<?xml version="1.0"?>
<dblpperson name="Calypso Herrera" pid="246/5047" n="8">
<person key="homepages/246/5047" mdate="2019-08-09">
<author pid="246/5047">Calypso Herrera</author>
</person>
<r><article key="journals/tmlr/HerreraKKRT23" mdate="2024-08-01">
<author pid="246/5047">Calypso Herrera</author>
<author pid="264/0076">Florian Krach</author>
<author pid="227/2208">Anastasis Kratsios</author>
<author pid="246/4890">Pierre Ruyssen</author>
<author pid="99/9501">Josef Teichmann</author>
<title>Denise: Deep Robust Principal Component Analysis for Positive Semidefinite Matrices.</title>
<year>2023</year>
<volume>2023</volume>
<journal>Trans. Mach. Learn. Res.</journal>
<ee type="oa">https://openreview.net/forum?id=D45gGvUZp2</ee>
<url>db/journals/tmlr/tmlr2023.html#HerreraKKRT23</url>
</article>
</r>
<r><article key="journals/tnn/BaesHNR23" mdate="2023-01-31">
<author orcid="0000-0001-5482-4556" pid="63/8437">Michel Baes</author>
<author pid="246/5047">Calypso Herrera</author>
<author orcid="0000-0001-5500-5245" pid="223/5063">Ariel Neufeld</author>
<author pid="246/4890">Pierre Ruyssen</author>
<title>Low-Rank Plus Sparse Decomposition of Covariance Matrices Using Neural Network Parametrization.</title>
<pages>171-185</pages>
<year>2023</year>
<volume>34</volume>
<journal>IEEE Trans. Neural Networks Learn. Syst.</journal>
<number>1</number>
<ee>https://doi.org/10.1109/TNNLS.2021.3091598</ee>
<url>db/journals/tnn/tnn34.html#BaesHNR23</url>
</article>
</r>
<r><inproceedings key="conf/iclr/HerreraKT21" mdate="2022-10-02">
<author pid="246/5047">Calypso Herrera</author>
<author orcid="0000-0001-7478-8361" pid="264/0076">Florian Krach</author>
<author pid="99/9501">Josef Teichmann</author>
<title>Neural Jump Ordinary Differential Equations: Consistent Continuous-Time Prediction and Filtering.</title>
<year>2021</year>
<booktitle>ICLR</booktitle>
<ee type="oa">https://openreview.net/forum?id=JFKR3WqwyXR</ee>
<crossref>conf/iclr/2021</crossref>
<url>db/conf/iclr/iclr2021.html#HerreraKT21</url>
</inproceedings>
</r>
<r><article publtype="informal" key="journals/corr/abs-2104-13669" mdate="2021-05-04">
<author pid="246/5047">Calypso Herrera</author>
<author pid="264/0076">Florian Krach</author>
<author pid="246/4890">Pierre Ruyssen</author>
<author pid="99/9501">Josef Teichmann</author>
<title>Optimal Stopping via Randomized Neural Networks.</title>
<year>2021</year>
<volume>abs/2104.13669</volume>
<journal>CoRR</journal>
<ee type="oa">https://arxiv.org/abs/2104.13669</ee>
<url>db/journals/corr/corr2104.html#abs-2104-13669</url>
</article>
</r>
<r><article publtype="informal" key="journals/corr/abs-2004-13135" mdate="2020-05-03">
<author pid="246/5047">Calypso Herrera</author>
<author pid="264/0076">Florian Krach</author>
<author pid="99/9501">Josef Teichmann</author>
<title>Estimating Full Lipschitz Constants of Deep Neural Networks.</title>
<year>2020</year>
<volume>abs/2004.13135</volume>
<journal>CoRR</journal>
<ee type="oa">https://arxiv.org/abs/2004.13135</ee>
<url>db/journals/corr/corr2004.html#abs-2004-13135</url>
</article>
</r>
<r><article publtype="informal" key="journals/corr/abs-2004-13612" mdate="2020-05-03">
<author pid="246/5047">Calypso Herrera</author>
<author pid="264/0076">Florian Krach</author>
<author pid="99/9501">Josef Teichmann</author>
<title>Denise: Deep Learning based Robust PCA for Positive Semidefinite Matrices.</title>
<year>2020</year>
<volume>abs/2004.13612</volume>
<journal>CoRR</journal>
<ee type="oa">https://arxiv.org/abs/2004.13612</ee>
<url>db/journals/corr/corr2004.html#abs-2004-13612</url>
</article>
</r>
<r><article publtype="informal" key="journals/corr/abs-2006-04727" mdate="2020-06-12">
<author pid="246/5047">Calypso Herrera</author>
<author pid="264/0076">Florian Krach</author>
<author pid="99/9501">Josef Teichmann</author>
<title>Theoretical Guarantees for Learning Conditional Expectation using Controlled ODE-RNN.</title>
<year>2020</year>
<volume>abs/2006.04727</volume>
<journal>CoRR</journal>
<ee type="oa">https://arxiv.org/abs/2006.04727</ee>
<url>db/journals/corr/corr2006.html#abs-2006-04727</url>
</article>
</r>
<r><article publtype="informal" key="journals/corr/abs-1908-00461" mdate="2019-08-09">
<author pid="63/8437">Michel Baes</author>
<author pid="246/5047">Calypso Herrera</author>
<author pid="223/5063">Ariel Neufeld</author>
<author pid="246/4890">Pierre Ruyssen</author>
<title>Low-Rank plus Sparse Decomposition of Covariance Matrices using Neural Network Parametrization.</title>
<year>2019</year>
<volume>abs/1908.00461</volume>
<journal>CoRR</journal>
<ee type="oa">http://arxiv.org/abs/1908.00461</ee>
<url>db/journals/corr/corr1908.html#abs-1908-00461</url>
</article>
</r>
<coauthors n="6" nc="1">
<co c="0"><na f="b/Baes:Michel" pid="63/8437">Michel Baes</na></co>
<co c="0"><na f="k/Krach:Florian" pid="264/0076">Florian Krach</na></co>
<co c="0"><na f="k/Kratsios:Anastasis" pid="227/2208">Anastasis Kratsios</na></co>
<co c="0"><na f="n/Neufeld:Ariel" pid="223/5063">Ariel Neufeld</na></co>
<co c="0"><na f="r/Ruyssen:Pierre" pid="246/4890">Pierre Ruyssen</na></co>
<co c="0"><na f="t/Teichmann:Josef" pid="99/9501">Josef Teichmann</na></co>
</coauthors>
</dblpperson>

