Publications

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Improving Invariant Mining via Static Analysis, Schulze, Christoph, and Cleaveland Rance , ACM Trans. Embed. Comput. Syst., Volume 16, p.167:1–167:20, (2017)  (566.5 KB)
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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)
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)
Model-Order Reduction of Ion Channel Dynamics Using Approximate Bisimulation, Islam, Md. A., Murthy A., Bartocci E., Cherry E. M., Fenton F. H., Glimm J., Smolka S. A., and Grosu R. , Theoretical Computer Science, 09/2015, Volume 599C, (2015)
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)
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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)
Neural Flocking: MPC-based Supervised Learning of Flocking Controllers, Roy, Shouvik, Mehmood Usama, Grosu Radu, Smolka Scott A., Stoller Scott D., and Tiwari Ashish , (2020)
Neural Flocking: MPC-based Supervised Learning of Flocking Controllers, Roy, Shouvik, Mehmood Usama, Grosu Radu, Smolka Scott A., Stoller Scott D., and Tiwari Ashish , (2020)
Neural Predictive Monitoring and a Comparison of Frequentist and Bayesian Approaches, Bortolussi, L., Cairoli F., Paoletti N., Smolka S. A., and Stoller S. D. , International Journal on Software Tools for Technology Transfer, 05/2021, (2021)
Neural Predictive Monitoring and a Comparison of Frequentist and Bayesian Approaches, Bortolussi, L., Cairoli F., Paoletti N., Smolka S. A., and Stoller S. D. , International Journal on Software Tools for Technology Transfer, 05/2021, (2021)
Neural Simplex Architecture, Phan, Dung T., Grosu Radu, Jansen Nils, Paoletti Nicola, Smolka Scott A., and Stoller Scott D. , (2020)
Neural Simplex Architecture, Phan, Dung T., Grosu Radu, Jansen Nils, Paoletti Nicola, Smolka Scott A., and Stoller Scott D. , (2020)
Neural State Classification for Hybrid Systems, Phan, Dung, Paoletti Nicola, Zhang Timothy, Grosu Radu, Smolka Scott A., and Stoller Scott D. , Proc.\ 16th International Symposium on Automated Technology for Verification and Analysis (ATVA 2018), (2018)  (528.72 KB)
Neural State Classification for Hybrid Systems, Phan, Dung, Paoletti Nicola, Zhang Timothy, Grosu Radu, Smolka Scott A., and Stoller Scott D. , Proc.\ 16th International Symposium on Automated Technology for Verification and Analysis (ATVA 2018), (2018)  (528.72 KB)
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)

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