Mathias Lechner

Graduate School
Henzinger_Thomas Group

31 Publications

Mark all

[31]
2023 | Conference Paper | IST-REx-ID: 13142 | OA
Chatterjee K, Henzinger TA, Lechner M, Zikelic D. A learner-verifier framework for neural network controllers and certificates of stochastic systems. In: Tools and Algorithms for the Construction and Analysis of Systems . Vol 13993. Springer Nature; 2023:3-25. doi:10.1007/978-3-031-30823-9_1
[Published Version] View | Files available | DOI
 
[30]
2023 | Journal Article | IST-REx-ID: 12704 | OA
Lechner M, Amini A, Rus D, Henzinger TA. Revisiting the adversarial robustness-accuracy tradeoff in robot learning. IEEE Robotics and Automation Letters. 2023;8(3):1595-1602. doi:10.1109/LRA.2023.3240930
[Published Version] View | Files available | DOI | WoS | arXiv
 
[29]
2023 | Conference Paper | IST-REx-ID: 14242 | OA
Lechner M, Zikelic D, Chatterjee K, Henzinger TA, Rus D. Quantization-aware interval bound propagation for training certifiably robust quantized neural networks. In: Proceedings of the 37th AAAI Conference on Artificial Intelligence. Vol 37. Association for the Advancement of Artificial Intelligence; 2023:14964-14973. doi:10.1609/aaai.v37i12.26747
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[28]
2023 | Conference Paper | IST-REx-ID: 14559
Ansaripour M, Chatterjee K, Henzinger TA, Lechner M, Zikelic D. Learning provably stabilizing neural controllers for discrete-time stochastic systems. In: 21st International Symposium on Automated Technology for Verification and Analysis. Vol 14215. Springer Nature; 2023:357-379. doi:10.1007/978-3-031-45329-8_17
View | DOI
 
[27]
2023 | Conference Paper | IST-REx-ID: 14830
Zikelic D, Lechner M, Henzinger TA, Chatterjee K. Learning control policies for stochastic systems with reach-avoid guarantees. In: Proceedings of the 37th AAAI Conference on Artificial Intelligence. Vol 37. Association for the Advancement of Artificial Intelligence; 2023:11926-11935. doi:10.1609/aaai.v37i10.26407
[Preprint] View | Files available | DOI | arXiv
 
[26]
2023 | Conference Paper | IST-REx-ID: 15023 | OA
Zikelic D, Lechner M, Verma A, Chatterjee K, Henzinger TA. Compositional policy learning in stochastic control systems with formal guarantees. In: 37th Conference on Neural Information Processing Systems. ; 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[25]
2022 | Conference Paper | IST-REx-ID: 12010 | OA
Brunnbauer A, Berducci L, Brandstatter A, et al. Latent imagination facilitates zero-shot transfer in autonomous racing. In: 2022 International Conference on Robotics and Automation. IEEE; 2022:7513-7520. doi:10.1109/ICRA46639.2022.9811650
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[24]
2022 | Preprint | IST-REx-ID: 11366 | OA
Lechner M, Amini A, Rus D, Henzinger TA. Revisiting the adversarial robustness-accuracy tradeoff in robot learning. arXiv. doi:10.48550/arXiv.2204.07373
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[23]
2022 | Journal Article | IST-REx-ID: 12147 | OA
Hasani R, Lechner M, Amini A, et al. Closed-form continuous-time neural networks. Nature Machine Intelligence. 2022;4(11):992-1003. doi:10.1038/s42256-022-00556-7
[Published Version] View | Files available | DOI | WoS | arXiv
 
[22]
2022 | Thesis | IST-REx-ID: 11362 | OA
Lechner M. Learning verifiable representations. 2022. doi:10.15479/at:ista:11362
[Published Version] View | Files available | DOI
 
