added links (#27)

Author: eodole

resources.bib

@@ -5,7 +5,8 @@ @article{altekruger2023conditional
   journal = {Transactions on Machine Learning Research},
   issn = {2835-8856},
   awesome-category = {method},
-  awesome-tags = {diagnostics; theory}
+  awesome-tags = {diagnostics; theory},
+  awesome-link-paper = {https://arxiv.org/abs/2303.15845}
 }
 
 @inproceedings{arruda2024anamortized,
@@ -17,7 +18,7 @@ @inproceedings{arruda2024anamortized
   awesome-tldr = {Neural posterior estimation for hierarchical models, where the NPE is used in a first stage on a local level and then repeatedly used for global inference leveraging amortization.},
   awesome-link-paper = {https://openreview.net/forum?id=uCdcXRuHnC},
   awesome-link-code = {https://github.com/arrjon/Amortized-NLME-Models/tree/ICML2024},
-  awesome-tags = {parameter estimation; hierarchical models}
+  awesome-tags = {parameter estimation; hierarchical models},
 }
 
 @misc{bahl2024advancing,
@@ -30,7 +31,8 @@ @misc{bahl2024advancing
   publisher = {arXiv},
   archiveprefix = {arXiv},
   awesome-category = {application},
-  awesome-tags = {physics; simulation-based}
+  awesome-tags = {physics; simulation-based},
+  awesome-link-paper = {https://arxiv.org/abs/2410.07315}
 }
 
 @article{bieringer2021measuring,
@@ -42,7 +44,8 @@ @article{bieringer2021measuring
   pages = {126},
   doi = {10.21468/SciPostPhys.10.6.126},
   awesome-category = {application},
-  awesome-tags = {simulation-based; physics; parameter estimation}
+  awesome-tags = {simulation-based; physics; parameter estimation}, 
+  awesome-link-paper = {https://www.scipost.org/10.21468/SciPostPhys.10.6.126?acad_field_slug=astronomy}
 }
 
 @article{bischoff2024practical,
@@ -52,7 +55,8 @@ @article{bischoff2024practical
   journal = {Transactions on Machine Learning Research},
   issn = {2835-8856},
   awesome-category = {method},
-  awesome-tags = {diagnostics; model evaluation}
+  awesome-tags = {diagnostics; model evaluation}, 
+  awesome-link-paper = {https://openreview.net/forum?id=isEFziui9p}
 }
 
 @misc{cannon2022investigating,
@@ -65,7 +69,8 @@ @misc{cannon2022investigating
   publisher = {arXiv},
   archiveprefix = {arXiv},
   awesome-category = {method},
-  awesome-tags = {diagnostics; misspecification; simulation-based}
+  awesome-tags = {diagnostics; misspecification; simulation-based},
+  awesome-link-paper = {https://arxiv.org/abs/2209.01845}
 }
 
 @article{cranmer2020frontier,
@@ -79,7 +84,8 @@ @article{cranmer2020frontier
   issn = {0027-8424, 1091-6490},
   doi = {10.1073/pnas.1912789117},
   awesome-category = {review},
-  langid = {english}
+  langid = {english},
+  awesome-link-paper = {https://www.pnas.org/doi/abs/10.1073/pnas.1912789117}
 }
 
 @article{dax2023neural,
@@ -104,7 +110,9 @@ @article{dingeldein2024amortized
   pages = {2024.07.23.604154},
   doi = {10.1101/2024.07.23.604154},
   awesome-category = {application},
-  awesome-tags = {biology; simulation-based; parameter estimation}
+  awesome-tags = {biology; simulation-based; parameter estimation},
+  awesome-link-paper = {https://www.biorxiv.org/content/10.1101/2024.07.23.604154v2.abstract}
+
 }
 
 @article{elsemuller2024deep,
@@ -140,7 +148,8 @@ @inproceedings{falkiewicz2023calibrating
   author = {Falkiewicz, Maciej and Takeishi, Naoya and Shekhzadeh, Imahn and Wehenkel, Antoine and Delaunoy, Arnaud and Louppe, Gilles and Kalousis, Alexandros},
   year = {2023},
   awesome-category = {method},
-  awesome-tags = {diagnostics; simulation-based}
+  awesome-tags = {diagnostics; simulation-based},
+  awesome-link-paper = {https://proceedings.neurips.cc/paper_files/paper/2023/file/03a9a9c1e15850439653bb971a4ad4b3-Paper-Conference.pdf}
 }
 
 @inproceedings{foster2021deep,
@@ -151,7 +160,8 @@ @inproceedings{foster2021deep
   volume = {139},
   publisher = {PMLR},
   awesome-category = {method},
-  awesome-tags = {experimental design; adaptive design}
+  awesome-tags = {experimental design; adaptive design},
+  awesome-link-paper = {http://proceedings.mlr.press/v139/foster21a.html}
 }
 
