(““)
https://www.cast.caltech.edu/
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Algorithmic Information Theory and Machine Learning: A new approach to
kernel learning; Physica D: Nonlinear Phenomena; Vol. 464; 134153;
10.1016/j.physd.2024.134153
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bias, algorithmic probability, and the random logistic map; Physica
D: Nonlinear Phenomena; Vol. 463; 134160; 10.1016/j.physd.2024.134160
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Minimally-Sensed Fault-Tolerant Adaptive Flight Control; IEEE
Robotics and Automation Letters; Vol. 9; No. 6; 5198 - 5205; 10.1109/lra.2024.3389414
- Chen, Timothy; Culbertson, Preston; et el. (2024) CATNIPS:
Collision Avoidance Through Neural Implicit Probabilistic Scenes;
IEEE Transactions on Robotics; 10.1109/tro.2024.3386394
- Lee, Connor; Anderson, Matthew; et el. (2024) CART:
Caltech Aerial RGB-Thermal Dataset in the Wild; 10.48550/arxiv.2403.08997
- Bach, Eviatar; Colonius, Tim; et el. (2024) Filtering
dynamical systems using observations of statistics; Chaos: An
Interdisciplinary Journal of Nonlinear Science; Vol. 34; No. 3; 33119;
10.1063/5.0171827
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Private Video Activity Recognition; ISBN 979-8-3503-1892-0; 2024
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);
IEEE; 6643-6653; 10.1109/wacv57701.2024.00652
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Object Detection via Scene-Specific Fusion Modules; ISBN
979-8-3503-1892-0; 2024 IEEE/CVF Winter Conference on Applications of
Computer Vision (WACV); IEEE: Piscataway, NJ; 7351-7360; 10.1109/wacv57701.2024.00720
- Ong, Pio and Ames, Aaron D. (2023) Intermittent
Safety Filters for Event-Triggered Safety Maneuvers with Application to
Satellite Orbit Transfers; ISBN 979-8-3503-0124-3; 2023 62nd IEEE
Conference on Decision and Control (CDC); IEEE: Piscataway, NJ; 870-877;
10.1109/cdc49753.2023.10383437
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anemometry for physics-informed inference of wind; Nature Reviews
Physics; 10.1038/s42254-023-00626-8
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Correction: Multi-Modal Mobility Morphobot (M4) with appendage
repurposing for locomotion plasticity enhancement; Nature
Communications; Vol. 14; 4740; PMCID PMC10406874; 10.1038/s41467-023-40466-9
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Mobility Morphobot (M4) with appendage repurposing for locomotion
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No. 3323; PMCID PMC10300070; 10.1038/s41467-023-39018-y
- Tang, Ellande and Chung, Soon-Jo (2023) Experiments
and Modeling of the Ceiling Effect with Drone-Scale Propellers; AIAA
Journal; 10.2514/1.j062568
- Dorobantu, Victor D.; Azizzadenesheli, Kamyar; et el. (2023) Compactly
Restrictable Metric Policy Optimization Problems; IEEE Transactions
on Automatic Control; Vol. 68; No. 5; 3115-3122; 10.1109/tac.2022.3217269
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subcritical cylinder wakes with Fourier Neural Operators
- Veismann, Marcel; Raffel, Jan; et el. (2023) Study
of Rotor-Jetpack-Wind Aerodynamic Interaction for Mid-Air Helicopter
Delivery on Mars; ISBN 978-1-6654-9032-0; 2023 IEEE Aerospace
Conference; IEEE: Piscataway, NJ; 1-16; 10.1109/aero55745.2023.10115979
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learning of stochastic differential equations with data adapted
kernels; Physica D; Vol. 444; Art. No. 133583; 10.1016/j.physd.2022.133583
- Akella, Prithvi; Wei, Skylar X.; et el. (2022) Learning
Disturbances Online for Risk-Aware Control: Risk-Aware Flight with Less
Than One Minute of Data; 10.48550/arXiv.2212.06253
- Csomay-Shanklin, Noel; Dorobantu, Victor D.; et el. (2022) Nonlinear
Model Predictive Control of a 3D Hopping Robot: Leveraging Lie Group
Integrators for Dynamically Stable Behaviors; 10.48550/arXiv.2209.11808
- Badithela, Apurva; Graebener, Josefine B.; et el. (2022) Synthesizing
Reactive Test Environments for Autonomous Systems: Testing Reach-Avoid
Specifications with Multi-Commodity Flows; 10.48550/arXiv.2210.10304
- Dorobantu, Victor D.; Azizzadenesheli, Kamyar; et el. (2022) Compactly
Restrictable Metric Policy Optimization Problems; 10.48550/arXiv.arXiv.2207.05850
- Ong, Pio; Bahati, Gilbert; et el. (2022) Stability
