High rank elliptic curves with torsion group Integer/(2*Integer). - Julián Aguirre; Fernando Castañeda; Juan Carlos Peral (Math. Comput., 2004)

Learning Min-norm Stabilizing Control Laws for Systems with Unknown Dynamics. - Tyler Westenbroek; Fernando Castañeda; Ayush Agrawal; S. Shankar Sastry; Koushil Sreenath (CDC, 2020)

Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning. - Fernando Castañeda; Mathias Wulfman; Ayush Agrawal; Tyler Westenbroek; Shankar Sastry 001; Claire J. Tomlin; Koushil Sreenath (L4DC, 2020)

Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions. - Jason J. Choi; Fernando Castañeda; Claire J. Tomlin; Koushil Sreenath (Robotics: Science and Systems, 2020)

Gaussian Process-based Min-norm Stabilizing Controller for Control-Affine Systems with Uncertain Input Effects. - Fernando Castañeda; Jason J. Choi; Bike Zhang; Claire J. Tomlin; Koushil Sreenath (CoRR, 2020)

Combining Model-Based Design and Model-Free Policy Optimization to Learn Safe, Stabilizing Controllers. - Tyler Westenbroek; Ayush Agrawal; Fernando Castañeda; S. Shankar Sastry; Koushil Sreenath (ADHS, 2021)

Gaussian Process-based Min-norm Stabilizing Controller for Control-Affine Systems with Uncertain Input Effects and Dynamics. - Fernando Castañeda; Jason J. Choi; Bike Zhang; Claire J. Tomlin; Koushil Sreenath (ACC, 2021)

Pointwise Feasibility of Gaussian Process-based Safety-Critical Control under Model Uncertainty. - Fernando Castañeda; Jason J. Choi; Bike Zhang; Claire J. Tomlin; Koushil Sreenath (CDC, 2021)

Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning. - Tyler Westenbroek; Fernando Castañeda; Ayush Agrawal; Shankar Sastry 001; Koushil Sreenath (CoRL, 2022)

Probabilistic Safe Online Learning with Control Barrier Functions. - Fernando Castañeda; Jason J. Choi; Wonsuhk Jung; Bike Zhang; Claire J. Tomlin; Koushil Sreenath (CoRR, 2022)

In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States. - Fernando Castañeda; Haruki Nishimura; Rowan Thomas McAllister; Koushil Sreenath; Adrien Gaidon (L4DC, 2023)

Constraint-Guided Online Data Selection for Scalable Data-Driven Safety Filters in Uncertain Robotic Systems. - Jason J. Choi; Fernando Castañeda; Wonsuhk Jung; Bike Zhang; Claire J. Tomlin; Koushil Sreenath (IEEE Trans. Robotics, 2025)

GR00T N1: An Open Foundation Model for Generalist Humanoid Robots. - Johan Bjorck; Fernando Castañeda; Nikita Cherniadev; Xingye Da; Runyu Ding; Linxi; Yu Fang; Dieter Fox; Fengyuan Hu; Spencer Huang; Joel Jang; Zhenyu Jiang 002; et al. (CoRR, 2025)