Swamping and masking in Markov boundary discovery.
- Published in:
- Machine Learning, 2016, v. 104, n. 1, p. 25, doi. 10.1007/s10994-016-5545-0
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- Publication type:
- Article
Works matching DE "AUTOMATIC differentiation"
Results: 512
1
2
(Almost) matrix‐free solver for piecewise linear functions in abs‐normal form.
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- Numerical Linear Algebra with Applications, 2019, v. 26, n. 5, p. N.PAG, doi. 10.1002/nla.2258
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- Article
3
Automated Generation of Performance Values for Algorithmic Differentiation.
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- PAMM: Proceedings in Applied Mathematics & Mechanics, 2016, v. 16, n. 1, p. 863, doi. 10.1002/pamm.201610420
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4
Towards an AD based diagnosis of singularities of DAEs.
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- PAMM: Proceedings in Applied Mathematics & Mechanics, 2014, v. 14, n. 1, p. 867, doi. 10.1002/pamm.201410414
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- Article
5
Discrete Adjoint based Sensitivity Analysis for Optimal Active Flow Control of High-Lift Configurations.
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- PAMM: Proceedings in Applied Mathematics & Mechanics, 2013, v. 13, n. 1, p. 347, doi. 10.1002/pamm.201310169
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- Article
6
Solving Multi‐Term Time‐Fractional Diffusion Equations Using a High‐Order Fractional Finite Difference Scheme Accompanied by Neural Network Techniques.
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- Numerical Methods for Partial Differential Equations, 2025, v. 41, n. 1, p. 1, doi. 10.1002/num.23156
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- Article
7
Back to the Future - Part 2. Post-mortem assessment and evolutionary role of the bio-medicolegal sciences.
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- International Journal of Legal Medicine, 2017, v. 131, n. 4, p. 1085, doi. 10.1007/s00414-017-1585-7
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- Article
8
Modeling and simulation of chemo-elasto-plastically coupled battery active particles.
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- Computational Mechanics, 2025, v. 75, n. 1, p. 185, doi. 10.1007/s00466-024-02499-9
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- Article
9
Higher-order multi-scale deep Ritz method (HOMS-DRM) and its convergence analysis for solving thermal transfer problems of composite materials: Higher-order multi-scale deep Ritz method (HOMS-DRM)...: J. Linghu et al.
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- Computational Mechanics, 2025, v. 75, n. 1, p. 71, doi. 10.1007/s00466-024-02491-3
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- Article
10
Machine learning assisted discovery of effective viscous material laws for shear-thinning fiber suspensions.
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- Computational Mechanics, 2025, v. 75, n. 1, p. 51, doi. 10.1007/s00466-024-02490-4
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- Article
11
A versatile implicit computational framework for continuum-kinematics-inspired peridynamics.
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- Computational Mechanics, 2024, v. 73, n. 6, p. 1371, doi. 10.1007/s00466-023-02415-7
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- Article
12
One-point quadrature of higher-order finite and virtual elements in nonlinear analysis.
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- Computational Mechanics, 2024, v. 73, n. 5, p. 1187, doi. 10.1007/s00466-023-02406-8
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- Article
13
A nonlocal energy-informed neural network based on peridynamics for elastic solids with discontinuities.
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- Computational Mechanics, 2024, v. 73, n. 2, p. 233, doi. 10.1007/s00466-023-02365-0
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- Article
14
A multi-point synergistic gradient evolution method for topology optimization leveraging neural network with applications in converged and diverse designs.
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- Computational Mechanics, 2024, v. 73, n. 1, p. 105, doi. 10.1007/s00466-023-02358-z
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- Article
15
AutoMat: automatic differentiation for generalized standard materials on GPUs.
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- Computational Mechanics, 2022, v. 69, n. 2, p. 589, doi. 10.1007/s00466-021-02105-2
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16
Mixed peridynamic formulations for compressible and incompressible finite deformations.
