Jorge M. Gonçalves

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 46

Top Venues

CoRR

CDC

IEEE Trans. Autom. Control.

Autom.

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

La Mi, Jorge M. Gonçalves, Johan Markdahl
Polarization of Multi-agent Gradient Flows Over Manifolds With Application to Opinion Dynamics. IEEE Trans. Autom. Control. 69 (2) (2024)
La Mi, Jorge M. Gonçalves, Johan Markdahl
Riemannian Polarization of Multi-Agent Gradient Flows. CDC (2023)
La Mi, Jorge M. Gonçalves, Johan Markdahl
Asymptotically stable polarization of multi-agent gradient flows over manifolds. CoRR (2023)
Arthur N. Montanari, Leandro Freitas, Daniele Proverbio, Jorge M. Gonçalves
Functional observability and subspace reconstruction in nonlinear systems. CoRR (2023)
Yasen Wang, Junyang Jin, Jorge M. Gonçalves
Bayesian Inference of Stochastic Dynamical Networks. CoRR (2022)
Zhexuan Zeng, Zuogong Yue, Alexandre Mauroy, Jorge M. Gonçalves, Ye Yuan
A Sampling Theorem for Exact Identification of Continuous-time Nonlinear Dynamical Systems. CDC (2022)
Daniele Proverbio, Françoise Kemp, Stefano Magni, Jorge M. Gonçalves
Performance of early warning signals for disease re-emergence: A case study on COVID-19 data. PLoS Comput. Biol. 18 (3) (2022)
Mehri Baniasadi, Andreas Husch, Daniele Proverbio, Isabel Fernandes Arroteia, Frank Hertel, Jorge M. Gonçalves
Initialisation of Deep Brain Stimulation Parameters with Multi-objective Optimisation Using Imaging Data. Bildverarbeitung für die Medizin (2022)
Jesús Fuentes, Jorge M. Gonçalves
Rényi Entropy in Statistical Mechanics. Entropy 24 (8) (2022)
Zuogong Yue, Johan Thunberg, Wei Pan, Lennart Ljung, Jorge M. Gonçalves
Dynamic network reconstruction from heterogeneous datasets. Autom. 123 (2021)
Mehri Baniasadi, Mikkel V. Petersen, Jorge M. Gonçalves, Andreas Horn, Vanja Vlasov, Frank Hertel, Andreas Husch
DBSegment: Fast and robust segmentation of deep brain structures - Evaluation of transportability across acquisition domains. CoRR (2021)
Zuogong Yue, Johan Thunberg, Lennart Ljung, Ye Yuan, Jorge M. Gonçalves
System Aliasing in Dynamic Network Reconstruction: Issues on Low Sampling Frequencies. IEEE Trans. Autom. Control. 66 (12) (2021)
Vanja Vlasov, Marie Bofferding, Loïc Marx, Chencheng Zhang, Jorge M. Gonçalves, Andreas Husch, Frank Hertel
Automated Deep Learning-based Segmentation of Brain, SEEG and DBS Electrodes on CT Images. Bildverarbeitung für die Medizin (2021)
Junyang Jin, Ye Yuan, Jorge M. Gonçalves
A Full Bayesian Approach to Sparse Network Inference Using Heterogeneous Datasets. IEEE Trans. Autom. Control. 66 (7) (2021)
Ye Yuan, Jorge M. Gonçalves, Yan Xiao, Hai-Tao Zhang, Hui Xu, Zhiguo Cao
Reply to: Clinical interpretation of an interpretable prognostic model for patients with COVID-19. Nat. Mach. Intell. 3 (1) (2021)
Li Yan, Jorge M. Gonçalves, Hai-Tao Zhang, Shusheng Li, Ye Yuan
Reply to: Consider the laboratory aspects in developing patient prediction models. Nat. Mach. Intell. 3 (1) (2021)
Jorge M. Gonçalves, Li Yan, Hai-Tao Zhang, Yang Xiao, Maolin Wang, Yuqi Guo, Chuan Sun, Xiuchuan Tang, Zhiguo Cao, Shusheng Li, Hui Xu, Cheng Cheng, Junyang Jin, Ye Yuan
Li Yan et al. reply. Nat. Mach. Intell. 3 (1) (2021)
Junyang Jin, Ye Yuan, Jorge M. Gonçalves
High precision variational Bayesian inference of sparse linear networks. Autom. 118 (2020)
Mehri Baniasadi, Daniele Proverbio, Jorge M. Gonçalves, Frank Hertel, Andreas Husch
