Cristian Bodnar

According to our database, Cristian Bodnar authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Aurora: A Foundation Model of the Atmosphere.

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

CoRR, 2024

Topological Message Passing for Higher - Order and Long - Range Interactions.

Lorenzo Giusti, Teodora Reu, Francesco Ceccarelli, Cristian Bodnar, Pietro Liò

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation.

Jialin Chen, Yuelin Wang, Cristian Bodnar, Rex Ying, Pietro Lio, Yuguang Wang

CoRR, 2023

CIN++: Enhancing Topological Message Passing.

Lorenzo Giusti, Teodora Reu, Francesco Ceccarelli, Cristian Bodnar, Pietro Liò

CoRR, 2023

On the Expressive Power of Geometric Graph Neural Networks.

Chaitanya K. Joshi, Cristian Bodnar, Simon V. Mathis, Taco Cohen, Pietro Lio

Proceedings of the International Conference on Machine Learning, 2023

2022

Simplicial Attention Networks.

Christopher Wei Jin Goh, Cristian Bodnar, Pietro Liò

CoRR, 2022

Sheaf Neural Networks with Connection Laplacians.

Federico Barbero, Cristian Bodnar, Haitz Sáez de Ocáriz Borde, Michael M. Bronstein, Petar Velickovic, Pietro Liò

Proceedings of the Topological, 2022

Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs.

Cristian Bodnar, Francesco Di Giovanni, Benjamin Paul Chamberlain, Pietro Lió, Michael M. Bronstein

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

A Metric Space Perspective on Self-Supervised Policy Adaptation.

Cristian Bodnar, Karol Hausman, Gabriel Dulac-Arnold, Rico Jonschkowski

IEEE Robotics Autom. Lett., 2021

Deep Graph Mapper: Seeing Graphs Through the Neural Lens.

Cristian Bodnar, Catalina Cangea, Pietro Liò

Frontiers Big Data, 2021

Weisfeiler and Lehman Go Cellular: CW Networks.

Cristian Bodnar, Fabrizio Frasca, Nina Otter, Yuguang Wang, Pietro Liò, Guido F. Montúfar, Michael M. Bronstein

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks.

Cristian Bodnar, Fabrizio Frasca, Yuguang Wang, Nina Otter, Guido F. Montúfar, Pietro Lió, Michael M. Bronstein

Proceedings of the 38th International Conference on Machine Learning, 2021

Neural ODE Processes.

Alexander Norcliffe, Cristian Bodnar, Ben Day, Jacob Moss, Pietro Liò

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

A Geometric Perspective on Self-Supervised Policy Adaptation.

Cristian Bodnar, Karol Hausman, Gabriel Dulac-Arnold, Rico Jonschkowski

CoRR, 2020

The Role of Isomorphism Classes in Multi-Relational Datasets.

Vijja Wichitwechkarn, Ben Day, Cristian Bodnar, Matthew Wales, Pietro Liò

CoRR, 2020

Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping.

Cristian Bodnar, Adrian Li, Karol Hausman, Peter Pastor, Mrinal Kalakrishnan

Proceedings of the Robotics: Science and Systems XVI, 2020

On Second Order Behaviour in Augmented Neural ODEs.

Alexander Norcliffe, Cristian Bodnar, Ben Day, Nikola Simidjievski, Pietro Lió

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Proximal Distilled Evolutionary Reinforcement Learning.

Cristian Bodnar, Ben Day, Pietro Lió

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

Text to Image Synthesis Using Generative Adversarial Networks.

Cristian Bodnar

CoRR, 2018