Hiranya V. Peiris
Astronomy and Astrophysics · 2003–2020
A researcher in the Science corpus: 34 papers; trusts 12 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Astronomy and Astrophysics — 1,896 citations into it; #3,033 of 10,964 by trust here, #122 by citations
- Nuclear and High Energy Physics — 849 citations into it; #2,350 of 6,161 by trust here, #18 by citations
- Statistics and Probability — 18 citations into it
- Computational Mechanics — 11 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Radiation — 8 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Hiranya V. Peiris trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- W. Kinney
- Samuel Leach
- Andrew R. Liddle
- L. Verde
- Jerome H. Friedman
- David N. Spergel
- A. Lewis
- R. Durrer
- Stéphane Mallat
- Elliott H. Lieb
Who trusts Hiranya V. Peiris overall
- Simon D. M. White
- E. Komatsu
- Lisa J. Kewley
- R. Easther
- A. Zentner
- Volker Bromm
- S. Hannestad
- P. Hopkins
- John H. Wise
- Ariel G. Sánchez
Papers from Hiranya V. Peiris's perspective
Ordered by how strongly the researchers Hiranya V. Peiris trusts endorse each paper. Same corpus, a different order for every researcher.
- AND T
- First-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Preliminary Maps and Basic Results
- Information Theory, Inference, and Learning Algorithms
- Detection of the Baryon Acoustic Peak in the Large-Scale Correlation Function of SDSS Luminous Red Galaxies
- ImageNet classification with deep convolutional neural networks
- The 2dF Galaxy Redshift Survey: power-spectrum analysis of the final data set and cosmological implications
- Cosmological Inflation and Large-Scale Structure: Preface
- Scikit-learn: Machine Learning in Python
- A and V
- Support-Vector Networks
Their papers
- The Dark Energy Survey: Data Release 1 (2018) — 503 citations
- Prospects for fundamental physics with LISA (2020) — 377 citations
- Planck 2018 results (2019) — 819 citations
- Primordial Non-Gaussianity (2019) — 177 citations
- Cosmological Constraints from Galaxy Clustering and Weak Lensing (2018) — 865 citations
- Planck2018 results (2018) — 2,051 citations
- Black holes, gravitational waves and fundamental physics: a roadmap (2018) — 748 citations
- Planck2018 results (2018) — 1,237 citations
- Planck 2018 results (2018) — 5,065 citations
- Dark Energy Survey year 1 results: Cosmological constraints from galaxy clustering and weak lensing (2017) — 213 citations
- The DESI Experiment Part I: Science,Targeting, and Survey Design (2016) — 1,247 citations
- PHOTOMETRIC SUPERNOVA CLASSIFICATION WITH MACHINE LEARNING (2016) — 168 citations
- The DESI Experiment Part II: Instrument Design (2016) — 258 citations
- The Dark Energy Survey: more than dark energy - an overview (2016) — 745 citations
- Planck 2015 results. XVII. Constraints on primordial non-Gaussianity (2015) — 555 citations
- Planck 2015 results. I. Overview of products and scientific results (2015) — 2,116 citations
- Cosmology from cosmic shear with Dark Energy Survey science verification data (2015) — 147 citations
- Planck 2015. XX. Constraints on inflation (2015) — 1,892 citations
- Robust forecasts on fundamental physics from the foreground-obscured, gravitationally-lensed CMB polarization (2015) — 150 citations
- Constraints on primordial non-Gaussianity (2013) — 536 citations