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MUSTARD: a coupled, stochastic/deterministic, discrete/continuous technique for predicting the impact of random telegraph noise on SRAMs and DRAMs.

, , , and . DAC, page 292-297. ACM, (2011)

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Tools and Methodology for RF IC Design., , , , , , and . DAC, page 414-420. ACM Press, (1998)Simulation of temporal stochastic phenomena in electronic and biological systems: a comparative review, examples and synergies., and . ICCAD, page 811-818. IEEE, (2013)Noise in Neuronal and Electronic Circuits: A General Modeling Framework and Non-Monte Carlo Simulation Techniques., and . IEEE Trans. Biomed. Circuits Syst., 11 (4): 958-974 (2017)Generating Effective Initiation Sets for Subgoal-Driven options., , and . Adv. Complex Syst., 22 (2): 1950001:1-1950001:32 (2019)Resonance frequency tracking schemes for micro- and nanomechanical resonators., , , , and . CoRR, (2023)Landmark based guidance for reinforcement learning agents under partial observability., , and . Int. J. Mach. Learn. Cybern., 14 (4): 1543-1563 (April 2023)Numerical Analysis of Multidomain Systems: Coupled Nonlinear PDEs and DAEs With Noise., and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 37 (7): 1445-1458 (2018)A Concept Filtering Approach for Diverse Density to Discover Subgoals in Reinforcement Learning., , and . ICTAI, page 1-5. IEEE Computer Society, (2017)Local Roots: A Tree-Based Subgoal Discovery Method to Accelerate Reinforcement Learning., , and . ECML/PKDD (2), volume 9852 of Lecture Notes in Computer Science, page 361-376. Springer, (2016)Computing quadratic approximations for the isochrons of oscillators: A general theory and advanced numerical methods., and . ICCAD, page 397-402. ACM, (2009)