Emanuele Zappala

22 papers A* 4Journal 18

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Intelligence at the Edge of Chaos. ICLR Shiyang Zhang, Aakash Patel, Syed Asad Rizvi, Nianchen Liu, Sizhuang He, Amin Karbasi, Emanuele Zappala, David van Dijk
2025	J	`jnl`	Neural Integral Operators for Inverse problems in Spectroscopy. CoRR Emanuele Zappala, Alice Giola, Andreas Kramer, Enrico Greco
2025	J	`jnl`	Non-Markovian Discrete Diffusion with Causal Language Models. CoRR Yangtian Zhang, Sizhuang He, Daniel LeVine, Lawrence Zhao, David Zhang, Syed Asad Rizvi, Emanuele Zappala, Rex Ying, David van Dijk
2025	J	`jnl`	Whether a quantum computation employs nonlocal resources is operationally undecidable. CoRR Chris Fields, James F. Glazebrook, Antonino Marciano, Emanuele Zappala
2024	A*	`conf`	BrainLM: A foundation model for brain activity recordings. ICLR Josue Ortega Caro, Antonio Henrique de Oliveira Fonseca, Syed Asad Rizvi, Matteo Rosati, Christopher L. Averill, James L. Cross, Prateek Mittal, Emanuele Zappala, Rahul Madhav Dhodapkar, Chadi Abdallah, David van Dijk
2024	J	`jnl`	CaLMFlow: Volterra Flow Matching using Causal Language Models. CoRR Sizhuang He, Daniel LeVine, Ivan Vrkic, Marco Francesco Bressana, David Zhang, Syed Asad Rizvi, Yangtian Zhang, Emanuele Zappala, David van Dijk
2024	J	`jnl`	Intelligence at the Edge of Chaos. CoRR Shiyang Zhang, Aakash Patel, Syed Asad Rizvi, Nianchen Liu, Sizhuang He, Amin Karbasi, Emanuele Zappala, David van Dijk
2024	J	`jnl`	Learning integral operators via neural integral equations. Nat. Mac. Intell. Emanuele Zappala, Antonio Henrique de Oliveira Fonseca, Josue Ortega Caro, Andrew Henry Moberly, Michael James Higley, Jessica A. Cardin, David van Dijk
2024	J	`jnl`	Leray-Schauder Mappings for Operator Learning. CoRR Emanuele Zappala
2024	J	`jnl`	Projection Methods for Operator Learning and Universal Approximation. CoRR Emanuele Zappala
2024	J	`jnl`	Universal Approximation of Operators with Transformers and Neural Integral Operators. CoRR Emanuele Zappala, Maryam Bagherian
2023	A*	`conf`	Continuous Spatiotemporal Transformer. ICML Antonio Henrique de Oliveira Fonseca, Emanuele Zappala, Josue Ortega Caro, David van Dijk
2023	J	`jnl`	Continuous Spatiotemporal Transformers. CoRR Antonio Henrique de Oliveira Fonseca, Emanuele Zappala, Josue Ortega Caro, David van Dijk
2023	A*	`conf`	Neural Integro-Differential Equations. AAAI Emanuele Zappala, Antonio Henrique de Oliveira Fonseca, Andrew Henry Moberly, Michael James Higley, Chadi Abdallah, Jessica A. Cardin, David van Dijk
2023	J	`jnl`	Operator Learning Meets Numerical Analysis: Improving Neural Networks through Iterative Methods. CoRR Emanuele Zappala, Daniel LeVine, Sizhuang He, Syed Asad Rizvi, Sacha Levy, David van Dijk
2023	J	`jnl`	Spectral methods for Neural Integral Equations. CoRR Emanuele Zappala
2022	J	`jnl`	AMPNet: Attention as Message Passing for Graph Neural Networks. CoRR Syed Asad Rizvi, Nhi Nguyen, Haoran Lyu, Ben Christensen, Josue Ortega Caro, Emanuele Zappala, Maria Brbic, Rahul Madhav Dhodapkar, David van Dijk
2022	J	`jnl`	Deep Neural Networks as the Semi-classical Limit of Topological Quantum Neural Networks: The problem of generalisation. CoRR Antonino Marciano, Deen Chen, Filippo Fabrocini, Chris Fields, Matteo Lulli, Emanuele Zappala
2022	J	`jnl`	Derivation problem for quandle algebras. Int. J. Algebra Comput. Mohamed Elhamdadi, Abdenacer Makhlouf, Sergei Silvestrov, Emanuele Zappala
2022	J	`jnl`	Neural Integral Equations. CoRR Emanuele Zappala, Antonio Henrique de Oliveira Fonseca, Josue Ortega Caro, David van Dijk
2022	J	`jnl`	Neural Integro-Differential Equations. CoRR Emanuele Zappala, Antonio Henrique de Oliveira Fonseca, Andrew Henry Moberly, Michael James Higley, Chadi Abdallah, Jessica A. Cardin, David van Dijk
2022	J	`jnl`	Quantum Neural Networks and Topological Quantum Field Theories. Neural Networks Antonino Marciano, Deen Chen, Filippo Fabrocini, Chris Fields, Enrico Greco, Niels Gresnigt, Krid Jinklub, Matteo Lulli, Kostas Terzidis, Emanuele Zappala