Model-derived causal explanations are inherently constrained by hidden assumptions and context: The example of Baltic cod dynamics. - Thomas Banitz; Maja Schlüter; Emilie B. Lindkvist; Sonja Radosavljevic; Lars-Göran Johansson; Petri Ylikoski; Rodrigo Martínez-Peña; Volker Grimm (Environ. Model. Softw., 2022)

High-Performance Reservoir Computing With Fluctuations in Linear Networks. - Johannes Nokkala; Rodrigo Martínez-Peña; Roberta Zambrini; Miguel C. Soriano (IEEE Trans. Neural Networks Learn. Syst., 2022)

Information Processing Capacity of Spin-Based Quantum Reservoir Computing Systems. - Rodrigo Martínez-Peña; Johannes Nokkala; Gian Luca Giorgi; Roberta Zambrini; Miguel C. Soriano (Cogn. Comput., 2023)

Dissipation as a resource for Quantum Reservoir Computing. - Antonio Sannia; Rodrigo Martínez-Peña; Miguel C. Soriano; Gian Luca Giorgi; Roberta Zambrini (Quantum, 2024)

Navigating the space between empirics and theory - Empirically stylized modelling for theorising social-ecological phenomena. - Maja Schlüter; Nanda Wijermans; Blanca González-Mon; Emilie B. Lindkvist; Kirill Orach; Hannah Prawitz; Romina Martin; Rodrigo Martínez-Peña; Kara E. Pellowe; Udita Sanga (Environ. Model. Softw., 2025)

A tensor network approach for chaotic time series prediction. - Rodrigo Martínez-Peña; Román Orús (CoRR, 2025)

Feedback-driven recurrent quantum neural network universality. - Lukas Gonon; Rodrigo Martínez-Peña; Juan-Pablo Ortega (CoRR, 2025)