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- Computational Mechanics, 2020, v. 65, n. 5, p. 1365, doi. 10.1007/s00466-020-01824-2
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- Article
17
Non-localised contact between beams with circular and elliptical cross-sections.
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- Computational Mechanics, 2020, v. 65, n. 5, p. 1247, doi. 10.1007/s00466-020-01817-1
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18
Conversion of the parameters of multicomponent two-terminal networks with signal differentiation.
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- Measurement Techniques, 2012, v. 55, n. 9, p. 1071, doi. 10.1007/s11018-012-0077-x
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19
Some methods for a Sutô-Aczél project-I.
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- Aequationes Mathematicae, 2015, v. 89, n. 4, p. 957, doi. 10.1007/s00010-014-0310-6
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- Article
20
Hierarchical block matrices as efficient representations of chromosome topologies and their application for 3C data integration.
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- Bioinformatics, 2016, v. 32, n. 8, p. 1121, doi. 10.1093/bioinformatics/btv736
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- Article
21
CDSfold: an algorithm for designing a proteincoding sequence with the most stable secondary structure.
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- Bioinformatics, 2016, v. 32, n. 6, p. 828, doi. 10.1093/bioinformatics/btv678
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- Article
22
AN ESTIMATION OF THE YARKOVSKY EFFECT ON ASTEROID (99942) APOPHIS VIA HIGH-ORDER TAYLOR POLYNOMIALS.
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- LPI Contribution, 2021, p. 1
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- Publication type:
- Article
23
Automatic differentiation based for particle swarm optimization steepest descent direction.
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- International Journal of Advances in Intelligent Informatics, 2015, v. 1, n. 2, p. 90, doi. 10.26555/ijain.v1i2.29
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- Article
24
Optimization of thread affinity and memory affinity for remote core locking synchronization in multithreaded programs for multicore computer systems.
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- Vibroengineering Procedia, 2017, v. 12, p. 213, doi. 10.21595/vp.2017.18689
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- Article
25
Study of the numerical efficiency of structured abs-normal forms.
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- Optimization Methods & Software, 2021, v. 36, n. 5, p. 909, doi. 10.1080/10556788.2019.1613654
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- Publication type:
- Article
26
A generic framework for approximation analysis of greedy algorithms for star bicoloring.
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- Optimization Methods & Software, 2021, v. 36, n. 4, p. 869, doi. 10.1080/10556788.2019.1649671
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27
On the abs-polynomial expansion of piecewise smooth functions.
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- Optimization Methods & Software, 2021, v. 36, n. 2/3, p. 301, doi. 10.1080/10556788.2020.1817448
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- Article
28
Seeding and adjoining zero-halo partitioned parallel scientific codes.
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- Optimization Methods & Software, 2020, v. 35, n. 3, p. 618, doi. 10.1080/10556788.2019.1591404
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- Article
29
Validated computation of the local truncation error of Runge-Kutta methods with automatic differentiation.
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- Optimization Methods & Software, 2018, v. 33, n. 4-6, p. 718, doi. 10.1080/10556788.2018.1459620
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- Article
30
Enumeration of subdifferentials of piecewise linear functions with abs-normal form.
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- Optimization Methods & Software, 2018, v. 33, n. 4-6, p. 1156, doi. 10.1080/10556788.2018.1458848
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- Publication type:
- Article
31
Comparing high-order multivariate AD methods.
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- Optimization Methods & Software, 2018, v. 33, n. 4-6, p. 995, doi. 10.1080/10556788.2018.1472256
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- Article
32
Pattern graph for sparse Hessian matrix determination<sup>†</sup>.
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- Optimization Methods & Software, 2018, v. 33, n. 4-6, p. 1250, doi. 10.1080/10556788.2018.1458849
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- Article
33
On efficient Hessian computation using the edge pushing algorithm in Julia.
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- Optimization Methods & Software, 2018, v. 33, n. 4-6, p. 1010, doi. 10.1080/10556788.2018.1480625
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34
Preface.
