- 
								[1]
								J. Cogan, M. Kagan, E. Strauss et al., JHEP 02, 118 (2015) 
- 
								[2]
								L. G. Almeida, M. Backović, M. Cliche et al., JHEP 07, 086 (2015) 
- 
								[3]
								L. de Oliveira, M. Kagan, L. Mackey et al., JHEP 07, 069 (2016) 
- 
								[4]
								P. Baldi, K. Cranmer, T. Faucett et al., Eur. Phys. J. C 76(5), 235 (2016) 
- 
								[5]
								P. T. Komiske, E. M. Metodiev, and M. D. Schwartz, JHEP 01, 110 (2017) 
- 
								[6]
								G. Kasieczka, T. Plehn, M. Russell et al., JHEP 05, 006 (2017) 
- 
								[7]
								L. M. Dery, B. Nachman, F. Rubbo et al., JHEP 05, 145 (2017) 
- 
								[8]
								G. Louppe, K. Cho, C. Becot et al., JHEP 01, 057 (2019) 
- 
								[9]
								A. Butter, G. Kasieczka, T. Plehn et al., SciPost Phys. 5(3), 028 (2018) 
- 
								[10]
								E. M. Metodiev, B. Nachman, and J. Thaler, JHEP 10, 174 (2017) 
- 
								[11]
								J. A. Aguilar-Saavedra, J. H. Collins, and R. K. Mishra, JHEP 11, 163 (2017) 
- 
								[12]
								L. Moore, K. Nordström, S. Varma et al., SciPost Phys. 7(3), 036 (2019) 
- 
								[13]
								T. Heimel, G. Kasieczka, T. Plehn et al., SciPost Phys. 6(3), 030 (2019) 
- 
								[14]
								P. T. Komiske, E. M. Metodiev, and J. Thaler, JHEP 01, 121 (2019) 
- 
								[15]
								H. Qu and L. Gouskos, Phys. Rev. D 101(5), 056019 (2020) 
- 
								[16]
								A. Butter et al., SciPost Phys. 7, 014 (2019) 
- 
								[17]
								E. A. Moreno, O. Cerri, J. M. Duarte et al., Eur. Phys. J. C 80(1), 58 (2020) 
- 
								[18]
								Y. C. J. Chen, C. W. Chiang, G. Cottin et al., Phys. Rev. D 101(5), 053001 (2020) 
- 
								[19]
								V. Mikuni and F. Canelli, Eur. Phys. J. Plus 135(6), 463 (2020) 
- 
								[20]
								J. S. H. Lee, I. Park, I. J. Watson et al., J. Korean Phys. Soc. 84, 427 (2024) 
- 
								[21]
								F. A. Dreyer and H. Qu, JHEP 03, 052 (2021) 
- 
								[22]
								L. Anzalone, T. Diotalevi, and D. Bonacorsi, (2022). DOI: 10.1088/2632-2153/ac917c 
- 
								[23]
								S. K. Choi, J. Li, C. Zhang et al., Phys. Rev. D 108(11), 116002 (2023) 
- 
								[24]
								A. Elwood, D. Krücker, and M. Shchedrolosiev, J. Phys. Conf. Ser. 1525, 012110 (2020) 
- 
								[25]
								P. Baldi, P. Sadowski, and D. Whiteson, Nature Commun. 5, 4308 (2014) 
- 
								[26]
								A. Aurisano, A. Radovic, D. Rocco et al., JINST 11(09), P09001 (2016) 
- 
								[27]
								W. Bhimji, S. A. Farrell, T. Kurth et al., J. Phys. Conf. Ser. 1085(4), 042034 (2018) 
- 
								[28]
								P. Abratenko et al., Phys. Rev. D 103(9), 092003 (2021) 
- 
								[29]
								J. Li, T. Li, and F. Z. Xu, JHEP 04, 156 (2021) 
- 
								[30]
								Y. Zhu, H. Liang, Y. Wang et al., Eur. Phys. J. C 84(2), 152 (2024) 
- 
								[31]
								E. Buhmann, C. Ewen, G. Kasieczka et al., Phys. Rev. D 109(5), 055015 (2024) 
- 
								[32]
								S. Song, J. Chen, J. Liu et al., JINST 19(04), P04033 (2024) 
- 
								[33]
								C. L. Cheng, G. Singh, and B. Nachman, Incorporating Physical Priors into Weakly-Supervised Anomaly Detection, (2024), arXiv: 2405.08889 
- 
								[34]
								C. Li et al., Accelerating Resonance Searches via Signature-Oriented Pre-training, (2024), arXiv: 2405.12972 
- 
								[35]
								L. de Oliveira, M. Paganini, and B. Nachman, Comput. Softw. Big Sci. 1(1), 4 (2017) 
- 
								[36]
