MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts | Paper Citation Record

Observation 38605bb0-ab77-46d8-8a27-80ee967a9f57 · outbound

This paper cites Model-Based Control Using Koopman Operators.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Model-Based Control Using Koopman Operators

Reference 1

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Observation c896965a-b39f-4966-bf48-cf371141e726 · outbound

This paper cites Structure learning in action.Be- havioural brain research, 206(2):157–165, 2010.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Structure learning in action.Be- havioural brain research, 206(2):157–165, 2010

Reference 2

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Observation de24e32d-b890-4df8-93bc-6aae92f18b78 · outbound

This paper cites Data-driven control of soft robots using koopman operator theory.IEEE Transactions on Robotics, 37(3):948– 961, 2020.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Data-driven control of soft robots using koopman operator theory.IEEE Transactions on Robotics, 37(3):948– 961, 2020

Reference 3

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Observation cc194895-12e9-4c59-a974-51ea971f671e · outbound

This paper cites KOROL: Learning Visualizable Object Feature with Koopman Operator Rollout for Manipulation.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts KOROL: Learning Visualizable Object Feature with Koopman Operator Rollout for Manipulation

Reference 4

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Observation fe98adf5-cb60-443c-be1d-da9e20d5d1e2 · outbound

This paper cites Neural ordinary differential equations.Advances in neural information processing systems, 31, 2018.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Neural ordinary differential equations.Advances in neural information processing systems, 31, 2018

Reference 5

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Observation 12a826ef-7971-4b29-b615-c363700fabd5 · outbound

This paper cites Model predictive control of a vehicle using koopman operator.IFAC-PapersOnLine, 53(2):4228–4233, 2020.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Model predictive control of a vehicle using koopman operator.IFAC-PapersOnLine, 53(2):4228–4233, 2020

Reference 6

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Observation 90efc1fb-6177-402b-bf22-ee3a6dc28a16 · outbound

This paper cites Model-based reinforcement learning via meta-policy optimization.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Model-based reinforcement learning via meta-policy optimization

Reference 7

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Observation 9c09c1d7-5bfd-4783-90c9-bd3294603fd6 · outbound

This paper cites Offline meta reinforcement learning– identifiability challenges and effective data collection strategies.Advances in Neural Information Processing Systems, 34:4607–4618, 2021.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Offline meta reinforcement learning– identifiability challenges and effective data collection strategies.Advances in Neural Information Processing Systems, 34:4607–4618, 2021

Reference 8

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Observation 1384ee11-6533-4e80-aac2-4d4270b36e18 · outbound

This paper cites RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning

Reference 9

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Observation e1d7aa60-df01-4f97-90ca-79ec6abf618e · outbound

This paper cites Model-agnostic meta-learning for fast adap- tation of deep networks.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Model-agnostic meta-learning for fast adap- tation of deep networks

Reference 10

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Observation 7c4a858f-49ec-4162-bdf0-e177b35ef8b9 · outbound

This paper cites Probabilistic model-agnostic meta-learning.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Probabilistic model-agnostic meta-learning

Reference 11

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Observation e436f7e2-697f-4115-9ad0-72fcb20f198e · outbound

This paper cites A disentangled recognition and nonlinear dynamics model for unsupervised learning.Advances in neural information processing systems, 30, 2017.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts A disentangled recognition and nonlinear dynamics model for unsupervised learning.Advances in neural information processing systems, 30, 2017

Reference 12

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Observation 8e375a0e-809f-48b5-91cf-d69604d2b240 · outbound

This paper cites Desko: Stability-assured robust control with a deep stochastic koopman operator.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Desko: Stability-assured robust control with a deep stochastic koopman operator

Reference 13

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Observation 534a1021-f00c-40d0-a4c6-bae031df62aa · outbound

This paper cites Deep koopman learning of nonlinear time-varying systems.arXiv preprint arXiv:2210.06272, 2022.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Deep koopman learning of nonlinear time-varying systems.arXiv preprint arXiv:2210.06272, 2022

Reference 14

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Observation e7962d44-9415-4a1e-bf20-1290c82e1c98 · outbound

This paper cites Auto-Encoding Variational Bayes.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Auto-Encoding Variational Bayes

Reference 15

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Observation 04fd8014-1578-4b66-a275-36185f439f51 · outbound

