Luis Ceze
Hardware and Architecture · 2002–2020
A researcher in the Science corpus: 15 papers; trusts 32 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Hardware and Architecture — 81 citations into it; #272 of 1,551 by trust here, #161 by citations
- Computer Networks and Communications — 64 citations into it; #8,773 of 9,886 by trust here, #2,044 by citations
- Artificial Intelligence — 63 citations into it
- Electrical and Electronic Engineering — 40 citations into it; #3,099 of 16,539 by trust here, #6,973 by citations
- Computer Vision and Pattern Recognition — 38 citations into it
- Molecular Biology — 36 citations into it
- ML Systems & Hardware — 27 citations into it; #499 of 575 by trust here, #329 by citations
- Information Systems — 21 citations into it; #7,937 of 8,771 by trust here, #5,501 by citations
Whom Luis Ceze trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nick Goldman
- Claude E. Shannon
- Kevin E. Moore
- Hadi Esmaeilzadeh
- Adrian Sampson
- Tianqi Chen
- Kaiming He
- Geoffrey E. Hinton
- Ilya Sutskever
- George M. Church
Who trusts Luis Ceze overall
- Håkan Grahn
- Sparsh Mittal
- Chi Cao Minh
- T. Harris
- Swagath Venkataramani
- Jaewoong Chung
- Adrian Sampson
- Qiang Xu
- J. Larus
Papers from Luis Ceze's perspective
Ordered by how strongly the researchers Luis Ceze trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- TVM: An Automated End-to-End Optimizing Compiler for Deep Learning (2018) — 357 citations
- Architecture support for disciplined approximate programming (2012) — 461 citations
- Neural Acceleration for General-Purpose Approximate Programs (2012) — 604 citations
- EnerJ: approximate data types for safe and general low-power computation (2011) — 775 citations
- Approximate storage in solid-state memories (2013) — 298 citations
- A DNA-Based Archival Storage System (2016) — 475 citations
- PLink: Discovering and Exploiting Locality for Accelerated Distributed Training on the public Cloud (2020) — 57 citations
- Molecular digital data storage using DNA (2019) — 496 citations
- Random access in large-scale DNA data storage (2018) — 744 citations
- Learning to Optimize Tensor Programs (2018) — 501 citations
- TVM: An Automated End-to-End Optimizing Compiler for Deep Learning (2018)
- IncBricks: Toward In-Network Computation with an In-Network Cache (2017) — 176 citations
- DMP: deterministic shared memory multiprocessing (2009) — 350 citations
- Bulk Disambiguation of Speculative Threads in Multiprocessors (2006) — 321 citations
- An Overview of the BlueGene/L Supercomputer (2002) — 576 citations