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ORCIDEmanuele Zappala
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2020 – today
- 2024
[c3]Josue Ortega Caro, Antonio Henrique de Oliveira Fonseca, Syed Asad Rizvi, Matteo Rosati, Christopher L. Averill, James Cross, Prateek Mittal
, Emanuele Zappala, Rahul Madhav Dhodapkar, Chadi Abdallah, David van Dijk:
BrainLM: A foundation model for brain activity recordings. ICLR 2024- [i11]Emanuele Zappala:
Projection Methods for Operator Learning and Universal Approximation. CoRR abs/2406.12264 (2024) - [i10]Emanuele Zappala, Maryam Bagherian:
Universal Approximation of Operators with Transformers and Neural Integral Operators. CoRR abs/2409.00841 (2024) - [i9]Emanuele Zappala:
Leray-Schauder Mappings for Operator Learning. CoRR abs/2410.01746 (2024) - [i8]Shiyang Zhang, Aakash Patel, Syed Asad Rizvi, Nianchen Liu, Sizhuang He, Amin Karbasi, Emanuele Zappala, David van Dijk:
Intelligence at the Edge of Chaos. CoRR abs/2410.02536 (2024) - 2023
- [c2]Emanuele Zappala, Antonio Henrique de Oliveira Fonseca, Andrew Henry Moberly, Michael James Higley, Chadi Abdallah, Jessica A. Cardin, David van Dijk:
Neural Integro-Differential Equations. AAAI 2023: 11104-11112 - [c1]Antonio Henrique de Oliveira Fonseca, Emanuele Zappala, Josue Ortega Caro, David van Dijk:
Continuous Spatiotemporal Transformer. ICML 2023: 7343-7365 - [i7]Antonio Henrique de Oliveira Fonseca, Emanuele Zappala, Josue Ortega Caro, David van Dijk:
Continuous Spatiotemporal Transformers. CoRR abs/2301.13338 (2023) - [i6]Emanuele Zappala, Daniel LeVine, Sizhuang He, Syed Asad Rizvi, Sacha Levy, David van Dijk:
Operator Learning Meets Numerical Analysis: Improving Neural Networks through Iterative Methods. CoRR abs/2310.01618 (2023) - [i5]Emanuele Zappala:
Spectral methods for Neural Integral Equations. CoRR abs/2312.05654 (2023) - 2022
- [j2]Mohamed Elhamdadi, Abdenacer Makhlouf, Sergei Silvestrov, Emanuele Zappala:
Derivation problem for quandle algebras. Int. J. Algebra Comput. 32(5): 985-1007 (2022) - [j1]Antonino Marciano, Deen Chen, Filippo Fabrocini, Chris Fields, Enrico Greco, Niels Gresnigt, Krid Jinklub, Matteo Lulli, Kostas Terzidis, Emanuele Zappala:
Quantum Neural Networks and Topological Quantum Field Theories. Neural Networks 153: 164-178 (2022) - [i4]Emanuele Zappala, Antonio Henrique de Oliveira Fonseca, Andrew Henry Moberly, Michael James Higley, Chadi Abdallah, Jessica A. Cardin, David van Dijk:
Neural Integro-Differential Equations. CoRR abs/2206.14282 (2022) - [i3]Emanuele Zappala, Antonio Henrique de Oliveira Fonseca, Josue Ortega Caro, David van Dijk:
Neural Integral Equations. CoRR abs/2209.15190 (2022) - [i2]Syed Asad Rizvi, Nhi Nguyen, Haoran Lyu, Ben Christensen, Josue Ortega Caro, Emanuele Zappala, Maria Brbic, Rahul Madhav Dhodapkar, David van Dijk:
AMPNet: Attention as Message Passing for Graph Neural Networks. CoRR abs/2210.09475 (2022) - [i1]Antonino Marciano, Deen Chen, Filippo Fabrocini, Chris Fields, Matteo Lulli, Emanuele Zappala:
Deep Neural Networks as the Semi-classical Limit of Topological Quantum Neural Networks: The problem of generalisation. CoRR abs/2210.13741 (2022)
Coauthor Index
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