Luís Ceze

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All published works

Action	Title	Year	Authors
+ PDF Chat	FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving	2025	Zihao Ye Lequn Chen Ruihang Lai Wuwei Lin Y. Charles Zhang Stephanie W. Wang Tianqi Chen Baris Kasikci Vinod Grover Arvind Krishnamurthy
+ PDF Chat	Palu: Compressing KV-Cache with Low-Rank Projection	2024	Chi-Chih Chang Wei-Cheng Lin Chien-Yu Lin Chong-Yan Chen Yu-Fang Hu Pei-Shuo Wang Ning-Chi Huang Luís Ceze Kai–Chiang Wu
+ PDF Chat	vMCU: Coordinated Memory Management and Kernel Optimization for DNN Inference on MCUs	2024	Size Zheng Renze Chen Meng Li Zihao Ye Luís Ceze Yun Liang
+	SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning	2023	Zihao Ye Ruihang Lai Junru Shao Tianqi Chen Luís Ceze
+	Punica: Multi-Tenant LoRA Serving	2023	Lequn Chen Zihao Ye Yongji Wu Danyang Zhuo Luís Ceze Arvind Krishnamurthy
+	Atom: Low-bit Quantization for Efficient and Accurate LLM Serving	2023	Yilong Zhao Chien‐Yu Lin Kan Zhu Zihao Ye Lequn Chen Size Zheng Luís Ceze Arvind Krishnamurthy Tianqi Chen Baris Kasikci
+	Passively sensing SARS-CoV-2 RNA in public transit buses	2022	Jason S. Hoffman Matthew Hirano Nuttada Panpradist Joseph Breda Parker S. Ruth Yuanyi Xu Jonathan Lester Bichlien H. Nguyen Luís Ceze Shwetak Patel
+	SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning	2022	Zihao Ye Ruihang Lai Junru Shao Tianqi Chen Luís Ceze
+ PDF Chat	Characterizing and Taming Resolution in Convolutional Neural Networks	2021	Eddie Yan Liang Luo Luís Ceze
+ PDF Chat	Pure tensor program rewriting via access patterns (representation pearl)	2021	Gus Henry Smith Andrew Liu Steven Lyubomirsky Scott Davidson Joseph McMahan Michael Taylor Luís Ceze Zachary Tatlock
+	Passively Sensing SARS-CoV-2 RNA in Public Transit Buses	2021	Jason S. Hoffman Matthew Hirano Nuttada Panpradist Joseph Breda Parker S. Ruth Yuanyi Xu Jonathan Lester Bichlien H. Nguyen Luís Ceze Shwetak Patel
+	Automated Backend-Aware Post-Training Quantization	2021	Ziheng Jiang Animesh Jain Andy Liu Josh Fromm Ma Chengqian Tianqi Chen Luís Ceze
+	VSS: A Storage System for Video Analytics [Technical Report]	2021	Brandon Haynes Maureen Daum Dong He Amrita Mazumdar Magdalena Balazinska Alvin Cheung Luís Ceze
+	Accelerating SpMM Kernel with Cache-First Edge Sampling for Graph Neural Networks	2021	Chien‐Yu Lin Liang Luo Luís Ceze
+	Cloud Collectives: Towards Cloud-aware Collectives forML Workloads with Rank Reordering	2021	Liang Luo Jacob Nelson Arvind Krishnamurthy Luís Ceze
+	Characterizing and Taming Resolution in Convolutional Neural Networks	2021	Eddie Yan Liang Luo Luís Ceze
+	Srift: Swift and Thrift Cloud-Based Distributed Training.	2020	Liang Luo P. West Arvind Krishnamurthy Luís Ceze
+	Enumerating Hardware-Software Splits with Program Rewriting	2020	G.P. Smith Zachary Tatlock Luís Ceze
+	Srifty: Swift and Thrifty Distributed Training on the Cloud	2020	Liang Luo Peter West Arvind Krishnamurthy Luís Ceze
+ PDF Chat	A Hardware–Software Blueprint for Flexible Deep Learning Specialization	2019	Thierry Moreau Tianqi Chen Luis Vega Jared Roesch Eddie Yan Lianmin Zheng Josh Fromm Ziheng Jiang Luís Ceze Carlos Guestrin
+	Synthesizing Number Generators for Stochastic Computing using Mixed Integer Programming	2019	Vincent T. Lee Archibald Samuel Elliott Armin Alaghi Luís Ceze
+	Vignette: Perceptual Compression for Video Storage and Processing Systems	2019	Amrita Mazumdar Brandon Haynes Magdalena Balazinska Luís Ceze Alvin Cheung Mark Oskin
