Peter Leonard McMahon
Artificial Intelligence · 2010–2023
A researcher in the Science corpus: 10 papers; trusts 52 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 140 citations into it
- Atomic and Molecular Physics, and Optics — 89 citations into it
- Electrical and Electronic Engineering — 82 citations into it
- Computational Theory and Mathematics — 21 citations into it
- Computer Vision and Pattern Recognition — 14 citations into it
- Optimization & Training — 12 citations into it
- Condensed Matter Physics — 9 citations into it
- Statistical and Nonlinear Physics — 8 citations into it
Whom Peter Leonard McMahon trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Emanuel Knill
- Edward Farhi
- David A. B. Miller
- Logan G. Wright
- Bhavin J. Shastri
- Gordon Wetzstein
- Yazhen Wang
- Andrew Lucas
- Sara Hooker
- Kerry J. Vahala
Who trusts Peter Leonard McMahon overall
Papers from Peter Leonard McMahon's perspective
Ordered by how strongly the researchers Peter Leonard McMahon trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern 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
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- A fully programmable 100-spin coherent Ising machine with all-to-all connections (2016) — 693 citations
- Ising machines as hardware solvers of combinatorial optimization problems (2022) — 614 citations
- Deep physical neural networks trained with backpropagation (2021) — 729 citations
- The physics of optical computing (2023) — 378 citations
- Quantum Filter Diagonalization: Quantum Eigendecomposition without Full Quantum Phase Estimation (2019) — 138 citations
- Experimental investigation of performance differences between coherent Ising machines and a quantum annealer (2018) — 374 citations
- A coherent Ising machine for 2000-node optimization problems (2016) — 805 citations
- Quantum-dot spin–photon entanglement via frequency downconversion to telecom wavelength (2012) — 501 citations
- Ultrafast coherent control and suppressed nuclear feedback of a single quantum dot hole qubit (2011) — 216 citations
- Ultrafast optical spin echo in a single quantum dot (2010) — 313 citations