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387 Publications

2020 | Conference Paper | IST-REx-ID: 9040 | OA
Alamdari PA, Avni G, Henzinger TA, Lukina A. Formal methods with a touch of magic. In: Proceedings of the 20th Conference on Formal Methods in Computer-Aided Design. TU Wien Academic Press; 2020:138-147. doi:10.34727/2020/isbn.978-3-85448-042-6_21
[Published Version] View | Files available | DOI
 
2020 | Conference Paper | IST-REx-ID: 9632 | OA
Singh SP, Alistarh D-A. WoodFisher: Efficient second-order approximation for neural network compression. In: Advances in Neural Information Processing Systems. Vol 33. Curran Associates; 2020:18098-18109.
[Published Version] View | Download Published Version (ext.) | arXiv
 
2020 | Conference Paper | IST-REx-ID: 9103 | OA
Gruenbacher S, Cyranka J, Lechner M, Islam MA, Smolka SA, Grosu R. Lagrangian reachtubes: The next generation. In: Proceedings of the 59th IEEE Conference on Decision and Control. Vol 2020. IEEE; 2020:1556-1563. doi:10.1109/CDC42340.2020.9304042
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2020 | Conference Paper | IST-REx-ID: 10672 | OA
Lechner M. Learning representations for binary-classification without backpropagation. 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
Giacobbe M, Henzinger TA, Lechner M. 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. Springer Nature; 2020:79-97. doi:10.1007/978-3-030-45237-7_5
[Published Version] View | Files available | DOI
 

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