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ORCIDCristian Bodnar
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2020 – today
- 2024
[c10]Lorenzo Giusti, Teodora Reu, Francesco Ceccarelli, Cristian Bodnar, Pietro Liò:
Topological Message Passing for Higher - Order and Long - Range Interactions. IJCNN 2024: 1-8- [i17]Cristian Bodnar, Wessel P. Bruinsma, Ana Lucic, Megan Stanley, Johannes Brandstetter, Patrick Garvan, Maik Riechert, Jonathan A. Weyn, Haiyu Dong, Anna Vaughan, Jayesh K. Gupta, Kit Thambiratnam, Alex Archibald, Elizabeth Heider, Max Welling, Richard E. Turner, Paris Perdikaris:
Aurora: A Foundation Model of the Atmosphere. CoRR abs/2405.13063 (2024) - 2023
- [c9]Chaitanya K. Joshi, Cristian Bodnar, Simon V. Mathis, Taco Cohen, Pietro Lio:
On the Expressive Power of Geometric Graph Neural Networks. ICML 2023: 15330-15355 - [i16]Chaitanya K. Joshi, Cristian Bodnar, Simon V. Mathis, Taco Cohen, Pietro Liò:
On the Expressive Power of Geometric Graph Neural Networks. CoRR abs/2301.09308 (2023) - [i15]Lorenzo Giusti, Teodora Reu, Francesco Ceccarelli, Cristian Bodnar, Pietro Liò:
CIN++: Enhancing Topological Message Passing. CoRR abs/2306.03561 (2023) - [i14]Jialin Chen, Yuelin Wang, Cristian Bodnar, Rex Ying, Pietro Lio, Yuguang Wang:
Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation. CoRR abs/2311.05767 (2023) - 2022
- [c8]Cristian Bodnar, Francesco Di Giovanni, Benjamin Paul Chamberlain, Pietro Lió, Michael M. Bronstein:
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs. NeurIPS 2022 - [c7]Federico Barbero, Cristian Bodnar, Haitz Sáez de Ocáriz Borde, Michael M. Bronstein, Petar Velickovic, Pietro Liò:
Sheaf Neural Networks with Connection Laplacians. TAG-ML 2022: 28-36 - [i13]Cristian Bodnar, Francesco Di Giovanni, Benjamin Paul Chamberlain, Pietro Liò, Michael M. Bronstein:
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs. CoRR abs/2202.04579 (2022) - [i12]Christopher Wei Jin Goh, Cristian Bodnar, Pietro Liò:
Simplicial Attention Networks. CoRR abs/2204.09455 (2022) - [i11]Federico Barbero, Cristian Bodnar, Haitz Sáez de Ocáriz Borde, Michael M. Bronstein, Petar Velickovic, Pietro Liò
:
Sheaf Neural Networks with Connection Laplacians. CoRR abs/2206.08702 (2022) - 2021
- [j2]Cristian Bodnar, Catalina Cangea, Pietro Liò:
Deep Graph Mapper: Seeing Graphs Through the Neural Lens. Frontiers Big Data 4: 680535 (2021) - [j1]Cristian Bodnar, Karol Hausman, Gabriel Dulac-Arnold, Rico Jonschkowski:
A Metric Space Perspective on Self-Supervised Policy Adaptation. IEEE Robotics Autom. Lett. 6(3): 4329-4336 (2021) - [c6]Alexander Norcliffe, Cristian Bodnar, Ben Day, Jacob Moss, Pietro Liò:
Neural ODE Processes. ICLR 2021 - [c5]Cristian Bodnar, Fabrizio Frasca, Yuguang Wang, Nina Otter, Guido F. Montúfar, Pietro Lió, Michael M. Bronstein:
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks. ICML 2021: 1026-1037 - [c4]Cristian Bodnar, Fabrizio Frasca, Nina Otter, Yuguang Wang, Pietro Liò, Guido F. Montúfar, Michael M. Bronstein:
Weisfeiler and Lehman Go Cellular: CW Networks. NeurIPS 2021: 2625-2640 - [i10]Cristian Bodnar, Fabrizio Frasca, Yu Guang Wang, Nina Otter, Guido Montúfar, Pietro Liò, Michael M. Bronstein:
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks. CoRR abs/2103.03212 (2021) - [i9]Alexander Norcliffe, Cristian Bodnar, Ben Day, Jacob Moss, Pietro Liò:
Neural ODE Processes. CoRR abs/2103.12413 (2021) - [i8]Cristian Bodnar, Fabrizio Frasca, Nina Otter, Yu Guang Wang, Pietro Liò, Guido Montúfar, Michael M. Bronstein:
Weisfeiler and Lehman Go Cellular: CW Networks. CoRR abs/2106.12575 (2021) - 2020
- [c3]Cristian Bodnar, Ben Day, Pietro Lió:
Proximal Distilled Evolutionary Reinforcement Learning. AAAI 2020: 3283-3290 - [c2]Alexander Norcliffe, Cristian Bodnar, Ben Day, Nikola Simidjievski, Pietro Lió:
On Second Order Behaviour in Augmented Neural ODEs. NeurIPS 2020 - [c1]Cristian Bodnar, Adrian Li, Karol Hausman, Peter Pastor, Mrinal Kalakrishnan:
Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping. Robotics: Science and Systems 2020 - [i7]Cristian Bodnar, Catalina Cangea, Pietro Liò:
Deep Graph Mapper: Seeing Graphs through the Neural Lens. CoRR abs/2002.03864 (2020) - [i6]Alexander Norcliffe, Cristian Bodnar, Ben Day, Nikola Simidjievski, Pietro Liò:
On Second Order Behaviour in Augmented Neural ODEs. CoRR abs/2006.07220 (2020) - [i5]Vijja Wichitwechkarn, Ben Day, Cristian Bodnar, Matthew Wales, Pietro Liò:
The Role of Isomorphism Classes in Multi-Relational Datasets. CoRR abs/2009.14593 (2020) - [i4]Cristian Bodnar, Karol Hausman, Gabriel Dulac-Arnold, Rico Jonschkowski:
A Geometric Perspective on Self-Supervised Policy Adaptation. CoRR abs/2011.07318 (2020)
2010 – 2019
- 2019
- [i3]Cristian Bodnar, Ben Day, Pietro Liò:
Proximal Distilled Evolutionary Reinforcement Learning. CoRR abs/1906.09807 (2019) - [i2]Cristian Bodnar, Adrian Li, Karol Hausman, Peter Pastor, Mrinal Kalakrishnan:
Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping. CoRR abs/1910.02787 (2019) - 2018
- [i1]Cristian Bodnar:
Text to Image Synthesis Using Generative Adversarial Networks. CoRR abs/1805.00676 (2018)
Coauthor Index
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