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444 Publications
2021 |
Published |
Conference Paper |
IST-REx-ID: 10665 |
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.
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| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 10668 |
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.
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| arXiv
2021 |
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Conference Paper |
IST-REx-ID: 10669 |
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.
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| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 10671 |
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.
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| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 10688 |
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.
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2021 |
Published |
Journal Article |
IST-REx-ID: 8912 |
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.
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| WoS
2021 |
Published |
Conference Paper |
IST-REx-ID: 9200 |
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.
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| arXiv
2021 |
Published |
Journal Article |
IST-REx-ID: 9239 |
G. Avni, T. A. Henzinger, and Đ. Žikelić, “Bidding mechanisms in graph games,” Journal of Computer and System Sciences, vol. 119, no. 8. Elsevier, pp. 133–144, 2021.
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| arXiv
2021 |
Submitted |
Preprint |
IST-REx-ID: 9281 |
G. Dubach and F. Mühlböck, “Formal verification of Zagier’s one-sentence proof,” arXiv. .
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| arXiv
2021 |
Published |
Journal Article |
IST-REx-ID: 9647 |
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.
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2021 |
Published |
Technical Report |
IST-REx-ID: 9946 |
F. Mühlböck and T. A. Henzinger, Differential monitoring. IST Austria, 2021.
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2021 |
Published |
Journal Article |
IST-REx-ID: 10674 |
M. Aghajohari, G. Avni, and T. A. Henzinger, “Determinacy in discrete-bidding infinite-duration games,” Logical Methods in Computer Science, vol. 17, no. 1. EPI Sciences, p. 10:1-10:23, 2021.
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| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 10666 |
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.
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| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 10667 |
M. Lechner, Ð. Žikelić, K. Chatterjee, and T. A. Henzinger, “Infinite time horizon safety of Bayesian neural networks,” in 35th Conference on Neural Information Processing Systems, Virtual, 2021.
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| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 10670 |
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.
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| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 9356 |
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.
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| arXiv
2020 |
Published |
Journal Article |
IST-REx-ID: 10861
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.
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2020 |
Published |
Conference Paper |
IST-REx-ID: 10672 |
M. Lechner, “Learning representations for binary-classification without backpropagation,” in 8th International Conference on Learning Representations, Virtual ; Addis Ababa, Ethiopia, 2020.
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2020 |
Published |
Conference Paper |
IST-REx-ID: 10673 |
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.
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2020 |
Published |
Conference Paper |
IST-REx-ID: 7808 |
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.
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