Charles E. Leiserson

Artificial Intelligence · 2001–2020

A researcher in the Science corpus: 10 papers; trusts 15 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Hardware and Architecture — 15 citations into it; #293 of 1,551 by trust here, #954 by citations
• Computer Networks and Communications — 12 citations into it; #8,070 of 9,886 by trust here, #3,638 by citations
• Computer Vision and Pattern Recognition — 7 citations into it
• Computational Theory and Mathematics — 6 citations into it

Whom Charles E. Leiserson trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Derek Bruening
2. Chi-Keung Luk
3. Aranyak Mehta
4. Robert S. Cohn
5. David S. Johnson
6. Robert Muth
7. David A. Patterson
8. John L. Hennessy

Who trusts Charles E. Leiserson overall

1. Joseph K. Bradley
2. Yucheng Low
3. Aapo Kyrola
4. Danny Bickson
5. Matthieu Latapy
6. Philip Bille
7. Bang Wang
8. U. Brandes
9. Diansheng Guo
10. Helmut Jürgensen

Papers from Charles E. Leiserson's perspective

Ordered by how strongly the researchers Charles E. Leiserson trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Efficient, transparent, and comprehensive runtime code manipulation
3. Pattern Recognition and Machine Learning
4. In-datacenter performance analysis of a tensor processing unit
5. Gated Graph Sequence Neural Networks
6. Introduction to algorithms
7. OSKI: A library of automatically tuned sparse matrix kernels
8. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
9. Deep, Big, Simple Neural Nets for Handwritten Digit Recognition
10. Spectral Networks and Locally Connected Networks on Graphs

Their papers

• Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics (2019) — 480 citations
• There’s plenty of room at the Top: What will drive computer performance after Moore’s law? (2020) — 412 citations
• The pochoir stencil compiler (2011) — 374 citations
• Parallel sparse matrix-vector and matrix-transpose-vector multiplication using compressed sparse blocks (2009) — 457 citations
• Introduction to Algorithms, 3rd Edition (2009) — 1,012 citations
• The Cilk++ concurrency platform (2009) — 392 citations
• Introduction to Algorithms, third edition (2009) — 2,936 citations
• Unbounded transactional memory (2005) — 555 citations
• Introduction to Algorithms, 2nd edition. (2001) — 3,838 citations
• Introduction to Algorithms, Second Edition (2001) — 2,867 citations