A learner-verifier framework for neural network controllers and certificates of stochastic systems
K. Chatterjee, T.A. Henzinger, M. Lechner, D. Zikelic, in:, Tools and Algorithms for the Construction and Analysis of Systems , Springer Nature, 2023, pp. 3–25.
LibreCat: https://research-explorer.ista.ac.at/record/13142
DOI: 10.1007/978-3-031-30823-9_1

Revisiting the adversarial robustness-accuracy tradeoff in robot learning
M. Lechner, A. Amini, D. Rus, T.A. Henzinger, IEEE Robotics and Automation Letters 8 (2023) 1595–1602.
LibreCat: https://research-explorer.ista.ac.at/record/12704
DOI: 10.1109/LRA.2023.3240930
WoS: 000936534100012
arXiv: 2204.07373

Quantization-aware interval bound propagation for training certifiably robust quantized neural networks
M. Lechner, D. Zikelic, K. Chatterjee, T.A. Henzinger, D. Rus, in:, Proceedings of the 37th AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 2023, pp. 14964–14973.
LibreCat: https://research-explorer.ista.ac.at/record/14242
DOI: 10.1609/aaai.v37i12.26747
arXiv: 2211.16187

Learning provably stabilizing neural controllers for discrete-time stochastic systems
M. Ansaripour, K. Chatterjee, T.A. Henzinger, M. Lechner, D. Zikelic, in:, 21st International Symposium on Automated Technology for Verification and Analysis, Springer Nature, 2023, pp. 357–379.
LibreCat: https://research-explorer.ista.ac.at/record/14559
DOI: 10.1007/978-3-031-45329-8_17

Learning control policies for stochastic systems with reach-avoid guarantees
D. Zikelic, M. Lechner, T.A. Henzinger, K. Chatterjee, in:, Proceedings of the 37th AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 2023, pp. 11926–11935.
LibreCat: https://research-explorer.ista.ac.at/record/14830
DOI: 10.1609/aaai.v37i10.26407
arXiv: 2210.05308

Compositional policy learning in stochastic control systems with formal guarantees
D. Zikelic, M. Lechner, A. Verma, K. Chatterjee, T.A. Henzinger, in:, 37th Conference on Neural Information Processing Systems, 2023.
LibreCat: https://research-explorer.ista.ac.at/record/15023
arXiv: 2312.01456

Latent imagination facilitates zero-shot transfer in autonomous racing
A. Brunnbauer, L. Berducci, A. Brandstatter, M. Lechner, R. Hasani, D. Rus, R. Grosu, in:, 2022 International Conference on Robotics and Automation, IEEE, 2022, pp. 7513–7520.
LibreCat: https://research-explorer.ista.ac.at/record/12010
DOI: 10.1109/ICRA46639.2022.9811650
arXiv: 2103.04909

Revisiting the adversarial robustness-accuracy tradeoff in robot learning
M. Lechner, A. Amini, D. Rus, T.A. Henzinger, ArXiv (n.d.).
LibreCat: https://research-explorer.ista.ac.at/record/11366
DOI: 10.48550/arXiv.2204.07373
arXiv: 2204.07373

Closed-form continuous-time neural networks
R. Hasani, M. Lechner, A. Amini, L. Liebenwein, A. Ray, M. Tschaikowski, G. Teschl, D. Rus, Nature Machine Intelligence 4 (2022) 992–1003.
LibreCat: https://research-explorer.ista.ac.at/record/12147
DOI: 10.1038/s42256-022-00556-7
WoS: 000884215600003
arXiv: 2106.13898

Learning verifiable representations
M. Lechner, Learning Verifiable Representations, Institute of Science and Technology Austria, 2022.
LibreCat: https://research-explorer.ista.ac.at/record/11362
DOI: 10.15479/at:ista:11362

GoTube: Scalable statistical verification of continuous-depth models
S.A. Gruenbacher, M. Lechner, R. Hasani, D. Rus, T.A. Henzinger, S.A. Smolka, R. Grosu, Proceedings of the AAAI Conference on Artificial Intelligence 36 (2022) 6755–6764.
LibreCat: https://research-explorer.ista.ac.at/record/12510
DOI: 10.1609/aaai.v36i6.20631
arXiv: 2107.08467

Stability verification in stochastic control systems via neural network supermartingales
M. Lechner, D. Zikelic, K. Chatterjee, T.A. Henzinger, Proceedings of the AAAI Conference on Artificial Intelligence 36 (2022) 7326–7336.
LibreCat: https://research-explorer.ista.ac.at/record/12511
DOI: 10.1609/aaai.v36i7.20695
arXiv: 2112.09495

Learning stabilizing policies in stochastic control systems
D. Zikelic, M. Lechner, K. Chatterjee, T.A. Henzinger, ArXiv (n.d.).
LibreCat: https://research-explorer.ista.ac.at/record/14601
DOI: 10.48550/arXiv.2205.11991
arXiv: 2205.11991

Learning control policies for stochastic systems with reach-avoid guarantees
D. Zikelic, M. Lechner, T.A. Henzinger, K. Chatterjee, ArXiv (n.d.).
LibreCat: https://research-explorer.ista.ac.at/record/14600
DOI: 10.48550/ARXIV.2210.05308
arXiv: 2210.05308

On the verification of neural ODEs with stochastic guarantees
S. Grunbacher, R. Hasani, M. Lechner, J. Cyranka, S.A. Smolka, R. Grosu, in:, Proceedings of the AAAI Conference on Artificial Intelligence, AAAI Press, 2021, pp. 11525–11535.
LibreCat: https://research-explorer.ista.ac.at/record/10669
arXiv: 2012.08863

Liquid time-constant networks
R. Hasani, M. Lechner, A. Amini, D. Rus, R. Grosu, in:, Proceedings of the AAAI Conference on Artificial Intelligence, AAAI Press, 2021, pp. 7657–7666.
LibreCat: https://research-explorer.ista.ac.at/record/10671
arXiv: 2006.04439

On-off center-surround receptive fields for accurate and robust image classification
Z. Babaiee, R. Hasani, M. Lechner, D. Rus, R. Grosu, in:, Proceedings of the 38th International Conference on Machine Learning, ML Research Press, 2021, pp. 478–489.
LibreCat: https://research-explorer.ista.ac.at/record/10668

Causal navigation by continuous-time neural networks
C.J. Vorbach, R. Hasani, A. Amini, M. Lechner, D. Rus, in:, 35th Conference on Neural Information Processing Systems, 2021.
LibreCat: https://research-explorer.ista.ac.at/record/10670
arXiv: 2106.08314

Scalable verification of quantized neural networks
T.A. Henzinger, M. Lechner, D. Zikelic, in:, Proceedings of the AAAI Conference on Artificial Intelligence, AAAI Press, 2021, pp. 3787–3795.
LibreCat: https://research-explorer.ista.ac.at/record/10665
arXiv: 2012.08185

Infinite time horizon safety of Bayesian neural networks
M. Lechner, Ð. dikeli, K. Chatterjee, T.A. Henzinger, in:, 35th Conference on Neural Information Processing Systems, 2021.
LibreCat: https://research-explorer.ista.ac.at/record/10667
DOI: 10.48550/arXiv.2111.03165
arXiv: 2111.03165