Ieva Daukantas

According to our database, Ieva Daukantas authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Safe and Reliable Training of Learning-Based Aerospace Controllers.

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

CoRR, 2024

Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier Certificates.

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

CoRR, 2024

Parallel Verification for δ-Equivalence of Neural Network Quantization.

Pei Huang, Yuting Yang, Haoze Wu, Ieva Daukantas, Min Wu, Fuqi Jia, Clark W. Barrett

Proceedings of the AI Verification - First International Symposium, 2024

Robust Mean Estimation by All Means (Short Paper).

Reynald Affeldt, Clark W. Barrett, Alessandro Bruni, Ieva Daukantas, Harun Khan, Takafumi Saikawa, Carsten Schürmann

Proceedings of the 15th International Conference on Interactive Theorem Proving, 2024

Towards Efficient Verification of Quantized Neural Networks.

Pei Huang, Haoze Wu, Yuting Yang, Ieva Daukantas, Min Wu, Yedi Zhang, Clark W. Barrett

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2021

Trimming Data Sets: a Verified Algorithm for Robust Mean Estimation.

Ieva Daukantas, Alessandro Bruni, Carsten Schürmann

Proceedings of the PPDP 2021: 23rd International Symposium on Principles and Practice of Declarative Programming, 2021