 @article{ghaderi-kangavari2023general,
@@ -166,6 +176,7 @@ @article{ghaderi-kangavari2023general
   doi = {10.1007/s42113-023-00167-4},
   awesome-category = {application},
   awesome-tags = {cognitive modeling; simulation-based; parameter estimation},
+  awesome-link-paper = {https://link.springer.com/article/10.1007/s42113-023-00167-4}
 }
 
 @misc{habermann2024amortized,
@@ -177,7 +188,8 @@ @misc{habermann2024amortized
   publisher = {arXiv},
   archiveprefix = {arXiv},
   awesome-category = {method},
-  awesome-tags = {parameter estimation; hierarchical models; simulation-based}
+  awesome-tags = {parameter estimation; hierarchical models; simulation-based},
+  awesome-link-paper = {https://arxiv.org/abs/2408.13230}
 }
 
 @article{heringhaus2022reliable,
@@ -191,7 +203,8 @@ @article{heringhaus2022reliable
   issn = {1424-8220},
   doi = {10.3390/s22145408},
   awesome-category = {application},
-  awesome-tags = {parameter estimation; simulation-based; engineering}
+  awesome-tags = {parameter estimation; simulation-based; engineering},
+  awesome-link-paper = {https://www.mdpi.com/1424-8220/22/14/5408}
 }
 
 @misc{lavin2022simulation,
@@ -204,7 +217,8 @@ @misc{lavin2022simulation
   primaryclass = {cs},
   publisher = {arXiv},
   archiveprefix = {arXiv},
-  awesome-category = {review}
+  awesome-category = {review},
+  awesome-link-paper = {https://arxiv.org/abs/2112.03235}
 }
 
 @misc{zammit2024neural,
@@ -216,7 +230,8 @@ @misc{zammit2024neural
   primaryclass = {cs},
   publisher = {arXiv},
   archiveprefix = {arXiv},
-  awesome-category = {review}
+  awesome-category = {review},
+  awesome-link-paper = {https://arxiv.org/abs/2404.12484}
 }
 
 @inproceedings{moon2023amortized,
@@ -228,7 +243,8 @@ @inproceedings{moon2023amortized
   publisher = {Association for Computing Machinery},
   doi = {10.1145/3544548.3581439},
   awesome-category = {application},
-  awesome-tags = {human-computer interaction, simulation-based; user interfaces}
+  awesome-tags = {human-computer interaction, simulation-based; user interfaces},
+  awesome-link-paper = {https://dl.acm.org/doi/pdf/10.1145/3544548.3581439}
 }
 
 @article{noever-castelos2022model,
@@ -243,7 +259,8 @@ @article{noever-castelos2022model
   doi = {10.1002/we.2687},
   awesome-category = {application},
   langid = {english},
-  awesome-tags = {simulation-based}
+  awesome-tags = {simulation-based},
+  awesome-link-paper = {https://onlinelibrary.wiley.com/doi/full/10.1002/we.2687}
 }
 
 @article{papamakarios2021normalizing,
@@ -254,7 +271,8 @@ @article{papamakarios2021normalizing
   volume = {22},
   number = {57},
   pages = {1--64},
-  awesome-category = {review}
+  awesome-category = {review},
+  awesome-link-paper = {https://www.jmlr.org/papers/v22/19-1028.html}
 }
 
 @article{radev2021outbreakflow,
@@ -271,7 +289,8 @@ @article{radev2021outbreakflow
   doi = {10.1371/journal.pcbi.1009472},
   awesome-category = {application},
   langid = {english},
-  awesome-tags = {epidemiology; public health; simulation-based}
+  awesome-tags = {epidemiology; public health; simulation-based},
+  awesome-link-paper = {https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1009472}
 }
 
 @article{radev2020bayesflow,
@@ -286,7 +305,8 @@ @article{radev2020bayesflow
   issn = {2162-237X, 2162-2388},
   doi = {10.1109/TNNLS.2020.3042395},
   awesome-category = {method},
-  awesome-tags = {simulation-based; summary learning; parameter estimation}
+  awesome-tags = {simulation-based; summary learning; parameter estimation},
+  awesome-link-paper = {https://ieeexplore.ieee.org/abstract/document/9298920?casa_token=fdTVHBVa5Z4AAAAA:Un2ZODPlovOuoZZaCPLPrBwA58re3eYXPMbBx9u_WAj9PRUJj34W3hTEuSG1osciKgjzZpiS}
 }
 
