Cristian Bodnar
Cristian Bodnar
Senior Researcher, Microsoft Research
Verified email at - Homepage
Cited by
Cited by
Weisfeiler and Lehman Go Cellular: CW Networks
C Bodnar, F Frasca, N Otter, YG Wang, P Liņ, G Montśfar, M Bronstein
NeurIPS 2021, 2021
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks
C Bodnar, F Frasca, YG Wang, N Otter, G Montśfar, P Liņ, M Bronstein
ICML 2021, 2021
Neural sheaf diffusion: A topological perspective on heterophily and oversmoothing in GNNs
C Bodnar, F Di Giovanni, BP Chamberlain, P Liņ, MM Bronstein
NeurIPS 2022, 2022
Variational autoencoders for cancer data integration: design principles and computational practice
N Simidjievski, C Bodnar, I Tariq, P Scherer, H Andres Terre, Z Shams, ...
Frontiers in genetics 10, 1205, 2019
On second order behaviour in augmented neural odes
A Norcliffe, C Bodnar, B Day, N Simidjievski, P Liņ
NeurIPS 2020, 2020
Neural ODE processes
A Norcliffe, C Bodnar, B Day, J Moss, P Liņ
ICLR 2021, 2021
Proximal distilled evolutionary reinforcement learning
C Bodnar, B Day, P Lió
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3283-3290, 2020
On the expressive power of geometric graph neural networks
CK Joshi, C Bodnar, SV Mathis, T Cohen, P Liņ
ICML 2023, 2023
Quantile qt-opt for risk-aware vision-based robotic grasping
C Bodnar, A Li, K Hausman, P Pastor, M Kalakrishnan
Robotics: Science and Systems 2020 (Best Systems Paper Finalist), 2019
Text to Image Synthesis Using Generative Adversarial Networks
C Bodnar
The University of Manchester, 2018
Deep Graph Mapper: Seeing Graphs through the Neural Lens
C Bodnar, C Cangea, P Liņ
Frontiers in Big Data, 2020
Sheaf neural networks with connection laplacians
F Barbero, C Bodnar, HS de Ocįriz Borde, M Bronstein, P Veličković, ...
Topological, Algebraic and Geometric Learning Workshops 2022, 28-36, 2022
Simplicial attention networks
CWJ Goh, C Bodnar, P Lio
arXiv preprint arXiv:2204.09455, 2022
Sheaf attention networks
F Barbero, C Bodnar, HS de Ocįriz Borde, P Lio
NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations, 2022
Surfing on the neural sheaf
J Suk, L Giusti, T Hemo, M Lopez, K Barmpas, C Bodnar
NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations, 2022
Cin++: Enhancing topological message passing
L Giusti, T Reu, F Ceccarelli, C Bodnar, P Liņ
arXiv preprint arXiv:2306.03561, 2023
Topological deep learning: graphs, complexes, sheaves
C Bodnar
A metric space perspective on self-supervised policy adaptation
C Bodnar, K Hausman, G Dulac-Arnold, R Jonschkowski
IEEE Robotics and Automation Letters 6 (3), 4329-4336, 2021
Aurora: A foundation model of the atmosphere
C Bodnar, WP Bruinsma, A Lucic, M Stanley, J Brandstetter, P Garvan, ...
arXiv preprint arXiv:2405.13063, 2024
Dirichlet energy enhancement of graph neural networks by framelet augmentation
J Chen, Y Wang, C Bodnar, R Ying, P Lio, YG Wang
arXiv preprint arXiv:2311.05767, 2023
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