[21]
2022 | Journal Article | IST-REx-ID: 12510 | OA
Gruenbacher SA, Lechner M, Hasani R, et al. GoTube: Scalable statistical verification of continuous-depth models. Proceedings of the AAAI Conference on Artificial Intelligence. 2022;36(6):6755-6764. doi:10.1609/aaai.v36i6.20631
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[20]
2022 | Journal Article | IST-REx-ID: 12511 | OA
Lechner M, Zikelic D, Chatterjee K, Henzinger TA. Stability verification in stochastic control systems via neural network supermartingales. Proceedings of the AAAI Conference on Artificial Intelligence. 2022;36(7):7326-7336. doi:10.1609/aaai.v36i7.20695
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[19]
2022 | Preprint | IST-REx-ID: 14601 | OA
Zikelic D, Lechner M, Chatterjee K, Henzinger TA. Learning stabilizing policies in stochastic control systems. arXiv. doi:10.48550/arXiv.2205.11991
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[18]
2022 | Preprint | IST-REx-ID: 14600 | OA
Zikelic D, Lechner M, Henzinger TA, Chatterjee K. Learning control policies for stochastic systems with reach-avoid guarantees. arXiv. doi:10.48550/ARXIV.2210.05308
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[17]
2021 | Conference Paper | IST-REx-ID: 10669 | OA
Grunbacher S, Hasani R, Lechner M, Cyranka J, Smolka SA, Grosu R. On the verification of neural ODEs with stochastic guarantees. In: Proceedings of the AAAI Conference on Artificial Intelligence. Vol 35. AAAI Press; 2021:11525-11535.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[16]
2021 | Conference Paper | IST-REx-ID: 10671 | OA
Hasani R, Lechner M, Amini A, Rus D, Grosu R. Liquid time-constant networks. In: Proceedings of the AAAI Conference on Artificial Intelligence. Vol 35. AAAI Press; 2021:7657-7666.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[15]
2021 | Conference Paper | IST-REx-ID: 10668 | OA
Babaiee Z, Hasani R, Lechner M, Rus D, Grosu R. On-off center-surround receptive fields for accurate and robust image classification. In: Proceedings of the 38th International Conference on Machine Learning. Vol 139. ML Research Press; 2021:478-489.
[Published Version] View | Files available | Download Published Version (ext.)
 
[14]
2021 | Conference Paper | IST-REx-ID: 10670 | OA
Vorbach CJ, Hasani R, Amini A, Lechner M, Rus D. Causal navigation by continuous-time neural networks. In: 35th Conference on Neural Information Processing Systems. ; 2021.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[13]
2021 | Conference Paper | IST-REx-ID: 10665 | OA
Henzinger TA, Lechner M, Zikelic D. Scalable verification of quantized neural networks. In: Proceedings of the AAAI Conference on Artificial Intelligence. Vol 35. AAAI Press; 2021:3787-3795.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[12]
2021 | Conference Paper | IST-REx-ID: 10667 | OA
Lechner M, Žikelić Ð, Chatterjee K, Henzinger TA. Infinite time horizon safety of Bayesian neural networks. In: 35th Conference on Neural Information Processing Systems. ; 2021. doi:10.48550/arXiv.2111.03165
[Published Version] View | Files available | DOI | Download Published Version (ext.) | arXiv
 
[11]
2021 | Journal Article | IST-REx-ID: 10404 | OA
Sietzen S, Lechner M, Borowski J, Hasani R, Waldner M. Interactive analysis of CNN robustness. Computer Graphics Forum. 2021;40(7):253-264. doi:10.1111/cgf.14418
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[10]
2021 | Conference Paper | IST-REx-ID: 10666 | OA
Lechner M, Hasani R, Grosu R, Rus D, Henzinger TA. Adversarial training is not ready for robot learning. In: 2021 IEEE International Conference on Robotics and Automation. ICRA. ; 2021:4140-4147. doi:10.1109/ICRA48506.2021.9561036
View | Files available | DOI | Download None (ext.) | WoS | arXiv
 
[9]
2020 | Conference Paper | IST-REx-ID: 10673 | OA
Hasani R, Lechner M, Amini A, Rus D, Grosu R. A natural lottery ticket winner: Reinforcement learning with ordinary neural circuits. In: Proceedings of the 37th International Conference on Machine Learning. PMLR. ; 2020:4082-4093.
[Published Version] View | Files available | Download Published Version (ext.)
 
[8]
2020 | Conference Paper | IST-REx-ID: 9103 | OA
Gruenbacher S, Cyranka J, Lechner M, Islam MA, Smolka SA, Grosu R. Lagrangian reachtubes: The next generation. In: Proceedings of the 59th IEEE Conference on Decision and Control. Vol 2020. IEEE; 2020:1556-1563. doi:10.1109/CDC42340.2020.9304042
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[7]
2020 | Conference Paper | IST-REx-ID: 10672 | OA
Lechner M. Learning representations for binary-classification without backpropagation. In: 8th International Conference on Learning Representations. ICLR; 2020.
[Published Version] View | Files available | Download Published Version (ext.)
 