FastField: An open-source toolbox for efficient approximation of deep brain stimulation electric fields. NeuroImage 223 (2020)
Alexandre Mauroy, Jorge M. Gonçalves
Koopman-Based Lifting Techniques for Nonlinear Systems Identification. IEEE Trans. Autom. Control. 65 (6) (2020)
Li Yan, Hai-Tao Zhang, Jorge M. Gonçalves, Yang Xiao, Maolin Wang, Yuqi Guo, Chuan Sun, Xiuchuan Tang, Liang Jing, Mingyang Zhang, Xiang Huang, Ying Xiao, Haosen Cao, Yanyan Chen, Tongxin Ren, Fang Wang, Yaru Xiao, Sufang Huang, Xi Tan, Niannian Huang, Bo Jiao, Cheng Cheng, Yong Zhang, Ailin Luo, Laurent Mombaerts, Junyang Jin, Zhiguo Cao, Shusheng Li, Hui Xu, Ye Yuan
An interpretable mortality prediction model for COVID-19 patients. Nat. Mach. Intell. 2 (5) (2020)
Junyang Jin, Ye Yuan, Jorge M. Gonçalves
High Precision Variational Bayesian Inference of Sparse Linear Networks. CoRR (2019)
Zuogong Yue, Johan Thunberg, Jorge M. Gonçalves
Network Stability, Realisation and Random Model Generation. CDC (2019)
Laurent Mombaerts, Alberto Carignano, Fiona C. Robertson, Timothy J. Hearn, Jin Junyang, David P. Hayden, Zoe Rutterford, Carlos T. Hotta, Katherine E. Hubbard, Marti Ruiz C. Maria, Ye Yuan, Matthew A. Hannah, Jorge M. Gonçalves, Alex Webb
Dynamical differential expression (DyDE) reveals the period control mechanisms of the Arabidopsis circadian oscillator. PLoS Comput. Biol. 15 (1) (2019)
Junyang Jin, Ye Yuan, Jorge M. Gonçalves
A Full Bayesian Approach to Sparse Network Inference using Heterogeneous Datasets. CoRR (2019)
Ye Yuan, Junlin Li, Liang Li, Frank Jiang, Xiuchuan Tang, Fumin Zhang, Sheng Liu, Jorge M. Gonçalves, Henning U. Voss, Xiuting Li, Jürgen Kurths, Han Ding
Machine Discovery of Partial Differential Equations from Spatiotemporal Data. CoRR (2019)
Ye Yuan, Xiuchuan Tang, Wei Pan, Xiuting Li, Wei Zhou, Hai-Tao Zhang, Han Ding, Jorge M. Gonçalves
Data-driven Discovery of Cyber-Physical Systems. CoRR (2018)
Wei Pan, Ye Yuan, Lennart Ljung, Jorge M. Gonçalves, Guy-Bart Stan
Identification of Nonlinear State-Space Systems From Heterogeneous Datasets. IEEE Trans. Control. Netw. Syst. 5 (2) (2018)
David P. Hayden, Ye Yuan, Jorge M. Gonçalves
Network Identifiability from Intrinsic Noise. IEEE Trans. Autom. Control. 62 (8) (2017)
Junyang Jin, Ye Yuan, Wei Pan, Claire J. Tomlin, Alex Webb, Jorge M. Gonçalves
Identification of nonlinear sparse networks using sparse Bayesian learning. CDC (2017)
Johan Thunberg, Florian Bernard, Jorge M. Gonçalves
Distributed methods for synchronization of orthogonal matrices over graphs. CoRR (2017)
Ye Yuan, Anurag Rai, Enoch Yeung, Guy-Bart Stan, Sean Warnick, Jorge M. Gonçalves
A Minimal Realization Technique for the Dynamical Structure Function of a Class of LTI Systems. IEEE Trans. Control. Netw. Syst. 4 (2) (2017)
Johan Thunberg, Florian Bernard, Jorge M. Gonçalves
Distributed methods for synchronization of orthogonal matrices over graphs. Autom. 80 (2017)
Ye Yuan, Ling Shi, Jun Liu, Zhiyong Chen, Hai-Tao Zhang, Jorge M. Gonçalves
Distributed Kalman filtering with minimum-time consensus algorithm. CoRR (2017)
Florian Bernard, Luis Salamanca, Johan Thunberg, Alexander Tack, Dennis Jentsch, Hans Lamecker, Stefan Zachow, Frank Hertel, Jorge M. Gonçalves, Peter Gemmar
Shape-aware surface reconstruction from sparse 3D point-clouds. Medical Image Anal. 38 (2017)
Johan Thunberg, Xiaoming Hu, Jorge M. Gonçalves
Local Lyapunov Functions for Consensus in Switching Nonlinear Systems. IEEE Trans. Autom. Control. 62 (12) (2017)
