Cristian Bodnar 个人学术档案

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引用	1244	1240
h 指数	14	14
i10 指数	14	14

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Pietro LiòProfessor, University of Cambridge在 cam.ac.uk 的电子邮件经过验证
Michael BronsteinDeepMind Professor of AI, University of Oxford在 cs.ox.ac.uk 的电子邮件经过验证
Ben DayPhD, University of Cambridge在 cl.cam.ac.uk 的电子邮件经过验证
Yu Guang WangShanghai Jiao Tong University, University of New South Wales在 sjtu.edu.cn 的电子邮件经过验证
Nina OtterUniversity of Oxford在 maths.ox.ac.uk 的电子邮件经过验证
Guido F. MontufarUCLA, Mathematics and Statistics & Data Science, Max Planck Institute MiS在 math.ucla.edu 的电子邮件经过验证
Fabrizio FrascaPosdoctoral Fellow, Technion – Israel Institute of Technology在 ic.ac.uk 的电子邮件经过验证
Alexander NorcliffeUniversity of Cambridge在 cam.ac.uk 的电子邮件经过验证
Nikola SimidjievskiUniversity of Cambridge, United Kingdom在 cam.ac.uk 的电子邮件经过验证
Karol HausmanPhysical Intelligence, Stanford在 physicalintelligence.company 的电子邮件经过验证
Benjamin Paul ChamberlainIsomorphic Labs在 google.com 的电子邮件经过验证
Francesco Di GiovanniSenior Research Scientist, Valence Labs @ Recursion Pharma在 valencelabs.com 的电子邮件经过验证
Mrinal KalakrishnanAI Research Scientist, Meta FAIR在 meta.com 的电子邮件经过验证
Adrian LiWayve在 wayve.ai 的电子邮件经过验证
Ifrah TariqMassachusetts Institute of Technology在 mit.edu 的电子邮件经过验证
Federico BarberoUniversity of Oxford在 trinity.ox.ac.uk 的电子邮件经过验证
Taco CohenQualcomm AI Research在 qti.qualcomm.com 的电子邮件经过验证
Chaitanya K. JoshiPhD Student, University of Cambridge在 cam.ac.uk 的电子邮件经过验证
Simon Valentin MathisUniversity of Cambridge在 cam.ac.uk 的电子邮件经过验证
Peter PastorRoboticist, Google在 google.com 的电子邮件经过验证

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Cristian Bodnar

Senior Researcher, Microsoft Research

在 microsoft.com 的电子邮件经过验证 - 首页

Machine Learning AI4Science Simulations


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Weisfeiler and Lehman Go Cellular: CW Networks C Bodnar, F Frasca, N Otter, YG Wang, P Liò, G Montúfar, M Bronstein NeurIPS 2021, 2021	239	2021
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks C Bodnar, F Frasca, YG Wang, N Otter, G Montúfar, P Liò, M Bronstein ICML 2021, 2021	235	2021
Neural sheaf diffusion: A topological perspective on heterophily and oversmoothing in GNNs C Bodnar, F Di Giovanni, BP Chamberlain, P Liò, MM Bronstein NeurIPS 2022, 2022	127	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	124	2019
On second order behaviour in augmented neural odes A Norcliffe, C Bodnar, B Day, N Simidjievski, P Liò NeurIPS 2020, 2020	89	2020
Neural ODE processes A Norcliffe, C Bodnar, B Day, J Moss, P Liò ICLR 2021, 2021	66	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	65	2020
On the expressive power of geometric graph neural networks CK Joshi, C Bodnar, SV Mathis, T Cohen, P Liò ICML 2023, 2023	59	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	57	2019
Text to Image Synthesis Using Generative Adversarial Networks C Bodnar The University of Manchester, 2018	36	2018
Deep Graph Mapper: Seeing Graphs through the Neural Lens C Bodnar, C Cangea, P Liò Frontiers in Big Data, 2020	34	2020
Sheaf neural networks with connection laplacians F Barbero, C Bodnar, HS de Ocáriz Borde, M Bronstein, P Veličković, ... Topological, Algebraic and Geometric Learning Workshops 2022, 28-36, 2022	33	2022
Simplicial attention networks CWJ Goh, C Bodnar, P Lio arXiv preprint arXiv:2204.09455, 2022	28	2022
Sheaf attention networks F Barbero, C Bodnar, HS de Ocáriz Borde, P Lio NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations, 2022	18	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	8	2022
Cin++: Enhancing topological message passing L Giusti, T Reu, F Ceccarelli, C Bodnar, P Liò arXiv preprint arXiv:2306.03561, 2023	7	2023
Topological deep learning: graphs, complexes, sheaves C Bodnar	6	2023
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	6*	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	2	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	2	2023

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