Cristian Bodnar

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 28

Top Topics

Relational Reinforcement Learning

Message Passing

Top Venues

IEEE Robotics Autom. Lett.

Publications

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 (2024)
Lorenzo Giusti, Teodora Reu, Francesco Ceccarelli, Cristian Bodnar, Pietro Liò
CIN++: Enhancing Topological Message Passing. CoRR (2023)
Jialin Chen, Yuelin Wang, Cristian Bodnar, Rex Ying, Pietro Lio, Yuguang Wang
Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation. CoRR (2023)
Chaitanya K. Joshi, Cristian Bodnar, Simon V. Mathis, Taco Cohen, Pietro Lio
On the Expressive Power of Geometric Graph Neural Networks. ICML (2023)
Chaitanya K. Joshi, Cristian Bodnar, Simon V. Mathis, Taco Cohen, Pietro Liò
On the Expressive Power of Geometric Graph Neural Networks. CoRR (2023)
Christopher Wei Jin Goh, Cristian Bodnar, Pietro Liò
Simplicial Attention Networks. CoRR (2022)
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)
Federico Barbero, Cristian Bodnar, Haitz Sáez de Ocáriz Borde, Michael M. Bronstein, Petar Velickovic, Pietro Liò
Sheaf Neural Networks with Connection Laplacians. CoRR (2022)
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 (2022)
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)
Alexander Norcliffe, Cristian Bodnar, Ben Day, Jacob Moss, Pietro Liò
Neural ODE Processes. CoRR (2021)
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)
Cristian Bodnar, Fabrizio Frasca, Nina Otter, Yu Guang Wang, Pietro Liò, Guido Montúfar, Michael M. Bronstein
Weisfeiler and Lehman Go Cellular: CW Networks. CoRR (2021)
Cristian Bodnar, Karol Hausman, Gabriel Dulac-Arnold, Rico Jonschkowski
A Metric Space Perspective on Self-Supervised Policy Adaptation. IEEE Robotics Autom. Lett. 6 (3) (2021)
Alexander Norcliffe, Cristian Bodnar, Ben Day, Jacob Moss, Pietro Liò
Neural ODE Processes. ICLR (2021)
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 (2021)
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)
Cristian Bodnar, Catalina Cangea, Pietro Liò
Deep Graph Mapper: Seeing Graphs Through the Neural Lens. Frontiers Big Data 4 (2021)
Cristian Bodnar, Karol Hausman, Gabriel Dulac-Arnold, Rico Jonschkowski
A Geometric Perspective on Self-Supervised Policy Adaptation. CoRR (2020)
Cristian Bodnar, Catalina Cangea, Pietro Liò
Deep Graph Mapper: Seeing Graphs through the Neural Lens. CoRR (2020)
Vijja Wichitwechkarn, Ben Day, Cristian Bodnar, Matthew Wales, Pietro Liò
The Role of Isomorphism Classes in Multi-Relational Datasets. CoRR (2020)
Cristian Bodnar, Ben Day, Pietro Lió
Proximal Distilled Evolutionary Reinforcement Learning. AAAI (2020)
Alexander Norcliffe, Cristian Bodnar, Ben Day, Nikola Simidjievski, Pietro Lió
On Second Order Behaviour in Augmented Neural ODEs. NeurIPS (2020)
Alexander Norcliffe, Cristian Bodnar, Ben Day, Nikola Simidjievski, Pietro Liò
On Second Order Behaviour in Augmented Neural ODEs. CoRR (2020)
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)
Cristian Bodnar, Ben Day, Pietro Liò
Proximal Distilled Evolutionary Reinforcement Learning. CoRR (2019)
Cristian Bodnar, Adrian Li, Karol Hausman, Peter Pastor, Mrinal Kalakrishnan
Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping. CoRR (2019)
Cristian Bodnar
Text to Image Synthesis Using Generative Adversarial Networks. CoRR (2018)