M. Lechner, D. Zikelic, K. Chatterjee, T. A. Henzinger, and D. Rus, “Quantization-aware interval bound propagation for training certifiably robust quantized neural networks,” in Proceedings of the 37th AAAI Conference on Artificial Intelligence, Washington, DC, United States, 2023, vol. 37, no. 12, pp. 14964–14973.

G. Avni, I. R. Jecker, and D. Zikelic, “Bidding graph games with partially-observable budgets,” in Proceedings of the 37th AAAI Conference on Artificial Intelligence, Washington, DC, United States, 2023, vol. 37, no. 5, pp. 5464–5471.

T. A. Henzinger, M. Karimi, K. Kueffner, and K. Mallik, “Monitoring algorithmic fairness,” in Computer Aided Verification, Paris, France, 2023, vol. 13965, pp. 358–382.

U. Boker, T. A. Henzinger, N. A. Mazzocchi, and N. E. Sarac, “Safety and liveness of quantitative automata,” in 34th International Conference on Concurrency Theory, Antwerp, Belgium, 2023, vol. 279.

E. Bartocci, T. A. Henzinger, D. Nickovic, and A. Oliveira da Costa, “Hypernode automata,” in 34th International Conference on Concurrency Theory, Antwerp, Belgium, 2023, vol. 279.

T. A. Henzinger, K. Kueffner, and K. Mallik, “Monitoring algorithmic fairness under partial observations,” in 23rd International Conference on Runtime Verification, Thessaloniki, Greece, 2023, vol. 14245, pp. 291–311.

G. Avni, T. Meggendorfer, S. Sadhukhan, J. Tkadlec, and D. Zikelic, “Reachability poorman discrete-bidding games,” in Frontiers in Artificial Intelligence and Applications, Krakow, Poland, 2023, vol. 372, pp. 141–148.

M. Ansaripour, K. Chatterjee, T. A. Henzinger, M. Lechner, and D. Zikelic, “Learning provably stabilizing neural controllers for discrete-time stochastic systems,” in 21st International Symposium on Automated Technology for Verification and Analysis, Singapore, Singapore, 2023, vol. 14215, pp. 357–379.

V. G. Trinh, B. Benhamou, T. A. Henzinger, and S. Pastva, “Trap spaces of multi-valued networks: Definition, computation, and applications,” Bioinformatics, vol. 39, no. Supplement_1. Oxford Academic, pp. i513–i522, 2023.

R. Majumdar, K. Mallik, A. K. Schmuck, and S. Soudjani, “Symbolic control for stochastic systems via finite parity games,” Nonlinear Analysis: Hybrid Systems, vol. 51. Elsevier, 2023.

S. Pastva and T. A. Henzinger, “Binary decision diagrams on modern hardware,” in Proceedings of the 23rd Conference on Formal Methods in Computer-Aided Design, Ames, IA, United States, 2023, pp. 122–131.

D. Zikelic, M. Lechner, T. A. Henzinger, and K. Chatterjee, “Learning control policies for stochastic systems with reach-avoid guarantees,” in Proceedings of the 37th AAAI Conference on Artificial Intelligence, Washington, DC, United States, 2023, vol. 37, no. 10, pp. 11926–11935.

K. Kueffner, A. Lukina, C. Schilling, and T. A. Henzinger, “Into the unknown: Active monitoring of neural networks (extended version),” International Journal on Software Tools for Technology Transfer, vol. 25. Springer Nature, pp. 575–592, 2023.

T. Banerjee, R. Majumdar, K. Mallik, A.-K. Schmuck, and S. Soudjani, “Fast symbolic algorithms for mega-regular games under strong transition fairness,” TheoretiCS, vol. 2. EPI Sciences, 2023.

N. Benes, L. Brim, S. Pastva, D. Safránek, and E. Smijáková, “Phenotype control of partially specified boolean networks,” in 21st International Conference on Computational Methods in Systems Biology, Luxembourg City, Luxembourg, 2023, vol. 14137, pp. 18–35.

