Physics & Astronomy

62 cases, highest importance first. Mean importance 5.1. Combined citations 7,094.

Industries quantum computing 7 astronomy 7 gravitational-wave astronomy 5 computational chemistry 5 particle physics 4 space weather 4 high-energy physics 3 radio astronomy 3 cosmology 2 space weather forecasting 2 astrophysics 2 gravitational wave astrophysics 1

#	Paper	Year	Citations	Importance
1	Learning high-accuracy error decoding for quantum processors Johannes Bausch, Andrew Senior, Francisco J. H. Heras, Thomas Edlich,...	2024	90	7
2	Simultaneous discovery of quantum error correction codes and encoders with a noise-aware reinforcement learning agent Jan Ollé, Remmy A. M. Zen, Matteo Ballerini Puviani, Florian Marquardt	2024	23	7
3	Improved particle-flow event reconstruction with scalable neural networks for current and future particle detectors Joosep Pata, Eric Wulff, Farouk Mokhtar, David Southwick, Mengke Zhang...	2024	9	7
4	Quantum Error Correction with Quantum Autoencoders David F. Locher, Lorenzo Cardarelli, Markus Michael Müller	2023	36	7
5	Space-based gravitational wave signal detection and extraction with deep neural network Tianyu Zhao, Ruoxi Lyu, He Wang, Zhoujian Cao, Zhixiang Ren	2023	35	7
6	Magnetic control of tokamak plasmas through deep reinforcement learning Jonas Degrave, Federico Felici, Jonas Buchli, Michael Neunert, Brendan...	2022	739	7
7	Machine learning for continuous quantum error correction on superconducting qubits Ian Convy, Haoran Liao, Song Zhang, Sahil Patel, William P. Livingston...	2022	21	7
8	Detecting an axion-like particle with machine learning at the LHC Jie Ren, Daohan Wang, Lei Wu, Jin Min Yang, Mengchao Zhang	2021	31	7
9	Deep Learning for Gravitational-Wave Data Analysis: A Resampling White-Box Approach Manuel D. Morales, Javier Mauricio Antelis, Claudia Moreno, Alexander...	2021	1	7
10	Optimizing Quantum Error Correction Codes with Reinforcement Learning Hendrik Poulsen Nautrup, Nicolas Delfosse, Vedran Dunjko, Hans J. Brie...	2019	158	7
11	Machine-learning-assisted correction of correlated qubit errors in a topological code Paul Baireuther, Thomas E. O’Brien, Brian Tarasinski, C. W. J. Beenakk...	2018	141	7
12	Solving the quantum many-body problem with artificial neural networks Giuseppe Carleo, Matthias Troyer	2017	2,205	7
13	GSpyNetTree: a signal-vs-glitch classifier for gravitational-wave event candidates S. Álvarez-López, Annudesh Liyanage, Julian Ding, Raymond T. Ng, J. Mc...	2024	14	6
14	CONNECT: a neural network based framework for emulating cosmological observables and cosmological parameter inference Andreas Nygaard, Emil Brinch Holm, Steen Hannestad, Thomas Tram	2023	49	6
15	An unsupervised deep learning model for dense velocity field reconstruction in particle image velocimetry (PIV) measurements Wei Zhang, Xue yan Dong, Zhiwei Sun, Shuogui Xu	2023	24	6
16	Machine Learning for Particle Flow Reconstruction at CMS Joosep Pata, Javier Mauricio Duarte, Farouk Mokhtar, Eric Wulff, J. Yo...	2023	19	6
17	Solar Flare Forecast Using 3D Convolutional Neural Networks Pengchao Sun, Wei Dai, Weiqi Ding, Song Feng, Yanmei Cui, Bo Liang, Ze...	2022	25	6
18	Complete parameter inference for GW150914 using deep learning Stephen Green, J. R. Gair	2021	112	6
19	Quantum-inspired machine learning on high-energy physics data Timo Felser, Marco Trenti, L. Sestini, A. Gianelle, D. Zuliani, Donate...	2021	46	6