and Safety through Event-Triggered Intermittent Control with Application
to Spacecraft Orbit Stabilization; 10.48550/arXiv.arXiv.2204.03110
- Wen, Gege; Li, Zongyi; et el. (2022) U-FNO
– An enhanced Fourier neural operator-based deep-learning model for
multiphase flow; 10.48550/arXiv.arXiv.2109.03697
- Hamze Bajgiran, Hamed and Echenique, Federico (2022) Closure
Operators: Complexity and Applications to Classification and
Decision-making; ISBN 978-1-4503-9150-4; Proceedings of the 23rd ACM
Conference on Economics and Computation; Association for Computing
Machinery: New York, NY; 35-55; 10.1145/3490486.3538253
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Guidance and Control Architecture for Multi-Spacecraft On-Orbit
Inspection; Journal of Guidance, Control, and Dynamics; Vol. 45;
No. 7; 1184-1201; 10.2514/1.g006278
- Chen, Xin; Qu, Guannan; et el. (2022) Reinforcement
Learning for Selective Key Applications in Power Systems: Recent
Advances and Future Challenges; IEEE Transactions on Smart Grid;
Vol. 13; No. 4; 2935-2958; 10.1109/tsg.2022.3154718
- Singletary, Andrew; Ahmadi, Mohamadreza; et el. (2022) Safe
Control for Nonlinear Systems With Stochastic Uncertainty via Risk
Control Barrier Functions; IEEE Control Systems Letters; Vol. 7;
349-354; 10.1109/lcsys.2022.3187458
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of Models, Choices, Beliefs, and Preferences; 10.48550/arXiv.2111.11630
- Hamze Bajgiran, Hamed and Owhadi, Houman (2022) Aggregation
of Pareto optimal models; 10.48550/arXiv.2112.04161
- Hamze Bajgiran, Hamed; Batlle Franch, Pau; et el. (2022) Uncertainty
Quantification of the 4th kind; optimal posterior accuracy-uncertainty
tradeoff with the minimum enclosing ball; 10.48550/arXiv.2108.10517
- O’Connell, Michael; Shi, Guanya; et el. (2022) Neural-Fly
enables rapid learning for agile flight in strong winds; Science
Robotics; Vol. 7; No. 66; Art. No. eabm6597; 10.1126/scirobotics.abm6597
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enhanced Fourier neural operator-based deep-learning model for
multiphase flow; Advances in Water Resources; Vol. 163; Art.
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Backstepping with Control Barrier Functions; 10.48550/arXiv.arXiv.2204.00653
- Daftry, Shreyansh; Abcouwer, Neil; et el. (2022) MLNav:
Learning to Safely Navigate on Martian Terrains; IEEE Robotics and
Automation Letters; Vol. 7; No. 2; 5461-5468; 10.1109/lra.2022.3156654
- Shi, Guanya; Hönig, Wolfgang; et el. (2022) Neural-Swarm2:
Planning and Control of Heterogeneous Multirotor Swarms Using Learned
Interactions; IEEE Transactions on Robotics; Vol. 38; No. 2;
1063-1079; 10.1109/TRO.2021.3098436
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study of small-scale rotors in axial descent; Physics of Fluids;
Vol. 34; No. 3; Art. No. 035124; 10.1063/5.0083761
- Rivière, Benjamin and Chung, Soon-Jo (2022) H-TD²:
Hybrid Temporal Difference Learning for Adaptive Urban Taxi
Dispatch; IEEE Transactions on Intelligent Transportation Systems;
10.1109/tits.2021.3097297
- Wei, Nathaniel J. and Dabiri, John O. (2022) Phase-averaged
dynamics of a periodically surging wind turbine; Journal of
Renewable and Sustainable Energy; Vol. 14; No. 1; Art. No. 013305; 10.1063/5.0076029
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Stabilization with Control Lyapunov Functions via Quadratically
Constrained Quadratic Programs; IEEE Control Systems Letters; Vol.
6; 680-685; 10.1109/LCSYS.2021.3085172
- Folkestad, Carl; Chen, Yuxiao; et el. (2021) Data-Driven
Safety-Critical Control: Synthesizing Control Barrier Functions With
Koopman Operators; IEEE Control Systems Letters; Vol. 5; No. 6;
2012-2017; 10.1109/lcsys.2020.3046159
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Generalized Expectation-Maximization for Blind Inversion; ISBN
9781713845393; 35th Conference on Neural Information Processing Systems;
Neural Information Processing Systems foundation: La Jolla, CA;
1-12
- Shi, Guanya; Azizzadenesheli, Kamyar; et el. (2021) Meta-Adaptive
Nonlinear Control: Theory and Algorithms; 10.48550/arXiv.2106.06098
- Yoo, Gene Ryan and Owhadi, Houman (2021) Deep
regularization and direct training of the inner layers of Neural
Networks with Kernel Flows; Physica D: Nonlinear Phenomena; Vol.