 @article{radev2023amortized,
@@ -300,7 +320,8 @@ @article{radev2023amortized
   issn = {2162-237X, 2162-2388},
   doi = {10.1109/TNNLS.2021.3124052},
   awesome-category = {method},
-  awesome-tags = {model comparison}
+  awesome-tags = {model comparison},
+  awesome-link-paper = {https://ieeexplore.ieee.org/abstract/document/9612724?casa_token=knr0jyL2bTAAAAAA:Dh8KfjVW9QJympB0c8UbUq8HozJjOw-BPBSdy1g-QUhPskT1IL-cN5RHFHU7EVJNyZnY78Id}
 }
 
 @article{radev2023bayesflow,
@@ -329,7 +350,8 @@ @inproceedings{radev2023jana
   pages = {1695--1706},
   publisher = {PMLR},
   awesome-category = {method},
-  awesome-tags = {joint learning; simulation-based; diagnostics}
+  awesome-tags = {joint learning; simulation-based; diagnostics},
+  awesome-link-paper = {https://proceedings.mlr.press/v216/radev23a.html}
 }
 
 @article{sainsbury-dale2024likelihoodfree,
@@ -344,7 +366,8 @@ @article{sainsbury-dale2024likelihoodfree
   doi = {10.1080/00031305.2023.2249522},
   awesome-category = {method},
   langid = {english},
-  awesome-tags = {parameter estimation; point estimation; simulation-based}
+  awesome-tags = {parameter estimation; point estimation; simulation-based},
+  awesome-link-paper = {https://www.tandfonline.com/doi/full/10.1080/00031305.2023.2249522}
 }
 
 @misc{schmitt2023fuse,
@@ -357,7 +380,8 @@ @misc{schmitt2023fuse
   publisher = {arXiv},
   archiveprefix = {arXiv},
   awesome-category = {method},
-  awesome-tags = {summary learning; parameter estimation}
+  awesome-tags = {summary learning; parameter estimation},
+  awesome-link-paper = {https://arxiv.org/abs/2311.10671}
 }
 
 @inproceedings{schmitt2024amortized,
@@ -367,7 +391,8 @@ @inproceedings{schmitt2024amortized
   year = {2024},
   publisher = {arXiv},
   awesome-category = {method},
-  awesome-tags = {likelihood-based; workflow}
+  awesome-tags = {likelihood-based; workflow},
+  awesome-link-paper = {https://arxiv.org/abs/2409.04332}
 }
 
 @inproceedings{schmitt2024consistency,
@@ -376,7 +401,8 @@ @inproceedings{schmitt2024consistency
   author = {Schmitt, Marvin and Pratz, Valentin and K{\"o}the, Ullrich and B{\"u}rkner, Paul-Christian and Radev, Stefan T.},
   year = {2024},
   awesome-category = {method},
-  awesome-tags = {simulation-based}
+  awesome-tags = {simulation-based},
+  awesome-link-paper = {https://arxiv.org/abs/2312.05440}
 }
 
 @inproceedings{schmitt2024detecting,
@@ -389,7 +415,8 @@ @inproceedings{schmitt2024detecting
   address = {Cham},
   awesome-category = {method},
   isbn = {978-3-031-54605-1},
-  awesome-tags = {diagnostics; workflow}
+  awesome-tags = {diagnostics; workflow},
+  awesome-link-paper = {https://link.springer.com/chapter/10.1007/978-3-031-54605-1_35}
 }
 
 @inproceedings{schmitt2024leveraging,
@@ -403,7 +430,8 @@ @inproceedings{schmitt2024leveraging
   pages = {43723--43741},
   publisher = {PMLR},
   awesome-category = {method},
-  awesome-tags = {likelihood-based; simulation-based}
+  awesome-tags = {likelihood-based; simulation-based},
+  awesome-link-paper = {https://arxiv.org/abs/2310.04395}
 }
 
 @article{schumacher2023neural,
@@ -418,7 +446,8 @@ @article{schumacher2023neural
   doi = {10.1038/s41598-023-40278-3},
   awesome-category = {application},
   langid = {english},
-  awesome-tags = {simulation-based; dynamic modeling; parameter estimation}
+  awesome-tags = {simulation-based; dynamic modeling; parameter estimation},
+  awesome-link-paper = {https://www.nature.com/articles/s41598-023-40278-3}
 }
 
 @inproceedings{sharrock2024sequential,
@@ -432,7 +461,8 @@ @inproceedings{sharrock2024sequential
   pages = {44565--44602},
   publisher = {PMLR},
   awesome-category = {method},
-  awesome-tags = {simulation-based}
+  awesome-tags = {simulation-based},
+  awesome-link-paper = {https://arxiv.org/abs/2210.04872}
 }
 
