7 Publications

Mark all

[7]
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.
View | DOI | Download Published Version (ext.)
 
[6]
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
 
[5]
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.
View | Files available | DOI
 
[4]
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.
View | Files available | DOI
 
[3]
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.
View | DOI | Download Preprint (ext.) | arXiv
 
[2]
2019 | Conference Paper | IST-REx-ID: 6888 | OA
Designing worm-inspired neural networks for interpretable robotic control
M. Lechner, R. Hasani, M. Zimmer, T.A. Henzinger, R. Grosu, in:, Proceedings - IEEE International Conference on Robotics and Automation, IEEE, 2019.
View | Files available | DOI
 
[1]
2019 | Conference Paper | IST-REx-ID: 6985 | OA
Response characterization for auditing cell dynamics in long short-term memory networks
R. Hasani, A. Amini, M. Lechner, F. Naser, R. Grosu, D. Rus, in:, Proceedings of the International Joint Conference on Neural Networks, IEEE, 2019.
View | DOI | Download Preprint (ext.) | arXiv
 

Search

Filter Publications

7 Publications

Mark all

[7]
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.
View | DOI | Download Published Version (ext.)
 
[6]
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
 
[5]
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.
View | Files available | DOI
 
[4]
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.
View | Files available | DOI
 
[3]
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.
View | DOI | Download Preprint (ext.) | arXiv
 
[2]
2019 | Conference Paper | IST-REx-ID: 6888 | OA
Designing worm-inspired neural networks for interpretable robotic control
M. Lechner, R. Hasani, M. Zimmer, T.A. Henzinger, R. Grosu, in:, Proceedings - IEEE International Conference on Robotics and Automation, IEEE, 2019.
View | Files available | DOI
 
[1]
2019 | Conference Paper | IST-REx-ID: 6985 | OA
Response characterization for auditing cell dynamics in long short-term memory networks
R. Hasani, A. Amini, M. Lechner, F. Naser, R. Grosu, D. Rus, in:, Proceedings of the International Joint Conference on Neural Networks, IEEE, 2019.
View | DOI | Download Preprint (ext.) | arXiv
 

Search

Filter Publications