R. Majumdar, K. Mallik, M. Rychlicki, A.-K. Schmuck, and S. Soudjani, “A flexible toolchain for symbolic rabin games under fair and stochastic uncertainties,” in 35th International Conference on Computer Aided Verification, Paris, France, 2023, vol. 13966, pp. 3–15.

R. Majumdar, K. Mallik, M. Rychlicki, A.-K. Schmuck, and S. Soudjani, “A flexible toolchain for symbolic rabin games under fair and stochastic uncertainties.” Zenodo, 2023.

D. Zikelic, M. Lechner, A. Verma, K. Chatterjee, and T. A. Henzinger, “Compositional policy learning in stochastic control systems with formal guarantees,” in 37th Conference on Neural Information Processing Systems, New Orleans, LO, United States, 2023.

M. Chalupa and T. A. Henzinger, “Monitoring hyperproperties with prefix transducers,” in 23nd International Conference on Runtime Verification, Thessaloniki, Greek, 2023, vol. 14245, pp. 168–190.

M. Chalupa and T. A. Henzinger, “Monitoring hyperproperties with prefix transducers.” Zenodo, 2023.

T. A. Henzinger, M. Karimi, K. Kueffner, and K. Mallik, “Runtime monitoring of dynamic fairness properties,” in FAccT ’23: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, Chicago, IL, United States, 2023, pp. 604–614.

E. Bartocci, T. Ferrere, T. A. Henzinger, D. Nickovic, and A. O. Da Costa, “Flavors of sequential information flow,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Philadelphia, PA, United States, 2022, vol. 13182, pp. 1–19.

A. Brunnbauer et al., “Latent imagination facilitates zero-shot transfer in autonomous racing,” in 2022 International Conference on Robotics and Automation, Philadelphia, PA, United States, 2022, pp. 7513–7520.

M. Garcia Soto, T. A. Henzinger, and C. Schilling, “Synthesis of parametric hybrid automata from time series,” in 20th International Symposium on Automated Technology for Verification and Analysis, Virtual, 2022, vol. 13505, pp. 337–353.

T. A. Henzinger, K. Lehtinen, and P. Totzke, “History-deterministic timed automata,” in 33rd International Conference on Concurrency Theory, Warsaw, Poland, 2022, vol. 243, p. 14:1-14:21.

G. Avni and T. A. Henzinger, “An updated survey of bidding games on graphs,” in 47th International Symposium on Mathematical Foundations of Computer Science, Vienna, Austria, 2022, vol. 241, p. 3:1-3:6.

M. Lechner, A. Amini, D. Rus, and T. A. Henzinger, “Revisiting the adversarial robustness-accuracy tradeoff in robot learning,” arXiv. .

T. A. Henzinger, “Quantitative monitoring of software,” in Software Verification, New Haven, CT, United States, 2022, vol. 13124, pp. 3–6.

E. Bartocci, T. Ferrere, T. A. Henzinger, D. Nickovic, and A. O. Da Costa, “Information-flow interfaces,” in Fundamental Approaches to Software Engineering, Munich, Germany, 2022, vol. 13241, pp. 3–22.

T. A. Henzinger, N. A. Mazzocchi, and N. E. Sarac, “Abstract monitors for quantitative specifications,” in 22nd International Conference on Runtime Verification, Tbilisi, Georgia, 2022, vol. 13498, pp. 200–220.

R. Hasani et al., “Closed-form continuous-time neural networks,” Nature Machine Intelligence, vol. 4, no. 11. Springer Nature, pp. 992–1003, 2022.

M. Lechner, “Learning verifiable representations,” Institute of Science and Technology Austria, 2022.

K. Doveri, P. Ganty, and N. A. Mazzocchi, “FORQ-based language inclusion formal testing,” in Computer Aided Verification, Haifa, Israel, 2022, vol. 13372, pp. 109–129.

