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Automatic search for transiting planets in TESS–SPOC FFIs with raven: over 100 newly validated planets and over 2000 vetted candidates
M Lafarga, D J Armstrong, K Cui, A Hadjigeorghiou, V Kunovac, L Doyle, E M Bryant, R F Díaz, L A Nieto and A Osborn Monthly Notices of the Royal Astronomical Society 548(3) (2026) https://doi.org/10.1093/mnras/stag512
Exoplanet transit candidate identification in TESS full-frame images via a transformer-based algorithm
Helem Salinas, Rafael Brahm, Greg Olmschenk, Richard K Barry, Karim Pichara, Stela Ishitani Silva and Vladimir Araujo Monthly Notices of the Royal Astronomical Society 538(3) 2031 (2025) https://doi.org/10.1093/mnras/staf347
Detection of Exoplanets in Transit Light Curves with Conditional Flow Matching and XGBoost
Stefano Fiscale, Alessio Ferone, Angelo Ciaramella, Laura Inno, Massimiliano Giordano Orsini, Giovanni Covone and Alessandra Rotundi Electronics 14(9) 1738 (2025) https://doi.org/10.3390/electronics14091738
Identifying Eclipsing Binary Stars with TESS Data Based on a New Hybrid Deep Learning Model
Ying Shan, Jing Chen, Zichong Zhang, Liang Wang, Zhiqiang Zou and Min Li Publications of the Astronomical Society of the Pacific 137(4) 044503 (2025) https://doi.org/10.1088/1538-3873/adc5a2
Additive Attention for Vetting Transiting Exoplanet Candidates
Heartbeat Stars Recognition Based on Recurrent Neural Networks: Method and Validation
Min-Yu Li, Sheng-Bang Qian, Li-Ying Zhu, Wen-Ping Liao, Lin-Feng Chang, Er-Gang Zhao, Xiang-Dong Shi, Fu-Xing Li, Qi-Bin Sun and Ping Li The Astronomical Journal 170(3) 161 (2025) https://doi.org/10.3847/1538-3881/aded86
ExoMiner++: Enhanced Transit Classification and a New Vetting Catalog for 2-minute TESS Data
Hamed Valizadegan, Miguel J. S. Martinho, Jon M. Jenkins, Joseph D. Twicken, Douglas A. Caldwell, Patrick Maynard, Hongbo Wei, William Zhong, Charles Yates, Sam Donald, Karen A. Collins, David Latham, Khalid Barkaoui, Michael L. Calkins, Kylee Carden, Nikita Chazov, Gilbert A. Esquerdo, Tristan Guillot, Vadim Krushinsky, Grzegorz Nowak, Benjamin V. Rackham, Amaury Triaud, Richard P. Schwarz, Denise Stephens, Chris Stockdale, et al. The Astronomical Journal 170(5) 287 (2025) https://doi.org/10.3847/1538-3881/ae03a4
Accelerating Long-period Exoplanet Discovery by Combining Deep Learning and Citizen Science
Shreshth A. Malik, Nora L. Eisner, Ian R. Mason, Sofia Platymesi, Suzanne Aigrain, Stephen J. Roberts, Yarin Gal and Chris J. Lintott The Astronomical Journal 170(1) 39 (2025) https://doi.org/10.3847/1538-3881/add46d
Deep Learning to Classify Exoplanet Light Curves in Kepler and TESS
LEO-Vetter: Fully Automated Flux- and Pixel-level Vetting of TESS Planet Candidates to Support Occurrence Rates
Michelle Kunimoto, Steve Bryson, Drayson Jaffee, Jason F. Rowe, Tansu Daylan, Steven Giacalone, Jack J. Lissauer, Michael R. B. Matesic, Susan E. Mullally and Yoshi Nike Emilia Eschen The Astronomical Journal 170(5) 280 (2025) https://doi.org/10.3847/1538-3881/ae070a
A search for transiting exocomets in TESS sectors 1–26
Azib Norazman, Grant M Kennedy, Ann Marie Cody, Daniel Giles, Samuel Gill and Ethan Kruse Monthly Notices of the Royal Astronomical Society 542(2) 1486 (2025) https://doi.org/10.1093/mnras/staf1298
The GPU phase folding and deep learning method for detecting exoplanet transits
Kaitlyn Wang, Jian Ge, Kevin Willis, Kevin Wang and Yinan Zhao Monthly Notices of the Royal Astronomical Society 528(3) 4053 (2024) https://doi.org/10.1093/mnras/stae245
