Key publications
- D Proverbio, A Skupin and J Gonçalves. Systematic analysis and optimization of early warning signals for critical transitions using distribution data, iScience, Vol. 26, Issue 7, July 2023.
- A Montanari, L Freitas, D Proverbio and J Gonçalves. Functional observability and subspace reconstruction in nonlinear systems, Physical Review Research, Vol. 4, 043195, December 2022.
- D Proverbio, A Montanari, A Skupin and J Gonçalves. Buffering variability in cell regulation motifs close to criticality, Physical Review E, Vol. 106, No. 3, September 2022.
- Z Yue et al. System Aliasing in Dynamic Network Reconstruction: Issues on Low Sampling Frequencies, IEEE Transactions on Automatic Control, Vol. 66, Issue 12, December 2021.
- E Yeung et al. Data-Driven Network Models for Genetic Circuits From Time-Series Data with Incomplete Measurements, Journal of the Royal Society Interface, Vol. 18, No. 182, Sept 2021.
- J Markdahl et al. Almost global convergence to practical synchronization in the generalized Kuramoto model on networks over the n-sphere, Communications Physics, 4, Article number 187, Aug 2021.
- A Aalto et al. Gene regulatory network inference from sparsely sampled noisy data, Nature Communications, 11:3493, 2020.
- A Mauroy and J Gonçalves. Koopman-Based Lifting Techniques for Nonlinear Systems Identification, IEEE Transactions on Automatic Control, Vol. 65, Issue 6, June 2020.
- Li Yan et al. An interpretable mortality prediction model for COVID-19 patients, Nature Machine Intelligence, May 2020.
- Y Yuan et al. Data Driven Discovery of Cyber Physical Systems, Nature Communications, 10:4894, 2019.