 @article{shiono2021estimation,
@@ -446,7 +476,8 @@ @article{shiono2021estimation
   doi = {10.1016/j.jedc.2021.104082},
   awesome-category = {application},
   langid = {english},
-  awesome-tags = {agent modeling; simulation-based}
+  awesome-tags = {agent modeling; simulation-based},
+  awesome-link-paper = {https://www.sciencedirect.com/science/article/pii/S0165188921000178?casa_token=lM5bqeFY9-AAAAAA:usisG1ypAZdWNDwk39x_KdFGIvgKXoxYD9x0fukFWDyiqBEtXHaLPRIFhShjyeXdAmvoKgwNmA}
 }
 
 @article{siahkoohi2023reliable,
@@ -461,7 +492,8 @@ @article{siahkoohi2023reliable
   doi = {10.1190/geo2022-0472.1},
   awesome-category = {application},
   langid = {english},
-  awesome-tags = {physics; correction; misspecification}
+  awesome-tags = {physics; correction; misspecification},
+  awesome-link-paper = {https://library.seg.org/doi/abs/10.1190/geo2022-0472.1}
 }
 
 @misc{starostin2024fast,
@@ -474,7 +506,8 @@ @misc{starostin2024fast
   publisher = {arXiv},
   archiveprefix = {arXiv},
   awesome-category = {method},
-  awesome-tags = {physics; meta learning}
+  awesome-tags = {physics; meta learning},
+  awesome-link-paper = {https://arxiv.org/abs/2407.18648}
 }
 
 @article{tejero-cantero2020sbi,
@@ -503,7 +536,8 @@ @inproceedings{tsilifis2022inverse
   awesome-category = {application},
   isbn = {978-1-62410-631-6},
   langid = {english},
-  awesome-tags = {engineering; aerospace; simulation-based}
+  awesome-tags = {engineering; aerospace; simulation-based},
+  awesome-link-paper = {https://arc.aiaa.org/doi/abs/10.2514/6.2022-0631}
 }
 
 @article{vonkrause2022mental,
@@ -518,7 +552,8 @@ @article{vonkrause2022mental
   doi = {10.1038/s41562-021-01282-7},
   awesome-category = {application},
   langid = {english},
-  awesome-tags = {cognitive modeling; parameter estimation}
+  awesome-tags = {cognitive modeling; parameter estimation},
+  awesome-link-paper = {https://www.nature.com/articles/s41562-021-01282-7}
 }
 
 @inproceedings{ward2022robust,
@@ -527,7 +562,8 @@ @inproceedings{ward2022robust
   author = {Ward, Daniel and Cannon, Patrick and Beaumont, Mark and Fasiolo, Matteo and Schmon, Sebastian M.},
   year = {2022},
   awesome-category = {method},
-  awesome-tags = {model evaluation; simulation-based}
+  awesome-tags = {model evaluation; simulation-based},
+  awesome-link-paper = {https://proceedings.neurips.cc/paper_files/paper/2022/hash/db0eac6747e3631eb91095cd76065611-Abstract-Conference.html}
 }
 
 @article{wang2024missing,
@@ -554,7 +590,8 @@ @inproceedings{wehenkel2024simulationbased
   author = {Wehenkel, Antoine and Behrmann, Jens and Miller, Andrew C. and Sapiro, Guillermo and Sener, Ozan and Cameto, Marco Cuturi and Jacobsen, J{\"o}rn-Henrik},
   year = {2024},
   awesome-category = {application},
-  awesome-tags = {medicine; simulation-based; parameter estimation}
+  awesome-tags = {medicine; simulation-based; parameter estimation},
+  awesome-link-paper = {https://arxiv.org/abs/2307.13918}
 }
 
 @inproceedings{wildberger2023flow,
@@ -566,7 +603,8 @@ @inproceedings{wildberger2023flow
   volume = {36},
   pages = {16837--16864},
   awesome-category = {method},
-  awesome-tags = {simulation-based}
+  awesome-tags = {simulation-based},
+  awesome-link-paper = {https://arxiv.org/abs/2305.17161}
 }
 
 @article{zeng2023probabilistic,
@@ -581,7 +619,8 @@ @article{zeng2023probabilistic
   doi = {10.1007/s13349-022-00638-5},
   awesome-category = {application},
   langid = {english},
-  awesome-tags = {structural health monitoring}
+  awesome-tags = {structural health monitoring},
+  awesome-link-paper = {https://link.springer.com/article/10.1007/s13349-022-00638-5}
 }
 
 @inproceedings{zhou2024evaluating,
@@ -590,5 +629,6 @@ @inproceedings{zhou2024evaluating
   author = {Zhou, Lingyi and Radev, Stefan T. and Oliver, William H. and Obreja, Aura and Jin, Zehao and Buck, Tobias},
   year = {2024},
   awesome-category = {application},
-  awesome-tags = {physics; model evaluation; model comparison}
+  awesome-tags = {physics; model evaluation; model comparison},
+  awesome-link-paper = {https://arxiv.org/abs/2410.10606}
 }