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Jeffrey Mark Siskind, Barak A. Pearlmutter
Divide-and-conquer checkpointing for arbitrary programs with no user annotation
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
Theory & Techniques:
Checkpointing
Antoine Savine
Modern Computational Finance: AAD and Parallel Simulations
Wiley, 2018
Application Area:
Finance
Atiyah Elsheikh, Wolfgang Wiechert
The structural index of sensitivity equation systems
Article in Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis, 2018
Application Area:
Differential-Algebraic Equation
Theory & Techniques:
Equation-based AD
P. Mahapatra, J. Ma, S. E. Zitney
Nonlinear Model Predictive Control Using Decoupled A-B Net Formulation for Carbon Capture Systems -- Comparison with Algorithmic Differentiation Approach
Conference proceeding, 2018 Annual American Control Conference (ACC), Milwaukee, Wisconsin, USA, June 27--29, 2018, IEEE, 2018
Application Area:
Carbon Cycle, Control
Tools:
ADiMat
Lothar Birk, T. Luke McCulloch
Robust generation of constrained B-spline curves based on automatic differentiation and fairness optimization
Article in Computer Aided Geometric Design, 2018
Application Area:
Computer Aided Geometric Design
Harshitha Menon, Michael O. Lam, Daniel Osei-Kuffuor, Markus Schordan, Scott Lloyd, Kathryn Mohror, Jeffrey Hittinger
ADAPT: algorithmic differentiation applied to floating-point precision tuning
Conference proceeding, Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis, SC 2018, Dallas, TX, USA, November 11--16, 2018, IEEE / ACM, 2018
Application Area:
Error Analysis
Harshitha Menon, Kathryn Mohror
DisCVar: discovering critical variables using algorithmic differentiation for transient faults
Conference proceeding, Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPoPP 2018, Vienna, Austria, February 24--28, 2018, ACM, 2018
Application Area:
Error Analysis
Navjot Kukreja, Jan Hückelheim, Gerard J. Gorman
Backpropagation for long sequences: beyond memory constraints with constant overheads
Article in CoRR, 2018
Theory & Techniques:
Checkpointing
Sham M. Kakade, Jason D. Lee
Provably Correct Automatic Sub-Differentiation for Qualified Programs
Conference proceeding, Advances in Neural Information Processing Systems, Curran Associates, Inc., 2018
Theory & Techniques:
Generalized Subderivatives
Soeren Laue, Matthias Mitterreiter, Joachim Giesen
Computing Higher Order Derivatives of Matrix and Tensor Expressions
Conference proceeding, Advances in Neural Information Processing Systems, Curran Associates, Inc., 2018
Theory & Techniques:
Hierarchical Approach
van Merriënboer, Bart, Dan Moldovan, Alexander Wiltschko
Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming
Conference proceeding, Advances in Neural Information Processing Systems, Curran Associates, Inc., 2018
Tools:
Tangent
van Merriënboer, Bart, Olivier Breuleux, Arnaud Bergeron, Pascal Lamblin
Automatic differentiation in ML: Where we are and where we should be going
Conference proceeding, Advances in Neural Information Processing Systems, Curran Associates, Inc., 2018
Theory & Techniques:
General, Implementation Strategies
Yan Shen, Yuxing Dai
Fast Automatic Differentiation for Large Scale Bundle Adjustment
Article in IEEE Access, 2018
Application Area:
Computer Vision
Theory & Techniques:
Parallelism

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