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Neural Networks, Secure by Construction - An Exploration of Refinement Types., , , , и . APLAS, том 12470 из Lecture Notes in Computer Science, стр. 67-85. Springer, (2020)From parametricity to conservation laws, via Noether's theorem.. POPL, стр. 491-502. ACM, (2014)Parameterised Notions of Computation.. MSFP@MPC, BCS, (2006)A lambda-Calculus for Resource Separation.. ICALP, том 3142 из Lecture Notes in Computer Science, стр. 158-170. Springer, (2004)The Vehicle Tutorial: Neural Network Verification with Vehicle., , , , , , , , и . FoMLAS@CAV, том 16 из Kalpa Publications in Computing, стр. 1-5. EasyChair, (2023)Syntax and Semantics of Quantitative Type Theory.. LICS, стр. 56-65. ACM, (2018)When Is a Type Refinement an Inductive Type?, , и . FoSSaCS, том 6604 из Lecture Notes in Computer Science, стр. 72-87. Springer, (2011)Fibrational Induction Meets Effects., , , и . FoSSaCS, том 7213 из Lecture Notes in Computer Science, стр. 42-57. Springer, (2012)A relationally parametric model of dependent type theory., , и . POPL, стр. 503-516. ACM, (2014)Amortised Resource Analysis with Separation Logic.. ESOP, том 6012 из Lecture Notes in Computer Science, стр. 85-103. Springer, (2010)