List of Publications


For the most recent list of publications, please visit: Google Scholar, DBLP, ResearchID, , ORCID , and ResearchGate.

  • Saeid Tizpaz-Niari, Pavol Cerný, Sriram Sankaranarayanan, Ashutosh Trivedi: Quantitative estimation of side-channel leaks with neural networks. Int. J. Softw. Tools Technol. Transf. 23(4): 641-654 (2021)
  • Ernst Moritz Hahn, Mateo Perez, Sven Schewe, Fabio Somenzi, Ashutosh Trivedi, Dominik Wojtczak: Model-Free Reinforcement Learning for Branching Markov Decision Processes. CAV (2) 2021: 651-673
  • Mahathi Anand, Vishnu Murali, Ashutosh Trivedi, Majid Zamani: Safety Verification of Dynamical Systems via k-Inductive Barrier Certificates. CDC 2021: 1314-1320
  • Mahathi Anand, Vishnu Murali, Ashutosh Trivedi, Majid Zamani: Formal verification of hyperproperties for control systems. CAADCPS@CPSIoTWeek 2021: 29-30
  • Vrunda Dave, Taylor Dohmen, Shankara Narayanan Krishna, Ashutosh Trivedi: Regular Model Checking with Regular Relations. FCT 2021: 190-203
  • Ernst Moritz Hahn, Mateo Perez, Sven Schewe, Fabio Somenzi, Ashutosh Trivedi, Dominik Wojtczak: Model-Free Reinforcement Learning for Lexicographic Omega-Regular Objectives. FM 2021: 142-159
  • Tianhan Lu, Bor-Yuh Evan Chang, Ashutosh Trivedi: Selectively-Amortized Resource Bounding. SAS 2021: 286-307

  • Ernst Moritz Hahn, Mateo Perez, Sven Schewe, Fabio Somenzi, Ashutosh Trivedi, Dominik Wojtczak: Good-for-MDPs Automata for Probabilistic Analysis and Reinforcement Learning. TACAS (1) 2020: 306-323
  • Ernst Moritz Hahn, Mateo Perez, Sven Schewe, Fabio Somenzi, Ashutosh Trivedi, Dominik Wojtczak: Faithful and Effective Reward Schemes for Model-Free Reinforcement Learning of Omega-Regular Objectives. ATVA 2020: 108-124
  • Emmanuel Filiot, Nicolas Mazzocchi, Jean-François Raskin, Sriram Sankaranarayanan, Ashutosh Trivedi: Weighted Transducers for Robustness Verification. CONCUR 2020: 17:1-17:21
  • Ernst Moritz Hahn, Mateo Perez, Sven Schewe, Fabio Somenzi, Ashutosh Trivedi, Dominik Wojtczak: Model-Free Reinforcement Learning for Stochastic Parity Games. CONCUR 2020: 21:1-21:16
  • Abolfazl Lavaei, Fabio Somenzi, Sadegh Soudjani, Ashutosh Trivedi, Majid Zamani: Formal Controller Synthesis for Continuous-Space MDPs via Model-Free Reinforcement Learning. ICCPS 2020: 98-107
  • Saeid Tizpaz-Niari, Pavol Cerný, Ashutosh Trivedi: Detecting and understanding real-world differential performance bugs in machine learning libraries. ISSTA 2020: 189-199
  • Saeid Tizpaz-Niari, Pavol Cerný, Ashutosh Trivedi: Data-Driven Debugging for Functional Side Channels. NDSS 2020

  • Playing Stochastic Games Precisely.
    Taolue Chen, Vojtech Forejt, Marta Kwiatkowska, Aistis Simaitis, Ashutosh Trivedi, and Michael Ummels.
    Proceedings of 23rd International Conference on Concurrency Theory, CONCUR 2012.

  • Regular Transformations of Infinite Strings.
    Rajeev Alur, Emmanuel Filiot, and Ashutosh Trivedi.
    Proceedings of the 27th Annual IEEE/ACM Symposium on Logic in Computer Science, LICS 2012.

  • Optimal Scheduling for Constant-Rate Multi-Mode System.
    Rajeev Alur, Ashutosh Trivedi, and Dominik Wojtczak.
    Proceedings of the 15th ACM international conference on Hybrid Systems: Computation and Control, HSCC 2012.
    Best paper award, HSCC, CPS Week 2012.

  • Average-Time Games [Full version].
    Marcin Jurdzinski and Ashutosh Trivedi.
    Proceedings of IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2008).

  • Concavely-Priced Timed Automata
    Marcin Jurdzinski and Ashutosh Trivedi.
    Proceedings of 6th International Conference on Formal Modeling and Analysis of Timed Systems, FORMATS 2008.