Robert J. Brunner
Astronomy and Astrophysics · 2000–2018
A researcher in the Science corpus: 40 papers; trusts 104 researchers and is trusted by 40 researchers here, as inferred from the citation graph.
Subfields
- Astronomy and Astrophysics — 609 citations into it; #1,753 of 10,964 by trust here, #96 by citations
- Instrumentation — 347 citations into it; #2,499 of 3,502 by trust here, #209 by citations
- Electrical and Electronic Engineering — 44 citations into it
- Computational Mechanics — 37 citations into it
- Ecology — 32 citations into it; #4,848 of 10,717 by trust here, #377 by citations
- Artificial Intelligence — 21 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it
- Statistical and Nonlinear Physics — 11 citations into it
Whom Robert J. Brunner trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- David Schlegel
- P. Peebles
- Sander Dieleman
- Kaiming He
- Bernard Walter Silverman
- Niko Speybroeck
- Charu C. Aggarwal
- Yann LeCun
- Gordon Richards
Who trusts Robert J. Brunner overall
Papers from Robert J. Brunner's perspective
Ordered by how strongly the researchers Robert J. Brunner trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
Their papers
- LSST Science Book, Version 2.0 (2009) — 1,420 citations
- Extended Isolation Forest (2018) — 439 citations
- Star-galaxy Classification Using Deep Convolutional Neural Networks (2016) — 174 citations
- The Dark Energy Survey: more than dark energy - an overview (2016) — 745 citations
- Large Synoptic Survey Telescope: Dark Energy Science Collaboration (2012) — 258 citations
- CLUSTERING OF LOW-REDSHIFT (z ⩽ 2.2) QUASARS FROM THE SLOAN DIGITAL SKY SURVEY (2008) — 205 citations
- QUASAR CLUSTERING FROM SDSS DR5: DEPENDENCES ON PHYSICAL PROPERTIES (2008) — 185 citations
- THE SEVENTH DATA RELEASE OF THE SLOAN DIGITAL SKY SURVEY (2008) — 4,349 citations
- The Sloan Digital Sky Survey Quasar Catalog. IV. Fifth Data Release (2007) — 395 citations
- The Fifth Data Release of the Sloan Digital Sky Survey (2007) — 624 citations
- The 2df SDSS LRG and QSO survey: evolution of the luminosity function of luminous red galaxies to z= 0.6 (2006) — 141 citations
- The Sloan Digital Sky Survey Quasar Survey: Quasar Luminosity Function from Data Release 3 (2006) — 701 citations
- Clustering Analyses of 300,000 Photometrically Classified Quasars. I. Luminosity and Redshift Evolution in Quasar Bias (2006) — 164 citations
- The 2dF-SDSS LRG and QSO (2SLAQ) luminous red galaxy survey (2006) — 156 citations
- High redshift detection of the integrated Sachs-Wolfe effect (2006) — 141 citations
- Detection of Cosmic Magnification with the Sloan Digital Sky Survey (2005) — 204 citations
- Active Galactic Nuclei in the Sloan Digital Sky Survey. I. Sample Selection (2005) — 205 citations
- First Measurement of the Clustering Evolution of Photometrically Classified Quasars (2005) — 165 citations
- Binary Quasars in the Sloan Digital Sky Survey: Evidence for Excess Clustering on Small Scales (2005) — 250 citations
- The Fourth Data Release of the Sloan Digital Sky Survey (2005) — 143 citations