2632-2153

Machine Learning Science and Technology

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Your prioritized action plan

Ordered by how many DOIs each fix touches — start here, not with every error at once.

1

Add abstracts to 42 articles

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Low impact42 DOIs
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Deposit reference lists for 28 records

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Low impact28 DOIs
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Attach ORCID iDs across 14 articles

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DOIs for this ISSN

Showing the top 5 of 1402 DOIs, ordered by correction priority.

# Title Missing Priority Citations
1 Regularised atomic body-ordered permutation-invariant polyno… (10.1088/2632-2153/ab527c)
Abstract References
87.79 56
2 A deep neural network to search for new long-lived particles… (10.1088/2632-2153/ab9023)
Abstract ORCID
80.10 39
3 The MLIP package: moment tensor potentials with MPI and acti… (10.1088/2632-2153/abc9fe)
Abstract
66.73 466
4 Constraining the Reionization History using Bayesian Normali… (10.1088/2632-2153/aba6f1)
Abstract ORCID
62.76 17
5 A neural network for determination of latent dimensionality… (10.1088/2632-2153/aba372)
Abstract References
58.80 14
6 Graph neural networks in particle physics (10.1088/2632-2153/abbf9a)
Abstract
55.95 172
7 Enhancing gravitational-wave science with machine learning (10.1088/2632-2153/abb93a)
Abstract
55.63 167
8 On the role of gradients for machine learning of molecular e… (10.1088/2632-2153/abba6f)
Abstract
51.03 109
9 <tt>i- flow</tt>: High-dimensional integration and sampling… (10.1088/2632-2153/abab62)
Abstract
48.73 88
10 Compressing deep neural networks on FPGAs to binary and tern… (10.1088/2632-2153/aba042)
Abstract
47.16 76
11 Neural predictor based quantum architecture search (10.1088/2632-2153/ac28dd)
Abstract
46.43 71
12 Classical versus quantum models in machine learning: insight… (10.1088/2632-2153/ab9009)
Abstract
43.90 56
13 Deeply uncertain: comparing methods of uncertainty quantific… (10.1088/2632-2153/aba6f3)
Abstract
42.47 49
14 Core-Collapse supernova gravitational-wave search and deep l… (10.1088/2632-2153/ab7d31)
Abstract
39.78 38
15 iDQ: Statistical inference of non-gaussian noise with auxili… (10.1088/2632-2153/abab5f)
Abstract
39.49 37
16 A path towards quantum advantage in training deep generative… (10.1088/2632-2153/aba220)
Abstract
38.60 34
17 Synergizing medical imaging and radiotherapy with deep learn… (10.1088/2632-2153/ab869f)
Abstract
36.56 28
18 Convolutional neural network classifier for the output of th… (10.1088/2632-2153/ab86c7)
Abstract
34.95 24
19 Improving the segmentation of scanning probe microscope imag… (10.1088/2632-2153/abc81c)
Abstract
34.95 24
20 Randomized algorithms for fast computation of low rank tenso… (10.1088/2632-2153/abad87)
Abstract
32.53 19
21 A hybrid classical-quantum workflow for natural language pro… (10.1088/2632-2153/abbd2e)
Abstract
32.53 19
22 DeepRICH: learning deeply Cherenkov detectors (10.1088/2632-2153/ab845a)
Abstract
30.76 16
23 Decoding the shift-invariant data: applications for band-exc… (10.1088/2632-2153/ac28de)
Abstract
27.85 12
24 Reinforcement learning enhanced quantum-inspired algorithm f… (10.1088/2632-2153/abc328)
Abstract
26.98 11
25 Improving surrogate model accuracy for the LCLS-II injector… (10.1088/2632-2153/ac27ff)
Abstract
26.98 11
26 The probabilistic tensor decomposition toolbox (10.1088/2632-2153/ab8241)
Abstract
26.03 10
27 Wasserstein metric for improved quantum machine learning wit… (10.1088/2632-2153/aba048)
Abstract
26.03 10
28 On the impact of selected modern deep-learning techniques to… (10.1088/2632-2153/ab983a)
Abstract
23.86 8
29 InfoCGAN classification of 2D square Ising configurations (10.1088/2632-2153/abcc45)
Abstract
22.58 7
30 Entangled q-convolutional neural nets (10.1088/2632-2153/ac2800)
Abstract
19.45 5
31 Predicting polarizabilities of silicon clusters using local… (10.1088/2632-2153/ac2cfe)
Abstract
17.47 4
32 Evidential deep learning for uncertainty quantification and… (10.1088/2632-2153/ade51b)
References
17.47 4
33 Hierarchical Auxiliary Learning (10.1088/2632-2153/aba7b3)
Abstract
15.05 3
34 Erratum: Improving the generative performance of chemical au… (10.1088/2632-2153/abe194)
Abstract References
15.05 1
35 SIDDA: SInkhorn Dynamic Domain Adaptation for image classifi… (10.1088/2632-2153/adf701)
References
15.05 3
36 Physics instrument design with Reinforcement Learning (10.1088/2632-2153/adf7ff)
References
15.05 3
37 Simultaneous energy and mass calibration of large-radius jet… (10.1088/2632-2153/ad611e)
ORCID
11.93 2
38 Predicting nonequilibrium Green's function dynamics and phot… (10.1088/2632-2153/ada9b8)
References
11.93 2
39 BenchMake: Turn Any Scientific Data Set into a Reproducible… (10.1088/2632-2153/adf810)
References
11.93 2
40 Conditional Diffusion-Flow models for generating 3D cosmic d… (10.1088/2632-2153/adf8b1)
References
11.93 2
41 Uncertainty quantification in graph neural networks with sha… (10.1088/2632-2153/ae0bf0)
ORCID
11.93 2
42 Quantum computation with machine-learning-controlled quantum… (10.1088/2632-2153/abb215)
Abstract
7.53 1
43 <i>In situ</i> compression artifact removal in scientific da… (10.1088/2632-2153/abc326)
Abstract
7.53 1
44 Corrigendum: Impact of non-normal error distributions on the… (10.1088/2632-2153/abc350)
Abstract
7.53 1
45 Quadratic hyper-surface kernel-free large margin distributio… (10.1088/2632-2153/ad40fc)
ORCID
7.53 1
46 Wasserstein normalized autoencoder for anomaly detection (10.1088/2632-2153/ae6168)
ORCID
7.53 1
47 Embedding human heuristics in machine-learning-enabled probe… (10.1088/2632-2153/ab42ec)
0.00 23
48 Reinforcement learning for semi-autonomous approximate quant… (10.1088/2632-2153/ab43b4)
0.00 18
49 Repetitive readout enhanced by machine learning (10.1088/2632-2153/ab4e24)
0.00 28
50 Improving the background of gravitational-wave searches for… (10.1088/2632-2153/ab527d)
0.00 35