Dissipativity characterization of a class of oscillators and networks of oscillators. - Guy-Bart Stan; Rodolphe Sepulchre (CDC, 2003)

Feedback mechanisms for global oscillations in Lure systems. - Rodolphe Sepulchre; Guy-Bart Stan (Syst. Control. Lett., 2005)

Clinical data based optimal STI strategies for HIV: a reinforcement learning approach. - Damien Ernst; Guy-Bart Stan; Jorge M. Gonçalves; Louis Wehenkel (CDC, 2006)

Output synchronization in networks of cyclic biochemical oscillators. - Guy-Bart Stan; Abdullah Omar Hamadeh; Rodolphe Sepulchre; Jorge M. Gonçalves (ACC, 2007)

Analysis of Interconnected Oscillators by Dissipativity Theory. - Guy-Bart Stan; Rodolphe Sepulchre (IEEE Trans. Autom. Control., 2007)

Robust synchronization in networks of cyclic feedback systems. - Abdullah Omar Hamadeh; Guy-Bart Stan; Jorge M. Gonçalves (CDC, 2008)

Dynamical structure analysis of sparsity and minimality heuristics for reconstruction of biochemical networks. - Russell Howes; Lee John Eccleston; Jorge M. Gonçalves; Guy-Bart Stan; Sean Warnick (CDC, 2008)

Decentralised final value theorem for discrete-time LTI systems with application to minimal-time distributed consensus. - Ye Yuan 002; Guy-Bart Vincent Stan; Ling Shi 001; Jorge M. Gonçalves (CDC, 2009)

Minimal dynamical structure realisations with application to network reconstruction from data. - Ye Yuan 002; Guy-Bart Vincent Stan; Sean Warnick; Jorge M. Gonçalves (CDC, 2009)

Constructive synchronization of networked feedback systems. - Abdullah Omar Hamadeh; Guy-Bart Stan; Jorge M. Gonçalves (CDC, 2010)

Robust dynamical network reconstruction. - Ye Yuan 002; Guy-Bart Stan; Sean Warnick; Jorge M. Gonçalves (CDC, 2010)

Networks of passive oscillators. - Vishwesh V. Kulkarni; Marc D. Riedel; Guy-Bart Stan (Allerton, 2011)

Decentralised minimal-time consensus. - Ye Yuan 002; Guy-Bart Stan; Mauricio Barahona; Ling Shi 001; Jorge M. Gonçalves (CDC/ECC, 2011)

Robust dynamical network structure reconstruction. - Ye Yuan 002; Guy-Bart Stan; Sean Warnick; Jorge M. Gonçalves (Autom., 2011)

Fast Consensus Via Predictive Pinning Control. - Hai-Tao Zhang; Michael Z. Q. Chen; Guy-Bart Stan (IEEE Trans. Circuits Syst. I Regul. Pap., 2011)

Design tradeoffs in a synthetic gene control circuit for metabolic networks. - Diego A. Oyarzún; Guy-Bart Stan (ACC, 2012)

Dynamical structure function identifiability conditions enabling signal structure reconstruction. - J. Adebayo; T. Southwick; Vasu Chetty; Enoch Yeung; Ye Yuan 002; Jorge M. Gonçalves; Julianne H. Grose; J. Prince; Guy-Bart Stan; Sean Warnick (CDC, 2012)

Design constraints in an operon circuit for engineered control of metabolic networks. - Diego A. Oyarzún; Guy-Bart Stan (CDC, 2012)

Reconstruction of arbitrary biochemical reaction networks: A compressive sensing approach. - Wei Pan 004; Ye Yuan 002; Jorge M. Gonçalves; Guy-Bart Stan (CDC, 2012)

Reconstruction of Arbitrary Biochemical Reaction Networks: A Compressive Sensing Approach - Wei Pan 004; Ye Yuan 002; Guy-Bart Stan (CoRR, 2012)

Minimal realization of the dynamical structure function and its application to network reconstruction - Ye Yuan 002; Guy-Bart Stan; Sean Warnick; Jorge M. Gonçalves (CoRR, 2012)

Arterial reservoir-excess pressure and ventricular work. - Kim H. Parker; Jordi Alastruey; Guy-Bart Stan (Medical Biol. Eng. Comput., 2012)

Global State Synchronization in Networks of Cyclic Feedback Systems. - Abdullah Omar Hamadeh; Guy-Bart Stan; Rodolphe Sepulchre; Jorge M. Gonçalves (IEEE Trans. Autom. Control., 2012)

Real-time fault diagnosis for large-scale nonlinear power networks. - Wei Pan 004; Ye Yuan 002; Henrik Sandberg; Jorge M. Gonçalves; Guy-Bart Stan (CDC, 2013)

