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Author Organization: Max Planck Institute for Intelligent Systems Author Organization: ETH Zurich

1 to 3 of 3 Results

Datasets and experimental results for "Parameterizing pressure-temperature profiles of exoplanet atmospheres with neural networks" Sep 6, 2023 Gebhard, Timothy, 2023, "Datasets and experimental results for "Parameterizing pressure-temperature profiles of exoplanet atmospheres with neural networks"", https://doi.org/10.17617/3.K2CY3M, Edmond, V1 This dataset contains the training data and experimental results (i.e. trained models and results on the test set) for the research paper “Parameterizing pressure-temperature profiles of exoplanet atmospheres with neural networks” by T. D. Gebhard et al. which has been accepted f...
A Real-Robot Dataset for Assessing Transferability of Learned Dynamics Models Jul 27, 2022 Agudelo-España, Diego; Zadaianchuk, Andrii; Wenk, Philipp; Garg, Aditya; Akpo, Joel Bessekon; Grimminger, Felix; Viereck, Julian; Naveau, Maximilien; Righetti, Ludovic ‬; Martius, Georg; Krause, Andreas; Schölkopf, Bernhard; Bauer, Stefan; Wüthrich, Manuel, 2022, "A Real-Robot Dataset for Assessing Transferability of Learned Dynamics Models", https://doi.org/10.17617/3.ZT6K7P, Edmond, V1 In the context of model-based reinforcement learning and control, a large number of methods for learning system dynamics have been proposed in recent years. The purpose of these learned models is to synthesize new control policies. An important open question is how robust current...
Data sets for HSR4HCI Mar 22, 2022 Gebhard, Timothy D.; Bonse, Markus J.; Quanz, Sascha P.; Schölkopf, Bernhard, 2022, "Data sets for HSR4HCI", https://doi.org/10.17617/3.LACYPN, Edmond, V1 Data sets for our paper: "Half-sibling regression meets exoplanet imaging: PSF modeling and subtraction using a flexible, domain knowledge-driven, causal framework". The corresponding research code (including the code used to generate these data sets) is availabe on GitHub. All d...

Datasets and experimental results for "Parameterizing pressure-temperature profiles of exoplanet atmospheres with neural networks"

Sep 6, 2023

Gebhard, Timothy, 2023, "Datasets and experimental results for "Parameterizing pressure-temperature profiles of exoplanet atmospheres with neural networks"", https://doi.org/10.17617/3.K2CY3M, Edmond, V1

This dataset contains the training data and experimental results (i.e. trained models and results on the test set) for the research paper “Parameterizing pressure-temperature profiles of exoplanet atmospheres with neural networks” by T. D. Gebhard et al. which has been accepted f...

A Real-Robot Dataset for Assessing Transferability of Learned Dynamics Models

Jul 27, 2022

Agudelo-España, Diego; Zadaianchuk, Andrii; Wenk, Philipp; Garg, Aditya; Akpo, Joel Bessekon; Grimminger, Felix; Viereck, Julian; Naveau, Maximilien; Righetti, Ludovic ‬; Martius, Georg; Krause, Andreas; Schölkopf, Bernhard; Bauer, Stefan; Wüthrich, Manuel, 2022, "A Real-Robot Dataset for Assessing Transferability of Learned Dynamics Models", https://doi.org/10.17617/3.ZT6K7P, Edmond, V1

In the context of model-based reinforcement learning and control, a large number of methods for learning system dynamics have been proposed in recent years. The purpose of these learned models is to synthesize new control policies. An important open question is how robust current...

Data sets for HSR4HCI

Mar 22, 2022

Gebhard, Timothy D.; Bonse, Markus J.; Quanz, Sascha P.; Schölkopf, Bernhard, 2022, "Data sets for HSR4HCI", https://doi.org/10.17617/3.LACYPN, Edmond, V1

Data sets for our paper: "Half-sibling regression meets exoplanet imaging: PSF modeling and subtraction using a flexible, domain knowledge-driven, causal framework". The corresponding research code (including the code used to generate these data sets) is availabe on GitHub. All d...

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