Sotabase

Career

· Professor of Computing and Mathematical Sciences, California Institute of Technology2014–
· Research Scientist, Disney Research2013–2014
· PhD in Computer Science, Cornell University2011–
· Postdoctoral Researcher, Carnegie Mellon University2010–2013
· Bachelor of Science in Computer Science, University of Illinois at Urbana-Champaign2005–

Publications (97)

Neural Lander: Stable Drone Landing Control Using Learned Dynamics
IEEE International Conference on Robotics and Automation · 2018
319
cited
A deep learning approach for generalized speech animation
ACM Transactions on Graphics · 2017
316
cited
Neural-Fly enables rapid learning for agile flight in strong winds
Science Robotics · 2022
252
cited
Hierarchical Imitation and Reinforcement Learning
International Conference on Machine Learning · 2018
208
cited
Linear Submodular Bandits and their Application to Diversified Retrieval
Neural Information Processing Systems · 2011
180
cited
Reliable Real‐Time Seismic Signal/Noise Discrimination With Machine Learning
Journal of Geophysical Research: Solid Earth · 2019
114
cited
Neurosymbolic Programming
Found. Trends Program. Lang. · 2021
100
cited
Preference-Based Learning for Exoskeleton Gait Optimization
IEEE International Conference on Robotics and Automation · 2019
99
cited
Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms Using Learned Interactions
IEEE Transactions on robotics · 2020
89
cited
A General Large Neighborhood Search Framework for Solving Integer Linear Programs
Neural Information Processing Systems · 2020
79
cited
The Power of Predictions in Online Control
Neural Information Processing Systems · 2020
79
cited
LyaNet: A Lyapunov Framework for Training Neural ODEs
International Conference on Machine Learning · 2022
73
cited
Teaching Categories to Human Learners with Visual Explanations
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2018
73
cited
Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions
IEEE International Conference on Robotics and Automation · 2020
72
cited
Online Optimization with Memory and Competitive Control
Neural Information Processing Systems · 2020
64
cited
Robust Regression for Safe Exploration in Control
Conference on Learning for Dynamics & Control · 2019
64
cited
Task Programming: Learning Data Efficient Behavior Representations
Computer Vision and Pattern Recognition · 2020
64
cited
The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions
NeurIPS Datasets and Benchmarks · 2021
63
cited
Using deep reinforcement learning to reveal how the brain encodes abstract state-space representations in high-dimensional environments
Neuron · 2020
60
cited
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems
IEEE Robotics Autom. Lett. · 2020
54
cited
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