Emanuele Zappala

CoRR, 2024

Universal Approximation of Operators with Transformers and Neural Integral Operators.

[BibT_eX]

[DOI]

Maryam Bagherian

CoRR, 2024

Projection Methods for Operator Learning and Universal Approximation.

[BibT_eX]

[DOI]

CoRR, 2024

BrainLM: A foundation model for brain activity recordings.

[BibT_eX]

[DOI]

Syed Asad Rizvi

Matteo Rosati

Christopher L. Averill

James Cross

Prateek Mittal

Rahul Madhav Dhodapkar

Chadi Abdallah

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Spectral methods for Neural Integral Equations.

[BibT_eX]

[DOI]

CoRR, 2023

Operator Learning Meets Numerical Analysis: Improving Neural Networks through Iterative Methods.

[BibT_eX]

[DOI]

CoRR, 2023

Continuous Spatiotemporal Transformers.

[BibT_eX]

[DOI]

CoRR, 2023

Continuous Spatiotemporal Transformer.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Neural Integro-Differential Equations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Quantum Neural Networks and Topological Quantum Field Theories.

[BibT_eX]

[DOI]

Neural Networks, 2022

Derivation problem for quandle algebras.

[BibT_eX]

[DOI]

Int. J. Algebra Comput., 2022

Deep Neural Networks as the Semi-classical Limit of Topological Quantum Neural Networks: The problem of generalisation.

[BibT_eX]

[DOI]

CoRR, 2022

AMPNet: Attention as Message Passing for Graph Neural Networks.

[BibT_eX]

[DOI]

Rahul Madhav Dhodapkar

CoRR, 2022

Neural Integral Equations.

[BibT_eX]

[DOI]