								M. Paganini, L. de Oliveira, and B. Nachman, Phys. Rev. Lett. 120(4), 042003 (2018) 
- 
								[37]
								M. Paganini, L. de Oliveira, and B. Nachman, Phys. Rev. D 97(1), 014021 (2018) 
- 
								[38]
								P. Baldi, L. Blecher, A. Butter et al., SciPost Phys. 13(3), 064 (2022) 
- 
								[39]
								C. Jiang, S. Qian, and H. Qu, SciPost Phys. 18, 195 (2025) 
- 
								[40]
								D. Kobylianskii, N. Soybelman, E. Dreyer et al., Phys. Rev. D 110, 072003 (2024) 
- 
								[41]
								M. Feickert and B. Nachman, A Living Review of Machine Learning for Particle Physics, (2021), arXiv: 2102.02770 
- 
								[42]
								J. Alwall, R. Frederix, S. Frixione et al., JHEP 07, 079 (2014) 
- 
								[43]
								T. Sjöstrand, S. Ask, J.R. Christiansen et al., Comput. Phys. Commun. 191, 159 (2015) 
- 
								[44]
								J. de Favereau, C. Delaere, P. Demin et al., JHEP 02, 057 (2014) 
- 
								[45]
								R. Brun, F. Rademakers, P. Canal et al., root-project/root: v6.18/02, (2020), DOI: https://doi.org/10.5281/zenodo. 3895860 
- 
								[46]
								J. Ansel, E. Yang, H. He et al., in 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2 (ASPLOS ’24) (ACM, 2024). DOI: 10.1145/3620665.3640366. URL https://pytorch.org/assets/pytorch2-2.pdf 
- 
								[47]
								M. Abadi, A. Agarwal, P. Barham et al., TensorFlow: Large-scale machine learning on heterogeneous systems, (2015). URL https://www.tensorflow.org/. Software available from tensorflow.org 
- 
								[48]
								L. Benato et al., Comput. Softw. Big Sci. 6(1), 9 (2022) 
- 
								[49]
								Y. C. Guo, F. Feng, A. Di et al., Comput. Phys. Commun. 294, 108957 (2024) 
- 
								[50]
								J. Brehmer, F. Kling, I. Espejo et al., Comput. Softw. Big Sci. 4(1), 3 (2020) 
- 
								[51]
								J. Brehmer, K. Cranmer, I. Espejo et al., J. Phys. Conf. Ser. 1525(1), 012022 (2020) 
- 
								[52]
								J. Pivarski, P. Das, C. Burr et al., scikit-hep/uproot: 3.12.0, (2020). DOI: https://doi.org/10.5281/zenodo.3952728 
- 
								[53]
								F. Chollet et al., Keras. https://keras.io (2015) 
- 
								[54]
								J. Pivarski, I. Osborne, I. Ifrim et al., Awkward Array, (2018). DOI: https://doi.org/10.5281/zenodo.4341376 
- 
								[55]
								A. J. Larkoski, I. Moult, and B. Nachman, Phys. Rept. 841, 1 (2020) 
- 
								[56]
								A. Das, P. Konar, and A. Thalapillil, JHEP 02, 083 (2018) 
- 
								[57]
								A. Bhardwaj, A. Das, P. Konar et al., J. Phys. G 47(7), 075002 (2020) 
- 
								[58]
								S. Chakraborty, M. Mitra, and S. Shil, Phys. Rev. D 100(1), 015012 (2019) 
- 
								[59]
								L. Buonocore, U. Haisch, P. Nason et al., Phys. Rev. Lett. 125(23), 231804 (2020) 
- 
								[60]
								V. S. Ngairangbam, A. Bhardwaj, P. Konar et al., Eur. Phys. J. C 80(11), 1055 (2020) 
- 
								[61]
								L. Buitinck, G. Louppe, M. Blondel et al., in ECML PKDD Workshop: Languages for Data Mining and Machine Learning, (2013), pp. 108–122 
- 
								[62]
								A. Hocker et al., TMVA - Toolkit for Multivariate Data Analysis, (2007) 
- 
								[63]
								T. Chen and C. Guestrin, in Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (ACM, New York, NY, USA, 2016), KDD’16, pp. 785–794. DOI: 10.1145/2939672. 2939785 
- 
								[64]
								M. Guillame-Bert, S. Bruch, R. Stotz et al., in Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023, (2023), pp. 4068–4077. DOI: 10.1145/3580305.3599933