S. Bose, T. A. Henzinger, K. Lehtinen, S. Schewe, and P. Totzke, “History-deterministic timed automata are not determinizable,” in 16th International Conference on Reachability Problems, Kaiserslautern, Germany, 2022, vol. 13608, pp. 67–76.

S. A. Gruenbacher et al., “GoTube: Scalable statistical verification of continuous-depth models,” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, no. 6. Association for the Advancement of Artificial Intelligence, pp. 6755–6764, 2022.

M. Lechner, D. Zikelic, K. Chatterjee, and T. A. Henzinger, “Stability verification in stochastic control systems via neural network supermartingales,” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, no. 7. Association for the Advancement of Artificial Intelligence, pp. 7326–7336, 2022.

D. Zikelic, M. Lechner, K. Chatterjee, and T. A. Henzinger, “Learning stabilizing policies in stochastic control systems,” arXiv. .

D. Zikelic, M. Lechner, T. A. Henzinger, and K. Chatterjee, “Learning control policies for stochastic systems with reach-avoid guarantees,” arXiv. .

F. Mühlböck and R. Tate, “Transitioning from structural to nominal code with efficient gradual typing,” Proceedings of the ACM on Programming Languages, vol. 5. Association for Computing Machinery, 2021.

S. Grunbacher, R. Hasani, M. Lechner, J. Cyranka, S. A. Smolka, and R. Grosu, “On the verification of neural ODEs with stochastic guarantees,” in Proceedings of the AAAI Conference on Artificial Intelligence, Virtual, 2021, vol. 35, no. 13, pp. 11525–11535.

R. Hasani, M. Lechner, A. Amini, D. Rus, and R. Grosu, “Liquid time-constant networks,” in Proceedings of the AAAI Conference on Artificial Intelligence, Virtual, 2021, vol. 35, no. 9, pp. 7657–7666.

Z. Babaiee, R. Hasani, M. Lechner, D. Rus, and R. Grosu, “On-off center-surround receptive fields for accurate and robust image classification,” in Proceedings of the 38th International Conference on Machine Learning, Virtual, 2021, vol. 139, pp. 478–489.

C. J. Vorbach, R. Hasani, A. Amini, M. Lechner, and D. Rus, “Causal navigation by continuous-time neural networks,” in 35th Conference on Neural Information Processing Systems, Virtual, 2021.

B. Kragl and S. Qadeer, “The Civl verifier,” in Proceedings of the 21st Conference on Formal Methods in Computer-Aided Design, Virtual, 2021, vol. 2, pp. 143–152.

G. Dubach and F. Mühlböck, “Formal verification of Zagier’s one-sentence proof,” arXiv. .

T. A. Henzinger, M. Lechner, and D. Zikelic, “Scalable verification of quantized neural networks,” in Proceedings of the AAAI Conference on Artificial Intelligence, Virtual, 2021, vol. 35, no. 5A, pp. 3787–3795.

M. Lechner, Ð. dikeli, K. Chatterjee, and T. A. Henzinger, “Infinite time horizon safety of Bayesian neural networks,” in 35th Conference on Neural Information Processing Systems, Virtual, 2021.

N. E. Sarac, Ö. F. Altun, K. T. Atam, S. Karahoda, K. Kaya, and H. Yenigün, “Boosting expensive synchronizing heuristics,” Expert Systems with Applications, vol. 167, no. 4. Elsevier, 2021.

M. Garcia Soto, T. A. Henzinger, and C. Schilling, “Synthesis of hybrid automata with affine dynamics from time-series data,” in HSCC ’21: Proceedings of the 24th International Conference on Hybrid Systems: Computation and Control, Nashville, TN, United States, 2021, p. 2102.12734.

G. Avni, T. A. Henzinger, and . dikeli, “Bidding mechanisms in graph games,” Journal of Computer and System Sciences, vol. 119, no. 8. Elsevier, pp. 133–144, 2021.

