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2020 – today
- 2024
[i12]Romeo Valentin, Sydney M. Katz, Joonghyun Lee, Don Walker, Matthew Sorgenfrei, Mykel J. Kochenderfer:
Probabilistic Parameter Estimators and Calibration Metrics for Pose Estimation from Image Features. CoRR abs/2407.16223 (2024)- 2023
- [j2]Sydney M. Katz
, Kyle D. Julian, Christopher A. Strong, Mykel J. Kochenderfer:
Generating probabilistic safety guarantees for neural network controllers. Mach. Learn. 112(8): 2903-2931 (2023) - [c3]Elysia Q. Smyers, Sydney M. Katz, Anthony Corso, Mykel J. Kochenderfer:
AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator. NeurIPS 2023 - [i11]Elysia Q. Smyers, Sydney M. Katz, Anthony L. Corso, Mykel J. Kochenderfer:
AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator. CoRR abs/2306.11203 (2023) - [i10]Sydney M. Katz, Anthony L. Corso, Esen Yel, Mykel J. Kochenderfer:
Efficient Determination of Safety Requirements for Perception Systems. CoRR abs/2307.01371 (2023) - 2022
- [j1]Sydney M. Katz, Anthony L. Corso, Christopher A. Strong, Mykel J. Kochenderfer:
Verification of Image-Based Neural Network Controllers Using Generative Models. J. Aerosp. Inf. Syst. 19(9): 574-584 (2022) - [c2]Christopher A. Strong, Sydney M. Katz, Anthony L. Corso, Mykel J. Kochenderfer:
ZoPE: A Fast Optimizer for ReLU Networks with Low-Dimensional Inputs. NFM 2022: 299-317 - [c1]Anthony Corso, Sydney M. Katz, Craig Innes, Xin Du, Subramanian Ramamoorthy, Mykel J. Kochenderfer:
Risk-Driven Design of Perception Systems. NeurIPS 2022 - [i9]Chelsea Sidrane, Sydney M. Katz, Anthony Corso, Mykel J. Kochenderfer:
Verifying Inverse Model Neural Networks. CoRR abs/2202.02429 (2022) - [i8]Sydney M. Katz, Luis E. Alvarez, Michael P. Owen, Samuel Wu, Marc Brittain, Anshuman Das, Mykel J. Kochenderfer:
Collision Risk and Operational Impact of Speed Change Advisories as Aircraft Collision Avoidance Maneuvers. CoRR abs/2204.14250 (2022) - [i7]Anthony L. Corso, Sydney M. Katz, Craig Innes, Xin Du, Subramanian Ramamoorthy, Mykel J. Kochenderfer:
Risk-Driven Design of Perception Systems. CoRR abs/2205.10677 (2022) - [i6]Nicholas Rober, Sydney M. Katz, Chelsea Sidrane, Esen Yel, Michael Everett, Mykel J. Kochenderfer, Jonathan P. How:
Backward Reachability Analysis of Neural Feedback Loops: Techniques for Linear and Nonlinear Systems. CoRR abs/2209.14076 (2022) - 2021
- [i5]Sydney M. Katz, Kyle D. Julian, Christopher A. Strong, Mykel J. Kochenderfer:
Generating Probabilistic Safety Guarantees for Neural Network Controllers. CoRR abs/2103.01203 (2021) - [i4]Sydney M. Katz, Amir Maleki, Erdem Biyik, Mykel J. Kochenderfer:
Preference-based Learning of Reward Function Features. CoRR abs/2103.02727 (2021) - [i3]Sydney M. Katz, Anthony L. Corso, Christopher A. Strong, Mykel J. Kochenderfer:
Verification of Image-based Neural Network Controllers Using Generative Models. CoRR abs/2105.07091 (2021) - [i2]Christopher A. Strong, Sydney M. Katz, Anthony L. Corso, Mykel J. Kochenderfer:
ZoPE: A Fast Optimizer for ReLU Networks with Low-Dimensional Inputs. CoRR abs/2106.05325 (2021)
2010 – 2019
- 2019
- [i1]Sydney M. Katz, Anne-Claire Le Bihan, Mykel J. Kochenderfer:
Learning an Urban Air Mobility Encounter Model from Expert Preferences. CoRR abs/1907.05575 (2019)
Coauthor Index
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