| A Preference Learning Approach to Develop Safe and Personalizable Autonomous Vehicles R Karagulle, N Aréchiga, A Best, J DeCastro, N Ozay arXiv preprint arXiv:2311.02099, 2023 | | 2023 |
| A Safe Preference Learning Approach for Personalization with Applications to Autonomous Vehicles R Karagulle, N Aréchiga, A Best, J DeCastro, N Ozay IEEE Robotics and Automation Letters, 2024 | 1 | 2024 |
| Accelerating understanding of scientific experiments with end to end symbolic regression N Aréchiga, F Chen, YY Chen, Y Zhang, R Iliev, H Toyoda, K Lyons arXiv preprint arXiv:2112.04023, 2021 | 7 | 2021 |
| Actively adapting to driving environments based on human interactions S Kong, J DeCastro, N Arechiga, F Permenter US Patent 11,801,852, 2023 | | 2023 |
| Actively adapting to driving environments based on human interactions S Kong, J DeCastro, N Arechiga, F Permenter US Patent 11,072,342, 2021 | 9 | 2021 |
| ADAS virtual prototyping using modelica and unity co-simulation via openmeta M Yamaura, N Arechiga, S Shiraishi, S Eisele, J Hite, S Neema, J Scott, ... The First Japanese Modelica Conferences, 43-49, 2016 | 16 | 2016 |
| ADAS virtual prototyping with the OpenMETA toolchain S Eisele, M Yamaura, N Arechiga, S Shiraishi, J Hite, J Scott, S Neema, ... SAE International Journal of Passenger Cars-Electronic and Electrical …, 2016 | 14 | 2016 |
| Augmented reality vehicular assistance for color blindness S Dai, N Arechiga, CW Lin, S Shiraishi US Patent 10,527,849, 2020 | 1 | 2020 |
| Automatic testing and falsification with dynamically constrained reinforcement learning X Qin, N Aréchiga, A Best, J Deshmukh arXiv preprint arXiv:1910.13645, 2019 | 33 | 2019 |
| Automatic testing with reusable adversarial agents X Qin, N Aréchiga, A Best, J Deshmukh arXiv preprint arXiv:1910.13645, 2019 | 5 | 2019 |
| Backpropagation for parametric STL K Leung, N Aréchiga, M Pavone 2019 IEEE Intelligent Vehicles Symposium (IV), 185-192, 2019 | 29 | 2019 |
| Backpropagation through signal temporal logic specifications: Infusing logical structure into gradient-based methods K Leung, N Aréchiga, M Pavone The International Journal of Robotics Research 42 (6), 356-370, 2023 | 92 | 2023 |
| Better AI through logical scaffolding N Arechiga, J DeCastro, S Kong, K Leung arXiv preprint arXiv:1909.06965, 2019 | 2 | 2019 |
| Bridging Design Gaps: A Parametric Data Completion Approach With Graph Guided Diffusion Models R Zhou, C Yuan, F Permenter, Y Zhang, N Arechiga, M Klenk, F Ahmed arXiv preprint arXiv:2406.11934, 2024 | | 2024 |
| Building a distributed robot garden N Correll, N Arechiga, A Bolger, M Bollini, B Charrow, A Clayton, ... 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2009 | 70 | 2009 |
| Can Behavioral Experts Predict Outcome Heterogeneity? R Iliev, ALS Filipowicz, ES Sumner, F Chen, N Arechiga, S Carter, ... Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45), 2023 | | 2023 |
| Certified control: A new safety architecture for autonomous vehicles J Chow, V Richmond, M Wang, U Guajardo, D Jackson, N Arechiga, G Litt, ... EMSOFT. https://arxiv. org/abs/2104.06178, submitted for publication, 2020 | 4 | 2020 |
| Certified control: An architecture for verifiable safety of autonomous vehicles D Jackson, V Richmond, M Wang, J Chow, U Guajardo, S Kong, ... arXiv preprint arXiv:2104.06178, 2021 | 4 | 2021 |
| Certified perception for autonomous cars U Guajardo, A Bryan, N Arechiga, S Campos, J Chow, D Jackson, S Kong, ... 6th Workshop On Monitoring And Testing Of Cyber-Physical Systems,, 2021 | 1 | 2021 |
| Classification of driving behaviors using stl formulas: A comparative study R Karagulle, N Aréchiga, J DeCastro, N Ozay International Conference on Formal Modeling and Analysis of Timed Systems …, 2022 | 3 | 2022 |