[6]
2020 | Conference Paper | IST-REx-ID: 7808 | OA
Giacobbe M, Henzinger TA, Lechner M. 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. Vol 12079. Springer Nature; 2020:79-97. doi:10.1007/978-3-030-45237-7_5
[Published Version] View | Files available | DOI
 
[5]
2020 | Conference Paper | IST-REx-ID: 8194 | OA
Baranowski M, He S, Lechner M, Nguyen TS, Rakamarić Z. An SMT theory of fixed-point arithmetic. In: Automated Reasoning. Vol 12166. Springer Nature; 2020:13-31. doi:10.1007/978-3-030-51074-9_2
[Published Version] View | DOI | Download Published Version (ext.) | WoS
 
[4]
2020 | Journal Article | IST-REx-ID: 8679
Lechner M, Hasani R, Amini A, Henzinger TA, Rus D, Grosu R. Neural circuit policies enabling auditable autonomy. Nature Machine Intelligence. 2020;2:642-652. doi:10.1038/s42256-020-00237-3
View | Files available | DOI | WoS
 
[3]
2020 | Conference Paper | IST-REx-ID: 8704 | OA
Lechner M, Hasani R, Rus D, Grosu R. 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. IEEE; 2020:5446-5452. doi:10.1109/ICRA40945.2020.9196608
[Submitted Version] View | Files available | DOI | WoS
 
[2]
2019 | Conference Paper | IST-REx-ID: 6888 | OA
Lechner M, Hasani R, Zimmer M, Henzinger TA, Grosu R. Designing worm-inspired neural networks for interpretable robotic control. In: Proceedings - IEEE International Conference on Robotics and Automation. Vol 2019-May. IEEE; 2019. doi:10.1109/icra.2019.8793840
[Submitted Version] View | Files available | DOI
 
[1]
2019 | Conference Paper | IST-REx-ID: 6985 | OA
Hasani R, Amini A, Lechner M, Naser F, Grosu R, Rus D. Response characterization for auditing cell dynamics in long short-term memory networks. In: Proceedings of the International Joint Conference on Neural Networks. IEEE; 2019. doi:10.1109/ijcnn.2019.8851954
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
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31 Publications

Mark all

[31]
2023 | Conference Paper | IST-REx-ID: 13142 | OA
Chatterjee K, Henzinger TA, Lechner M, Zikelic D. A learner-verifier framework for neural network controllers and certificates of stochastic systems. In: Tools and Algorithms for the Construction and Analysis of Systems . Vol 13993. Springer Nature; 2023:3-25. doi:10.1007/978-3-031-30823-9_1
[Published Version] View | Files available | DOI
 
[30]
2023 | Journal Article | IST-REx-ID: 12704 | OA
Lechner M, Amini A, Rus D, Henzinger TA. Revisiting the adversarial robustness-accuracy tradeoff in robot learning. IEEE Robotics and Automation Letters. 2023;8(3):1595-1602. doi:10.1109/LRA.2023.3240930
[Published Version] View | Files available | DOI | WoS | arXiv
 
[29]
2023 | Conference Paper | IST-REx-ID: 14242 | OA
Lechner M, Zikelic D, Chatterjee K, Henzinger TA, Rus D. Quantization-aware interval bound propagation for training certifiably robust quantized neural networks. In: Proceedings of the 37th AAAI Conference on Artificial Intelligence. Vol 37. Association for the Advancement of Artificial Intelligence; 2023:14964-14973. doi:10.1609/aaai.v37i12.26747
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[28]
2023 | Conference Paper | IST-REx-ID: 14559
Ansaripour M, Chatterjee K, Henzinger TA, Lechner M, Zikelic D. Learning provably stabilizing neural controllers for discrete-time stochastic systems. In: 21st International Symposium on Automated Technology for Verification and Analysis. Vol 14215. Springer Nature; 2023:357-379. doi:10.1007/978-3-031-45329-8_17
View | DOI
 
[27]
2023 | Conference Paper | IST-REx-ID: 14830
Zikelic D, Lechner M, Henzinger TA, Chatterjee K. Learning control policies for stochastic systems with reach-avoid guarantees. In: Proceedings of the 37th AAAI Conference on Artificial Intelligence. Vol 37. Association for the Advancement of Artificial Intelligence; 2023:11926-11935. doi:10.1609/aaai.v37i10.26407
[Preprint] View | Files available | DOI | arXiv
 
