Grégory M. Essertel

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All published works

Action	Title	Year	Authors
+	Architecting Intermediate Layers for Efficient Composition of Data Management and Machine Learning Systems	2023	Supun Abeysinghe Fei Wang Grégory M. Essertel Tiark Rompf
+ PDF Chat	Demystifying differentiable programming: shift/reset the penultimate backpropagator	2019	Fei Wang Daniel Zheng James Decker Xilun Wu Grégory M. Essertel Tiark Rompf
+	Demystifying Differentiable Programming: Shift/Reset the Penultimate Backpropagator	2018	Fei Wang Xilun Wu Grégory M. Essertel James Decker Tiark Rompf
+	Flare: Native Compilation for Heterogeneous Workloads in Apache Spark	2017	Grégory M. Essertel Ruby Y. Tahboub James Decker Kevin J. Brown Kunle Olukotun Tiark Rompf

Common Coauthors

Coauthor	Papers Together
Tiark Rompf	4
James Decker	3
Fei Wang	2
Xilun Wu	2
Ruby Y. Tahboub	1
Fei Wang	1
Kevin J. Brown	1
Kunle Olukotun	1
Supun Abeysinghe	1
Daniel Zheng	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems	2015	Tianqi Chen Mu Li Yutian Li Min Lin Naiyan Wang Minjie Wang Tianjun Xiao Bing Xu Chiyuan Zhang Zheng Zhang	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	DiffSharp: An AD Library for .NET Languages	2016	Atılım Güneş Baydin Barak A. Pearlmutter Jeffrey Mark Siskind	2
+	Glow: Graph Lowering Compiler Techniques for Neural Networks	2018	Nadav Rotem Jordan Fix Saleem Abdulrasool Summer Deng Roman Dzhabarov James W. Hegeman Roman Levenstein Bert Maher Satish Nadathur Jakob Olesen	2
+ PDF Chat	Relay: a new IR for machine learning frameworks	2018	Jared Roesch Steven Lyubomirsky Logan Weber Josh Pollock Marisa Kirisame Tianqi Chen Zachary Tatlock	2
+	TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems	2016	Martı́n Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Gregory S. Corrado Andy Davis Jay B. Dean Matthieu Devin	2
+	Efficient Implementation of a Higher-Order Language with Built-In AD	2016	Jeffrey Mark Siskind Barak A. Pearlmutter	2
+	Deep Speech 2: End-to-End Speech Recognition in English and Mandarin	2015	Dario Amodei Rishita Anubhai Eric Battenberg Carl Case Jared Casper Bryan Catanzaro Jingdong Chen Mike Chrzanowski Adam Coates Greg Diamos	2
+	Neural Turing Machines	2014	Alex Graves Greg Wayne Ivo Danihelka	2
+	Deep Learning with Dynamic Computation Graphs	2017	Moshe Looks Marcello Herreshoff DeLesley Hutchins Peter Norvig	2
+	A Steepest-Ascent Method for Solving Optimum Programming Problems	1962	A. E. Bryson WALTER F. DENHAM	2
+	Backprop as Functor: A compositional perspective on supervised learning	2017	Brendan Fong David I. Spivak Rémy Tuyéras	1
+	Efficient Differentiable Programming in a Functional Array-Processing Language	2018	Amir Shaikhha Andrew Fitzgibbon Dimitrios Vytiniotis Simon Peyton Jones Christoph Koch	1
+ PDF Chat	The simple essence of automatic differentiation	2018	Conal Elliott	1
+	Compiling fast partial derivatives of functions given by algorithms	1980	B. Speelpenning	1
+ PDF Chat	Efficient differentiable programming in a functional array-processing language	2019	Amir Shaikhha Andrew Fitzgibbon Dimitrios Vytiniotis Simon Peyton Jones	1
+	Learning to transduce with unbounded memory	2015	Edward Grefenstette Karl Moritz Hermann Mustafa Suleyman Phil Blunsom	1
+	Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks	2015	Kai Sheng Tai Richard Socher Christopher D. Manning	1
+ PDF Chat	Building-Blocks for Performance Oriented DSLs	2011	Tiark Rompf Arvind K. Sujeeth HyoukJoong Lee Kevin J. Brown Hassan Chafi Martin Odersky Kunle Olukotun	1
+	SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size	2016	Forrest Iandola Song Han Matthew W. Moskewicz Khalid Ashraf William J. Dally Kurt Keutzer	1
+	Beautiful differentiation	2009	Conal Elliott	1
+	Theano: A Python framework for fast computation of mathematical expressions	2016	The Theano Development Team Rami Al‐Rfou Guillaume Alain Amjad Almahairi Christof Angermueller Dzmitry Bahdanau Nicolas Ballas Frédéric Bastien Justin Bayer Anatoly Belikov	1
+	DyNet: The Dynamic Neural Network Toolkit	2017	Graham Neubig Chris Dyer Yoav Goldberg Austin Matthews Waleed Ammar Antonios Anastasopoulos Miguel Ballesteros David Chiang Daniel Clothiaux Trevor Cohn	1
+	On-the-fly Operation Batching in Dynamic Computation Graphs	2017	Graham Neubig Yoav Goldberg Chris Dyer	1
+	Modeling, Inference and Optimization with Composable Differentiable Procedures	2016	Dougal Maclaurin	1
+	DLVM: A modern compiler infrastructure for deep learning systems	2017	Richard Wei Lane Schwartz Vikram Adve	1