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2024-05-07-elaborating-on-the-value-of-flow-matching-for-density-estimation
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@misc{dax_flow_2023,
title = {Flow {{Matching}} for {{Scalable Simulation-Based Inference}}},
author = {Dax, Maximilian and Wildberger, Jonas and Buchholz, Simon and Green, Stephen R. and Macke, Jakob H. and Sch{\"o}lkopf, Bernhard},
year = {2023},
month = may,
number = {arXiv:2305.17161},
eprint = {2305.17161},
primaryclass = {cs},
publisher = {{arXiv}},
urldate = {2023-07-03},
archiveprefix = {arxiv},
keywords = {density-estimation,in-progress,normalizing-flows,sbi}
}

@misc{lipman_flow_2023,
title = {Flow {{Matching}} for {{Generative Modeling}}},
author = {Lipman, Yaron and Chen, Ricky T. Q. and {Ben-Hamu}, Heli and Nickel, Maximilian and Le, Matt},
year = {2023},
month = feb,
number = {arXiv:2210.02747},
eprint = {2210.02747},
primaryclass = {cs, stat},
publisher = {{arXiv}},
urldate = {2023-10-19},
archiveprefix = {arxiv},
keywords = {density-estimation,in-progress,normalizing-flows}
}

@misc{papamakarios_normalizing_2019,
title = {Normalizing {{Flows}} for {{Probabilistic Modeling}} and {{Inference}}},
author = {Papamakarios, George and Nalisnick, Eric and Jimenez Rezende, Danilo and Mohamed, Shakir and Lakshminarayanan, Balaji},
year = {2019},
month = dec,
journal = {arXiv e-prints},
urldate = {2022-12-16},
keywords = {in-progress,normalizing-flows,sbi},
annotation = {ADS Bibcode: 2019arXiv191202762P}
}

@inproceedings{tong_improving_2023,
title = {Improving and {{Generalizing Flow-Based Generative Models}} with {{Minibatch Optimal Transport}}},
booktitle = {{{ICML}} 2023 {{Workshop}} on {{New Frontiers}} in {{Learning}}, {{Control}}, and {{Dynamical Systems}}},
author = {Tong, Alexander and Malkin, Nikolay and Huguet, Guillaume and Zhang, Yanlei and {Rector-Brooks}, Jarrid and Fatras, Kilian and Wolf, Guy and Bengio, Yoshua},
year = {2023},
month = jul,
urldate = {2023-11-07},
langid = {english},
keywords = {density-estimation,in-progress,normalizing-flows}
}

@inproceedings{chen_neural_2018,
title = {Neural {{Ordinary Differential Equations}}},
booktitle = {Advances in {{Neural Information Processing Systems}}},
author = {Chen, Ricky T. Q. and Rubanova, Yulia and Bettencourt, Jesse and Duvenaud, David K},
year = {2018},
month = dec,
volume = {31},
eprint = {1806.07366},
publisher = {{Curran Associates, Inc.}},
urldate = {2023-11-14},
archiveprefix = {arxiv}
}

@misc{papamakarios_normalizing_2019,
title = {Normalizing {{Flows}} for {{Probabilistic Modeling}} and {{Inference}}},
author = {Papamakarios, George and Nalisnick, Eric and Jimenez Rezende, Danilo and Mohamed, Shakir and Lakshminarayanan, Balaji},
year = {2019},
month = dec,
journal = {arXiv e-prints},
urldate = {2022-12-16},
keywords = {in-progress,normalizing-flows,sbi},
annotation = {ADS Bibcode: 2019arXiv191202762P}
}

@article{cranmer_frontier_2020,
title = {The Frontier of Simulation-Based Inference},
author = {Cranmer, Kyle and Brehmer, Johann and Louppe, Gilles},
year = {2020},
month = dec,
journal = {Proceedings of the National Academy of Sciences},
volume = {117},
number = {48},
pages = {30055--30062},
issn = {0027-8424, 1091-6490},
doi = {10.1073/pnas.1912789117},
urldate = {2022-12-08},
langid = {english},
keywords = {read,sbi},
annotation = {presentation: https://indico.fnal.gov/event/48241/contributions/210577/attachments/140930/177293/talk-glouppe-clariphy.pdf}
}

@article{papamakarios_fast_2016,
title = {Fast {$\epsilon$}-Free {{Inference}} of {{Simulation Models}} with {{Bayesian Conditional Density Estimation}}},
author = {Papamakarios, George and Murray, Iain},
year = {2016},
publisher = {{arXiv}},
doi = {10.48550/ARXIV.1605.06376},
urldate = {2023-01-16},
copyright = {arXiv.org perpetual, non-exclusive license},
keywords = {read,sbi,sbi-posterior}
}

@misc{lueckmann_benchmarking_2021,
title = {Benchmarking {{Simulation-Based Inference}}},
author = {Lueckmann, Jan-Matthis and Boelts, Jan and Greenberg, David S. and Gon{\c c}alves, Pedro J. and Macke, Jakob H.},
year = {2021},
month = apr,
number = {arXiv:2101.04653},
eprint = {2101.04653},
primaryclass = {cs, stat},
publisher = {{arXiv}},
urldate = {2022-12-16},
archiveprefix = {arxiv},
keywords = {read,sbi}
}
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