Publications

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2021
Adversarial Training is Not Ready for Robot Learning, Lechner, Mathias, Hasani Ramin, Grosu Radu, Rus Daniela, and Henzinger Thomas A. , (2021)
Controllability of voltage- and calcium-driven cardiac alternans in a map model, LM, Munoz, MO Ampofo, and EM Cherry , Chaos, (2021)
Model-Checking Support for File System Development, Su, W., Liu Y., Ganesan G., Holzmann G., Kuenning G., Smolka S. A., and Zadok E. , Proceeding of HotStorage ’21, the 13th ACM Workshop on Hot Topics in Storage and File Systems, 07/2021, (2021)
MPC-guided Imitation Learning of Bayesian Neural Network Policies for the Artificial Pancreas, Chen, H., Paoletti N., Smolka S. A., and Lin S. , Proceedings of CDC 2021, the 60th IEEE Conference on Decision and Control, 12/2021, (2021)
A Network-based Cardiac Electrophysiology Simulator with Realistic Signal Generation and Response to Pacing Maneuvers, Iravanian, Shahriar, Uzelac Ilija, Kaboudian Abouzar, Langberg Jonathan, and Fenton Flavio , Computing in Cardiology, (2021)
Verification of Neural ODEs with Stochastic Guarantees, Gruenbacher, S., Cyranka J., Lechner M., Smolka S. A., and Grosu R. , Proceedings of AAAI-21, 35th AAAI Conference on Artificial Intelligence, 02/2021, (2021)
2020
Automated Synthesis of Safe Digital Controllers for Sampled-Data Stochastic Nonlinear Systems, Shmarov, F., Soudjani S., Paoletti N., Bartocci E., Lin S., Smolka S. A., and Zuliani P. , IEEE Access, (2020)
Data-Driven Robust Control for a Closed-Loop Artificial Pancreas, Paoletti, N., Liu K. S., Chen H., Smolka S. A., and Lin S. , IEEE/ACM Transactions on Computational Biology and Bioinformatics, 11/2020, Volume 17, Issue 6, (2020)
Data-Driven Robust Control for a Closed-Loop Artificial Pancreas, Paoletti, N., Liu K. S., Chen H., Smolka S. A., and Lin S. , IEEE/ACM Transactions on Computational Biology and Bioinformatics, 11/2020, Volume 17, Issue 6, (2020)
Excitable dynamics in neural and cardiac systems, Barrio, Roberto, Coombes Stephen, Desroches Mathieu, Fenton Flavio, Luther Stefan, and Pueyo Esther , Communications in Nonlinear Science and Numerical Simulation, 07/2020, Volume 86, (2020)
Gershgorin Loss Stabilizes the Recurrent Neural Network Compartment of an End-to-end Robot Learning Scheme, Lechner, Mathias, Hasani Ramin, Rus Daniela, and Grosu Radu , 2020 IEEE International Conference on Robotics and Automation (ICRA), (2020)
Lagrangian Reachtubes: The Next Generation, Gruenbacher, Sophie, Cyranka Jacek, Lechner Mathias, Islam Md. Ariful, Smolka Scott A., and Grosu Radu , (2020)
Liquid Time-constant Networks, Hasani, Ramin, Lechner Mathias, Amini Alexander, Rus Daniela, and Grosu Radu , (2020)
A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits, Hasani, Ramin, Lechner Mathias, Amini Alexander, Rus Daniela, and Grosu Radu , Proceedings of the 37th International Conference on Machine Learning, 13–18 Jul, (2020)
Next-Generation Lagrangian Reachtubes, Gruenbacher, S., Cyranka J., Lechner M., Islam Md. A., Smolka S. A., and Grosu R. , Proceedings of CDC 2020, 59th IEEE Conference on Decision and Control, 12/2020, (2020)
Towards Automated Comprehension and Alignment of Cardiac Models at the System Invariant Level, Huang, Samuel, Diep Madeline, Jang Kuk, Cherry Elizabeth M., Fenton Flavio H., Cleaveland Rance, Lindvall Mikael, Mangharam Rahul, and Porter Adam , CSBio'20: Proceedings of the Eleventh International Conference on Computational Systems-Biology and Bioinformatics, (2020)
On The Verification of Neural ODEs with Stochastic Guarantees, Gruenbacher, Sophie, Hasani Ramin, Lechner Mathias, Cyranka Jacek, Smolka Scott A., and Grosu Radu , (2020)
2019
Delay differential equation-based models of cardiac tissue: Efficient implementation and effects on spiral-wave dynamics, Gomes, Johnny Moreira, Lobosco Marcelo, Santos Rodrigo Weber dos, and CHERRY ELIZABETH M. , Chaos: An Interdisciplinary Journal of Nonlinear Science, Volume 29, p.123128, (2019)
From Automated MRI Scan to Finite Elements, Glimm, James, Lim Hyunkyung, Bishop Martin, and Kim Soojin , p.35-48, (2019)  (647.88 KB)
Simulating waves, chaos and synchronization with a microcontroller, Welsh, Andrea J., Delgado Cristian, Lee-Trimble Casey, Kaboudian Abouzar, and Fenton Flavio H. , Chaos: An Interdisciplinary Journal of Nonlinear Science, 12/2019, Volume 29, Issue 12, (2019)
Spatiotemporal correlation uncovers characteristic lengths in cardiac tissue, Loppini, Alessandro, Gizzi Alessio, Cherubini Christian, CHERRY ELIZABETH M., FENTON FLAVIO H., and Filippi Simonetta , Physical Review E, Volume 100, (2019)
2018
Automated Specification Extraction and Analysis with Specstractor, Schulze, Christoph, Cleaveland Rance, and Lindvall Mikael , Software Engineering and Formal Methods - 16th International Conference, {SEFM} 2018, Held as Part of {STAF} 2018, Toulouse, France, June 27-29, 2018, Proceedings, (2018)
Declarative vs Rule-based Control for Flocking Dynamics, Mehmood, Usama, Paoletti Nicola, Phan Dung, Grosu Radu, Lin Shan, Stoller Scott D., Tiwari Ashish, Yang Junxing, and Smolka Scott A. , Proceedings of the 33rd Annual ACM Symposium on Applied Computing, New York, NY, USA, (2018)  (904.24 KB)
Discordant Alternans as a Mechanism for Initiation of Ventricular Fibrillation In Vitro, Munoz, Laura, Gelzer Anna R. M., Fenton Flavio, Qian Wei, Lin WeiYe, Gilmour Robert F., and Otani Niels F. , Journal of the American Heart Association, 09, Volume 7, (2018)  (4.08 MB)
Dynamic Network Model from Partial Observations, K., Elahe Ghalebi, Mirzasoleiman Baharan, Grosu Radu, and Leskovec Jure , CoRR, Volume abs/1805.10616, (2018)  (476.08 KB)

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