Zuogong Yue, Johan Thunberg, Jorge M. Gonçalves
Inverse Problems for Matrix Exponential in System Identification: System Aliasing. CoRR (2016)
Zuogong Yue, Johan Thunberg, Lennart Ljung, Jorge M. Gonçalves
Identification of Sparse Continuous-Time Linear Systems with Low Sampling Rate: Exploring Matrix Logarithms. CoRR (2016)
Florian Bernard, Peter Gemmar, Frank Hertel, Jorge M. Gonçalves, Johan Thunberg
Linear Shape Deformation Models with Local Support Using Graph-Based Structured Matrix Factorisation. CVPR (2016)
Johan Thunberg, Jorge M. Gonçalves, Xiaoming Hu
Consensus and formation control on SE(3) for switching topologies. Autom. 66 (2016)
Junyang Jin, Ye Yuan, Wei Pan, Duong L. T. Pham, Claire J. Tomlin, Alex Webb, Jorge M. Gonçalves
On Identification of Sparse Multivariable ARX Model: A Sparse Bayesian Learning Approach. CoRR (2016)
Wei Pan, Ye Yuan, Jorge M. Gonçalves, Guy-Bart Stan
A Sparse Bayesian Approach to the Identification of Nonlinear State-Space Systems. IEEE Trans. Autom. Control. 61 (1) (2016)
Zuogong Yue, Johan Thunberg, Wei Pan, Lennart Ljung, Jorge M. Gonçalves
Linear Dynamic Network Reconstruction from Heterogeneous Datasets. CoRR (2016)
Junyang Jin, Wei Pan, Duong L. T. Pham, Ye Yuan, Claire J. Tomlin, Alex Webb, Jorge M. Gonçalves
On Identification of Dynamical Structure Functions: A Sparse Bayesian Learning Approach. CoRR (2016)
Florian Bernard, Luis Salamanca, Johan Thunberg, Alexander Tack, Dennis Jentsch, Hans Lamecker, Stefan Zachow, Frank Hertel, Jorge M. Gonçalves, Peter Gemmar
Shape-aware Surface Reconstruction from Sparse Data. CoRR (2016)
Florian Bernard, Nikos Vlassis, Peter Gemmar, Andreas Husch, Johan Thunberg, Jorge M. Gonçalves, Frank Hertel
Fast correspondences for statistical shape models of brain structures. Medical Imaging: Image Processing (2016)
Florian Bernard, Peter Gemmar, Frank Hertel, Jorge M. Gonçalves, Johan Thunberg
Linear Shape Deformation Models with Local Support Using Graph-based Structured Matrix Factorisation. CoRR (2015)
Zuogong Yue, Johan Thunberg, Ye Yuan, Jorge M. Gonçalves
Dynamical Structure Function and Granger Causality: Similarities and differences. CDC (2015)
Wei Pan, Ye Yuan, Henrik Sandberg, Jorge M. Gonçalves, Guy-Bart Stan
Online fault diagnosis for nonlinear power systems. Autom. 55 (2015)
Alberto Carignano, Jin Junyang, Alex Webb, Jorge M. Gonçalves
Assessing the effect of unknown widespread perturbations in complex systems using the ν-gap. CDC (2015)
Johan Thunberg, Xiaoming Hu, Jorge M. Gonçalves
Consensus and Formation Control on SE(3) for Switching Topologies. CoRR (2015)
Wei Pan, Ye Yuan, Lennart Ljung, Jorge M. Gonçalves, Guy-Bart Stan
Identifying Biochemical Reaction Networks From Heterogeneous Datasets. CoRR (2015)
Wei Pan, Ye Yuan, Lennart Ljung, Jorge M. Gonçalves, Guy-Bart Stan
Identifying biochemical reaction networks from heterogeneous datasets. CDC (2015)
Florian Bernard, Johan Thunberg, Peter Gemmar, Frank Hertel, Andreas Husch, Jorge M. Gonçalves
A solution for multi-alignment by transformation synchronisation. CVPR (2015)
Enoch Yeung, Jongmin Kim, Jorge M. Gonçalves, Richard M. Murray
Global network identification from reconstructed dynamical structure subnetworks: Applications to biochemical reaction networks. CDC (2015)
Ania A. Baetica, Ye Yuan, Jorge M. Gonçalves, Richard M. Murray
A stochastic framework for the design of transient and steady state behavior of biochemical reaction networks. CDC (2015)
