(““)
- Hamzi, Boumediene; Hutter, Marcus; et el. (2024) Bridging
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
- Hamzi, Boumediene and Dingle, Kamaludin (2024) Simplicity
bias, algorithmic probability, and the random logistic map; Physica
D: Nonlinear Phenomena; Vol. 463; 134160; 10.1016/j.physd.2024.134160
- O’Connell, Michael; Cho, Joshua; et el. (2024) Learning-Based
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
- 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
- Dabiri, John O.; Howland, Michael F.; et el. (2023) Visual
anemometry for physics-informed inference of wind; Nature Reviews
Physics; 10.1038/s42254-023-00626-8
- Sihite, Eric; Kalantari, Arash; et el. (2023) Publisher
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
- Sihite, Eric; Kalantari, Arash; et el. (2023) Multi-Modal
Mobility Morphobot (M4) with appendage repurposing for locomotion
plasticity enhancement; Nature Communications; Vol. 14; Art.
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
- Darcy, Matthieu; Hamzi, Boumediene; et el. (2023) One-shot
learning of stochastic differential equations with data adapted
kernels; Physica D; Vol. 444; Art. No. 133583; 10.1016/j.physd.2022.133583
- Nakka, Yashwanth Kumar K.; Hönig, Wolfgang; et el. (2022) Information-Based
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
- 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
- Wen, Gege; Li, Zongyi; et el. (2022) U-FNO—An
enhanced Fourier neural operator-based deep-learning model for
multiphase flow; Advances in Water Resources; Vol. 163; Art.
No. 104180; 10.1016/j.advwatres.2022.104180
- 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
- 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
- Veismann, Marcel; Yos, Daniel; et el. (2022) Parametric
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
- Taylor, Andrew J.; Dorobantu, Victor D.; et el. (2022) Sampled-Data
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
- 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
- Ahmadi, Mohamadreza; Jansen, Nils; et el. (2021) Control
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
- Kim, Kyunam; Spieler, Patrick; et el. (2021) A
bipedal walking robot that can fly, slackline, and skateboard;
Science Robotics; Vol. 6; No. 59; Art. No. eabf8136; 10.1126/scirobotics.abf8136
- Rivière, Benjamin; Hoenig, Wolfgang; et el. (2021) Neural
Tree Expansion for Multi-Robot Planning in Non-Cooperative
Environments; IEEE Robotics and Automation Letters; Vol. 6; No. 4;
6868-6875; 10.1109/LRA.2021.3096758
- Tsukamoto, Hiroyasu and Chung, Soon-Jo (2021) Robust
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
- 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
- Voloshin, Cameron; Jiang, Nan; et el. (2021) Minimax
Model Learning; Proceedings of Machine Learning Research; Vol. 130;
1612-1620; 10.48550/arXiv.2103.02084
- 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
- 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
- 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
- Maser, Michael R.; Cui, Alexander Y.; et el. (2021) Multilabel
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
- Tsukamoto, Hiroyasu and Chung, Soon-Jo (2021) Neural
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
- 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