Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report | Paper Citation Record

Observation 2cda9a78-6945-4a65-80b1-cf3a4be32982 · outbound

This paper cites In Aaron Dutle, Mariano M.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report In Aaron Dutle, Mariano M

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This paper cites The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

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This paper cites The Fourth International Verification of Neural Networks Competition (VNN-COMP 2023): Summary and Results.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report The Fourth International Verification of Neural Networks Competition (VNN-COMP 2023): Summary and Results

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This paper cites Bunel, Ilker Turkaslan, Philip Torr, Pushmeet Kohli & Pawan K.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Bunel, Ilker Turkaslan, Philip Torr, Pushmeet Kohli & Pawan K

Reference 4

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This paper cites Daggitt, Wen Kokke, Guy Katz, Guy Amir & Idan Refaeli (2022): Neural Network Robustness as a Verification Property: A Principled Case Study.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Daggitt, Wen Kokke, Guy Katz, Guy Amir & Idan Refaeli (2022): Neural Network Robustness as a Verification Property: A Principled Case Study

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This paper cites In: Proceedings of the 35th International Conference on Machine Learning, PMLR, pp.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report In: Proceedings of the 35th International Conference on Machine Learning, PMLR, pp

Reference 6

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This paper cites Pappas (2022): Risk verifica- tion of stochastic systems with neural network controllers.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Pappas (2022): Risk verifica- tion of stochastic systems with neural network controllers

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This paper cites comma.ai.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report comma.ai

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This paper cites In: Proceedings of the 36th International Conference on Machine Learning, PMLR, pp.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report In: Proceedings of the 36th International Conference on Machine Learning, PMLR, pp

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This paper cites Comparing differentiable logics for learning with logical constraints.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Comparing differentiable logics for learning with logical constraints

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This paper cites Fremont, Johnathan Chiu, Dragos D.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Fremont, Johnathan Chiu, Dragos D

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Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Unresolved cited work

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This paper cites Habeeb, Nabarun Deka, Deepak D’Souza, Kamal Lodaya & Pavithra Prabhakar (2023): Verification of Camera-Based Autonomous Systems.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Habeeb, Nabarun Deka, Deepak D’Souza, Kamal Lodaya & Pavithra Prabhakar (2023): Verification of Camera-Based Autonomous Systems

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This paper cites (2024): LI-IMX219-MIPI-FF-NANO-H136—Leopard Imaging Inc.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report (2024): LI-IMX219-MIPI-FF-NANO-H136—Leopard Imaging Inc

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Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Carpenter, James Weimer, Rajeev Alur, George J

Reference 15

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This paper cites (2024): JetBot.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report (2024): JetBot

Reference 16

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This paper cites Available at https://jetbot.org/master/examples/road_ following.html.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Available at https://jetbot.org/master/examples/road_ following.html

Reference 17

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This paper cites Dill, Kyle Julian & Mykel J.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Dill, Kyle Julian & Mykel J

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This paper cites Huang, Duligur Ibeling, Kyle Julian, Christopher Lazarus, Rachel Lim, Parth Shah, Shantanu Thakoor, Haoze Wu, Aleksandar Zelji´c, David L.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Huang, Duligur Ibeling, Kyle Julian, Christopher Lazarus, Rachel Lim, Parth Shah, Shantanu Thakoor, Haoze Wu, Aleksandar Zelji´c, David L

Reference 19

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This paper cites Zico Kolter, Krishnamurthy Dvijotham & Huan Zhang (2023): Prov- ably Bounding Neural Network Preimages.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Zico Kolter, Krishnamurthy Dvijotham & Huan Zhang (2023): Prov- ably Bounding Neural Network Preimages

Reference 20

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This paper cites IEEE/CAA Journal of Automatica Sinica 7(2), pp.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report IEEE/CAA Journal of Automatica Sinica 7(2), pp

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This paper cites In: International Conference on Learning Representations.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report In: International Conference on Learning Representations

Reference 22

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This paper cites The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results

Reference 23

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This paper cites Available at https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-nano/ product-development/.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Available at https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-nano/ product-development/

Reference 24

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This paper cites Journal of Big Data 10(1), p.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Journal of Big Data 10(1), p

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This paper cites Pomerleau (1988): ALVINN: An Autonomous Land Vehicle in a Neural Network.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Pomerleau (1988): ALVINN: An Autonomous Land Vehicle in a Neural Network

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This paper cites Santora & Mohsin M.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Santora & Mohsin M

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Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Communica- tions of the ACM 65(7), pp

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Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Neural Network Verification with Branch-and-Bound for General Nonlinearities

Reference 29

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Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Dwyer (2021):DNNV: A Framework for Deep Neural Network Verification

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Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report In: Advances in Neural Information Processing Systems, 32, Curran Associates, Inc

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This paper cites In: Proceedings of the 32nd International Conference on Neural Information Processing Systems, NIPS’18, Curran Associates Inc., Red Hook, NY , USA, pp.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report In: Proceedings of the 32nd International Conference on Neural Information Processing Systems, NIPS’18, Curran Associates Inc., Red Hook, NY , USA, pp

Reference 32

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This paper cites In: International Conference on Learning Representations.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report In: International Conference on Learning Representations

Reference 33

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This paper cites Proceedings of the ACM on Programming Languages 3(POPL), pp.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Proceedings of the ACM on Programming Languages 3(POPL), pp

Reference 34

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This paper cites In: EPiC Series in Computing, 94, EasyChair, pp.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report In: EPiC Series in Computing, 94, EasyChair, pp

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This paper cites Available at https://www.sparkfun.com/products/18486.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Available at https://www.sparkfun.com/products/18486

Reference 36

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This paper cites In: Proceedings of the 22nd ACM International Conference on Hybrid Systems: Computation and Control, pp.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report In: Proceedings of the 22nd ACM International Conference on Hybrid Systems: Computation and Control, pp

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Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Unresolved cited work

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This paper cites Johnson (2020): Verification of Deep Con- volutional Neural Networks Using ImageStars.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Johnson (2020): Verification of Deep Con- volutional Neural Networks Using ImageStars

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This paper cites Johnson (2020): NNV: The Neural Network Verification Tool for Deep Neural Networks and Learning-Enabled Cyber-Physical Systems.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Johnson (2020): NNV: The Neural Network Verification Tool for Deep Neural Networks and Learning-Enabled Cyber-Physical Systems

Reference 40

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This paper cites Artificial Intelligence 302, p.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Artificial Intelligence 302, p

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This paper cites Zico Kolter (2021): Beta- CROWN: Efficient bound propagation with per-neuron split constraints for complete and incomplete neural network verification.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Zico Kolter (2021): Beta- CROWN: Efficient bound propagation with per-neuron split constraints for complete and incomplete neural network verification

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This paper cites Advances in Neural Information Processing Systems 33.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Advances in Neural Information Processing Systems 33

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This paper cites In: International Conference on Learning Representations.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report In: International Conference on Learning Representations

Reference 44

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This paper cites Zico Kolter (2022): General Cutting Planes for Bound-Propagation-Based Neural Network Verification.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Zico Kolter (2022): General Cutting Planes for Bound-Propagation-Based Neural Network Verification

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This paper cites In: Advances in Neural Information Processing Systems, 31, Curran Associates, Inc.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report In: Advances in Neural Information Processing Systems, 31, Curran Associates, Inc

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:31:53.938642Z

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This paper cites Burke (2024): Autonomous driving system: A comprehensive survey.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Burke (2024): Autonomous driving system: A comprehensive survey

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