On periodic reference tracking using batch-mode reinforcement learning with application to gene regulatory network control. - Aivar Sootla; Natalja Strelkowa; Damien Ernst; Mauricio Barahona; Guy-Bart Stan (CDC, 2013)

Stochastic simulation of enzymatic reactions under transcriptional feedback regulation. - Jean-Baptiste Lugagne; Diego A. Oyarzún; Guy-Bart Stan (ECC, 2013)

Control of protein concentrations in heterogeneous cell populations. - Alejandro Vignoni; Diego A. Oyarzún; Jesús Picó; Guy-Bart Stan (ECC, 2013)

Decentralised minimum-time consensus. - Ye Yuan 002; Guy-Bart Stan; Ling Shi 001; Mauricio Barahona; Jorge M. Gonçalves (Autom., 2013)

Toggling a Genetic Switch Using Reinforcement Learning - Aivar Sootla; Natalja Strelkowa; Damien Ernst; Mauricio Barahona; Guy-Bart Stan (CoRR, 2013)

Modelling essential interactions between synthetic genes and their chassis cell. - Rhys J. R. Algar; Tom Ellis; Guy-Bart Stan (CDC, 2014)

Distributed Reconstruction of Nonlinear Networks: An ADMM Approach. - Wei Pan 004; Aivar Sootla; Guy-Bart Stan (CoRR, 2014)

Shaping Pulses to Control Multi-Stable Biological Systems. - Aivar Sootla; Diego A. Oyarzún; David Angeli; Guy-Bart Stan (CoRR, 2014)

Shaping pulses to control bistable biological systems. - Aivar Sootla; Diego A. Oyarzún; David Angeli; Guy-Bart Stan (ACC, 2015)

Identifying biochemical reaction networks from heterogeneous datasets. - Wei Pan 004; Ye Yuan 002; Lennart Ljung; Jorge M. Gonçalves; Guy-Bart Stan (CDC, 2015)

Online fault diagnosis for nonlinear power systems. - Wei Pan 004; Ye Yuan 002; Henrik Sandberg; Jorge M. Gonçalves; Guy-Bart Stan (Autom., 2015)

Online model selection for synthetic gene networks. - Wei Pan 004; Filippo Menolascina; Guy-Bart Stan (CDC, 2016)

Biomolecular implementation of nonlinear system theoretic operators. - Mathias Foo; Rucha Sawlekar; Jongmin Kim 001; Declan G. Bates; Guy-Bart Stan; Vishwesh V. Kulkarni (ECC, 2016)

Shaping pulses to control bistable systems: Analysis, computation and counterexamples. - Aivar Sootla; Diego A. Oyarzún; David Angeli; Guy-Bart Stan (Autom., 2016)

Bounding Stationary Averages of Polynomial Diffusions via Semidefinite Programming. - Juan Kuntz; Michela Ottobre; Guy-Bart Stan; Mauricio Barahona (SIAM J. Sci. Comput., 2016)

A Sparse Bayesian Approach to the Identification of Nonlinear State-Space Systems. - Wei Pan 004; Ye Yuan 002; Jorge M. Gonçalves; Guy-Bart Stan (IEEE Trans. Autom. Control., 2016)

A Minimal Realization Technique for the Dynamical Structure Function of a Class of LTI Systems. - Ye Yuan 002; Anurag Rai; Enoch Yeung; Guy-Bart Stan; Sean Warnick; Jorge M. Gonçalves (IEEE Trans. Control. Netw. Syst., 2017)

Characterization of Biologically Relevant Network Structures form Time-series Data. - Zoltán A. Tuza; Guy-Bart Stan (CDC, 2018)

Global Network Prediction from Local Node Dynamics. - Neave O'Clery; Ye Yuan 002; Guy-Bart Stan; Mauricio Barahona (CoRR, 2018)

Synthetic Biology Open Language Visual (SBOL Visual) Version 2.0. - Robert Sidney Cox III; Curtis Madsen; James Alastair McLaughlin; Tramy Nguyen; Nicholas Roehner; Bryan Bartley; Swapnil Bhatia; Mike Bissell; Kevin Clancy; Thomas E. Gorochowski; Raik Grünberg; Augustin Luna; et al. (J. Integr. Bioinform., 2018)

Identification of Nonlinear State-Space Systems From Heterogeneous Datasets. - Wei Pan 004; Ye Yuan 002; Lennart Ljung; Jorge M. Gonçalves; Guy-Bart Stan (IEEE Trans. Control. Netw. Syst., 2018)

An Automatic Sparse Model Estimation Method Guided by Constraints That Encode System Properties. - Zoltán A. Tuza; Guy-Bart Stan (ECC, 2019)

Synthetic Biology Open Language Visual (SBOL Visual) Version 2.1. - Curtis Madsen; Ángel Goñi-Moreno; Zachary Palchick; Umesh P; Nicholas Roehner; Bryan Bartley; Swapnil Bhatia; Shyam Bhakta; Mike Bissell; Kevin Clancy; Robert Sidney Cox III; Thomas E. Gorochowski; et al. (J. Integr. Bioinform., 2019)