[26]
2023 | Conference Paper | IST-REx-ID: 15023 | OA
Zikelic D, Lechner M, Verma A, Chatterjee K, Henzinger TA. Compositional policy learning in stochastic control systems with formal guarantees. In: 37th Conference on Neural Information Processing Systems. ; 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[25]
2022 | Conference Paper | IST-REx-ID: 12010 | OA
Brunnbauer A, Berducci L, Brandstatter A, et al. Latent imagination facilitates zero-shot transfer in autonomous racing. In: 2022 International Conference on Robotics and Automation. IEEE; 2022:7513-7520. doi:10.1109/ICRA46639.2022.9811650
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[24]
2022 | Preprint | IST-REx-ID: 11366 | OA
Lechner M, Amini A, Rus D, Henzinger TA. Revisiting the adversarial robustness-accuracy tradeoff in robot learning. arXiv. doi:10.48550/arXiv.2204.07373
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[23]
2022 | Journal Article | IST-REx-ID: 12147 | OA
Hasani R, Lechner M, Amini A, et al. Closed-form continuous-time neural networks. Nature Machine Intelligence. 2022;4(11):992-1003. doi:10.1038/s42256-022-00556-7
[Published Version] View | Files available | DOI | WoS | arXiv
 
[22]
2022 | Thesis | IST-REx-ID: 11362 | OA
Lechner M. Learning verifiable representations. 2022. doi:10.15479/at:ista:11362
[Published Version] View | Files available | DOI
 
[21]
2022 | Journal Article | IST-REx-ID: 12510 | OA
Gruenbacher SA, Lechner M, Hasani R, et al. GoTube: Scalable statistical verification of continuous-depth models. Proceedings of the AAAI Conference on Artificial Intelligence. 2022;36(6):6755-6764. doi:10.1609/aaai.v36i6.20631
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[20]
2022 | Journal Article | IST-REx-ID: 12511 | OA
Lechner M, Zikelic D, Chatterjee K, Henzinger TA. Stability verification in stochastic control systems via neural network supermartingales. Proceedings of the AAAI Conference on Artificial Intelligence. 2022;36(7):7326-7336. doi:10.1609/aaai.v36i7.20695
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[19]
2022 | Preprint | IST-REx-ID: 14601 | OA
Zikelic D, Lechner M, Chatterjee K, Henzinger TA. Learning stabilizing policies in stochastic control systems. arXiv. doi:10.48550/arXiv.2205.11991
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[18]
2022 | Preprint | IST-REx-ID: 14600 | OA
Zikelic D, Lechner M, Henzinger TA, Chatterjee K. Learning control policies for stochastic systems with reach-avoid guarantees. arXiv. doi:10.48550/ARXIV.2210.05308
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[17]
2021 | Conference Paper | IST-REx-ID: 10669 | OA
Grunbacher S, Hasani R, Lechner M, Cyranka J, Smolka SA, Grosu R. On the verification of neural ODEs with stochastic guarantees. In: Proceedings of the AAAI Conference on Artificial Intelligence. Vol 35. AAAI Press; 2021:11525-11535.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[16]
2021 | Conference Paper | IST-REx-ID: 10671 | OA
Hasani R, Lechner M, Amini A, Rus D, Grosu R. Liquid time-constant networks. In: Proceedings of the AAAI Conference on Artificial Intelligence. Vol 35. AAAI Press; 2021:7657-7666.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[15]
2021 | Conference Paper | IST-REx-ID: 10668 | OA
Babaiee Z, Hasani R, Lechner M, Rus D, Grosu R. On-off center-surround receptive fields for accurate and robust image classification. In: Proceedings of the 38th International Conference on Machine Learning. Vol 139. ML Research Press; 2021:478-489.
[Published Version] View | Files available | Download Published Version (ext.)
 
