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Ieva Daukantas
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2020 – today
- 2024
- [c4]Pei Huang, Haoze Wu, Yuting Yang, Ieva Daukantas, Min Wu, Yedi Zhang, Clark W. Barrett:
Towards Efficient Verification of Quantized Neural Networks. AAAI 2024: 21152-21160 - [c3]Reynald Affeldt
, Clark W. Barrett, Alessandro Bruni, Ieva Daukantas, Harun Khan, Takafumi Saikawa, Carsten Schürmann:
Robust Mean Estimation by All Means (Short Paper). ITP 2024: 39:1-39:8 - [c2]Pei Huang, Yuting Yang, Haoze Wu, Ieva Daukantas, Min Wu, Fuqi Jia, Clark W. Barrett:
Parallel Verification for δ-Equivalence of Neural Network Quantization. SAIV 2024: 78-99 - [i3]Udayan Mandal, Guy Amir, Haoze Wu, Ieva Daukantas, Fletcher Lee Newell, Umberto J. Ravaioli, Baoluo Meng, Michael Durling, Milan Ganai, Tobey Shim, Guy Katz, Clark W. Barrett:
Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier Certificates. CoRR abs/2405.14058 (2024) - [i2]Udayan Mandal, Guy Amir, Haoze Wu, Ieva Daukantas, Fletcher Lee Newell, Umberto J. Ravaioli, Baoluo Meng, Michael Durling, Kerianne Hobbs, Milan Ganai, Tobey Shim, Guy Katz, Clark W. Barrett:
Safe and Reliable Training of Learning-Based Aerospace Controllers. CoRR abs/2407.07088 (2024) - 2023
- [i1]Pei Huang, Haoze Wu, Yuting Yang, Ieva Daukantas, Min Wu, Yedi Zhang, Clark W. Barrett:
Towards Efficient Verification of Quantized Neural Networks. CoRR abs/2312.12679 (2023) - 2021
- [c1]Ieva Daukantas, Alessandro Bruni, Carsten Schürmann:
Trimming Data Sets: a Verified Algorithm for Robust Mean Estimation. PPDP 2021: 17:1-17:9
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