+	Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training	2018	Liang Luo Jacob Nelson Luís Ceze Amar Phanishayee Arvind Krishnamurthy
+	Parameter Hub	2018	Liang Luo Jacob Nelson Luís Ceze Amar Phanishayee Arvind Krishnamurthy
+	VTA: An Open Hardware-Software Stack for Deep Learning.	2018	Thierry Moreau Tianqi Chen Ziheng Jiang Luís Ceze Carlos Guestrin Arvind Krishnamurthy
+	A Hardware-Software Blueprint for Flexible Deep Learning Specialization	2018	Thierry Moreau Tianqi Chen Luis Vega Jared Roesch Eddie Yan Lianmin Zheng Josh Fromm Ziheng Jiang Luís Ceze Carlos Guestrin
+ PDF Chat	Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training	2018	Liang Luo Jacob Nelson Luís Ceze Amar Phanishayee Arvind Krishnamurthy
+	Learning to Optimize Tensor Programs	2018	Tianqi Chen Lianmin Zheng Eddie Yan Ziheng Jiang Thierry Moreau Luís Ceze Carlos Guestrin Arvind Krishnamurthy
+	Correlation Manipulating Circuits for Stochastic Computing.	2018	Vincent T. Lee Armin Alaghi Luís Ceze
+ PDF Chat	MATIC: Learning around errors for efficient low-voltage neural network accelerators	2018	Sung Kim Patrick Howe Thierry Moreau Armin Alaghi Luís Ceze Visvesh Sathe
+ PDF Chat	Correlation manipulating circuits for stochastic computing	2018	Vincent T. Lee Armin Alaghi Luís Ceze
+	TVM: End-to-End Optimization Stack for Deep Learning	2018	Tianqi Chen Thierry Moreau Ziheng Jiang Haichen Shen Eddie Yan Leyuan Wang Yuwei Hu Luís Ceze Carlos Guestrin Arvind Krishnamurthy
+	Parameter Hub: High Performance Parameter Servers for Efficient Distributed Deep Neural Network Training.	2018	Liang Luo Jacob Nelson Luís Ceze Amar Phanishayee Arvind Krishnamurthy
+	Learning to Optimize Tensor Programs	2018	Tianqi Chen Lianmin Zheng Eddie Yan Ziheng Jiang Thierry Moreau Luís Ceze Carlos Guestrin Arvind Krishnamurthy
+	Computer Security Risks of Distant Relative Matching in Consumer Genetic Databases	2018	Peter Ney Luís Ceze Tadayoshi Kohno
+	Stochastic Synthesis for Stochastic Computing	2018	Vincent T. Lee Armin Alaghi Luís Ceze Mark Oskin
+	Automating Generation of Low Precision Deep Learning Operators	2018	Meghan Cowan Thierry Moreau Tianqi Chen Luís Ceze
+	TVM: An Automated End-to-End Optimizing Compiler for Deep Learning	2018	Tianqi Chen Thierry Moreau Ziheng Jiang Lianmin Zheng Eddie Yan Meghan Cowan Haichen Shen Leyuan Wang Yuwei Hu Luís Ceze
+	A Hardware-Software Blueprint for Flexible Deep Learning Specialization	2018	Thierry Moreau Tianqi Chen Luis Vega Jared Roesch Eddie Yan Lianmin Zheng Josh Fromm Ziheng Jiang Luís Ceze Carlos Guestrin
+	Correlation Manipulating Circuits for Stochastic Computing	2018	Vincent T. Lee Armin Alaghi Luís Ceze
+	Parameter Box: High Performance Parameter Servers for Efficient Distributed Deep Neural Network Training	2018	Liang Luo Jacob Nelson Luís Ceze Amar Phanishayee Arvind Krishnamurthy
+ PDF Chat	Exploring computation-communication tradeoffs in camera systems	2017	Amrita Mazumdar Thierry Moreau Sung Kim Meghan Cowan Armin Alaghi Luís Ceze Mark Oskin Visvesh Sathe
+	MATIC: Adaptation and In-situ Canaries for Energy-Efficient Neural Network Acceleration	2017	Sung Kim Patrick Howe Thierry Moreau Armin Alaghi Luís Ceze Visvesh Sathe
+	Exploring Computation-Communication Tradeoffs in Camera Systems	2017	Amrita Mazumdar Thierry Moreau Sung Hoon Kim Meghan Cowan Armin Alaghi Luís Ceze Mark Oskin Visvesh Sathe
+	Energy-Efficient Hybrid Stochastic-Binary Neural Networks for Near-Sensor Computing	2017	Vincent T. Lee Armin Alaghi John P. Hayes Visvesh Sathe Luís Ceze
+ PDF Chat	Similarity Search on Automata Processors	2017	Vincent T. Lee Justin Kotalik Carlo C. del Mundo Armin Alaghi Luís Ceze Mark Oskin