[14]
2021 | Conference Paper | IST-REx-ID: 10670 | OA
Vorbach CJ, Hasani R, Amini A, Lechner M, Rus D. Causal navigation by continuous-time neural networks. In: 35th Conference on Neural Information Processing Systems. ; 2021.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[13]
2021 | Conference Paper | IST-REx-ID: 10665 | OA
Henzinger TA, Lechner M, Zikelic D. Scalable verification of quantized neural networks. In: Proceedings of the AAAI Conference on Artificial Intelligence. Vol 35. AAAI Press; 2021:3787-3795.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[12]
2021 | Conference Paper | IST-REx-ID: 10667 | OA
Lechner M, Žikelić Ð, Chatterjee K, Henzinger TA. Infinite time horizon safety of Bayesian neural networks. In: 35th Conference on Neural Information Processing Systems. ; 2021. doi:10.48550/arXiv.2111.03165
[Published Version] View | Files available | DOI | Download Published Version (ext.) | arXiv
 
[11]
2021 | Journal Article | IST-REx-ID: 10404 | OA
Sietzen S, Lechner M, Borowski J, Hasani R, Waldner M. Interactive analysis of CNN robustness. Computer Graphics Forum. 2021;40(7):253-264. doi:10.1111/cgf.14418
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[10]
2021 | Conference Paper | IST-REx-ID: 10666 | OA
Lechner M, Hasani R, Grosu R, Rus D, Henzinger TA. Adversarial training is not ready for robot learning. In: 2021 IEEE International Conference on Robotics and Automation. ICRA. ; 2021:4140-4147. doi:10.1109/ICRA48506.2021.9561036
View | Files available | DOI | Download None (ext.) | WoS | arXiv
 
[9]
2020 | Conference Paper | IST-REx-ID: 10673 | OA
Hasani R, Lechner M, Amini A, Rus D, Grosu R. A natural lottery ticket winner: Reinforcement learning with ordinary neural circuits. In: Proceedings of the 37th International Conference on Machine Learning. PMLR. ; 2020:4082-4093.
[Published Version] View | Files available | Download Published Version (ext.)
 
[8]
2020 | Conference Paper | IST-REx-ID: 9103 | OA
Gruenbacher S, Cyranka J, Lechner M, Islam MA, Smolka SA, Grosu R. Lagrangian reachtubes: The next generation. In: Proceedings of the 59th IEEE Conference on Decision and Control. Vol 2020. IEEE; 2020:1556-1563. doi:10.1109/CDC42340.2020.9304042
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[7]
2020 | Conference Paper | IST-REx-ID: 10672 | OA
Lechner M. Learning representations for binary-classification without backpropagation. In: 8th International Conference on Learning Representations. ICLR; 2020.
[Published Version] View | Files available | Download Published Version (ext.)
 
[6]
2020 | Conference Paper | IST-REx-ID: 7808 | OA
Giacobbe M, Henzinger TA, Lechner M. 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. Vol 12079. Springer Nature; 2020:79-97. doi:10.1007/978-3-030-45237-7_5
[Published Version] View | Files available | DOI
 
[5]
2020 | Conference Paper | IST-REx-ID: 8194 | OA
Baranowski M, He S, Lechner M, Nguyen TS, Rakamarić Z. An SMT theory of fixed-point arithmetic. In: Automated Reasoning. Vol 12166. Springer Nature; 2020:13-31. doi:10.1007/978-3-030-51074-9_2
[Published Version] View | DOI | Download Published Version (ext.) | WoS
 
[4]
2020 | Journal Article | IST-REx-ID: 8679
Lechner M, Hasani R, Amini A, Henzinger TA, Rus D, Grosu R. Neural circuit policies enabling auditable autonomy. Nature Machine Intelligence. 2020;2:642-652. doi:10.1038/s42256-020-00237-3
View | Files available | DOI | WoS
 
[3]
2020 | Conference Paper | IST-REx-ID: 8704 | OA
Lechner M, Hasani R, Rus D, Grosu R. 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. IEEE; 2020:5446-5452. doi:10.1109/ICRA40945.2020.9196608
[Submitted Version] View | Files available | DOI | WoS
 
[2]
2019 | Conference Paper | IST-REx-ID: 6888 | OA
Lechner M, Hasani R, Zimmer M, Henzinger TA, Grosu R. Designing worm-inspired neural networks for interpretable robotic control. In: Proceedings - IEEE International Conference on Robotics and Automation. Vol 2019-May. IEEE; 2019. doi:10.1109/icra.2019.8793840
[Submitted Version] View | Files available | DOI
 
[1]
2019 | Conference Paper | IST-REx-ID: 6985 | OA
Hasani R, Amini A, Lechner M, Naser F, Grosu R, Rus D. Response characterization for auditing cell dynamics in long short-term memory networks. In: Proceedings of the International Joint Conference on Neural Networks. IEEE; 2019. doi:10.1109/ijcnn.2019.8851954
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
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