Results 11 to 20 of about 5,062,277 (278)
Finite Variation of Fractional Lévy Processes [PDF]
Journal of Theoretical Probability, 2011 to appear in Journal of Theoretical ...
Bender, Christian +2 more
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Variation aware analysis of bridging fault testing [PDF]
, 2008 This paper investigates the impact of process variation on test quality with regard to resistive bridging faults. The input logic threshold voltage and gate drive strength parameters are analyzed regarding their process variation induced influence on ...
Al-Hashimi, Bashir M. +2 more
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Process Technology Variation [PDF]
IEEE Transactions on Electron Devices, 2011 Moore's law technology scaling has improved performance by five orders of magnitude in the last four decades. As advanced technologies continue the pursuit of Moore's law, a variety of challenges will need to be overcome. One of these challenges is the management of process variation.
Kelin J. Kuhn +8 more
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An Innovative Indicator to Evaluate DRAM Cell Transistor Leakage Current Distribution
IEEE Journal of the Electron Devices Society, 2018 This paper is the first to propose an innovative method for measuring variations in dynamic random access memory (DRAM) cell transistors. Structural dispersion induces an extremely high cell leakage current, which determines aspects of DRAM performance ...
Min Hee Cho +7 more
doaj +1 more source
Gibbs point process approximation: Total variation bounds using Stein's method [PDF]
, 2014 We obtain upper bounds for the total variation distance between the distributions of two Gibbs point processes in a very general setting. Applications are provided to various well-known processes and settings from spatial statistics and statistical ...
Schuhmacher, Dominic, Stucki, Kaspar
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RRAM variability and its mitigation schemes [PDF]
, 2016 Emerging technologies such as RRAMs are attracting significant attention due to their tempting characteristics such as high scalability, CMOS compatibility and non-volatility to replace the current conventional memories.
Amat, Esteve +3 more
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Variational Elliptical Processes
, 2023 We present elliptical processes, a family of non-parametric probabilistic models that subsume Gaussian processes and Student's t processes. This generalization includes a range of new heavy-tailed behaviors while retaining computational tractability. Elliptical processes are based on a representation of elliptical distributions as a continuous mixture ...
Bånkestad, Maria +3 more
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Variational Tobit Gaussian Process Regression
Statistics and Computing, 2023 AbstractWe propose a variational inference-based framework for training a Gaussian process regression model subject to censored observational data. Data censoring is a typical problem encountered during the data gathering procedure and requires specialized techniques to perform inference since the resulting probabilistic models are typically ...
Marno Basson +2 more
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STT-BSNN: An In-Memory Deep Binary Spiking Neural Network Based on STT-MRAM
IEEE Access, 2021 This paper proposes an in-memory binary spiking neural network (BSNN) based on spin-transfer-torque magnetoresistive RAM (STT-MRAM). We propose residual BSNN learning using a surrogate gradient that shortens the time steps in the BSNN while maintaining ...
Van-Tinh Nguyen +3 more
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Variational Quantum Simulation of General Processes [PDF]
Physical Review Letters, 2020 Variational quantum algorithms have been proposed to solve static and dynamic problems of closed many-body quantum systems. Here we investigate variational quantum simulation of three general types of tasks---generalised time evolution with a non-Hermitian Hamiltonian, linear algebra problems, and open quantum system dynamics.
Suguru Endo +4 more
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