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Tobias Ladner
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2020 – today
- 2024
- [c4]Tobias Ladner, Matthias Althoff:
Exponent Relaxation of Polynomial Zonotopes and Its Applications in Formal Neural Network Verification. AAAI 2024: 21304-21311 - [i4]Lukas Koller, Tobias Ladner, Matthias Althoff:
End-To-End Set-Based Training for Neural Network Verification. CoRR abs/2401.14961 (2024) - [i3]Tobias Ladner, Michael Eichelbeck, Matthias Althoff:
Formal Verification of Graph Convolutional Networks with Uncertain Node Features and Uncertain Graph Structure. CoRR abs/2404.15065 (2024) - [i2]Manuel Wendl, Lukas Koller, Tobias Ladner, Matthias Althoff:
Training Verifiably Robust Agents Using Set-Based Reinforcement Learning. CoRR abs/2408.09112 (2024) - 2023
- [c3]Diego Manzanas Lopez, Matthias Althoff, Marcelo Forets, Taylor T. Johnson, Tobias Ladner, Christian Schilling
:
ARCH-COMP23 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants. ARCH 2023: 89-125 - [c2]Tobias Ladner
Automatic Abstraction Refinement in Neural Network Verification using Sensitivity Analysis. HSCC 2023: 18:1-18:13 - [i1]Tobias Ladner, Matthias Althoff:
Specification-Driven Neural Network Reduction for Scalable Formal Verification. CoRR abs/2305.01932 (2023) - 2022
- [c1]Diego Manzanas Lopez, Matthias Althoff, Luis Benet
ARCH-COMP22 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants. ARCH@SAFECOMP 2022: 142-184
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last updated on 2024-09-26 00:58 CEST by the dblp team
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