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Publications
2024
- Lee, Connor;Anderson, Matthew et al. (2024) Caltech Aerial RGB-Thermal Dataset in the Wild
- Hamzi, Boumediene;Hutter, Marcus et al. (2024) Bridging Algorithmic Information Theory and Machine Learning: A new approach to kernel learning
- Hamzi, Boumediene;Dingle, Kamaludin (2024) Simplicity bias, algorithmic probability, and the random logistic map
- O'Connell, Michael;Cho, Joshua et al. (2024) Learning-Based Minimally-Sensed Fault-Tolerant Adaptive Flight Control
- Chen, Timothy;Culbertson, Preston et al. (2024) CATNIPS: Collision Avoidance Through Neural Implicit Probabilistic Scenes
- Bach, Eviatar;Colonius, Tim et al. (2024) Filtering dynamical systems using observations of statistics
- Luo, Zelun;Zou, Yuliang et al. (2024) Differentially Private Video Activity RecognitionIn: 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
- Deevi, Sri Aditya;Lee, Connor et al. (2024) RGB-X Object Detection via Scene-Specific Fusion ModulesIn: 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
2023
- Ong, Pio;Ames, Aaron D. (2023) Intermittent Safety Filters for Event-Triggered Safety Maneuvers with Application to Satellite Orbit TransfersIn: 2023 62nd IEEE Conference on Decision and Control (CDC)
- Dabiri, John O.;Howland, Michael F. et al. (2023) Visual anemometry for physics-informed inference of wind
- Sihite, Eric;Kalantari, Arash et al. (2023) Publisher Correction: Multi-Modal Mobility Morphobot (M4) with appendage repurposing for locomotion plasticity enhancement
- Sihite, Eric;Kalantari, Arash et al. (2023) Multi-Modal Mobility Morphobot (M4) with appendage repurposing for locomotion plasticity enhancement
- Tang, Ellande;Chung, Soon-Jo (2023) Experiments and Modeling of the Ceiling Effect with Drone-Scale Propellers
- Dorobantu, Victor D.;Azizzadenesheli, Kamyar et al. (2023) Compactly Restrictable Metric Policy Optimization Problems
- Veismann, Marcel;Raffel, Jan et al. (2023) Study of Rotor-Jetpack-Wind Aerodynamic Interaction for Mid-Air Helicopter Delivery on MarsIn: 2023 IEEE Aerospace Conference
- Darcy, Matthieu;Hamzi, Boumediene et al. (2023) One-shot learning of stochastic differential equations with data adapted kernels
- Renn, Peter I;Wang, Cong et al. (2023) Forecasting subcritical cylinder wakes with Fourier Neural Operators
2022
- Akella, Prithvi;Wei, Skylar X. et al. (2022) Learning Disturbances Online for Risk-Aware Control: Risk-Aware Flight with Less Than One Minute of Data
- Badithela, Apurva;Graebener, Josefine B. et al. (2022) Synthesizing Reactive Test Environments for Autonomous Systems: Testing Reach-Avoid Specifications with Multi-Commodity Flows
- Csomay-Shanklin, Noel;Dorobantu, Victor D. et al. (2022) Nonlinear Model Predictive Control of a 3D Hopping Robot: Leveraging Lie Group Integrators for Dynamically Stable Behaviors
- Dorobantu, Victor D.;Azizzadenesheli, Kamyar et al. (2022) Compactly Restrictable Metric Policy Optimization Problems
- Hamze Bajgiran, Hamed;Echenique, Federico (2022) Closure Operators: Complexity and Applications to Classification and Decision-makingIn: Proceedings of the 23rd ACM Conference on Economics and Computation
- Nakka, Yashwanth Kumar K.;Hönig, Wolfgang et al. (2022) Information-Based Guidance and Control Architecture for Multi-Spacecraft On-Orbit Inspection
- Chen, Xin;Qu, Guannan et al. (2022) Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges
- Singletary, Andrew;Ahmadi, Mohamadreza et al. (2022) Safe Control for Nonlinear Systems With Stochastic Uncertainty via Risk Control Barrier Functions