The Exit Time Finite State Projection Scheme: Bounding Exit Distributions and Occupation Measures of Continuous-Time Markov Chains. - Juan Kuntz; Philipp Thomas; Guy-Bart Stan; Mauricio Barahona (SIAM J. Sci. Comput., 2019)

Synthetic biology open language visual (SBOL visual) version 2.2. - Hasan Baig; Pedro Fontanarrosa; Vishwesh Kulkarni 002; James Alastair McLaughlin; Prashant Vaidyanathan; Bryan Bartley; Swapnil Bhatia; Shyam Bhakta; Michael Bissell; Kevin Clancy; Robert Sidney Cox III; Ángel Goñi-Moreno; et al. (J. Integr. Bioinform., 2020)

Synthetic biology open language visual (SBOL Visual) version 2.3. - Hasan Baig; Pedro Fontanarossa; Vishwesh Kulkarni 002; James Alastair McLaughlin; Prashant Vaidyanathan; Bryan Bartley; Shyam Bhakta; Swapnil Bhatia; Mike Bissell; Kevin Clancy; Robert Sidney Cox III; Ángel Goñi-Moreno; et al. (J. Integr. Bioinform., 2021)

Approximations of Countably Infinite Linear Programs over Bounded Measure Spaces. - Juan Kuntz; Philipp Thomas; Guy-Bart Stan; Mauricio Barahona (SIAM J. Optim., 2021)

Stationary Distributions of Continuous-Time Markov Chains: A Review of Theory and Truncation-Based Approximations. - Juan Kuntz; Philipp Thomas; Guy-Bart Stan; Mauricio Barahona (SIAM Rev., 2021)

Robust set-point regulation of gene expression using resource competition couplings in mammalian cells. - Giansimone Perrino; Guy-Bart Stan (ACC, 2022)

Exploiting Resource Constraints for Controlling Biomolecular Circuits. - Abhilash Patel; Guy-Bart Stan (CDC, 2023)

Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs. - Zehui Li; Xiangyu Zhao; Mingzhu Shen; Guy-Bart Stan; Pietro Liò; Yiren Zhao (CoRR, 2023)

Genomic Interpreter: A Hierarchical Genomic Deep Neural Network with 1D Shifted Window Transformer. - Zehui Li; Akashaditya Das; William A. V. Beardall; Yiren Zhao; Guy-Bart Stan (CoRR, 2023)

Latent Diffusion Model for DNA Sequence Generation. - Zehui Li; Yuhao Ni; Tim August B. Huygelen; Akashaditya Das; Guoxuan Xia; Guy-Bart Stan; Yiren Zhao (CoRR, 2023)

Parsley: a web app for parsing data from plate readers. - Eszter Csibra; Guy-Bart Stan (Bioinform., 2023)

Enhancing Node Representations for Real-World Complex Networks with Topological Augmentation. - Xiangyu Zhao; Zehui Li; Mingzhu Shen; Guy-Bart Stan; Pietro Liò; Yiren Zhao (ECAI, 2024)

Absorb & Escape: Overcoming Single Model Limitations in Generating Heterogeneous Genomic Sequences. - Zehui Li; Yuhao Ni; Guoxuan Xia; William A. V. Beardall; Akashaditya Das; Guy-Bart Stan; Yiren Zhao (NeurIPS, 2024)

GV-Rep: A Large-Scale Dataset for Genetic Variant Representation Learning. - Zehui Li; Vallijah Subasri; Guy-Bart Stan; Yiren Zhao; Bo Wang (NeurIPS, 2024)

DiscDiff: Latent Diffusion Model for DNA Sequence Generation. - Zehui Li; Yuhao Ni; William A. V. Beardall; Guoxuan Xia; Akashaditya Das; Guy-Bart Stan; Yiren Zhao (CoRR, 2024)

Enhancing Real-World Complex Network Representations with Hyperedge Augmentation. - Xiangyu Zhao; Zehui Li; Mingzhu Shen; Guy-Bart Stan; Pietro Liò; Yiren Zhao (CoRR, 2024)

Absorb & Escape: Overcoming Single Model Limitations in Generating Genomic Sequences. - Zehui Li; Yuhao Ni; Guoxuan Xia; William A. V. Beardall; Akashaditya Das; Guy-Bart Stan; Yiren Zhao (CoRR, 2024)

Omni-DNA: A Unified Genomic Foundation Model for Cross-Modal and Multi-Task Learning. - Zehui Li; Vallijah Subasri; Yifei Shen; Dongsheng Li; Yiren Zhao; Guy-Bart Stan; Caihua Shan (CoRR, 2025)