Stellar Classification with Vision Transformer and SDSS Photometric Images
DIAmante TESS AutoRegressive Planet Search (DTARPS). I. Analysis of 0.9 Million Light Curves
Elizabeth J. Melton, Eric D. Feigelson, Marco Montalto, Gabriel A. Caceres, Andrew W. Rosenswie and Cullen S. Abelson The Astronomical Journal 167(5) 202 (2024) https://doi.org/10.3847/1538-3881/ad29f0
Identifying Exoplanet Candidates Using WaveCeptionNet
Huiping Liao, Guangyue Ren, Xinghao Chen, Yuxiang Li and Guangwei Li The Astronomical Journal 167(4) 180 (2024) https://doi.org/10.3847/1538-3881/ad298f
Stefano Fiscale, Laura Inno, Angelo Ciaramella, Alessio Ferone, Alessandra Rotundi, Pasquale De Luca, Ardelio Galletti, Livia Marcellino and Giovanni Covone 360 127 (2023) https://doi.org/10.1007/978-981-99-3592-5_12
Identifying Exoplanets with Deep Learning. V. Improved Light-curve Classification for TESS Full-frame Image Observations
Evan Tey, Dan Moldovan, Michelle Kunimoto, Chelsea X. Huang, Avi Shporer, Tansu Daylan, Daniel Muthukrishna, Andrew Vanderburg, Anne Dattilo, George R. Ricker and S. Seager The Astronomical Journal 165(3) 95 (2023) https://doi.org/10.3847/1538-3881/acad85
Stellar classification with convolutional neural networks and photometric images: a new catalogue of 50 million SDSS stars without spectra
Lessons learned from the 1st Ariel Machine Learning Challenge: Correcting transiting exoplanet light curves for stellar spots
Nikolaos Nikolaou, Ingo P Waldmann, Angelos Tsiaras, Mario Morvan, Billy Edwards, Kai Hou Yip, Alexandra Thompson, Giovanna Tinetti, Subhajit Sarkar, James M Dawson, Vadim Borisov, Gjergji Kasneci, Matej Petković, Tomaž Stepišnik, Tarek Al-Ubaidi, Rachel Louise Bailey, Michael Granitzer, Sahib Julka, Roman Kern, Patrick Ofner, Stefan Wagner, Lukas Heppe, Mirko Bunse, Katharina Morik and Luís F Simões RAS Techniques and Instruments 2(1) 695 (2023) https://doi.org/10.1093/rasti/rzad050
Distinguishing a planetary transit from false positives: a Transformer-based classification for planetary transit signals
Helem Salinas, Karim Pichara, Rafael Brahm, Francisco Pérez-Galarce and Domingo Mery Monthly Notices of the Royal Astronomical Society 522(3) 3201 (2023) https://doi.org/10.1093/mnras/stad1173
AI-ready data in space science and solar physics: problems, mitigation and action plan
Bala Poduval, R. L. McPherron, R. Walker, M. D. Himes, K. M. Pitman, A. R. Azari, C. Shneider, A. K. Tiwari, S. Kapali, G. Bruno, M. K. Georgoulis, O. Verkhoglyadova, J. E. Borovsky, G. Lapenta, J. Liu, T. Alberti, P. Wintoft and S. Wing Frontiers in Astronomy and Space Sciences 10 (2023) https://doi.org/10.3389/fspas.2023.1203598
ExoplANNET: A deep learning algorithm to detect and identify planetary signals in radial velocity data
Hunting for exocomet transits in the TESS database using the Random Forest method
D. V. DOBRYCHEVA, M. YU. VASYLENKO, I. V. KULYK, YA. V. PAVLENKO, O. S. SHUBINA, I. V. LUK’YANYK and P. P. KORSUN Kosmìčna nauka ì tehnologìâ 29(6) 68 (2023) https://doi.org/10.15407/knit2023.06.068
The evolution of barred galaxies in the EAGLE simulations
Mitchell K Cavanagh, Kenji Bekki, Brent A Groves and Joel Pfeffer Monthly Notices of the Royal Astronomical Society 510(4) 5164 (2022) https://doi.org/10.1093/mnras/stab3786
Radio Galaxy Zoo: giant radio galaxy classification using multidomain deep learning
H Tang, A M M Scaife, O I Wong and S S Shabala Monthly Notices of the Royal Astronomical Society 510(3) 4504 (2022) https://doi.org/10.1093/mnras/stab3553
Companion mass limits for 17 binary systems obtained with binary differential imaging and MagAO/Clio
