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| 1 | +% rebiber -i main.bib |
| 2 | +% https://flamingtempura.github.io/bibtex-tidy/index.html |
| 3 | +% bibtex-tidy --omit=abstract --curly --months --align=20 --sort=year,key --duplicates=key,doi,citation,abstract --merge=overwrite --sort-fields --trailing-commas --encode-urls --no-tidy-comments --remove-empty-fields main.bib |
| 4 | +
|
| 5 | +@article{sorokin.QMC_IS_QMCPy, |
| 6 | + title = {({Q}uasi-){M}onte {C}arlo Importance Sampling with {QMCPy}}, |
| 7 | + author = {Sorokin, Aleksei G. and Hickernell, Fred J. and Choi, Sou-Cheng T. and McCourt, Michael J. and Rathinavel, Jagadeeswaran}, |
| 8 | + year = {2021}, |
| 9 | + journal = {IIT Undergraduate Research Journal}, |
| 10 | + pages = {49--54}, |
| 11 | + url = {http://urj.library.iit.edu/index.php/urj/article/view/48}, |
| 12 | +} |
| 13 | + |
| 14 | +@inproceedings{choi.challenges_great_qmc_software, |
| 15 | + title = {Challenges in developing great quasi-{M}onte {C}arlo software}, |
| 16 | + author = {Choi, Sou-Cheng T. and Ding, Yuhan and Hickernell, Fred J. and Rathinavel, Jagadeeswaran and Sorokin, Aleksei G.}, |
| 17 | + year = {2022}, |
| 18 | + booktitle = {{M}onte {C}arlo and Quasi-{M}onte {C}arlo Methods 2022}, |
| 19 | + pages = {209--222}, |
| 20 | + editor = {Hinrichs, Aicke and Kritzer, Peter and Pillichshammer, Friedrich}, |
| 21 | + organization = {Springer}, |
| 22 | +} |
| 23 | + |
| 24 | +@inproceedings{choi.QMC_software, |
| 25 | + title = {Quasi-{M}onte {C}arlo software}, |
| 26 | + author = {Choi, Sou-Cheng T. and Hickernell, Fred J. and Rathinavel, Jagadeeswaran and McCourt, Michael J. and Sorokin, Aleksei G.}, |
| 27 | + year = {2022}, |
| 28 | + booktitle = {{M}onte {C}arlo and Quasi-{M}onte {C}arlo Methods 2020}, |
| 29 | + publisher = {Springer International Publishing}, |
| 30 | + address = {Cham}, |
| 31 | + pages = {23--47}, |
| 32 | + isbn = {978-3-030-98319-2}, |
| 33 | + editor = {Keller, Alexander}, |
| 34 | +} |
| 35 | + |
| 36 | +@inproceedings{sorokin.MC_vector_functions_integrals, |
| 37 | + title = {On bounding and approximating functions of multiple expectations using quasi-{M}onte {C}arlo}, |
| 38 | + author = {Sorokin, Aleksei G. and Rathinavel, Jagadeeswaran}, |
| 39 | + year = {2022}, |
| 40 | + booktitle = {{M}onte {C}arlo and Quasi-{M}onte {C}arlo Methods 2022}, |
| 41 | + pages = {583--599}, |
| 42 | + editor = {Hinrichs, Aicke and Kritzer, Peter and Pillichshammer, Friedrich}, |
| 43 | + organization = {Springer}, |
| 44 | +} |
| 45 | + |
| 46 | +@misc{FastGaussianProcesses.jl, |
| 47 | + title = {Fast{G}aussian{P}rocesses.jl}, |
| 48 | + author = {Aleksei G. Sorokin}, |
| 49 | + year = {2023}, |
| 50 | + url = {https://github.com/alegresor/FastGaussianProcesses.jl}, |
| 51 | +} |
| 52 | + |
| 53 | +@article{GalCEM.software, |
| 54 | + title = {Gal{CEM}: galactic chemical evolution model}, |
| 55 | + author = {Gjergo, Eda and Sorokin, Aleksei G. and Ruth, Anthony and Spitoni, Emanuele and Matteucci, Francesca and Fan, Xilong and Liang, Jinning and Limongi, Marco and Yamazaki, Yuta and Kusakabe, Motohiko and others}, |
| 56 | + year = {2023}, |
| 57 | + journal = {Astrophysics Source Code Library}, |
| 58 | + pages = {ascl--2301}, |
| 59 | +} |
| 60 | + |
| 61 | +@misc{gjergo.GalCEM1, |
