Quantitative and approximate monitoring
T.A. Henzinger, N.E. Sarac, in:, Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science, Institute of Electrical and Electronics Engineers, 2021.
LibreCat: https://research-explorer.ista.ac.at/record/9356
DOI: 10.1109/LICS52264.2021.9470547
WoS: 000947350400021
arXiv: 2105.08353

Long lived transients in gene regulation
T. Petrov, C. Igler, A. Sezgin, T.A. Henzinger, C.C. Guet, Theoretical Computer Science 893 (2021) 1–16.
LibreCat: https://research-explorer.ista.ac.at/record/9647
DOI: 10.1016/j.tcs.2021.05.023
WoS: 000710180500002

Differential monitoring
F. Mühlböck, T.A. Henzinger, in:, International Conference on Runtime Verification, Springer Nature, Cham, 2021, pp. 231–243.
LibreCat: https://research-explorer.ista.ac.at/record/10108
DOI: 10.1007/978-3-030-88494-9_12
WoS: 000719383800012

Differential monitoring
F. Mühlböck, T.A. Henzinger, Differential Monitoring, IST Austria, 2021.
LibreCat: https://research-explorer.ista.ac.at/record/9946
DOI: 10.15479/AT:ISTA:9946

Interactive analysis of CNN robustness
S. Sietzen, M. Lechner, J. Borowski, R. Hasani, M. Waldner, Computer Graphics Forum 40 (2021) 253–264.
LibreCat: https://research-explorer.ista.ac.at/record/10404
DOI: 10.1111/cgf.14418
WoS: 000722952000024
arXiv: 2110.07667

Determinacy in discrete-bidding infinite-duration games
M. Aghajohari, G. Avni, T.A. Henzinger, Logical Methods in Computer Science 17 (2021) 10:1-10:23.
LibreCat: https://research-explorer.ista.ac.at/record/10674
DOI: 10.23638/LMCS-17(1:10)2021
WoS: 000658724600010
arXiv: 1905.03588

Adversarial training is not ready for robot learning
M. Lechner, R. Hasani, R. Grosu, D. Rus, T.A. Henzinger, in:, 2021 IEEE International Conference on Robotics and Automation, 2021, pp. 4140–4147.
LibreCat: https://research-explorer.ista.ac.at/record/10666
DOI: 10.1109/ICRA48506.2021.9561036
WoS: 000765738803040
arXiv: 2103.08187

Into the unknown: active monitoring of neural networks
A. Lukina, C. Schilling, T.A. Henzinger, in:, 21st International Conference on Runtime Verification, Springer Nature, Cham, 2021, pp. 42–61.
LibreCat: https://research-explorer.ista.ac.at/record/10206
DOI: 10.1007/978-3-030-88494-9_3
WoS: 000719383800003
arXiv: 2009.06429

A natural lottery ticket winner: Reinforcement learning with ordinary neural circuits
R. Hasani, M. Lechner, A. Amini, D. Rus, R. Grosu, in:, Proceedings of the 37th International Conference on Machine Learning, 2020, pp. 4082–4093.
LibreCat: https://research-explorer.ista.ac.at/record/10673

Monitoring event frequencies
T. Ferrere, T.A. Henzinger, B. Kragl, in:, 28th EACSL Annual Conference on Computer Science Logic, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/7348
DOI: 10.4230/LIPIcs.CSL.2020.20
arXiv: 1910.06097

ARCH-COM Category Report: Continuous and hybrid systems with linear dynamics
M. Althoff, S. Bak, Z. Bao, M. Forets, G. Frehse, D. Freire, N. Kochdumper, Y. Li, S. Mitra, R. Ray, C. Schilling, S. Schupp, M. Wetzlinger, in:, EPiC Series in Computing, EasyChair, 2020, pp. 16–48.
LibreCat: https://research-explorer.ista.ac.at/record/8572
DOI: 10.29007/7dt2

ARCH-COM Category Report: Continuous and hybrid systems with nonlinear dynamics
L. Geretti, J. Alexandre Dit Sandretto, M. Althoff, L. Benet, A. Chapoutot, X. Chen, P. Collins, M. Forets, D. Freire, F. Immler, N. Kochdumper, D. Sanders, C. Schilling, in:, EPiC Series in Computing, EasyChair, 2020, pp. 49–75.
LibreCat: https://research-explorer.ista.ac.at/record/8571
DOI: 10.29007/zkf6

Multi-dimensional long-run average problems for vector addition systems with states
K. Chatterjee, T.A. Henzinger, J. Otop, in:, 31st International Conference on Concurrency Theory, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/8600
DOI: 10.4230/LIPIcs.CONCUR.2020.23
arXiv: 2007.08917

A survey of bidding games on graphs
G. Avni, T.A. Henzinger, in:, 31st International Conference on Concurrency Theory, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/8599
DOI: 10.4230/LIPIcs.CONCUR.2020.2

Formal methods with a touch of magic
P.A. Alamdari, G. Avni, T.A. Henzinger, A. Lukina, in:, Proceedings of the 20th Conference on Formal Methods in Computer-Aided Design, TU Wien Academic Press, 2020, pp. 138–147.
LibreCat: https://research-explorer.ista.ac.at/record/9040
DOI: 10.34727/2020/isbn.978-3-85448-042-6_21

WoodFisher: Efficient second-order approximation for neural network compression
S.P. Singh, D.-A. Alistarh, in:, Advances in Neural Information Processing Systems, Curran Associates, 2020, pp. 18098–18109.
LibreCat: https://research-explorer.ista.ac.at/record/9632
arXiv: 2004.14340

Lagrangian reachtubes: The next generation
S. Gruenbacher, J. Cyranka, M. Lechner, M.A. Islam, S.A. Smolka, R. Grosu, in:, Proceedings of the 59th IEEE Conference on Decision and Control, IEEE, 2020, pp. 1556–1563.
LibreCat: https://research-explorer.ista.ac.at/record/9103
DOI: 10.1109/CDC42340.2020.9304042
arXiv: 2012.07458

Learning representations for binary-classification without backpropagation
M. Lechner, in:, 8th International Conference on Learning Representations, ICLR, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/10672

How many bits does it take to quantize your neural network?
M. Giacobbe, T.A. Henzinger, M. Lechner, in:, International Conference on Tools and Algorithms for the Construction and Analysis of Systems, Springer Nature, 2020, pp. 79–97.
LibreCat: https://research-explorer.ista.ac.at/record/7808
DOI: 10.1007/978-3-030-45237-7_5

Dynamic resource allocation games
G. Avni, T.A. Henzinger, O. Kupferman, Theoretical Computer Science 807 (2020) 42–55.
LibreCat: https://research-explorer.ista.ac.at/record/6761
DOI: 10.1016/j.tcs.2019.06.031
WoS: 000512219400004