<?xml version="1.0" encoding="US-ASCII"?>
<dblp>
<inproceedings key="conf/nips/ZarlengaBCMGDSP22" mdate="2024-01-08">
<author>Mateo Espinosa Zarlenga</author>
<author>Pietro Barbiero</author>
<author>Gabriele Ciravegna</author>
<author>Giuseppe Marra</author>
<author>Francesco Giannini</author>
<author>Michelangelo Diligenti</author>
<author>Zohreh Shams</author>
<author>Fr&#233;d&#233;ric Precioso</author>
<author>Stefano Melacci</author>
<author>Adrian Weller</author>
<author>Pietro Li&#243;</author>
<author>Mateja Jamnik</author>
<title>Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off.</title>
<year>2022</year>
<crossref>conf/nips/2022</crossref>
<booktitle>NeurIPS</booktitle>
<ee type="oa">http://papers.nips.cc/paper_files/paper/2022/hash/867c06823281e506e8059f5c13a57f75-Abstract-Conference.html</ee>
<url>db/conf/nips/neurips2022.html#ZarlengaBCMGDSP22</url>
</inproceedings></dblp>
