Thomas Gebhart

21 papers A 1C 2Journal 15Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Disentangling signal and noise in neural responses through generative modeling. PLoS Comput. Biol. Kendrick N. Kay, Jacob S. Prince, Thomas Gebhart, Greta Tuckute, Jingyang Zhou, Thomas Naselaris, Heiko H. Schütt
2025	J	`jnl`	Opening Knowledge Gaps Drives Scientific Progress. CoRR Kara Kedrick, Wenlong Yang, Thomas Gebhart, Yang Wang, Russell J. Funk
2025	J	`jnl`	Sheaf theory: from deep geometry to deep learning. CoRR Anton Ayzenberg, Thomas Gebhart, German Magai, Grigory Solomadin
2024	—	`conf`	ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. GRaM 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 J. 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, Matous 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 Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, 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, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane
2024	J	`jnl`	ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. CoRR 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 P. Vadgama, Erik J. 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, Matous 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 Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, 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, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane
2023	J	`jnl`	A Mathematical Framework for Citation Disruption. CoRR Thomas Gebhart, Russell J. Funk
2023	J	`jnl`	Extending Transductive Knowledge Graph Embedding Models for Inductive Logical Relational Inference. CoRR Thomas Gebhart, John Cobb
2023	A	`conf`	Knowledge Sheaves: A Sheaf-Theoretic Framework for Knowledge Graph Embedding. AISTATS Thomas Gebhart, Jakob Hansen, Paul Schrater
2022	—	`conf`	Graph Convolutional Networks from the Perspective of Sheaves and the Neural Tangent Kernel. TAG-ML Thomas Gebhart
2022	J	`jnl`	Graph Convolutional Networks from the Perspective of Sheaves and the Neural Tangent Kernel. CoRR Thomas Gebhart
2021	J	`jnl`	A Unified Paths Perspective for Pruning at Initialization. CoRR Thomas Gebhart, Udit Saxena, Paul Schrater
2021	—	`conf`	Go with the Flow? A Large-Scale Analysis of Health Care Delivery Networks in the United States Using Hodge Theory. IEEE BigData Thomas Gebhart, Xiaojun Fu, Russell J. Funk
2021	J	`jnl`	Go with the Flow? A Large-Scale Analysis of Health Care Delivery Networks in the United States Using Hodge Theory. CoRR Thomas Gebhart, Xiaojun Fu, Russell J. Funk
2021	J	`jnl`	Knowledge Sheaves: A Sheaf-Theoretic Framework for Knowledge Graph Embedding. CoRR Thomas Gebhart, Jakob Hansen, Paul Schrater
2020	J	`jnl`	Sheaf Neural Networks. CoRR Jakob Hansen, Thomas Gebhart
2020	J	`jnl`	The Emergence of Higher-Order Structure in Scientific and Technological Knowledge Networks. CoRR Thomas Gebhart, Russell J. Funk
2019	J	`jnl`	Adversarial Examples Target Topological Holes in Deep Networks. CoRR Thomas Gebhart, Paul Schrater
2019	C	`conf`	Characterizing the Shape of Activation Space in Deep Neural Networks. ICMLA Thomas Gebhart, Paul Schrater, Alan Hylton
2019	C	`conf`	Path Homologies of Deep Feedforward Networks. ICMLA Samir Chowdhury, Thomas Gebhart, Steve Huntsman, Matvey Yutin
2019	J	`jnl`	Path homologies of deep feedforward networks. CoRR Samir Chowdhury, Thomas Gebhart, Steve Huntsman, Matvey Yutin
2017	J	`jnl`	Adversary Detection in Neural Networks via Persistent Homology. CoRR Thomas Gebhart, Paul Schrater