T. A. Henzinger and N. E. Sarac, “Quantitative and approximate monitoring,” in Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science, Online, 2021.

T. Petrov, C. Igler, A. Sezgin, T. A. Henzinger, and C. C. Guet, “Long lived transients in gene regulation,” Theoretical Computer Science, vol. 893. Elsevier, pp. 1–16, 2021.

F. Mühlböck and T. A. Henzinger, “Differential monitoring,” in International Conference on Runtime Verification, Virtual, 2021, vol. 12974, pp. 231–243.

F. Mühlböck and T. A. Henzinger, Differential monitoring. IST Austria, 2021.

S. Sietzen, M. Lechner, J. Borowski, R. Hasani, and M. Waldner, “Interactive analysis of CNN robustness,” Computer Graphics Forum, vol. 40, no. 7. Wiley, pp. 253–264, 2021.

M. Aghajohari, G. Avni, and T. A. Henzinger, “Determinacy in discrete-bidding infinite-duration games,” Logical Methods in Computer Science, vol. 17, no. 1. International Federation for Computational Logic, p. 10:1-10:23, 2021.

M. Lechner, R. Hasani, R. Grosu, D. Rus, and T. A. Henzinger, “Adversarial training is not ready for robot learning,” in 2021 IEEE International Conference on Robotics and Automation, Xi’an, China, 2021, pp. 4140–4147.

A. Lukina, C. Schilling, and T. A. Henzinger, “Into the unknown: active monitoring of neural networks,” in 21st International Conference on Runtime Verification, Virtual, 2021, vol. 12974, pp. 42–61.

R. Hasani, M. Lechner, A. Amini, D. Rus, and R. Grosu, “A natural lottery ticket winner: Reinforcement learning with ordinary neural circuits,” in Proceedings of the 37th International Conference on Machine Learning, Virtual, 2020, pp. 4082–4093.

T. Ferrere, T. A. Henzinger, and B. Kragl, “Monitoring event frequencies,” in 28th EACSL Annual Conference on Computer Science Logic, Barcelona, Spain, 2020, vol. 152.

M. Althoff et al., “ARCH-COM Category Report: Continuous and hybrid systems with linear dynamics,” in EPiC Series in Computing, 2020, vol. 74, pp. 16–48.

L. Geretti et al., “ARCH-COM Category Report: Continuous and hybrid systems with nonlinear dynamics,” in EPiC Series in Computing, 2020, vol. 74, pp. 49–75.

K. Chatterjee, T. A. Henzinger, and J. Otop, “Multi-dimensional long-run average problems for vector addition systems with states,” in 31st International Conference on Concurrency Theory, Virtual, 2020, vol. 171.

G. Avni and T. A. Henzinger, “A survey of bidding games on graphs,” in 31st International Conference on Concurrency Theory, Virtual, 2020, vol. 171.

P. A. Alamdari, G. Avni, T. A. Henzinger, and A. Lukina, “Formal methods with a touch of magic,” in Proceedings of the 20th Conference on Formal Methods in Computer-Aided Design, Online Conference, 2020, pp. 138–147.

S. P. Singh and D.-A. Alistarh, “WoodFisher: Efficient second-order approximation for neural network compression,” in Advances in Neural Information Processing Systems, Vancouver, Canada, 2020, vol. 33, pp. 18098–18109.

S. Gruenbacher, J. Cyranka, M. Lechner, M. A. Islam, S. A. Smolka, and R. Grosu, “Lagrangian reachtubes: The next generation,” in Proceedings of the 59th IEEE Conference on Decision and Control, Jeju Islang, Korea (South), 2020, vol. 2020, pp. 1556–1563.

M. Lechner, “Learning representations for binary-classification without backpropagation,” in 8th International Conference on Learning Representations, Virtualf; Addis Ababa, Ethiopia, 2020.