426; Art. No. 132952; 10.1016/j.physd.2021.132952
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Theory Meets POMDPs: A Hybrid Systems Approach; IEEE Transactions on
Automatic Control; Vol. 66; No. 11; 5191-5204; 10.1109/tac.2020.3035755
- Tsukamoto, Hiroyasu; Chung, Soon-Jo; et el. (2021) Neural
Stochastic Contraction Metrics for Learning-based Control and
Estimation; IEEE Control Systems Letters; Vol. 5; No. 5; 1825-1830;
10.1109/lcsys.2020.3046529
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bipedal walking robot that can fly, slackline, and skateboard;
Science Robotics; Vol. 6; No. 59; Art. No. eabf8136; 10.1126/scirobotics.abf8136
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Tree Expansion for Multi-Robot Planning in Non-Cooperative
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6868-6875; 10.1109/LRA.2021.3096758
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Controller Design for Stochastic Nonlinear Systems via Convex
Optimization; IEEE Transactions on Automatic Control; Vol. 66;
No. 10; 4731-4746; 10.1109/TAC.2020.3038402
- Kovachki, Nikola; Li, Zongyi; et el. (2021) Neural
Operator: Learning Maps Between Function Spaces; 10.48550/arXiv.2108.08481
- Phan-Minh, Tung and Murray, Richard M. (2021) Contracts
of Reactivity; ISBN 978-9-4638-4236-5; 2021 European Control
Conference (ECC); IEEE: Piscataway, NJ; 2611-2618; 10.23919/ECC54610.2021.9654932
- Cardona, Jennifer L.; Bouman, Katherine L.; et el. (2021) Wind
speed inference from environmental flow-structure interactions; 10.48550/arXiv.2011.09609
- Matsuka, Kai; Feldman, Aaron O.; et el. (2021) Decentralized
formation pose estimation for spacecraft swarms; Advances in Space
Research; Vol. 67; No. 11; 3527-3545; 10.1016/j.asr.2020.06.016
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Control and Regret Minimization in Linear Quadratic Gaussian (LQG)
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(ACC); IEEE: Piscataway, NJ; 2517-2522; 10.23919/ACC50511.2021.9483309
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Multi-Target Sensory Coverage to Complete Sensory Coverage: An
Optimization-Based Robotic Sensory Coverage Approach; ISBN
978-1-7281-9077-8; 2021 IEEE International Conference on Robotics and
Automation (ICRA); IEEE: Piscataway, NJ; 10994-11000; 10.1109/icra48506.2021.9561213
- Tsukamoto, Hiroyasu; Chung, Soon-Jo; et el. (2021) Neural
Stochastic Contraction Metrics for Learning-based Control and
Estimation; ISBN 978-1-6654-4197-1; 2021 American Control Conference
(ACC); IEEE; 1275-1280; 10.23919/acc50511.2021.9482701
- Zhao, Eric; Liu, Anqi; et el. (2021) Active
Learning under Label Shift; Proceedings of Machine Learning
Research; Vol. 130; 3412-3420; 10.48550/arXiv.2007.08479
- Nakka, Yashwanth Kumar; Liu, Anqi; et el. (2021) Chance-Constrained
Trajectory Optimization for Safe Exploration and Learning of Nonlinear
Systems; IEEE Robotics and Automation Letters; Vol. 6; No. 2;
389-396; 10.1109/LRA.2020.3044033
- Voloshin, Cameron; Jiang, Nan; et el. (2021) Minimax
Model Learning; Proceedings of Machine Learning Research; Vol. 130;
1612-1620; 10.48550/arXiv.2103.02084
- Tavallali, Peyman; Hamze Bajgiran, Hamed; et el. (2021) Decision
Theoretic Bootstrapping; 10.48550/arXiv.2103.09982
- Khojasteh, Mohammad Javad; Hedayatpour, Mojtaba; et el. (2021) Exploiting
Timing Information in Event-Triggered Stabilization of Linear Systems
With Disturbances; IEEE Transactions on Control of Network Systems;
Vol. 8; No. 1; 15-27; 10.1109/tcns.2020.3030008
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Classification Models for the Prediction of Cross-Coupling Reaction
Conditions; Journal of Chemical Information and Modeling; Vol. 61;
No. 1; 156-166; 10.1021/acs.jcim.0c01234
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Contraction Metrics for Robust Estimation and Control: A Convex
Optimization Approach; IEEE Control Systems Letters; Vol. 5; No. 1;