+	Making data center computations fast, but not so furious.	2017	Daniel Porto João Loff Rui Policarpo Duarte Luís Ceze Rodrigo Rodrigues
+ PDF Chat	Energy-efficient hybrid stochastic-binary neural networks for near-sensor computing	2017	Vincent T. Lee Armin Alaghi John P. Hayes Visvesh Sathe Luís Ceze
+	Democratizing Design for Future Computing Platforms	2017	Luís Ceze Mark D. Hill Karthikeyan Sankaralingam Thomas F. Wenisch
+	MATIC: Learning Around Errors for Efficient Low-Voltage Neural Network Accelerators	2017	Sung Kim Patrick Howe Thierry Moreau Armin Alaghi Luís Ceze Visvesh Sathe
+	Making data center computations fast, but not so furious	2017	Daniel A. Porto João Loff Rui Policarpo Duarte Luís Ceze Rodrigo Rodrigues
+	Exploring Computation-Communication Tradeoffs in Camera Systems	2017	Amrita Mazumdar Thierry Moreau Sung Hoon Kim Meghan Cowan Armin Alaghi Luís Ceze Mark Oskin Visvesh Sathe
+	Energy-Efficient Hybrid Stochastic-Binary Neural Networks for Near-Sensor Computing	2017	Vincent T. Lee Armin Alaghi John P. Hayes Visvesh Sathe Luís Ceze
+	Near Memory Similarity Search on Automata Processors	2016	Vincent T. Lee Justin Kotalik Carlo C. del Mundo Armin Alaghi Luís Ceze Mark Oskin
+	Similarity Search on Automata Processors	2016	Vincent T. Lee Justin Kotalik Carlo C. del Mundo Armin Alaghi Luís Ceze Mark Oskin
+	NCAM: Near-Data Processing for Nearest Neighbor Search	2016	Vincent T. Lee Carlo C. del Mundo Armin Alaghi Luís Ceze Mark Oskin Ali Farhadi
+	Arch2030: A Vision of Computer Architecture Research over the Next 15 Years	2016	Luís Ceze Mark D. Hill Thomas F. Wenisch
+	Application-Driven Near-Data Processing for Similarity Search	2016	Vincent T. Lee Amrita Mazumdar Carlo C. del Mundo Armin Alaghi Luís Ceze Mark Oskin
+	21st Century Computer Architecture	2016	Mark D. Hill Sarita V. Adve Luís Ceze M.J. Irwin David Kaeli Margaret Martonosi Josep Torrellas Thomas F. Wenisch David Wood Katherine Yelick
+	Similarity Search on Automata Processors	2016	Vincent T. Lee Justin Kotalik Carlo C. del Mundo Armin Alaghi Luís Ceze Mark Oskin
+	SAP: an Architecture for Selectively Approximate Wireless Communication	2015	Benjamin Ransford Luís Ceze
+	SAP: an Architecture for Selectively Approximate Wireless Communication	2015	Benjamin Ransford Luís Ceze
+ PDF Chat	The impact of memory models on software reliability in multiprocessors	2011	Alexander Jaffe Thomas Moscibroda Laura Effinger-Dean Luís Ceze Karin Strauß
+	The Impact of Memory Models on Software Reliability in Multiprocessors	2011	Alexander Jaffe Thomas Moscibroda Laura Effinger-Dean Luís Ceze Karin Strauß
+	Sparse Direct Methods	2011	Jack Dongarra Piotr Łuszczek Felix Wolf Jesper Larsson Träff Patrice Quinton Hermann Hellwagner Martin Fränzle Christian Lengauer Luís Ceze Kei Hiraki
+	The Impact of Memory Models on Software Reliability in Multiprocessors	2011	Alexander Jaffe Thomas Moscibroda Laura Effinger-Dean Luís Ceze Karin Strauß

Common Coauthors

Coauthor	Papers Together
Armin Alaghi	20
Arvind Krishnamurthy	19
Thierry Moreau	15
Tianqi Chen	14
Vincent T. Lee	13
Mark Oskin	11
Visvesh Sathe	9
Ziheng Jiang	9
Eddie Yan	9
Carlos Guestrin	8
Amrita Mazumdar	6
Carlo C. del Mundo	6
Liang Luo	6
Jacob Nelson	6
Lianmin Zheng	6
Amar Phanishayee	5
Meghan Cowan	5
Josh Fromm	4
Justin Kotalik	4
Zihao Ye	4
Lequn Chen	3
Alexander Jaffe	3
Jared Roesch	3
Laura Effinger-Dean	3
Thomas F. Wenisch	3
Mark D. Hill	3
Patrick Howe	3
John P. Hayes	3
Ruihang Lai	3
Karin Strauß	3
Thomas Moscibroda	3
Liang Luo	3
Matthew Hirano	2
Junru Shao	2