| 62 | + title = {Gal{CEM}. {I}. {A}n Open-source Detailed Isotopic Chemical Evolution Code}, |
| 63 | + author = {Eda Gjergo and Aleksei G. Sorokin and Anthony Ruth and Emanuele Spitoni and Francesca Matteucci and Xilong Fan and Jinning Liang and Marco Limongi and Yuta Yamazaki and Motohiko Kusakabe and Toshitaka Kajino}, |
| 64 | + year = {2023}, |
| 65 | + journal = {The Astrophysical Journal Supplement Series}, |
| 66 | + publisher = {The American Astronomical Society}, |
| 67 | + volume = {264}, |
| 68 | + number = {2}, |
| 69 | + pages = {44}, |
| 70 | + doi = {10.3847/1538-4365/aca7c7}, |
| 71 | + url = {https://dx.doi.org/10.3847/1538-4365/aca7c7}, |
| 72 | +} |
| 73 | + |
| 74 | +@misc{QMCGenerators.jl, |
| 75 | + title = {{QMCG}enerators.jl}, |
| 76 | + author = {Aleksei G. Sorokin}, |
| 77 | + year = {2023}, |
| 78 | + url = {https://github.com/alegresor/QMCGenerators.jl}, |
| 79 | +} |
| 80 | + |
| 81 | +@misc{QuasiGaussianProcesses.jl, |
| 82 | + title = {Quasi{G}aussian{P}rocesses.jl}, |
| 83 | + author = {Aleksei G. Sorokin}, |
| 84 | + year = {2023}, |
| 85 | + url = {https://github.com/alegresor/QuasiGaussianProcesses.jl}, |
| 86 | +} |
| 87 | + |
| 88 | +@article{sorokin.adaptive_prob_failure_GP, |
| 89 | + title = {Credible intervals for probability of failure with {G}aussian processes}, |
| 90 | + author = {Aleksei G. Sorokin and Vishwas Rao}, |
| 91 | + year = {2023}, |
| 92 | + journal = {ArXiv preprint}, |
| 93 | + volume = {abs/2311.07733}, |
| 94 | + url = {https://arxiv.org/abs/2311.07733}, |
| 95 | +} |
| 96 | + |
| 97 | +@article{sorokin.sigopt_mulch, |
| 98 | + title = {Sig{O}pt {M}ulch: an intelligent system for {A}uto{ML} of gradient boosted trees}, |
| 99 | + author = {Aleksei G. Sorokin and Xinran Zhu and Eric Hans Lee and Bolong Cheng}, |
| 100 | + year = {2023}, |
| 101 | + journal = {Knowledge-Based Systems}, |
| 102 | + pages = {110604}, |
| 103 | + doi = {10.1016/j.knosys.2023.110604}, |
| 104 | + issn = {0950-7051}, |
| 105 | + url = {https://www.sciencedirect.com/science/article/pii/S0950705123003544}, |
| 106 | +} |
| 107 | + |
| 108 | +@article{sorokin.gp4darcy, |
| 109 | + title = {Computationally efficient and error aware surrogate construction for numerical solutions of subsurface flow through porous media}, |
| 110 | + author = {Aleksei G. Sorokin and Aleksandra Pachalieva and Daniel O'Malley and James M. Hyman and Fred J. Hickernell and Nicolas W. Hengartner}, |
| 111 | + year = {2024}, |
| 112 | + journal = {Advances in Water Resources}, |
| 113 | + volume = {193}, |
| 114 | + pages = {104836}, |
| 115 | + doi = {10.1016/j.advwatres.2024.104836}, |
| 116 | + issn = {0309-1708}, |
| 117 | + url = {https://www.sciencedirect.com/science/article/pii/S0309170824002239}, |
| 118 | +} |
| 119 | + |
| 120 | +@inproceedings{sorokin.RTE_DeepONet, |
| 121 | + title = {A neural surrogate solver for radiation transfer}, |
| 122 | + author = {Aleksei G. Sorokin and Xiaoyi Lu and Yi Wang}, |
| 123 | + year = {2024}, |
| 124 | + booktitle = {NeurIPS 2024 Workshop on Data-Driven and Differentiable Simulations, Surrogates, and Solvers}, |
| 125 | + url = {https://openreview.net/forum?id=SHidR8UMKo}, |
| 126 | +} |
| 127 | + |
| 128 | +@book{bacho.CHONKNORIS.tmp, |
| 129 | + title = {Operator learning at machine precision}, |
