021)A Unified View of Piecewise Linear Neural Network Verification., , , , and . NeurIPS, page 4795-4804. (2018)Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming., , , , , , , , , and 1 other author(s). NeurIPS, (2020)DRIP: Domain Refinement Iteration With Polytopes for Backward Reachability Analysis of Neural Feedback Loops., , and . IEEE Control. Syst. Lett., (2023)Verification of Non-Linear Specifications for Neural Networks., , , , , , , , and . ICLR (Poster), OpenReview.net, (2019)IBP Regularization for Verified Adversarial Robustness via Branch-and-Bound., , , , and . CoRR, (2022)Faithful Knowledge Distillation., , , , , and . CoRR, (2023)Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications., , , , , and . CVPR, page 12260-12269. Computer Vision Foundation / IEEE, (2019)