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Diagnosability of stochastic discrete-event systems under unreliable observations., , and . ACC, page 1158-1165. IEEE, (2008)Model reduction of stochastic processes using Wasserstein pseudometrics., and . ACC, page 1374-1381. IEEE, (2008)A necessary and sufficient condition for diagnosability of stochastic discrete event systems.. Discrete Event Dynamic Systems, 27 (3): 481-500 (2017)Post-training Piecewise Linear Quantization for Deep Neural Networks., , , , , and . ECCV (2), volume 12347 of Lecture Notes in Computer Science, page 69-86. Springer, (2020)PROV-IO+: A Cross-Platform Provenance Framework for Scientific Data on HPC Systems., , , , , , , , , and 1 other author(s). CoRR, (2023)Learned Token Pruning for Transformers., , , , , and . CoRR, (2021)SaiT: Sparse Vision Transformers through Adaptive Token Pruning., , and . CoRR, (2022)Intrusion Detection in Controlled Discrete Event Systems., and . CDC, page 6047-6054. IEEE, (2006)Hidden Markov Models for non-well-mixed reaction networks., , and . ACC, page 737-744. IEEE, (2009)Diagnosability of stochastic chemical kinetic systems: a discrete event systems approach.. ACC, page 2623-2630. IEEE, (2010)