SHAP values through General Fourier Representations: Theory and Applications
R. Morales (2025) SHAP values through General ...
Spiking Neural Networks: a theoretical framework for Universal Approximation and training
U. Biccari (2025) Spiking Neural Networks: a ...
Robust stabilization of hyperbolic PDE-ODE systems via Neural Operator-approximated gain kernels
K. Lyu, U. Biccari, J. Wang (2025) ...
A Multi-Objective Optimization framework for Decentralized Learning with coordination constraints
Roberto Morales, U. Biccari (2025) A Multi-Objective ...
Sharp numerical approximation of the Hardy constant
L. Ignat, E. Zuazua (2025) Sharp numerical ...
Clustering in Pure-Attention Hardmax Transformers and its Role in Sentiment Analysis
A. Alcalde Zafra, G. Fantuzzi, E. Zuazua ...
A potential game perspective in Federated Learning
K. Liu, Z. Wang, E. Zuazua (2025) ...
Regional and Partial Observability and Control of Waves
B. Dehman, S. Ervedoza, E. Zuazua (2025) ...
Cluster-based classification with neural ODEs via control
A. Alvarez-Lopez, R. Orive-Illera, E. Zuazua (2025) ...
Optimal convergence rates for the finite element approximation of the Sobolev constant
L. Ignat, E. Zuazua (2025) Optimal convergence ...
Boundary observation and control for fractional heat and wave equations
U. Biccari, E. Zuazua (2025) Boundary observation ...
Almost periodic turnpike phenomenon for time-dependent systems
S. Zamorano (2025)Almost periodic turnpike phenomenon for ...
Turnpike in optimal control and beyond: A survey
E. Trélat, E. Zuazua (2025)Turnpike in optimal ...
