4 Publications

Mark all

[4]
2020 | Conference Paper | IST-REx-ID: 7808 | OA
Giacobbe, M., Henzinger, T. A., & Lechner, M. (2020). 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, pp. 79–97). Dublin, Ireland: Springer Nature. https://doi.org/10.1007/978-3-030-45237-7_5
View | Files available | DOI
 
[3]
2020 | Conference Paper | IST-REx-ID: 8194 | OA
Baranowski, M., He, S., Lechner, M., Nguyen, T. S., & Rakamarić, Z. (2020). An SMT theory of fixed-point arithmetic. In Automated Reasoning (Vol. 12166, pp. 13–31). Paris, France: Springer Nature. https://doi.org/10.1007/978-3-030-51074-9_2
View | DOI | Download Published Version (ext.)
 
[2]
2020 | Journal Article | IST-REx-ID: 8679
Lechner, M., Hasani, R., Amini, A., Henzinger, T. A., Rus, D., & Grosu, R. (2020). Neural circuit policies enabling auditable autonomy. Nature Machine Intelligence, 2, 642–652. https://doi.org/10.1038/s42256-020-00237-3
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. (2019). Response characterization for auditing cell dynamics in long short-term memory networks. In Proceedings of the International Joint Conference on Neural Networks. Budapest, Hungary: IEEE. https://doi.org/10.1109/ijcnn.2019.8851954
View | DOI | Download Preprint (ext.) | arXiv
 

Search

Filter Publications

4 Publications

Mark all

[4]
2020 | Conference Paper | IST-REx-ID: 7808 | OA
Giacobbe, M., Henzinger, T. A., & Lechner, M. (2020). 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, pp. 79–97). Dublin, Ireland: Springer Nature. https://doi.org/10.1007/978-3-030-45237-7_5
View | Files available | DOI
 
[3]
2020 | Conference Paper | IST-REx-ID: 8194 | OA
Baranowski, M., He, S., Lechner, M., Nguyen, T. S., & Rakamarić, Z. (2020). An SMT theory of fixed-point arithmetic. In Automated Reasoning (Vol. 12166, pp. 13–31). Paris, France: Springer Nature. https://doi.org/10.1007/978-3-030-51074-9_2
View | DOI | Download Published Version (ext.)
 
[2]
2020 | Journal Article | IST-REx-ID: 8679
Lechner, M., Hasani, R., Amini, A., Henzinger, T. A., Rus, D., & Grosu, R. (2020). Neural circuit policies enabling auditable autonomy. Nature Machine Intelligence, 2, 642–652. https://doi.org/10.1038/s42256-020-00237-3
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. (2019). Response characterization for auditing cell dynamics in long short-term memory networks. In Proceedings of the International Joint Conference on Neural Networks. Budapest, Hungary: IEEE. https://doi.org/10.1109/ijcnn.2019.8851954
View | DOI | Download Preprint (ext.) | arXiv
 

Search

Filter Publications