Logan A Pearce, Jared R Males, Alycia J Weinberger, Joseph D Long, Katie M Morzinski, Laird M Close and Philip M Hinz Monthly Notices of the Royal Astronomical Society 515(3) 4487 (2022) https://doi.org/10.1093/mnras/stac2056
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Identifying Exoplanets with Deep Learning. IV. Removing Stellar Activity Signals from Radial Velocity Measurements Using Neural Networks
Zoe. L. de Beurs, Andrew Vanderburg, Christopher J. Shallue, Xavier Dumusque, Andrew Collier Cameron, Christopher Leet, Lars A. Buchhave, Rosario Cosentino, Adriano Ghedina, Raphaëlle D. Haywood, Nicholas Langellier, David W. Latham, Mercedes López-Morales, Michel Mayor, Giusi Micela, Timothy W. Milbourne, Annelies Mortier, Emilio Molinari, Francesco Pepe, David F. Phillips, Matteo Pinamonti, Giampaolo Piotto, Ken Rice, Dimitar Sasselov, Alessandro Sozzetti, et al. The Astronomical Journal 164(2) 49 (2022) https://doi.org/10.3847/1538-3881/ac738e
Identify Light-curve Signals with Deep Learning Based Object Detection Algorithm. I. Transit Detection
ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier That Validates 301 New Exoplanets
Hamed Valizadegan, Miguel J. S. Martinho, Laurent S. Wilkens, Jon M. Jenkins, Jeffrey C. Smith, Douglas A. Caldwell, Joseph D. Twicken, Pedro C. L. Gerum, Nikash Walia, Kaylie Hausknecht, Noa Y. Lubin, Stephen T. Bryson and Nikunj C. Oza The Astrophysical Journal 926(2) 120 (2022) https://doi.org/10.3847/1538-4357/ac4399
Shallow Transits—Deep Learning. II. Identify Individual Exoplanetary Transits in Red Noise using Deep Learning
Automated identification of transiting exoplanet candidates in NASA Transiting Exoplanets Survey Satellite (TESS) data with machine learning methods
Leon Ofman, Amir Averbuch, Adi Shliselberg, Idan Benaun, David Segev and Aron Rissman New Astronomy 91 101693 (2022) https://doi.org/10.1016/j.newast.2021.101693
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Photometric search for exomoons by using convolutional neural networks
Exoplanet validation with machine learning: 50 new validated Kepler planets
David J Armstrong, Jevgenij Gamper and Theodoros Damoulas Monthly Notices of the Royal Astronomical Society 504(4) 5327 (2021) https://doi.org/10.1093/mnras/staa2498
Peeking inside the Black Box: Interpreting Deep-learning Models for Exoplanet Atmospheric Retrievals
Kai Hou Yip, Quentin Changeat, Nikolaos Nikolaou, Mario Morvan, Billy Edwards, Ingo P. Waldmann and Giovanna Tinetti The Astronomical Journal 162(5) 195 (2021) https://doi.org/10.3847/1538-3881/ac1744
A survey on machine learning based light curve analysis for variable astronomical sources
Ce Yu, Kun Li, Yanxia Zhang, Jian Xiao, Chenzhou Cui, Yihan Tao, Shanjiang Tang, Chao Sun and Chongke Bi WIREs Data Mining and Knowledge Discovery 11(5) (2021) https://doi.org/10.1002/widm.1425
Identifying potential exomoon signals with convolutional neural networks
Nigraha: Machine-learning-based pipeline to identify and evaluate planet candidates from TESS
Sriram Rao, Ashish Mahabal, Niyanth Rao and Cauligi Raghavendra Monthly Notices of the Royal Astronomical Society 502(2) 2845 (2021) https://doi.org/10.1093/mnras/stab203
Detrending Exoplanetary Transit Light Curves with Long Short-term Memory Networks
Image-based Classification of Variable Stars: First Results from Optical Gravitational Lensing Experiment Data
T. Szklenár, A. Bódi, D. Tarczay-Nehéz, K. Vida, G. Marton, Gy. Mező, A. Forró and R. Szabó The Astrophysical Journal Letters 897(1) L12 (2020) https://doi.org/10.3847/2041-8213/ab9ca4