Search Results - AUTOMATIC DIFFERENTIATION
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Inverse Hamiltonian design by automatic differentiation
Published in Communications Physics (2023-03-01)“…Here, the authors present a general theoretical framework based on the inverse problem that uses automatic differentiation to construct a Hamiltonian with the desired physical properties.…”
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Automatic differentiable numerical renormalization group
Published in Physical Review Research (2022-03-01)“…This is achieved efficiently within the differentiable programming paradigm, which utilizes automatic differentiation (AD) of each step of a computer program and the chain rule. …”
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Optimization of a Micromixer with Automatic Differentiation
Published in Fluids (2022-04-01)Subjects: “…automatic differentiation…”
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TMB: Automatic Differentiation and Laplace Approximation
Published in Journal of Statistical Software (2016-04-01)Subjects: “…automatic differentiation…”
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APPLICATION OF FAST AUTOMATIC DIFFERENTIATION FOR OPTIMIZATION OF SYSTEMS OF INTEGRO-DIFFERENTIAL EQUATIONS
Published in Вестник Кемеровского государственного университета (2014-11-01)Subjects: “…fast automatic differentiation method…”
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An Analysis of Vectorised Automatic Differentiation for Statistical Applications
Published in Stats (2025-05-01)Subjects: “…automatic differentiation…”
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Stochastic automatic differentiation and the signal to noise problem
Published in European Physical Journal C: Particles and Fields (2025-09-01)“…In this work we show that writing correlators as derivatives with respect to sources and evaluating these derivatives using techniques of stochastic automatic differentiation can eliminate completely the signal to noise problem. …”
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Driving enhanced exciton transfer by automatic differentiation
Published in Machine Learning: Science and Technology (2025-01-01)Subjects: “…automatic differentiation…”
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Designing athermal disordered solids with automatic differentiation
Published in Communications Materials (2024-08-01)Get full text
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Wave-function positivization via automatic differentiation
Published in Physical Review Research (2020-09-01)“…The optimization of the gates is performed through automatic differentiation algorithms, widely used in the machine learning community. …”
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Automatic differentiable Monte Carlo: Theory and application
Published in Physical Review Research (2023-07-01)“…Here we present the general theory enabling infinite-order automatic differentiation on expectations computed by Monte Carlo with unnormalized probability distributions, which we call automatic differentiable Monte Carlo (ADMC). …”
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Automatic differentiation of uncertainties: an interval computational differentiation for first and higher derivatives with implementation
Published in PeerJ Computer Science (2023-03-01)Subjects: “…Interval automatic differentiation…”
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Automatic Search of Differential Characteristics and Improved Differential Cryptanalysis for PRINCE, QARMA, and MANTIS
Published in IET Information Security (2024-01-01)“…In this paper, we consider the automatic differential cryptanalysis of reflection block ciphers based on Boolean satisfiability (SAT) method. …”
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Efficient Automatic Subdifferentiation for Programs with Linear Branches
Published in Mathematics (2023-12-01)Subjects: “…automatic differentiation…”
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Quantum Optimal Control via Semi-Automatic Differentiation
Published in Quantum (2022-12-01)“…We develop a framework of "semi-automatic differentiation" that combines existing gradient-based methods of quantum optimal control with automatic differentiation. …”
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Foundational Certification Of Code Transformations Using Automatic Differentiation
Published in Computer Science (2014-01-01)“…Automatic Differentiation (AD) is concerned with the semantics augmentation of an input program representing a function to form a transformed program that computes the function's derivatives. …”
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Smoothing Methods for Automatic Differentiation Across Conditional Branches
Published in IEEE Access (2023-01-01)Subjects: “…Automatic differentiation…”
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Compressed 'CMB-lite' Likelihoods Using Automatic Differentiation
Published in The Open Journal of Astrophysics (2025-02-01)“…In this work, we present an implementation of the CMB-lite framework relying on automatic differentiation. The technique presented reduces the computational cost of the lite likelihood construction to one minimisation and one Hessian evaluation, which run on a personal computer in about a minute. …”
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Linear Integrated Interface for Automatic Differential Capacitive Sensing
Published in Proceedings (2017-08-01)Get full text
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Automatic design of mutation parameter adaptation for differential evolution
Published in ITM Web of Conferences (2024-01-01)Get full text
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