| 130 | + author = {Aras Bacho and Aleksei G. Sorokin and Xianjin Yang and Th\'{e}o Bourdais and Edoardo Calvello and Matthieu Darcy and Alexander Hsu and Bamdad Hosseini and Houman Owhadi}, |
| 131 | + year = {2025}, |
| 132 | + note = {In preparation}, |
| 133 | +} |
| 134 | + |
| 135 | +@article{gjergo2025massive, |
| 136 | + title = {Massive star formation at supersolar metallicities: constraints on the initial mass function}, |
| 137 | + author = {Gjergo, Eda and Zhang, Zhiyu and Kroupa, Pavel and Sorokin, Aleksei G. and Yan, Zhiqiang and Guo, Ziyi and Jerabkova, Tereza and Zoonozi, Akram Hasani and Haghi, Hosein}, |
| 138 | + year = {2025}, |
| 139 | + journal = {ArXiv preprint}, |
| 140 | + volume = {abs/2509.20440}, |
| 141 | + url = {https://arxiv.org/abs/2509.20440}, |
| 142 | +} |
| 143 | + |
| 144 | +@article{hickernell.qmc_what_why_how, |
| 145 | + title = {Quasi-{M}onte {C}arlo methods: what, why, and how?}, |
| 146 | + author = {Fred J. Hickernell and Nathan Kirk and Aleksei G. Sorokin}, |
| 147 | + year = {2025}, |
| 148 | + journal = {ArXiv preprint}, |
| 149 | + volume = {abs/2502.03644}, |
| 150 | + url = {https://arxiv.org/abs/2502.03644}, |
| 151 | +} |
| 152 | + |
| 153 | +@article{jain.bernstein_betting_confidence_intervals, |
| 154 | + title = {Empirical {B}ernstein and betting confidence intervals for randomized quasi-{M}onte {C}arlo}, |
| 155 | + author = {Aadit Jain and Fred J. Hickernell and Art B. Owen and Aleksei G. Sorokin}, |
| 156 | + year = {2025}, |
| 157 | + journal = {ArXiv preprint}, |
| 158 | + volume = {abs/2504.18677}, |
| 159 | + url = {https://arxiv.org/abs/2504.18677}, |
| 160 | +} |
| 161 | + |
| 162 | +@article{sorokin.2025.ld_randomizations_ho_nets_fast_kernel_mats, |
| 163 | + title = {{QMCPy}: a {P}ython software for randomized low-discrepancy sequences, quasi-{M}onte {C}arlo, and fast kernel methods}, |
| 164 | + author = {Aleksei G. Sorokin}, |
| 165 | + year = {2025}, |
| 166 | + journal = {ArXiv preprint}, |
| 167 | + volume = {abs/2502.14256}, |
| 168 | + url = {https://arxiv.org/abs/2502.14256}, |
| 169 | +} |
| 170 | + |
| 171 | +@article{sorokin.FastBayesianMLQMC, |
| 172 | + title = {Fast {B}ayesian multilevel quasi-{M}onte {C}arlo}, |
| 173 | + author = {Aleksei G. Sorokin and Pieterjan Robbe and Gianluca Geraci and Michael S. Eldred and Fred J. Hickernell}, |
| 174 | + year = {2025}, |
| 175 | + journal = {ArXiv preprint}, |
| 176 | + volume = {abs/2510.24604}, |
| 177 | + url = {https://arxiv.org/abs/2510.24604}, |
| 178 | +} |
| 179 | + |
| 180 | +@inproceedings{sorokin.fastgps_probnum25, |
| 181 | + title = {Fast {G}aussian process regression for high dimensional functions with derivative information}, |
| 182 | + author = {Sorokin, Aleksei G. and Robbe, Pieterjan and Hickernell, Fred J.}, |
| 183 | + year = {2025}, |
| 184 | + booktitle = {Proceedings of the First International Conference on Probabilistic Numerics}, |
| 185 | + publisher = {{PMLR}}, |
| 186 | + series = {Proceedings of Machine Learning Research}, |
| 187 | + volume = {271}, |
| 188 | + pages = {35--49}, |
| 189 | + url = {https://proceedings.mlr.press/v271/sorokin25a.html}, |
| 190 | + editor = {Kanagawa, Motonobu and Cockayne, Jon and Gessner, Alexandra and Hennig, Philipp}, |
| 191 | + pdf = {https://raw.githubusercontent.com/mlresearch/v271/main/assets/sorokin25a/sorokin25a.pdf}, |
| 192 | +} |
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