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386 Publications

2020 | Conference Paper | IST-REx-ID: 9632 | OA
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.
[Published Version] View | Download Published Version (ext.) | arXiv
 
2020 | Conference Paper | IST-REx-ID: 9103 | OA
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.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2020 | Conference Paper | IST-REx-ID: 10672 | OA
Learning representations for binary-classification without backpropagation
M. Lechner, in:, 8th International Conference on Learning Representations, ICLR, 2020.
[Published Version] View | Files available | Download Published Version (ext.)
 
2020 | Conference Paper | IST-REx-ID: 7808 | OA
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.
[Published Version] View | Files available | DOI
 
2020 | Journal Article | IST-REx-ID: 6761 | OA
Dynamic resource allocation games
G. Avni, T.A. Henzinger, O. Kupferman, Theoretical Computer Science 807 (2020) 42–55.
[Submitted Version] View | Files available | DOI | WoS
 
2020 | Conference Paper | IST-REx-ID: 7505 | OA
Outside the box: Abstraction-based monitoring of neural networks
T.A. Henzinger, A. Lukina, C. Schilling, in:, 24th European Conference on Artificial Intelligence, IOS Press, 2020, pp. 2433–2440.
[Published Version] View | Files available | DOI | WoS | arXiv
 
2020 | Conference Paper | IST-REx-ID: 8194 | OA
An SMT theory of fixed-point arithmetic
M. Baranowski, S. He, M. Lechner, T.S. Nguyen, Z. Rakamarić, in:, Automated Reasoning, Springer Nature, 2020, pp. 13–31.
[Published Version] View | DOI | Download Published Version (ext.) | WoS
 
2020 | Journal Article | IST-REx-ID: 8679
Neural circuit policies enabling auditable autonomy
M. Lechner, R. Hasani, A. Amini, T.A. Henzinger, D. Rus, R. Grosu, Nature Machine Intelligence 2 (2020) 642–652.
View | Files available | DOI | WoS
 
2020 | Conference Paper | IST-REx-ID: 8704 | OA
Gershgorin loss stabilizes the recurrent neural network compartment of an end-to-end robot learning scheme
M. Lechner, R. Hasani, D. Rus, R. Grosu, in:, Proceedings - IEEE International Conference on Robotics and Automation, IEEE, 2020, pp. 5446–5452.
[Submitted Version] View | Files available | DOI | WoS
 
2020 | Conference Paper | IST-REx-ID: 8750 | OA
Efficient reachability analysis of parametric linear hybrid systems with time-triggered transitions
M. Forets, D. Freire, C. Schilling, in:, 18th ACM-IEEE International Conference on Formal Methods and Models for System Design, IEEE, 2020.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 

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