20	Deep Learning for Line Intensity Mapping Observations: Information Extraction from Noisy Maps Kana Moriwaki, Masato Shirasaki, Naoki Yoshida	2021	18	6
21	Exploring gravitational-wave detection and parameter inference using deep learning methods João D Álvares, José A. Font, Felipe F Freitas, Osvaldo G Freitas, Ant...	2021	21	6
22	Galaxy morphological classification in deep-wide surveys via unsupervised machine learning Garreth Martin, Sugata Kaviraj, A Hocking, S. Read, J. E. Geach	2019	87	6
23	Image-based deep learning for classification of noise transients in gravitational wave detectors Massimiliano Razzano, E. Cuoco	2018	96	6
24	Scientific Domain Knowledge Improves Exoplanet Transit Classification with Deep Learning Megan Ansdell, Yani Ioannou, Hugh P. Osborn, Michele Sasdelli, (2018 N...	2018	77	6
25	PHOTOMETRIC SUPERNOVA CLASSIFICATION WITH MACHINE LEARNING Michelle Lochner, Jason D. McEwen, Hiranya V. Peiris, O. Lahav, Max Ke...	2016	195	6
26	SymbolNet: neural symbolic regression with adaptive dynamic pruning for compression Ho Fung Tsoi, Vladimir Lončar, S. Dasu, Philip Coleman Harris	2025	13	5
27	The future of cosmological likelihood-based inference: accelerated high-dimensional parameter estimation and model comparison Davide Piras, Alicja Polanska, A. Spurio Mancini, Matthew A. Price, Ja...	2024	19	5
28	Amplitude scintillation detection with geodetic GNSS receivers leveraging machine learning decision tree Wang Li, Yiping Jiang, Hongyuan Ji, Wenqiang Wei	2024	12	5
29	Application of Machine Learning Ensemble Methods to ASTRI Mini-Array Cherenkov Event Reconstruction Antonio Pagliaro, G. Cusumano, A. La Barbera, Valentina La Parola, Sav...	2023	11	5
30	Probabilistic Solar Proxy Forecasting With Neural Network Ensembles Joshua D. Daniell, Piyush M. Mehta	2023	12	5
31	Learning to simulate high energy particle collisions from unlabeled data J. Howard, Stephan Mandt, Daniel Whiteson, Yibo Yang	2022	40	5
32	Photometric Classification of Early-time Supernova Light Curves with SCONE Helen Qu, Masao Sako	2022	24	5
33	GlitchNet: A Glitch Detection and Removal System for SEIS Records Based on Deep Learning Wuchuan Xu, Qiwen Zhu, Li Zhao	2022	20	5
34	Recurrent neural network-based volumetric fluorescence microscopy Luzhe Huang, Hanlong Chen, Yilin Luo, Yair Rivenson, Aydogan Ozcan	2021	41	5
35	AI Feynman: a physics-inspired method for symbolic regression Silviu‐Marian Udrescu, Max Tegmark	2020	1,074	5
36	Neural network based model for global Total Electron Content forecasting Claudio Cesaroni, Luca Spogli, Àngela Aragón‐Ángel, Michele Fiocca, Va...	2020	92	5
37	Using principal component analysis for neural network high-dimensional potential energy surface Bastien Casier, S. Carniato, Tsveta Miteva, Nathalie Capron, Nicolas S...	2020	14	5
38	Quantum error correction for the toric code using deep reinforcement learning Philip Andreasson, Joel Johansson, Simon Liljestrand, Mats Granath	2019	94	5
39	Forecasting the <i>Dst</i> index using a swarm‐optimized neural network Juan A. Lazzús, Pedro Vega, P. Rojas, Ignacio Salfate	2017	62	5
40	Evaluating machine learning models for supernova gravitational wave signal classification Y. Sultan Abylkairov, Matthew C Edwards, Daniil Orel, Ayan Mitra, Bekd...	2024	7	4
41	Classification of Low Earth Orbit (LEO) Resident Space Objects’ (RSO) Light Curves Using a Support Vector Machine (SVM) and Long Short-Term Memory (LSTM) Randa Qashoa, Regina Lee	2023	27	4
