Articles with public access mandates - Donatello MaterassiLearn more
Not available anywhere: 7
Granger-causality meets causal inference in graphical models: Learning networks via non-invasive observations
M Dimovska, D Materassi
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 5268-5273, 2017
Mandates: US National Science Foundation
Revisiting Kalman and Aizerman conjectures via a graphical interpretation
T Naderi, D Materassi, G Innocenti, R Genesio
IEEE Transactions on Automatic Control 64 (2), 670-682, 2018
Mandates: US National Science Foundation, US Department of Energy
Using Viterbi and Kalman to detect topological changes in dynamic networks
JAWB Costanzo, D Materassi, B Sinopoli
2017 American Control Conference (ACC), 5410-5415, 2017
Mandates: US National Science Foundation
Inferring link changes in dynamic networks through power spectral density variations
JAWB Costanzo, D Materassi, B Sinopoli
2017 55th Annual Allerton Conference on Communication, Control, and …, 2017
Mandates: US National Science Foundation
An efficient network reconstruction method and applications
M Dimovska, D Materassi
IFAC-PapersOnLine 54 (7), 49-54, 2021
Mandates: US National Science Foundation
Explaining complex systems: a tutorial on transparency and interpretability in machine learning models (part I)
D Materassi, S Warnick, C Rojas, M Schoukens, E Cross
IFAC-PapersOnLine 58 (15), 492-496, 2024
Mandates: European Commission
Explaining complex systems: a tutorial on transparency and interpretability in machine learning models (part II)
D Materassi, S Warnick, C Rojas, M Schoukens, E Cross
IFAC-PapersOnLine 58 (15), 497-501, 2024
Mandates: European Commission
Available somewhere: 18
Signal selection for estimation and identification in networks of dynamic systems: A graphical model approach
D Materassi, MV Salapaka
IEEE Transactions on Automatic Control 65 (10), 4138-4153, 2019
Mandates: US National Science Foundation, US Department of Energy
Detection of steps in single molecule data
T Aggarwal, D Materassi, R Davison, T Hays, M Salapaka
Cellular and molecular bioengineering 5, 14-31, 2012
Mandates: US National Institutes of Health
Exact topology reconstruction of radial dynamical systems with applications to distribution system of the power grid
S Talukdar, D Deka, D Materassi, M Salapaka
2017 American Control Conference (ACC), 813-818, 2017
Mandates: US Department of Energy
Physics informed topology learning in networks of linear dynamical systems
S Talukdar, D Deka, H Doddi, D Materassi, M Chertkov, MV Salapaka
Automatica 112, 108705, 2020
Mandates: US Department of Energy
Conditions for handling confounding variables in dynamic networks
A Dankers, PMJ Van den Hof, D Materassi, HHM Weerts
IFAC-PapersOnLine 50 (1), 3983-3988, 2017
Mandates: European Commission
Blind learning of tree network topologies in the presence of hidden nodes
F Sepehr, D Materassi
IEEE Transactions on Automatic Control 65 (3), 1014-1028, 2019
Mandates: US National Science Foundation
A control theoretic look at granger causality: extending topology reconstruction to networks with direct feedthroughs
M Dimovska, D Materassi
IEEE Transactions on Automatic Control 66 (2), 699-713, 2020
Mandates: US National Science Foundation
An exact approach for studying cargo transport by an ensemble of molecular motors
D Materassi, S Roychowdhury, T Hays, M Salapaka
BMC biophysics 6, 1-18, 2013
Mandates: US National Institutes of Health
An algorithm to learn polytree networks with hidden nodes
F Sepehr, D Materassi
Advances in Neural Information Processing Systems 32, 2019
Mandates: US National Science Foundation
Optimal selection of observations for identification of multiple modules in dynamic networks
S Jahandari, D Materassi
IEEE Transactions on Automatic Control 67 (9), 4703-4716, 2022
Mandates: US National Science Foundation
Sufficient and necessary graphical conditions for miso identification in networks with observational data
S Jahandari, D Materassi
IEEE Transactions on Automatic Control 67 (11), 5932-5947, 2021
Mandates: US National Science Foundation
Interrogating emergent transport properties for molecular motor ensembles: A semi-analytical approach
S Bhaban, D Materassi, M Li, T Hays, M Salapaka
PLoS computational biology 12 (11), e1005152, 2016
Mandates: US National Science Foundation, US National Institutes of Health
Learning the exact topology of undirected consensus networks
S Talukdar, D Deka, S Attree, D Materassi, M Salapaka
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 5784-5789, 2017
Mandates: US Department of Energy
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