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V

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)

On The Verification of Neural ODEs with Stochastic Guarantees, Gruenbacher, Sophie, Hasani Ramin, Lechner Mathias, Cyranka Jacek, Smolka Scott A., and Grosu Radu , (2020)

T

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)

S

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)

SMT-based Synthesis of Safe and Robust PID Controllers for Stochastic Hybrid Systems, Shmarov, Fedor, Paoletti Nicola, Bartocci Ezio, Lin Shan, Smolka Scott, and Zuliani Paolo , Haifa Verification Conference, to appear, (2017)

Simultaneous Quantification of Spatially Discordant Alternans in Voltage and Intracellular Calcium in Langendorff-Perfused Rabbit Hearts and Inconsistencies with Models of Cardiac Action Potentials and Ca Transients, Uzelac, Ilija, Ji Yanyan C., Hornung Daniel, Schröder-Scheteling Johannes, Luther Stefan, Gray Richard A., CHERRY ELIZABETH M., and FENTON FLAVIO H. , Frontiers in Physiology, Volume 8, (2017)

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)

SHARP BOUNDARY ELECTROCARDIAC SIMULATIONS, XUE, SHUAI, LIM HYUNKYUNG, GLIMM JAMES, FENTON FLAVIO H., and CHERRY ELIZABETH M. , Stony Brook, (2016)

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R

The role of conductivity discontinuities in design of cardiac defibrillation, Lim, Hyunkyung, Cun Wenjing, Wang Yue, Gray Richard A., and Glimm James , Chaos: An Interdisciplinary Journal of Nonlinear Science, Volume 28, p.013106, (2018)

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The role of conductivity discontinuities in design of cardiac debrillation, LIM, HYUNKYUNG, Cun Wenjing, Gray Richard A., and GLIMM JAMES , (2017)

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O

An Optimization-Based Algorithm for the Construction of Cardiac Purkinje Network Models, Ulysses, Jesuliana N., Berg Lucas A., CHERRY ELIZABETH M., Liu Ben R., Santos Rodrigo W. dos, de Barros Bruno G., Rocha Bernardo M., and de Queiroz Rafael A. B. , IEEE Transactions on Biomedical Engineering, Volume 65, p.2760–2768, (2018)

OpenUAV: A UAV Testbed for the CPS and Robotics Community, Schmittle, Matt, Lukina Anna, Vacek Lukas, Das Jnaneshwar, Buskirk Christopher P., Rees Stephen, Sztipanovits Janos, Grosu Radu, and Kumar Vijay , Proceedings of the 9th ACM/IEEE International Conference on Cyber-Physical Systems, Piscataway, NJ, USA, (2018)

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N

A novel ICD morphology discriminator to improve discrimination between Ventricular and Supraventricular tachycardias, Abbas, H., Jang K.J., Liang J., Dixit S., and Mangharam R. , In Heart Rhythm Scientific Sessions, Chicago, 05/2017, (2017)

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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)

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)

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)

M

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)

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)

L

Liquid Time-constant Networks, Hasani, Ramin, Lechner Mathias, Amini Alexander, Rus Daniela, and Grosu Radu , (2020)

Lagrangian Reachtubes: The Next Generation, Gruenbacher, Sophie, Cyranka Jacek, Lechner Mathias, Islam Md. Ariful, Smolka Scott A., and Grosu Radu , (2020)

I

In-silico pre-clinical trials for implantable cardioverter defibrillators, Jiang, Zhihao, Abbas Houssam, Jang Kuk Jin, Beccani Marco, Liang Jackson, Dixit Sanjay, and Mangharam Rahul , Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the, (2016)

(4.99 MB)

H

High-level modeling for computer-aided clinical trials of medical devices, Abbas, Houssam, Jiang Zhihao, Jang Kuk Jin, Beccani Marco, Liangy Jackson, and Mangharam Rahul , High Level Design Validation and Test Workshop (HLDVT), 2016 IEEE International, (2016)

(4.01 MB)

G

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)

F

From Automated MRI Scan to Finite Elements, Glimm, James, Lim Hyunkyung, Bishop Martin, and Kim Soojin , p.35-48, (2019)

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E

Experience Report: Model-Based Test Automation of a Concurrent Flight Software Bus, Ganesan, D., Lindvall M., Hafsteinsson S., Cleaveland R., Strege S. L., and Moleski W. , 2016 IEEE 27th International Symposium on Software Reliability Engineering (ISSRE), Oct, (2016)

(976.61 KB)

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