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Papers共 61 篇Author StatisticsCo-AuthorSimilar Experts

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ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain
Guillermo Bernárdez,Lev Telyatnikov, Marco Montagna, Federica Baccini,Mathilde Papillon,Miquel Ferriol-Galmés, Mustafa Hajij,Theodore Papamarkou,Maria Sofia Bucarelli, Olga Zaghen, Johan Mathe,Audun Myers, Scott Mahan, Hansen Lillemark,Sharvaree Vadgama,Erik Bekkers, Tim Doster, Tegan Emerson,Henry Kvinge, Katrina Agate,Nesreen K Ahmed, Pengfei Bai, Michael Banf,Claudio Battiloro,Maxim Beketov,Paul Bogdan, Martin Carrasco, Andrea Cavallo,Yun Young Choi,George Dasoulas, Matouš Elphick, Giordan Escalona, Dominik Filipiak, Halley Fritze, Thomas Gebhart, Manel Gil-Sorribes, Salvish Goomanee, Victor Guallar, Liliya Imasheva, Andrei Irimia,Hongwei Jin, Graham Johnson, Nikos Kanakaris,Boshko Koloski, Veljko Kovač, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden,Sebastian Mežnar, Bertran Miquel-Oliver, Alexis Molina,Alexander Nikitin, Marco Nurisso, Matt Piekenbrock,Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frederic Wantiez, Alexander Weers, Patrik Zajec,Blaž Škrlj, Nina Miolane
arxiv（2024）
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Making Corgis Important for Honeycomb Classification: Adversarial Attacks on Concept-based Explainability Tools
Davis Brown,Henry Kvinge
2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRWpp.620-627, (2023)
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Author Statistics

#Papers: 59

#Citation: 171

H-Index: 7

G-Index: 12

Sociability: 5

Diversity: 2

Activity: 18

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