M. Giacobbe, T. A. Henzinger, and M. Lechner, “How many bits does it take to quantize your neural network?,” in International Conference on Tools and Algorithms for the Construction and Analysis of Systems, Dublin, Ireland, 2020, vol. 12079, pp. 79–97.

G. Avni, T. A. Henzinger, and O. Kupferman, “Dynamic resource allocation games,” Theoretical Computer Science, vol. 807. Elsevier, pp. 42–55, 2020.

T. A. Henzinger, A. Lukina, and C. Schilling, “Outside the box: Abstraction-based monitoring of neural networks,” in 24th European Conference on Artificial Intelligence, Santiago de Compostela, Spain, 2020, vol. 325, pp. 2433–2440.

M. Baranowski, S. He, M. Lechner, T. S. Nguyen, and Z. Rakamari, “An SMT theory of fixed-point arithmetic,” in Automated Reasoning, Paris, France, 2020, vol. 12166, pp. 13–31.

M. Lechner, R. Hasani, A. Amini, T. A. Henzinger, D. Rus, and R. Grosu, “Neural circuit policies enabling auditable autonomy,” Nature Machine Intelligence, vol. 2. Springer Nature, pp. 642–652, 2020.

M. Lechner, R. Hasani, D. Rus, and R. Grosu, “Gershgorin loss stabilizes the recurrent neural network compartment of an end-to-end robot learning scheme,” in Proceedings - IEEE International Conference on Robotics and Automation, Paris, France, 2020, pp. 5446–5452.

M. Forets, D. Freire, and C. Schilling, “Efficient reachability analysis of parametric linear hybrid systems with  time-triggered transitions,” in 18th ACM-IEEE International Conference on Formal Methods and Models for System Design, Virtual Conference, 2020.

S. Bogomolov, M. Forets, G. Frehse, K. Potomkin, and C. Schilling, “Reachability analysis of linear hybrid systems via block decomposition,” in Proceedings of the International Conference on Embedded Software, Virtual , 2020.

S. Bogomolov, M. Forets, G. Frehse, K. Potomkin, and C. Schilling, “Reachability analysis of linear hybrid systems via block decomposition,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 39, no. 11. IEEE, pp. 4018–4029, 2020.

G. Avni, R. Ibsen-Jensen, and J. Tkadlec, “All-pay bidding games on graphs,” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 34, no. 02. Association for the Advancement of Artificial Intelligence, pp. 1798–1805, 2020.

T. A. Henzinger and N. E. Sarac, “Monitorability under assumptions,” in Runtime Verification, Los Angeles, CA, United States, 2020, vol. 12399, pp. 3–18.

B. Kragl, S. Qadeer, and T. A. Henzinger, “Refinement for structured concurrent programs,” in Computer Aided Verification, 2020, vol. 12224, pp. 275–298.

B. Kragl, C. Enea, T. A. Henzinger, S. O. Mutluergil, and S. Qadeer, “Inductive sequentialization of asynchronous programs,” in Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation, London, United Kingdom, 2020, pp. 227–242.

D. Nickovic, O. Lebeltel, O. Maler, T. Ferrere, and D. Ulus, “AMT 2.0: Qualitative and quantitative trace analysis with extended signal temporal logic,” International Journal on Software Tools for Technology Transfer, vol. 22, no. 6. Springer Nature, pp. 741–758, 2020.

B. Kragl, “Verifying concurrent programs: Refinement, synchronization, sequentialization,” Institute of Science and Technology Austria, 2020.

M. Garcia Soto and P. Prabhakar, “Hybridization for stability verification of nonlinear switched systems,” in 2020 IEEE Real-Time Systems Symposium, Houston, TX, USA , 2020, pp. 244–256.

M. Garcia Soto and P. Prabhakar, “Abstraction based verification of stability of polyhedral switched systems,” Nonlinear Analysis: Hybrid Systems, vol. 36, no. 5. Elsevier, 2020.