42	Uncertainty Quantification for Machine Learning‐Based Ionosphere and Space Weather Forecasting: Ensemble, Bayesian Neural Network, and Quantile Gradient Boosting Randa Natraš, Benedikt S. Soja, Michael F. Schmidt	2023	17	4
43	Unsupervised Machine Learning for Exploratory Data Analysis of Exoplanet Transmission Spectra Konstantin T Matchev, Katia Matcheva, Alexander Roman	2022	22	4
44	Quantum machine learning for particle physics using a variational quantum classifier Andrew Blance, Michael Spannowsky	2021	87	4
45	Particle reconstruction of volumetric particle image velocimetry with the strategy of machine learning Qi Gao, Shaowu Pan, Hongping Wang, Runjie Wei, Jinjun Wang	2021	43	4
46	Exoplanet detection using machine learning Abhishek Malik, Benjamin P. Moster, Christian Obermeier	2021	36	4
47	Using machine learning for transient classification in searches for gravitational-wave counterparts C. Stachie, M. W. Coughlin, Nelson L Christensen, Daniel Muthukrishna	2020	18	4
48	Classification of gravitational-wave glitches via dictionary learning Miquel Llorens-Monteagudo, Alejandro Torres-Forné, José A. Font, Anton...	2019	24	4
49	Identifying Exoplanets with Deep Learning: A Five-planet Resonant Chain around Kepler-80 and an Eighth Planet around Kepler-90 Christopher J. Shallue, Andrew M. Vanderburg	2018	368	4
50	Permutation invariant polynomial neural network approach to fitting potential energy surfaces. IV. Coupled diabatic potential energy matrices Changjian Xie, Xiaolei Zhu, David R. Yarkony, Hua Guo	2018	90	4
51	A Machine Learning Classifier for Fast Radio Burst Detection at the VLBA Kiri L. Wagstaff, Benyang Tang, David R. Thompson, Shakeh Khudikyan, J...	2016	44	4
52	UNSUPERVISED CLUSTERING OF TYPE II SUPERNOVA LIGHT CURVES Adam Rubin, Avishay Gal‐Yam	2016	42	4
53	Permutation invariant polynomial neural network approach to fitting potential energy surfaces. III. Molecule-surface interactions Bin Jiang, Hua Guo	2014	151	4
54	Comparison of neural network and support vector machine methods for Kp forecasting Eun‐Young Ji, Yong‐Jae Moon, Jongyeob Park, Jin‐Yi Lee, Dong‐Hun Lee	2013	45	4
55	Explaining deep learning of galaxy morphology with saliency mapping Prabh Bhambra, Benjamin Joachimi, O. Lahav	2022	28	3
56	Quantifying uncertainty in deep learning approaches to radio galaxy classification Devina Mohan, Anna M. M. Scaife, Fiona Porter, Mike Walmsley, Micah Bo...	2022	16	3
57	Experimental velocity data estimation for imperfect particle images using machine learning Masaki Morimoto, Kai Fukami, Koji Fukagata	2021	96	3
58	Neural network potential energy surface for the low temperature ring polymer molecular dynamics of the H2CO + OH reaction Pablo del Mazo‐Sevillano, Alfredo Aguado, Octavio Roncero	2021	25	3
59	Radio Galaxy Zoo: giant radio galaxy classification using multidomain deep learning Hongming Tang, Anna M. M. Scaife, O. Ivy Wong, Stanislav S. Shabala	2021	n/a	3
60	Bars formed in galaxy merging and their classification with deep learning M. K. Cavanagh, K. Bekki	2020	29	3
61	Machine Learning Techniques for Stellar Light Curve Classification Trisha A. Hinners, Kevin Tat, Rachel Thorp	2018	55	3
62	Vibrational energies for HFCO using a neural network sum of exponentials potential energy surface Ekadashi Pradhan, Alex Brown	2016	24	2

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