Sumit Kumar Jha
Sumit Kumar Jha
University of Texas at San Antonio
Verified email at - Homepage
Cited by
Cited by
A bayesian approach to model checking biological systems
SK Jha, EM Clarke, CJ Langmead, A Legay, A Platzer, P Zuliani
Computational Methods in Systems Biology: 7th International Conference, CMSB …, 2009
Randomization based probabilistic approach to detect trojan circuits
S Jha, SK Jha
2008 11th IEEE High Assurance Systems Engineering Symposium, 117-124, 2008
Statistical Model Checking in BioLab: Applications to the Automated Analysis of T-Cell Receptor Signaling Pathway
EM Clarke, JR Faeder, CJ Langmead, LA Harris, SK Jha, A Legay
Computational Methods in Systems Biology: 6th International Conference CMSB …, 2008
A counterexample-guided approach to parameter synthesis for linear hybrid automata
G Frehse, SK Jha, BH Krogh
Hybrid Systems: Computation and Control: 11th International Workshop, HSCC …, 2008
Reachability for linear hybrid automata using iterative relaxation abstraction
SK Jha, BH Krogh, JE Weimer, EM Clarke
Hybrid Systems: Computation and Control: 10th International Workshop, HSCC …, 2007
Symbolic approaches for finding control strategies in Boolean networks
CJ Langmead, SK Jha
Journal of Bioinformatics and Computational Biology 7 (02), 323-338, 2009
Predicting heart rate variations of deepfake videos using neural ode
S Fernandes, S Raj, E Ortiz, I Vintila, M Salter, G Urosevic, S Jha
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Attribution-based confidence metric for deep neural networks
S Jha, S Raj, S Fernandes, SK Jha, S Jha, B Jalaian, G Verma, A Swami
Advances in Neural Information Processing Systems 32, 2019
Synthesis and infeasibility analysis for stochastic models of biochemical systems using statistical model checking and abstraction refinement
SK Jha, CJ Langmead
Theoretical Computer Science 412 (21), 2162-2187, 2011
Refining abstractions of hybrid systems using counterexample fragments
A Fehnker, E Clarke, SK Jha, B Krogh
Hybrid Systems: Computation and Control: 8th International Workshop, HSCC …, 2005
Flow-based computing on nanoscale crossbars: Design and implementation of full adders
Z Alamgir, K Beckmann, N Cady, A Velasquez, SK Jha
2016 IEEE International Symposium on Circuits and Systems (ISCAS), 1870-1873, 2016
Computation of boolean formulas using sneak paths in crossbar computing
SK Jha, DE Rodriguez, JE Van Nostrand, A Velasquez
US Patent 9,319,047, 2016
Automated synthesis of compact crossbars for sneak-path based in-memory computing
D Chakraborty, SK Jha
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 …, 2017
Exploring behaviors of stochastic differential equation models of biological systems using change of measures
SK Jha, CJ Langmead
BMC bioinformatics 13 (5), 1-10, 2012
Integrating symbolic and statistical methods for testing intelligent systems: Applications to machine learning and computer vision
A Ramanathan, LL Pullum, F Hussain, D Chakrabarty, SK Jha
2016 Design, Automation & Test in Europe Conference & Exhibition (DATE), 786-791, 2016
Detecting deepfake videos using attribution-based confidence metric
S Fernandes, S Raj, R Ewetz, JS Pannu, SK Jha, E Ortiz, I Vintila, M Salter
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Automated synthesis of crossbars for nanoscale computing using formal methods
A Velasquez, SK Jha
Proceedings of the 2015 IEEE/ACM International Symposium on Nanoscale …, 2015
Predicting protein folding kinetics via temporal logic model checking
CJ Langmead, SK Jha
Algorithms in Bioinformatics: 7th International Workshop, WABI 2007 …, 2007
Temporal logic model checking
E Clarke, A Fehnker, SK Jha, H Veith
Handbook of Networked and Embedded Control Systems, 539-558, 2005
Parallel computing using memristive crossbar networks: Nullifying the processor-memory bottleneck
A Velasquez, SK Jha
2014 9th International Design and Test Symposium (IDT), 147-152, 2014
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