- O'Connell, Michael;Shi, Guanya et al. (2022) Neural-Fly enables rapid learning for agile flight in strong winds
- Wen, Gege;Li, Zongyi et al. (2022) U-FNO—An enhanced Fourier neural operator-based deep-learning model for multiphase flow
- Ong, Pio;Bahati, Gilbert et al. (2022) Stability and Safety through Event-Triggered Intermittent Control with Application to Spacecraft Orbit Stabilization
- Taylor, Andrew J.;Ong, Pio et al. (2022) Safe Backstepping with Control Barrier Functions
- Daftry, Shreyansh;Abcouwer, Neil et al. (2022) MLNav: Learning to Safely Navigate on Martian Terrains
- Shi, Guanya;Hönig, Wolfgang et al. (2022) Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms Using Learned Interactions
- Veismann, Marcel;Yos, Daniel et al. (2022) Parametric study of small-scale rotors in axial descent
- Rivière, Benjamin;Chung, Soon-Jo (2022) H-TD²: Hybrid Temporal Difference Learning for Adaptive Urban Taxi Dispatch
- Wei, Nathaniel J.;Dabiri, John O. (2022) Phase-averaged dynamics of a periodically surging wind turbine
- Taylor, Andrew J.;Dorobantu, Victor D. et al. (2022) Sampled-Data Stabilization with Control Lyapunov Functions via Quadratically Constrained Quadratic Programs
2021
- Hamze Bajgiran, Hamed;Owhadi, Houman (2021) Aggregation of Pareto optimal models
- Folkestad, Carl;Chen, Yuxiao et al. (2021) Data-Driven Safety-Critical Control: Synthesizing Control Barrier Functions With Koopman Operators
- Gao, Angela F.;Castellanos, Jorge C. et al. (2021) DeepGEM: Generalized Expectation-Maximization for Blind InversionIn: 35th Conference on Neural Information Processing Systems
- Shi, Guanya;Azizzadenesheli, Kamyar et al. (2021) Meta-Adaptive Nonlinear Control: Theory and Algorithms
- Hamze Bajgiran, Hamed;Owhadi, Houman (2021) Aggregation of Models, Choices, Beliefs, and Preferences
- Yoo, Gene Ryan;Owhadi, Houman (2021) Deep regularization and direct training of the inner layers of Neural Networks with Kernel Flows
- Ahmadi, Mohamadreza;Jansen, Nils et al. (2021) Control Theory Meets POMDPs: A Hybrid Systems Approach
- Tsukamoto, Hiroyasu;Chung, Soon-Jo et al. (2021) Neural Stochastic Contraction Metrics for Learning-based Control and Estimation
- Kim, Kyunam;Spieler, Patrick et al. (2021) A bipedal walking robot that can fly, slackline, and skateboard
- Rivière, Benjamin;Hoenig, Wolfgang et al. (2021) Neural Tree Expansion for Multi-Robot Planning in Non-Cooperative Environments
- Tsukamoto, Hiroyasu;Chung, Soon-Jo (2021) Robust Controller Design for Stochastic Nonlinear Systems via Convex Optimization
- Wen, Gege;Li, Zongyi et al. (2021) U-FNO -- An enhanced Fourier neural operator-based deep-learning model for multiphase flow
- Hamze Bajgiran, Hamed;Batlle Franch, Pau et al. (2021) Uncertainty Quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball
- Kovachki, Nikola;Li, Zongyi et al. (2021) Neural Operator: Learning Maps Between Function Spaces
- Phan-Minh, Tung;Murray, Richard M. (2021) Contracts of ReactivityIn: 2021 European Control Conference (ECC)
- Matsuka, Kai;Feldman, Aaron O. et al. (2021) Decentralized formation pose estimation for spacecraft swarms
- Lale, Sahin;Azizzadenesheli, Kamyar et al. (2021) Adaptive Control and Regret Minimization in Linear Quadratic Gaussian (LQG) SettingIn: 2021 American Control Conference (ACC)
- Burdick, Joel W.;Bouman, Amanda et al. (2021) From Multi-Target Sensory Coverage to Complete Sensory Coverage: An Optimization-Based Robotic Sensory Coverage ApproachIn: 2021 IEEE International Conference on Robotics and Automation (ICRA)
- Tsukamoto, Hiroyasu;Chung, Soon-Jo et al. (2021) Neural Stochastic Contraction Metrics for Learning-based Control and EstimationIn: 2021 American Control Conference (ACC)
