Create paper.bib

paper.bib

@@ -0,0 +1,128 @@
+@article{Chen:2021euv,
+ author = "Chen, Yifan and others",
+ title = "{A FAIR and AI-ready Higgs boson decay dataset}",
+ eprint = "2108.02214",
+ archivePrefix = "arXiv",
+ primaryClass = "hep-ex",
+ doi = "10.1038/s41597-021-01109-0",
+ month = "8",
+ year = "2021"
+}
+
+@incollection{NEURIPS2019_9015, 
+ title = {PyTorch: An Imperative Style, High-Performance Deep Learning Library}, 
+ author = {Paszke, Adam and Gross, Sam and Massa, Francisco and Lerer, Adam and Bradbury, James and Chanan, Gregory and Killeen, Trevor and Lin, Zeming and Gimelshein, Natalia and Antiga, Luca and Desmaison, Alban and Kopf, Andreas and Yang, Edward and DeVito, Zachary and Raison, Martin and Tejani, Alykhan and Chilamkurthy, Sasank and Steiner, Benoit and Fang, Lu and Bai, Junjie and Chintala, Soumith}, 
+ booktitle = {Advances in Neural Information Processing Systems},
+ volume = {32}
+ pages = {8024}, 
+ year = {2019},
+ eprint = {1912.01703},
+ archivePrefix = {arXiv},
+ publisher = {Curran Associates, Inc.}, 
+ url = {http://papers.neurips.cc/paper/9015-pytorch-an-imperative-style-high-performance-deep-learning-library.pdf},
+ editor = {H. Wallach and H. Larochelle and A. Beygelzimer and F. d\textquotesingle Alch\'{e}-Buc and E. Fox and R. Garnett}
+ }
+
+
+@article{Hao:2022zns,
+ author = "Hao, Zichun and Kansal, Raghav and Duarte, Javier and Chernyavskaya, Nadezda",
+ title = "{Lorentz group equivariant autoencoders}",
+ eprint = "2212.07347",
+ archivePrefix = "arXiv",
+ primaryClass = "hep-ex",
+ reportNumber = "FERMILAB-PUB-22-963-V",
+ doi = "10.1140/epjc/s10052-023-11633-5",
+ journal = "Eur. Phys. J. C",
+ volume = "83",
+ number = "6",
+ pages = "485",
+ year = "2023"
+}
+
+@inproceedings{Kansal:2021cqp,
+ archiveprefix = {arXiv},
+ author = {Kansal, Raghav and Duarte, Javier and Su, Hao and Orzari, Breno and Tomei, Thiago and Pierini, Maurizio and Touranakou, Mary and Vlimant, Jean-Roch and Gunopulos, Dimitrios},
+ booktitle = {{Advances in Neural Information Processing Systems}},
+ eprint = {2106.11535},
+ month = {12},
+ primaryclass = {cs.LG},
+ publisher = {Curran Associates, Inc.},
+ title = {Particle Cloud Generation with Message Passing Generative Adversarial Networks},
+ url = {https://papers.neurips.cc/paper_files/paper/2021/file/c8512d142a2d849725f31a9a7a361ab9-Paper.pdf},
+ volume = {34},
+ year = {2021}
+}
+
+@article{Kansal:2022spb,
+ author = "Kansal, Raghav and Li, Anni and Duarte, Javier and Chernyavskaya, Nadezda and Pierini, Maurizio and Orzari, Breno and Tomei, Thiago",
+ title = "{Evaluating generative models in high energy physics}",
+ eprint = "2211.10295",
+ archivePrefix = "arXiv",
+ primaryClass = "hep-ex",
+ reportNumber = "FERMILAB-PUB-22-872-CMS-PPD",
+ doi = "10.1103/PhysRevD.107.076017",
+ journal = "Phys. Rev. D",
+ volume = "107",
+ number = "7",
+ pages = "076017",
+ year = "2023"
+}
+
+@article{Buhmann:2023pmh,
+ author = "Buhmann, Erik and Kasieczka, Gregor and Thaler, Jesse",
+ title = "{EPiC-GAN: Equivariant Point Cloud Generation for Particle Jets}",
+ eprint = "2301.08128",
+ archivePrefix = "arXiv",
+ primaryClass = "hep-ph",
+ reportNumber = "MIT-CTP 5519",
+ month = "1",
+ year = "2023"
+}
+
+@article{Kach:2023rqw,
+ author = {K{\"}ach, Benno and Melzer-Pellmann, Isabell},
+ title = "{Attention to Mean-Fields for Particle Cloud Generation}",
+ eprint = "2305.15254",
+ archivePrefix = "arXiv",
+ primaryClass = "hep-ex",
+ month = "5",
+ year = "2023"
+}
+
+@article{Kach:2022uzq,
+ author = {K{\"}ach, Benno and Kr{\"u}cker, Dirk and Melzer-Pellmann, Isabell},
+ title = "{Point Cloud Generation using Transformer Encoders and Normalising Flows}",
+ eprint = "2211.13623",
+ archivePrefix = "arXiv",
+ primaryClass = "hep-ex",
+ month = "11",
+ year = "2022"
+}
+
+@article{Leigh:2023toe,
+ author = "Leigh, Matthew and Sengupta, Debajyoti and Qu\'etant, Guillaume and Raine, John Andrew and Zoch, Knut and Golling, Tobias",
+ title = "{PC-JeDi: Diffusion for Particle Cloud Generation in High Energy Physics}",
+ eprint = "2303.05376",
+ archivePrefix = "arXiv",
+ primaryClass = "hep-ph",
+ month = "3",
+ year = "2023"
+}
+
+@article{Mikuni:2023dvk,
+ author = "Mikuni, Vinicius and Nachman, Benjamin and Pettee, Mariel",
+ title = "{Fast Point Cloud Generation with Diffusion Models in High Energy Physics}",
+ eprint = "2304.01266",
+ archivePrefix = "arXiv",
+ primaryClass = "hep-ph",
+ month = "4",
+ year = "2023"
+}
+
+@software{jax2018github,
+ author = {James Bradbury and Roy Frostig and Peter Hawkins and Matthew James Johnson and Chris Leary and Dougal Maclaurin and George Necula and Adam Paszke and Jake Vander{P}las and Skye Wanderman-{M}ilne and Qiao Zhang},
+ title = {{JAX}: composable transformations of {P}ython+{N}um{P}y programs},
+ url = {http://github.com/google/jax},
+ version = {0.3.13},
+ year = {2018},
+}