@@ -4,7 +4,7 @@ @article{scikit-learn
44 and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P.
55 and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and
66 Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.} ,
7- journal = { J. Mach. Learn. Res. } ,
7+ journal = { Journal of Machine Learning Research } ,
88 volume = { 12} ,
99 pages = { 2825--2830} ,
1010 year = { 2011} ,
@@ -29,7 +29,7 @@ @article{pykoopman
2929@inproceedings {dlkoopman ,
3030 author = { Sourya Dey and Eric William Davis} ,
3131 title = { {DLKoopman: A deep learning software package for Koopman theory}} ,
32- booktitle = { Proc. Mach. Learn. Res. } ,
32+ booktitle = { Proceedings of Machine Learning Research } ,
3333 pages = { 1467--1479} ,
3434 volume = { 211} ,
3535 publisher = { {PMLR}} ,
@@ -53,13 +53,13 @@ @article{dahdah_system_2022
5353 author = { Steven Dahdah and James R. Forbes} ,
5454 title = { System norm regularization methods for {Koopman} operator
5555 approximation} ,
56- journal = { Proc. R. Soc. A} ,
56+ journal = { Proceedings of the Royal Society A} ,
5757}
5858
5959@article {dahdah_2024_closed-loop ,
6060 title = { Closed-loop {Koopman} operator approximation} ,
6161 author = { Dahdah, Steven and Forbes, James Richard} ,
62- journal = { Mach. Learn.: Sci. Technol. } ,
62+ journal = { Machine Learning: Science and Technology } ,
6363 volume = { 5} ,
6464 number = { 2} ,
6565 pages = { 025038} ,
@@ -89,9 +89,13 @@ @article{lortie_2024_asymptotically
8989 title = { Asymptotically Stable Data-Driven {Koopman} Operator Approximation
9090 with Inputs using Total Extended {DMD}} ,
9191 author = { Lortie, Louis and Forbes, James Richard} ,
92- year = { 2024} ,
93- journaltitle = { {\tt arXiv:2408.16846v1[eess.SY]}} ,
94- doi = { 10.48550/arXiv.2408.16846} ,
92+ journal = { Machine Learning: Science and Technology} ,
93+ volume = { 6} ,
94+ number = { 1} ,
95+ pages = { 015003} ,
96+ year = { 2025} ,
97+ publisher = { {IOP} Publishing} ,
98+ doi ={ 10.1088/2632-2153/ada33b} ,
9599}
96100
97101@misc {pykoop ,
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