211-216; 10.1109/lcsys.2020.3001646
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General Large Neighborhood Search Framework for Solving Integer
Programs; ISBN 9781713829546; 34th Conference on Neural Information
Processing Systems (NeurIPS 2020); Neural Information Processing
Foundation: La Jolla, CA; 1-12
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Amortized Policy Optimization; ISBN 9781713829546; 34th Conference
on Neural Information Processing Systems (NeurIPS 2020); Neural
Information Processing Foundation: La Jolla, CA; 1-15
- Li, Zongyi; Kovachki, Nikola; et el. (2020) Multipole
Graph Neural Operator for Parametric Partial Differential Equations;
10.48550/arXiv.2006.09535
- Marino, Joseph; Piché, Alexandre; et el. (2020) Iterative
Amortized Policy Optimization; 10.48550/arXiv.2010.10670
- Li, Zongyi; Kovachki, Nikola; et el. (2020) Fourier
Neural Operator for Parametric Partial Differential Equations; 10.48550/arXiv.2010.08895
- Shi, Guanya; Hönig, Wolfgang; et el. (2020) Neural-Swarm:
Decentralized Close-Proximity Multirotor Control Using Learned
Interactions; ISBN 978-1-7281-7395-5; 2020 IEEE International
Conference on Robotics and Automation (ICRA); IEEE: Piscataway, NJ;
3241-3247; 10.1109/ICRA40945.2020.9196800
- Rivière, Benjamin; Hönig, Wolfgang; et el. (2020) GLAS:
Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning
with End-to-End Learning; IEEE Robotics and Automation Letters; Vol.
5; No. 3; 4249-4256; 10.1109/lra.2020.2994035
- Song, Jialin; Lanka, Ravi; et el. (2020) A
General Large Neighborhood Search Framework for Solving Integer
Programs; 10.48550/arXiv.2004.00422
- Schäfer, Florian and Anandkumar, Anima (2019) Competitive
Gradient Descent; 10.48550/arXiv.1905.12103
- Tsukamoto, Hiroyasu and Chung, Soon-Jo (2019) Convex
Optimization-based Controller Design for Stochastic Nonlinear Systems
using Contraction Analysis; 10.1109/CDC40024.2019.9028942
- Savas, Yagiz; Ahmadi, Mohamadreza; et el. (2019) Entropy-Regularized
Stochastic Games; ISBN 9781728113982; 2019 IEEE 58th Conference on
Decision and Control (CDC); IEEE: Piscataway, NJ; 5955-5962; 10.1109/cdc40024.2019.9029555
- Nakka, Yashwanth Kumar and Chung, Soon-Jo (2019) Trajectory
Optimization for Chance-Constrained Nonlinear Stochastic Systems;
ISBN 978-1-7281-1398-2; 2019 IEEE Conference on Decision and Control
(CDC); IEEE: Piscataway, NJ; 3811-3818; 10.1109/CDC40024.2019.9028893
- O’Connell, Michael; Shi, Guanya; et el. (2019) Meta-Learning-Based
Robust Adaptive Flight Control Under Uncertain Wind Conditions; 10.48550/arXiv.2103.01932
- Ge, Jin I.; Schürmann, Bastian; et el. (2019) Risk-aware
motion planning for automated vehicle among human-driven cars; ISBN
978-1-5386-7926-5; 2019 American Control Conference (ACC); IEEE:
Piscataway, NJ; 3987-3993
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Estimation Framework with Semantic Measurements; ISBN
978-1-5386-7926-5; 2019 American Control Conference (ACC); IEEE:
Piscataway, NJ; 3809-3816; 10.23919/ACC.2019.8814793
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Lander: Stable Drone Landing Control using Learned Dynamics; ISBN
978-1-5386-6027-0; 2019 International Conference on Robotics and
Automation (ICRA); IEEE: Piscataway, NJ; 9784-9790; 10.1109/ICRA.2019.8794351
- Azizzadenesheli, Kamyar; Liu, Anqi; et el. (2019) Regularized
Learning for Domain Adaptation under Label Shifts; 10.48550/arXiv.1903.09734
- Dathathri, Sumanth; Gao, Sicun; et el. (2019) Inverse
Abstraction of Neural Networks Using Symbolic Interpolation; ISBN
978-1-57735-809-1; Proceedings of the Thirty-Third AAAI Conference on
Artificial Intelligence; Association for the Advancement of Artificial
Intelligence (AAAI); 3437-3444; 10.1609/aaai.v33i01.33013437
- Kim, Kyunam; Rahili, Salar; et el. (2019) Controllability
and Design of Unmanned Multirotor Aircraft Robust to Rotor Failure;
ISBN 978-1-62410-578-4; AIAA Scitech 2019 Forum; 1-13; 10.2514/6.2019-1787