Johan Thunberg, Florian Bernard, Jorge M. Gonçalves
On Transitive Consistency for Linear Invertible Transformations between Euclidean Coordinate Systems. CoRR (2015)
Ye Yuan, Keith Glover, Jorge M. Gonçalves
On minimal realisations of dynamical structure functions. Autom. 55 (2015)
David P. Hayden, Ye Yuan, Jorge M. Gonçalves
Network reconstruction from intrinsic noise: Minimum-phase systems. ACC (2014)
Florian Bernard, Johan Thunberg, Peter Gemmar, Frank Hertel, Andreas Husch, Jorge M. Gonçalves
A Solution for Multi-Alignment by Transformation Synchronisation. CoRR (2014)
Ye Yuan, Jorge M. Gonçalves
On minimal realisations of dynamical structure functions. CoRR (2014)
Qingqing Huang, Ye Yuan, Jorge M. Gonçalves, Munther A. Dahleh
H2 norm based network volatility measures. ACC (2014)
Tao Yang, Ye Yuan, Kezhi Li, Jorge M. Gonçalves, Karl Henrik Johansson
Finite-time road grade computation for a vehicle platoon. CDC (2014)
David P. Hayden, Ye Yuan, Jorge M. Gonçalves
Network reconstruction using knock-out and over-expression data. ECC (2013)
David P. Hayden, Ye Yuan, Jorge M. Gonçalves
Network Reconstruction from Intrinsic Noise. CoRR (2013)
Wei Pan, Ye Yuan, Henrik Sandberg, Jorge M. Gonçalves, Guy-Bart Stan
Real-time fault diagnosis for large-scale nonlinear power networks. CDC (2013)
Jerry Thia, Ye Yuan, Ling Shi, Jorge M. Gonçalves
Distributed Kalman Filter with minimum-time covariance computation. CDC (2013)
Enoch Yeung, Jongmin Kim, Ye Yuan, Jorge M. Gonçalves, Richard M. Murray
Quantifying crosstalk in biochemical systems. CDC (2012)
Ye Yuan, Jun Liu, Richard M. Murray, Jorge M. Gonçalves
Decentralised minimal-time dynamic consensus. ACC (2012)
Enoch Yeung, Jorge M. Gonçalves, Henrik Sandberg, Sean Warnick
Mathematical relationships between representations of structure in linear interconnected dynamical systems. ACC (2011)
Robert Tonita, Ioannis Lestas, Jorge M. Gonçalves, Glenn Vinnicombe
Fluctuations and limitations of a multi-sector economic model with delays. ACC (2010)
Nuno C. Martins, Jorge M. Gonçalves
A Linear Programming Approach to Parameter Fitting for the Master Equation. IEEE Trans. Autom. Control. 54 (10) (2009)
Robert Tonita, Jorge M. Gonçalves, Glenn Vinnicombe
Heterogeneous agent models in economics: A study of heterogenous productivity of sectors. ACC (2008)
Jorge M. Gonçalves, Russell Howes, Sean Warnick
Dynamical structure functions for the reverse engineering of LTI networks. CDC (2007)
Guy-Bart Stan, Abdullah Omar Hamadeh, Rodolphe Sepulchre, Jorge M. Gonçalves
Output synchronization in networks of cyclic biochemical oscillators. ACC (2007)
Damien Ernst, Guy-Bart Stan, Jorge M. Gonçalves, Louis Wehenkel
Clinical data based optimal STI strategies for HIV: a reinforcement learning approach. CDC (2006)
Jorge M. Gonçalves
Regions of stability for limit cycle oscillations in piecewise linear systems. IEEE Trans. Autom. Control. 50 (11) (2005)
Jorge M. Gonçalves, Alexandre Megretski, Munther A. Dahleh
Global analysis of piecewise linear systems using impact maps and surface Lyapunov functions. IEEE Trans. Autom. Control. 48 (12) (2003)
Jorge M. Gonçalves, Alexandre Megretski, Munther A. Dahleh
Global stability of relay feedback systems. IEEE Trans. Autom. Control. 46 (4) (2001)
Jorge M. Gonçalves, Munther A. Dahleh
Necessary Conditions for Robust Stability of a Class of Nonlinear Systems. Autom. 34 (6) (1998)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jorge M. Gonçalves