This paper cites Hamiltonian systems and transformation in hilbert space.Proceedings of the National Academy of Sciences, 17(5):315–318, 1931.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Hamiltonian systems and transformation in hilbert space.Proceedings of the National Academy of Sciences, 17(5):315–318, 1931

Reference 16

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Observation 64ac0fcb-d1c6-4fbd-b8bb-d72822fdc7a2 · outbound

This paper cites Linear predictors for nonlinear dynamical systems: Koopman operator meets model predictive control.Automatica, 93:149–160, 2018.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Linear predictors for nonlinear dynamical systems: Koopman operator meets model predictive control.Automatica, 93:149–160, 2018

Reference 17

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Observation 19123d7b-5288-48ff-bfc1-40b27a2c75fc · outbound

This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles.Advances in neural information processing systems, 30, 2017.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Simple and scalable predictive uncertainty estimation using deep ensembles.Advances in neural information processing systems, 30, 2017

Reference 18

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Observation bf9f44a3-2208-47b6-bb5f-81f2f6041603 · outbound

This paper cites an unresolved cited work.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Unresolved cited work

Reference 19

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Observation 4ff6ba61-9f09-418d-b13e-81451100b91e · outbound

This paper cites Deep learning for universal linear embeddings of nonlinear dynamics.Nature communications, 9(1):4950, 2018.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Deep learning for universal linear embeddings of nonlinear dynamics.Nature communications, 9(1):4950, 2018

Reference 20

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Observation 5dfcdd31-a9ba-41a9-b89e-c1bc6b29d079 · outbound

This paper cites Derivative-based koopman operators for real-time control of robotic systems.IEEE Transactions on Robotics, 37(6):2173–2192, 2021.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Derivative-based koopman operators for real-time control of robotic systems.IEEE Transactions on Robotics, 37(6):2173–2192, 2021

Reference 21

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Observation 6b094b94-87db-4992-8167-501c28efe118 · outbound

This paper cites Koopman- lqr controller for quadrotor uavs from data.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Koopman- lqr controller for quadrotor uavs from data

Reference 22

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Observation 1a9ba004-d830-4922-b822-96a850ae9ce3 · outbound

This paper cites MIT press, 2023.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts MIT press, 2023

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Observation 2b3de482-e361-4ab6-bae5-20bee45cef55 · outbound

This paper cites Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning

Reference 24

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Observation 57164250-304a-40e9-94a1-25d91473fa6d · outbound

This paper cites On First-Order Meta-Learning Algorithms.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts On First-Order Meta-Learning Algorithms

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Observation d0e92495-dc94-4f78-9bbd-ab1fed583a68 · outbound

This paper cites Linearly recurrent autoencoder networks for learning dynamics.SIAM Journal on Applied Dynamical Systems, 18(1):558–593, 2019.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Linearly recurrent autoencoder networks for learning dynamics.SIAM Journal on Applied Dynamical Systems, 18(1):558–593, 2019

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Observation 1c8f4dd7-408b-41b6-99eb-5e24af5bc92e · outbound

This paper cites Dynamic mode decomposition with control.SIAM Journal on Applied Dynamical Systems, 15(1):142–161, 2016.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Dynamic mode decomposition with control.SIAM Journal on Applied Dynamical Systems, 15(1):142–161, 2016

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Observation 585478c5-8fbd-4468-b8f6-c3b56d67678b · outbound

This paper cites Efficient off-policy meta-reinforcement learning via probabilistic context variables.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Efficient off-policy meta-reinforcement learning via probabilistic context variables

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Observation beb53e24-6b23-4368-a56d-6049c5eab9b9 · outbound

This paper cites Meta-Learning with Latent Embedding Optimization.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Meta-Learning with Latent Embedding Optimization

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Observation da2cb340-2186-4282-9ed3-4ca0629416ef · outbound

This paper cites Meta Reinforcement Learning with Latent Variable Gaussian Processes.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Meta Reinforcement Learning with Latent Variable Gaussian Processes

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Observation bd19e4e3-852d-4b5e-ae58-329f9489eba7 · outbound

This paper cites Dynamic mode decomposition of numerical and experimental data.Journal of fluid mechanics, 656:5–28, 2010.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Dynamic mode decomposition of numerical and experimental data.Journal of fluid mechanics, 656:5–28, 2010

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Observation cb8e77b1-1a41-46f3-8107-7396231eb714 · outbound