- Zhao, Eric;Liu, Anqi et al. (2021) Active Learning under Label Shift
- Nakka, Yashwanth Kumar;Liu, Anqi et al. (2021) Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems
- Voloshin, Cameron;Jiang, Nan et al. (2021) Minimax Model Learning
- Tavallali, Peyman;Hamze Bajgiran, Hamed et al. (2021) Decision Theoretic Bootstrapping
- Khojasteh, Mohammad Javad;Hedayatpour, Mojtaba et al. (2021) Exploiting Timing Information in Event-Triggered Stabilization of Linear Systems With Disturbances
- Maser, Michael R.;Cui, Alexander Y. et al. (2021) Multilabel Classification Models for the Prediction of Cross-Coupling Reaction Conditions
- Tsukamoto, Hiroyasu;Chung, Soon-Jo (2021) Neural Contraction Metrics for Robust Estimation and Control: A Convex Optimization Approach
2020
- Song, Jialin;Lanka, Ravi et al. (2020) A General Large Neighborhood Search Framework for Solving Integer ProgramsIn: 34th Conference on Neural Information Processing Systems (NeurIPS 2020)
- Marino, Joseph;Piché, Alexandre et al. (2020) Iterative Amortized Policy OptimizationIn: 34th Conference on Neural Information Processing Systems (NeurIPS 2020)
- Li, Zongyi;Kovachki, Nikola et al. (2020) Multipole Graph Neural Operator for Parametric Partial Differential Equations
- Cardona, Jennifer L.;Bouman, Katherine L. et al. (2020) Wind speed inference from environmental flow-structure interactions
- Marino, Joseph;Piché, Alexandre et al. (2020) Iterative Amortized Policy Optimization
- Li, Zongyi;Kovachki, Nikola et al. (2020) Fourier Neural Operator for Parametric Partial Differential Equations
- Shi, Guanya;Hönig, Wolfgang et al. (2020) Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned InteractionsIn: 2020 IEEE International Conference on Robotics and Automation (ICRA)
- Rivière, Benjamin;Hönig, Wolfgang et al. (2020) GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning with End-to-End Learning
- Song, Jialin;Lanka, Ravi et al. (2020) A General Large Neighborhood Search Framework for Solving Integer Programs
2019
- Schäfer, Florian;Anandkumar, Anima (2019) Competitive Gradient Descent
- Tsukamoto, Hiroyasu;Chung, Soon-Jo (2019) Convex Optimization-based Controller Design for Stochastic Nonlinear Systems using Contraction Analysis
- Savas, Yagiz;Ahmadi, Mohamadreza et al. (2019) Entropy-Regularized Stochastic GamesIn: 2019 IEEE 58th Conference on Decision and Control (CDC)
- Nakka, Yashwanth Kumar;Chung, Soon-Jo (2019) Trajectory Optimization for Chance-Constrained Nonlinear Stochastic SystemsIn: 2019 IEEE Conference on Decision and Control (CDC)
- O'Connell, Michael;Shi, Guanya et al. (2019) Meta-Learning-Based Robust Adaptive Flight Control Under Uncertain Wind Conditions
- Ge, Jin I.;Schürmann, Bastian et al. (2019) Risk-aware motion planning for automated vehicle among human-driven carsIn: 2019 American Control Conference (ACC)
- Cai, Karena X.;Harvard, Alexei et al. (2019) Robust Estimation Framework with Semantic MeasurementsIn: 2019 American Control Conference (ACC)
- Shi, Guanya;Shi, Xichen et al. (2019) Neural Lander: Stable Drone Landing Control using Learned DynamicsIn: 2019 International Conference on Robotics and Automation (ICRA)
- Azizzadenesheli, Kamyar;Liu, Anqi et al. (2019) Regularized Learning for Domain Adaptation under Label Shifts
- Dathathri, Sumanth;Gao, Sicun et al. (2019) Inverse Abstraction of Neural Networks Using Symbolic InterpolationIn: Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence
- Kim, Kyunam;Rahili, Salar et al. (2019) Controllability and Design of Unmanned Multirotor Aircraft Robust to Rotor FailureIn: AIAA Scitech 2019 Forum