G. Frehse et al., “ARCH-COM Category Report: Hybrid systems with piecewise constant dynamics,” in ARC. 6th International Workshop on Applied Verification of Continuous and Hybrid Systems, Montreal, Canada, 2019, vol. 61, pp. 1–13.

A. Kundu, M. Garcia Soto, and P. Prabhakar, “Formal synthesis of stabilizing controllers for periodically controlled linear switched systems,” in 5th Indian Control Conference Proceedings, Delhi, India, 2019.

G. Avni, T. A. Henzinger, R. Ibsen-Jensen, and P. Novotny, “Bidding games on Markov decision processes,” in  Proceedings of the 13th International Conference of Reachability Problems, Brussels, Belgium, 2019, vol. 11674, pp. 1–12.

M. Lechner, R. Hasani, M. Zimmer, T. A. Henzinger, and R. Grosu, “Designing worm-inspired neural networks for interpretable robotic control,” in Proceedings - IEEE International Conference on Robotics and Automation, Montreal, QC, Canada, 2019, vol. 2019–May.

M. Aghajohari, G. Avni, and T. A. Henzinger, “Determinacy in discrete-bidding infinite-duration games,” presented at the CONCUR: International Conference on Concurrency Theory, Amsterdam, Netherlands, 2019, vol. 140.

K. Chatterjee, T. A. Henzinger, and J. Otop, “Long-run average behavior of vector addition systems with states,” presented at the CONCUR: International Conference on Concurrency Theory, Amsterdam, Netherlands, 2019, vol. 140.

R. Hasani, A. Amini, M. Lechner, F. Naser, R. Grosu, and D. Rus, “Response characterization for auditing cell dynamics in long short-term memory networks,” in Proceedings of the International Joint Conference on Neural Networks, Budapest, Hungary, 2019.

R. Alur, M. Giacobbe, T. A. Henzinger, K. G. Larsen, and M. Mikudionis, “Continuous-time models for system design and analysis,” in Computing and Software Science, vol. 10000, B. Steffen and G. Woeginger, Eds. Springer Nature, 2019, pp. 452–477.

F. Immler et al., “ARCH-COM Category Report: Continuous and hybrid systems with nonlinear dynamics,” in EPiC Series in Computing, Montreal, Canada, 2019, vol. 61, pp. 41–61.

M. Althoff et al., “ARCH-COM Category Report: Continuous and hybrid systems with linear continuous dynamics,” in EPiC Series in Computing, Montreal, Canada, 2019, vol. 61, pp. 14–40.

G. Avni, T. A. Henzinger, and D. Zikelic, “Bidding mechanisms in graph games,” presented at the MFCS: nternational Symposium on Mathematical Foundations of Computer Science, Aachen, Germany, 2019, vol. 138.

M. Christakis, M. Heizmann, M. N. Mansur, C. Schilling, and V. Wüstholz, “Semantic fault localization and suspiciousness ranking,” in 25th International Conference on Tools and Algorithms for the Construction and Analysis of Systems , Prague, Czech Republic, 2019, vol. 11427, pp. 226–243.

S. Bogomolov, M. Forets, G. Frehse, K. Potomkin, and C. Schilling, “JuliaReach: A toolbox for set-based reachability,” in Proceedings of the 22nd International Conference on Hybrid Systems: Computation and Control, Montreal, QC, Canada, 2019, vol. 22, pp. 39–44.

T. Ferrere, D. Nickovic, A. Donzé, H. Ito, and J. Kapinski, “Interface-aware signal temporal logic,” in Proceedings of the 2019 22nd ACM International Conference on Hybrid Systems: Computation and Control, Montreal, Canada, 2019, pp. 57–66.

G. Avni, R. Bloem, K. Chatterjee, T. A. Henzinger, B. Konighofer, and S. Pranger, “Run-time optimization for learned controllers through quantitative games,” in 31st International Conference on Computer-Aided Verification, New York, NY, United States, 2019, vol. 11561, pp. 630–649.