Bogdan Raonic

According to our database, Bogdan Raonic authored at least 7 papers between 2023 and 2025.

Collaborative distances:

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

2025

RIGNO: A Graph-based framework for robust and accurate operator learning for PDEs on arbitrary domains.

Sepehr Mousavi, Shizheng Wen, Levi E. Lingsch, Maximilian Herde, Bogdan Raonic, Siddhartha Mishra

CoRR, January, 2025

2024

Generative AI for fast and accurate Statistical Computation of Fluids.

Roberto Molinaro, Samuel Lanthaler, Bogdan Raonic, Tobias Rohner, Victor Armegioiu, Zhong Yi Wan, Fei Sha, Siddhartha Mishra, Leonardo Zepeda-Núñez

CoRR, 2024

Poseidon: Efficient Foundation Models for PDEs.

Maximilian Herde, Bogdan Raonic, Tobias Rohner, Roger Käppeli, Roberto Molinaro, Emmanuel de Bézenac, Siddhartha Mishra

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Are Neural Operators Really Neural Operators? Frame Theory Meets Operator Learning.

Francesca Bartolucci, Emmanuel de Bézenac, Bogdan Raonic, Roberto Molinaro, Siddhartha Mishra, Rima Alaifari

CoRR, 2023

Convolutional Neural Operators.

Bogdan Raonic, Roberto Molinaro, Tobias Rohner, Siddhartha Mishra, Emmanuel de Bézenac

CoRR, 2023

Convolutional Neural Operators for robust and accurate learning of PDEs.

Bogdan Raonic, Roberto Molinaro, Tim De Ryck, Tobias Rohner, Francesca Bartolucci, Rima Alaifari, Siddhartha Mishra, Emmanuel de Bézenac

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning.

Francesca Bartolucci, Emmanuel de Bézenac, Bogdan Raonic, Roberto Molinaro, Siddhartha Mishra, Rima Alaifari

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023