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- Optimization Methods & Software, 2018, v. 33, n. 4-6, p. 671, doi. 10.1080/10556788.2018.1486553
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35
Solving parameter estimation problems with discrete adjoint exponential integrators.
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- Optimization Methods & Software, 2018, v. 33, n. 4-6, p. 750, doi. 10.1080/10556788.2018.1448087
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- Publication type:
- Article
36
Expression templates for primal value taping in the reverse mode of algorithmic differentiation.
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- Optimization Methods & Software, 2018, v. 33, n. 4-6, p. 1207, doi. 10.1080/10556788.2018.1471140
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- Article
37
Divide-and-conquer checkpointing for arbitrary programs with no user annotation.
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- Optimization Methods & Software, 2018, v. 33, n. 4-6, p. 1288, doi. 10.1080/10556788.2018.1459621
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- Publication type:
- Article
38
Estimating the expansion coefficients of a geomagnetic field model using first-order derivatives of associated Legendre functions.
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- Optimization Methods & Software, 2018, v. 33, n. 4-6, p. 924, doi. 10.1080/10556788.2018.1448086
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- Publication type:
- Article
39
Algorithmic differentiation for piecewise smooth functions: a case study for robust optimization.
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- Optimization Methods & Software, 2018, v. 33, n. 4-6, p. 1073, doi. 10.1080/10556788.2017.1333613
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- Publication type:
- Article
40
On lower bounds for optimal Jacobian accumulation.
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- Optimization Methods & Software, 2018, v. 33, n. 4-6, p. 1264, doi. 10.1080/10556788.2017.1397145
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- Publication type:
- Article
41
A one-shot optimization framework with additional equality constraints applied to multi-objective aerodynamic shape optimization.
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- Optimization Methods & Software, 2018, v. 33, n. 4-6, p. 694, doi. 10.1080/10556788.2018.1437158
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- Publication type:
- Article
42
Parallelizable adjoint stencil computations using transposed forward-mode algorithmic differentiation.
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- Optimization Methods & Software, 2018, v. 33, n. 4-6, p. 672, doi. 10.1080/10556788.2018.1435654
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- Publication type:
- Article
43
Optimization of triple-ring electrodes on piezoceramic transducers using algorithmic differentiation.
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- Optimization Methods & Software, 2018, v. 33, n. 4-6, p. 868, doi. 10.1080/10556788.2018.1435652
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- Publication type:
- Article
44
SIMPLE adjoint message passing.
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- Optimization Methods & Software, 2018, v. 33, n. 4-6, p. 1232, doi. 10.1080/10556788.2018.1435653
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- Publication type:
- Article
45
A benchmark of selected algorithmic differentiation tools on some problems in computer vision and machine learning.
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- Optimization Methods & Software, 2018, v. 33, n. 4-6, p. 889, doi. 10.1080/10556788.2018.1435651
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- Publication type:
- Article
46
Mixed-language automatic differentiation.
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- Optimization Methods & Software, 2018, v. 33, n. 4-6, p. 1192, doi. 10.1080/10556788.2018.1435650
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- Article
47
Algorithmic differentiation of the Open CASCADE Technology CAD kernel and its coupling with an adjoint CFD solver.
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- Optimization Methods & Software, 2018, v. 33, n. 4-6, p. 813, doi. 10.1080/10556788.2018.1431235
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- Article
48
Proximal gradient method with automatic selection of the parameter by automatic differentiation.
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- Optimization Methods & Software, 2018, v. 33, n. 4-6, p. 708, doi. 10.1080/10556788.2018.1435648
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- Article
49
How AD can help solve differential-algebraic equations.
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- Optimization Methods & Software, 2018, v. 33, n. 4-6, p. 729, doi. 10.1080/10556788.2018.1428605
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- Article
50
Towards a full higher order AD-based continuation and bifurcation framework.
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- Optimization Methods & Software, 2018, v. 33, n. 4-6, p. 945, doi. 10.1080/10556788.2018.1428604
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- Publication type:
- Article