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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} | ||
} | ||
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||
@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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