This paper cites Applications of the dynamic mode decomposition.Theoretical and computational fluid dynamics, 25:249–259, 2011.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Applications of the dynamic mode decomposition.Theoretical and computational fluid dynamics, 25:249–259, 2011

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Observation e173e505-b67f-430f-b2d5-f65efc3fd112 · outbound

This paper cites Deep koopman operator with control for nonlinear systems.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Deep koopman operator with control for nonlinear systems

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Observation d13860ce-f2aa-4ce7-ae05-ed9377244438 · outbound

This paper cites Koopman Operators in Robot Learning.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Koopman Operators in Robot Learning

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Observation b43dc9a0-609a-4e1f-8e2a-850892dc7f24 · outbound

This paper cites Adaptive koopman embedding for robust control of complex nonlinear dynamical systems.arXiv preprint arXiv:2405.09101, 2024.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Adaptive koopman embedding for robust control of complex nonlinear dynamical systems.arXiv preprint arXiv:2405.09101, 2024

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Observation e2548650-b37c-4ded-9114-15c7c131ca2f · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063, 2024.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063, 2024

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Observation 41952882-07be-43ce-a5b3-39ac0574b324 · outbound

This paper cites Learning koopman invariant sub- spaces for dynamic mode decomposition.Advances in neural information processing systems, 30, 2017.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Learning koopman invariant sub- spaces for dynamic mode decomposition.Advances in neural information processing systems, 30, 2017

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Observation 5d1cb3ce-c12f-4c5a-9290-34ca0306f396 · outbound

This paper cites Detecting strange attractors in turbulence.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Detecting strange attractors in turbulence

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Observation 212121b3-8bec-4aa6-853e-d495e1891134 · outbound

This paper cites Mujoco: A physics engine for model-based control.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Mujoco: A physics engine for model-based control

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Observation d575db15-f213-4eb8-90a9-ec0add7f9607 · outbound

This paper cites Deep koopman data-driven control framework for autonomous racing.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Deep koopman data-driven control framework for autonomous racing

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Observation a2717d2e-2db9-414a-b730-322d4f34c2b1 · outbound

This paper cites Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts

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Observation eefaf9dc-5eeb-4e34-b120-8a3220b1543f · outbound

This paper cites A data–driven approxima- tion of the koopman operator: Extending dynamic mode decomposition.Journal of Nonlinear Science, 25:1307–1346, 2015.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts A data–driven approxima- tion of the koopman operator: Extending dynamic mode decomposition.Journal of Nonlinear Science, 25:1307–1346, 2015

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Resolution: unresolved; no resolver link, observed 2026-08-01T00:11:35.176018Z

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Observation 24baea49-0cb2-4796-ac98-9d05eedad055 · outbound

This paper cites Learning deep neural network representations for koopman operators of nonlinear dynamical systems.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Learning deep neural network representations for koopman operators of nonlinear dynamical systems

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Observation 353582cd-7582-4ea1-bbde-080039c1755c · outbound

This paper cites Ode2vae: Deep generative second order odes with bayesian neural networks.Advances in Neural Information Processing Systems, 32, 2019.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Ode2vae: Deep generative second order odes with bayesian neural networks.Advances in Neural Information Processing Systems, 32, 2019

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Observation 4f53f6cd-7f7d-4298-98b8-7cccdaa979ca · outbound

This paper cites Bayesian model-agnostic meta-learning.Advances in neural information processing systems, 31, 2018.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Bayesian model-agnostic meta-learning.Advances in neural information processing systems, 31, 2018

Reference 45

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Observation 65cebe0b-6f7d-46b3-b0dc-b3cbaea4ea24 · outbound

This paper cites Limitations.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Limitations

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Observation 3ec4a204-2d3e-432a-a723-c436d10a68c7 · outbound

This paper cites V| η 2 exp −1 2 tr Σ−1 (˜xt+1 − K˜zt)(˜xt+1 − K˜zt)⊤ + K −“M “V −1 K −“M ⊤ = Z 1 (2π) η+ηk 2 |Σ| 1+k 2 | “V| η 2 exp.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts V| η 2 exp −1 2 tr Σ−1 (˜xt+1 − K˜zt)(˜xt+1 − K˜zt)⊤ + K −“M “V −1 K −“M ⊤ = Z 1 (2π) η+ηk 2 |Σ| 1+k 2 | “V| η 2 exp

Reference 47

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