Brandon Haynes	2
Sung Kim	2
Bichlien H. Nguyen	2
Luis Vega	2
Sung Kim	2
Yuwei Hu	2
Jason S. Hoffman	2
Zihao Ye	2
Joseph Breda	2
Leyuan Wang	2
João Loff	2
Haichen Shen	2
Alvin Cheung	2
Josep Torrellas	2
Magdalena Balazinska	2
Size Zheng	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	In-Datacenter Performance Analysis of a Tensor Processing Unit	2017	Norman P. Jouppi Cliff Young Nishant Patil David A. Patterson Gaurav Agrawal Raminder Bajwa S. C. Bates Suresh Bhatia Nan Boden Al Borchers	8
+	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	7
+	Learning to Optimize Tensor Programs	2018	Tianqi Chen Lianmin Zheng Eddie Yan Ziheng Jiang Thierry Moreau Luís Ceze Carlos Guestrin Arvind Krishnamurthy	6
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	5
+	XGBoost	2016	Tianqi Chen Carlos Guestrin	5
+	Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour	2017	Priya Goyal Piotr Dollár Ross Girshick Pieter Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He	5
+ PDF Chat	FireCaffe: Near-Linear Acceleration of Deep Neural Network Training on Compute Clusters	2016	Forrest Iandola Matthew W. Moskewicz Khalid Ashraf Kurt Keutzer	4
+ 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	4
+	Fast k nearest neighbor search using GPU	2008	Vincent Garcia Éric Debreuve Michel Barlaud	4
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	4
+	Training Deep Nets with Sublinear Memory Cost	2016	Tianqi Chen Bing Xu Chiyuan Zhang Carlos Guestrin	4
+	DLVM: A modern compiler infrastructure for deep learning systems	2017	Richard Wei Lane Schwartz Vikram Adve	4
+ PDF Chat	ASP Vision: Optically Computing the First Layer of Convolutional Neural Networks Using Angle Sensitive Pixels	2016	Huaijin Chen Suren Jayasuriya Jiyue Yang Judy Stephen S. Sivaramakrishnan Ashok Veeraraghavan Alyosha Molnar	4
+ PDF Chat	The tensor algebra compiler	2017	Fredrik Kjølstad Shoaib Kamil Stephen Y. Chou David Lugato Saman Amarasinghe	4
+ PDF Chat	Energy-efficient hybrid stochastic-binary neural networks for near-sensor computing	2017	Vincent T. Lee Armin Alaghi John P. Hayes Visvesh Sathe Luís Ceze	3
+ PDF Chat	Benchmarking State-of-the-Art Deep Learning Software Tools	2016	Shaohuai Shi Qiang Wang Pengfei Xu Xiaowen Chu	3
+	TensorFlow: A system for large-scale machine learning	2016	Martı́n Abadi Paul Barham Jianmin Chen Zhifeng Chen Andy Davis Jay B. Dean Matthieu Devin Sanjay Ghemawat Geoffrey Irving Michael Isard	3
+	Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions	2018	Nicolas Vasilache Oleksandr Zinenko Theodoros Theodoridis Priya Goyal Zachary DeVito William S. Moses Sven Verdoolaege Andrew Adams Albert Cohen	3
+	Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training	2017	Yujun Lin Song Han Huizi Mao Yu Wang William J. Dally	3
+	Learning to Optimize Tensor Programs	2018	Tianqi Chen Lianmin Zheng Eddie Yan Ziheng Jiang Thierry Moreau Luís Ceze Carlos Guestrin Arvind Krishnamurthy	3
+	Large Scale Distributed Multiclass Logistic Regression	2014	Pengtao Xie Jin Kyu Kim Eric P. Xing	3
+	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	Andrew Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam	3
+	A method for unconstrained convex minimization problem with the rate of convergence o(1/k^2)	1983	Yurii Nesterov	3
+ PDF Chat	High-Performance Distributed ML at Scale through Parameter Server Consistency Models	2015	Wei Dai Abhimanu Kumar Jinliang Wei Qirong Ho Garth A. Gibson Eric P. Xing	3
+	Principal Component Analysis	2014	Ian T. Jolliffe	3
+	Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks	2015	Kai Sheng Tai Richard Socher Christopher D. Manning	2
