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Demystifying Differentiable Programming: Shift/Reset the Penultimate Backpropagator

27 March 2018

Fei Wang

Papers citing "Demystifying Differentiable Programming: Shift/Reset the Penultimate Backpropagator"

27 / 27 papers shown

Title
Automatic Functional Differentiation in JAX Min Lin 29 4 0 30 Nov 2023
Understanding Automatic Differentiation Pitfalls Jan Huckelheim Harshitha Menon William S. Moses Bruce Christianson P. Hovland Laurent Hascoet PINN 68 4 0 12 May 2023
$$\nabla$SD: Differentiable Programming for Sparse Tensors$ $\nabla$ SD: Differentiable Programming for Sparse Tensors Amir Shaikhha Mathieu Huot Shideh Hashemian 87 2 0 13 Mar 2023
Efficient and Sound Differentiable Programming in a Functional Array-Processing Language Amir Shaikhha Mathieu Huot Shabnam Ghasemirad Andrew Fitzgibbon S. Jones Dimitrios Vytiniotis 84 1 0 20 Dec 2022
Differentiable Quantum Programming with Unbounded Loops Wang Fang Mingsheng Ying Xiaodi Wu 36 1 0 08 Nov 2022
Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training Cong Guo Yuxian Qiu Jingwen Leng Chen Zhang Yingdian Cao Quan Zhang Yunxin Liu Fan Yang Minyi Guo AI4CE 97 4 0 22 Sep 2022
Combinatory Adjoints and Differentiation M. Elsman F. Henglein R. Kaarsgaard Mikkel Kragh Mathiesen Robert Schenck 31 2 0 02 Jul 2022
Differentiable programming: Generalization, characterization and limitations of deep learning Adrián Hernández G. Millérioux José M. Amigó 112 2 0 13 May 2022
AD for an Array Language with Nested Parallelism Robert Schenck O. Rønning Troels Henriksen C. Oancea 39 10 0 21 Feb 2022
Coarsening Optimization for Differentiable Programming Xipeng Shen Guoqiang Zhang Irene Dea S. Andow Emilio Arroyo-Fang ... E. Meijer Steffi Stumpos Alanna Tempest Christy Warden Shannon Yang 40 2 0 05 Oct 2021
Functorial String Diagrams for Reverse-Mode Automatic Differentiation Mario Alvarez-Picallo D. Ghica David Sprunger Fabio Zanasi 53 17 0 28 Jul 2021
Swift for TensorFlow: A portable, flexible platform for deep learning Brennan Saeta Denys Shabalin M. Rasi Brad Larson Xihui Wu ... Saleem Abdulrasool A. Efremov Dave Abrahams Chris Lattner Richard Wei HAI 69 11 0 26 Feb 2021
Automatic Differentiation via Effects and Handlers: An Implementation in Frank Jesse Sigal 21 6 0 20 Jan 2021
Using Differentiable Programming for Flexible Statistical Modeling Maren Hackenberg M. Grodd Clemens Kreutz Martina Fischer J. Esins L. Grabenhenrich C. Karagiannidis Harald Binder 37 4 0 07 Dec 2020
Differentiating a Tensor Language Gilbert Bernstein Michael Mara Tzu-Mao Li D. Maclaurin Jonathan Ragan-Kelley 60 12 0 25 Aug 2020
Differentiable Programming for Hyperspectral Unmixing using a Physics-based Dispersion Model J. Janiczek Parth Thaker Gautam Dasarathy C. Edwards P. Christensen Suren Jayasuriya 141 3 0 12 Jul 2020
On Correctness of Automatic Differentiation for Non-Differentiable Functions Wonyeol Lee Hangyeol Yu Xavier Rival Hongseok Yang 86 41 0 12 Jun 2020
A Differential-form Pullback Programming Language for Higher-order Reverse-mode Automatic Differentiation Carol Mak C.-H. Luke Ong 102 10 0 19 Feb 2020
Resilient Cyberphysical Systems and their Application Drivers: A Technology Roadmap Somali Chaterji Parinaz Naghizadeh Ardabili M. A. Alam S. Bagchi M. Chiang ... Tiark Rompf A. Sabharwal S. Sundaram James Weimer Jennifer Weller 62 16 0 20 Dec 2019
A Simple Differentiable Programming Language M. Abadi G. Plotkin 68 66 0 11 Nov 2019
Backpropagation in the Simply Typed Lambda-calculus with Linear Negation Aloïs Brunel Damiano Mazza Michele Pagani 76 46 0 27 Sep 2019
Functional probabilistic programming for scalable Bayesian modelling Jonathan Law D. Wilkinson 20 1 0 06 Aug 2019
A Differentiable Programming System to Bridge Machine Learning and Scientific Computing Mike Innes Alan Edelman Keno Fischer Chris Rackauckas Elliot Saba Viral B. Shah Will Tebbutt PINN 99 184 0 17 Jul 2019
Relay: A High-Level Compiler for Deep Learning Jared Roesch Steven Lyubomirsky Marisa Kirisame Logan Weber Josh Pollock Luis Vega Ziheng Jiang Tianqi Chen T. Moreau Zachary Tatlock 75 21 0 17 Apr 2019
Residual Reinforcement Learning for Robot Control T. Johannink Shikhar Bahl Ashvin Nair Jianlan Luo Avinash Kumar M. Loskyll J. A. Ojea Eugen Solowjow Sergey Levine OffRL 90 420 0 07 Dec 2018
Deep learning for pedestrians: backpropagation in CNNs L. Boué 3DV PINN 41 4 0 29 Nov 2018
AutoGraph: Imperative-style Coding with Graph-based Performance D. Moldovan James M. Decker Fei Wang A. A. Johnson Brian K. Lee Zachary Nado D. Sculley Tiark Rompf Alexander B. Wiltschko 60 43 0 16 Oct 2018