Cristian Bodnar

32 papers A* 7B 1Journal 21Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Weather Foundation Model for the Power Grid. CoRR Cristian Bodnar, Raphaël Rousseau-Rizzi, Nikhil Shankar, James Merleau, Stylianos Flampouris, Guillem Candille, Slavica Antic, François Mirallès, Jayesh K. Gupta
2025	J	`jnl`	A foundation model for the Earth system. Nat. Cristian Bodnar, Wessel P. Bruinsma, Ana Lucic, Megan Stanley, Anna Allen, Johannes Brandstetter, Patrick Garvan, Maik Riechert, Jonathan A. Weyn, Haiyu Dong, Jayesh K. Gupta, Kit Thambiratnam, Alexander T. Archibald, Chun-Chieh Wu, Elizabeth Heider, Max Welling, Richard E. Turner, Paris Perdikaris
2024	J	`jnl`	Aurora: A Foundation Model of the Atmosphere. CoRR 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, Alexander T. Archibald, Elizabeth Heider, Max Welling, Richard E. Turner, Paris Perdikaris
2024	B	`conf`	Topological Message Passing for Higher - Order and Long - Range Interactions. IJCNN Lorenzo Giusti, Teodora Reu, Francesco Ceccarelli, Cristian Bodnar, Pietro Liò
2023	J	`jnl`	CIN++: Enhancing Topological Message Passing. CoRR Lorenzo Giusti, Teodora Reu, Francesco Ceccarelli, Cristian Bodnar, Pietro Liò
2023	J	`jnl`	Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation. CoRR Jialin Chen, Yuelin Wang, Cristian Bodnar, Rex Ying, Pietro Lio, Yuguang Wang
2023	A*	`conf`	On the Expressive Power of Geometric Graph Neural Networks. ICML Chaitanya K. Joshi, Cristian Bodnar, Simon V. Mathis, Taco Cohen, Pietro Lio
2023	J	`jnl`	On the Expressive Power of Geometric Graph Neural Networks. CoRR Chaitanya K. Joshi, Cristian Bodnar, Simon V. Mathis, Taco Cohen, Pietro Liò
2023	—	`conf`	Sheaf-based Positional Encodings for Graph Neural Networks. NeurReps Yu He, Cristian Bodnar, Pietro Liò
2022	A*	`conf`	Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs. NeurIPS Cristian Bodnar, Francesco Di Giovanni, Benjamin Paul Chamberlain, Pietro Lió, Michael M. Bronstein
2022	J	`jnl`	Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs. CoRR Cristian Bodnar, Francesco Di Giovanni, Benjamin Paul Chamberlain, Pietro Liò, Michael M. Bronstein
2022	—	`conf`	Sheaf Neural Networks with Connection Laplacians. TAG-ML Federico Barbero, Cristian Bodnar, Haitz Sáez de Ocáriz Borde, Michael M. Bronstein, Petar Velickovic, Pietro Liò
2022	J	`jnl`	Sheaf Neural Networks with Connection Laplacians. CoRR Federico Barbero, Cristian Bodnar, Haitz Sáez de Ocáriz Borde, Michael M. Bronstein, Petar Velickovic, Pietro Liò
2022	J	`jnl`	Simplicial Attention Networks. CoRR Christopher Wei Jin Goh, Cristian Bodnar, Pietro Liò
2021	J	`jnl`	A Metric Space Perspective on Self-Supervised Policy Adaptation. IEEE Robotics Autom. Lett. Cristian Bodnar, Karol Hausman, Gabriel Dulac-Arnold, Rico Jonschkowski
2021	J	`jnl`	Deep Graph Mapper: Seeing Graphs Through the Neural Lens. Frontiers Big Data Cristian Bodnar, Catalina Cangea, Pietro Liò
2021	A*	`conf`	Neural ODE Processes. ICLR Alexander Norcliffe, Cristian Bodnar, Ben Day, Jacob Moss, Pietro Liò
2021	J	`jnl`	Neural ODE Processes. CoRR Alexander Norcliffe, Cristian Bodnar, Ben Day, Jacob Moss, Pietro Liò
2021	A*	`conf`	Weisfeiler and Lehman Go Cellular: CW Networks. NeurIPS Cristian Bodnar, Fabrizio Frasca, Nina Otter, Yuguang Wang, Pietro Liò, Guido F. Montúfar, Michael M. Bronstein
2021	J	`jnl`	Weisfeiler and Lehman Go Cellular: CW Networks. CoRR Cristian Bodnar, Fabrizio Frasca, Nina Otter, Yu Guang Wang, Pietro Liò, Guido Montúfar, Michael M. Bronstein
2021	A*	`conf`	Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks. ICML Cristian Bodnar, Fabrizio Frasca, Yuguang Wang, Nina Otter, Guido F. Montúfar, Pietro Lió, Michael M. Bronstein
2021	J	`jnl`	Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks. CoRR Cristian Bodnar, Fabrizio Frasca, Yu Guang Wang, Nina Otter, Guido Montúfar, Pietro Liò, Michael M. Bronstein
2020	J	`jnl`	A Geometric Perspective on Self-Supervised Policy Adaptation. CoRR Cristian Bodnar, Karol Hausman, Gabriel Dulac-Arnold, Rico Jonschkowski
2020	J	`jnl`	Deep Graph Mapper: Seeing Graphs through the Neural Lens. CoRR Cristian Bodnar, Catalina Cangea, Pietro Liò
2020	A*	`conf`	On Second Order Behaviour in Augmented Neural ODEs. NeurIPS Alexander Norcliffe, Cristian Bodnar, Ben Day, Nikola Simidjievski, Pietro Lió
2020	J	`jnl`	On Second Order Behaviour in Augmented Neural ODEs. CoRR Alexander Norcliffe, Cristian Bodnar, Ben Day, Nikola Simidjievski, Pietro Liò
2020	A*	`conf`	Proximal Distilled Evolutionary Reinforcement Learning. AAAI Cristian Bodnar, Ben Day, Pietro Lió
2020	—	`conf`	Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping. Robotics: Science and Systems Cristian Bodnar, Adrian Li, Karol Hausman, Peter Pastor, Mrinal Kalakrishnan
2020	J	`jnl`	The Role of Isomorphism Classes in Multi-Relational Datasets. CoRR Vijja Wichitwechkarn, Ben Day, Cristian Bodnar, Matthew Wales, Pietro Liò
2019	J	`jnl`	Proximal Distilled Evolutionary Reinforcement Learning. CoRR Cristian Bodnar, Ben Day, Pietro Liò
2019	J	`jnl`	Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping. CoRR Cristian Bodnar, Adrian Li, Karol Hausman, Peter Pastor, Mrinal Kalakrishnan
2018	J	`jnl`	Text to Image Synthesis Using Generative Adversarial Networks. CoRR Cristian Bodnar