+	Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters	2017	Hao Zhang Zeyu Zheng Shizhen Xu Wei Dai Qirong Ho Xiaodan Liang Zhiting Hu Jinliang Wei Pengtao Xie Eric P. Xing	2
+ PDF Chat	MobileNetV2: Inverted Residuals and Linear Bottlenecks	2018	Mark Sandler Andrew Howard Menglong Zhu Andrey Zhmoginov Liang-Chieh Chen	2
+ PDF Chat	In-Datacenter Performance Analysis of a Tensor Processing Unit	2017	Norman P. Jouppi Cliff Young Nishant Patil David A. Patterson Gaurav Agrawal Raminder Bajwa S. C. Bates Suresh Bhatia Nan Boden Al Borchers	2
+	Learning to Represent Programs with Graphs	2017	Miltiadis Allamanis Marc Brockschmidt Mahmoud Khademi	2
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	2
+	Caffe: Convolutional Architecture for Fast Feature Embedding	2014	Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross Girshick Sergio Guadarrama Trevor Darrell	2
+	TVM: An Automated End-to-End Optimizing Compiler for Deep Learning	2018	Tianqi Chen Thierry Moreau Ziheng Jiang Lianmin Zheng Eddie Yan Meghan Cowan Haichen Shen Leyuan Wang Yuwei Hu Luís Ceze	2
+	HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent	2011	Feng Niu Benjamin Recht Christopher Ré Stephen J. Wright	2
+	EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks	2019	Mingxing Tan Quoc V. Le	2
+	Horovod: fast and easy distributed deep learning in TensorFlow	2018	Alexander Sergeev Mike Del Balso	2
+ PDF Chat	Scanner	2018	Alex Poms Will Crichton Pat Hanrahan Kayvon Fatahalian	2
+ PDF Chat	Fast Video Classification via Adaptive Cascading of Deep Models	2017	Haichen Shen Seungyeop Han Matthai Philipose Arvind Krishnamurthy	2
+	DeepConfig: Automating Data Center Network Topologies Management with Machine Learning	2017	Christopher Streiffer Huan Chen Theophilus Benson Asim Kadav	2
+	Theano: new features and speed improvements	2012	Frédéric Bastien Pascal Lamblin Razvan Pascanu James Bergstra Ian J. Goodfellow Arnaud Bergeron Nicolas Bouchard David Warde-Farley Yoshua Bengio	2
+	On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima	2016	Nitish Shirish Keskar Dheevatsa Mudigere Jorge Nocedal Mikhail Smelyanskiy Ping Tang	2
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	2
+	Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning	2018	Scott Cyphers Arjun K. Bansal Anahita Bhiwandiwalla Jayaram Bobba Matthew Brookhart Avijit Chakraborty Will Constable Christian Convey Leona Cook Omar Kanawi	2
+	A Comparative Study Of Data Center Network Architectures	2012	Kashif Bilal Samee U. Khan Joanna Kołodziej Limin Zhang Khizar Hayat Sajjad A. Madani Nasro Min‐Allah Lizhe Wang Dan Chen	2
+	DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients	2016	Shuchang Zhou Yuxin Wu Zekun Ni Xinyu Zhou He Wen Yuheng Zou	2
+ PDF Chat	Chain-NN: An energy-efficient 1D chain architecture for accelerating deep convolutional neural networks	2017	Shihao Wang Dajiang Zhou Xushen Han Takeshi Yoshimura	2
+	Practical Bayesian Optimization of Machine Learning Algorithms	2012	Jasper Snoek Hugo Larochelle Ryan P. Adams	2
+ PDF Chat	Extensive Viable Middle East Respiratory Syndrome (MERS) Coronavirus Contamination in Air and Surrounding Environment in MERS Isolation Wards	2016	Sung‐Han Kim So Young Chang Minki Sung Ji Hoon Park Hong Bin Kim Hee-Young Lee Jae‐Phil Choi Won Suk Choi Ji-Young Min	2
+	Revisiting Distributed Synchronous SGD	2017	Jianmin Chen Rajat Monga Samy Bengio Rafał Józefowicz	2
+	Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1	2016	Matthieu Courbariaux Itay Hubara Daniel Soudry Ran El‐Yaniv Yoshua Bengio	2