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Author Organization: Max Planck Institute for Intelligent Systems Publication Year: 2023

1 to 10 of 19 Results

Supplementary data for Corr2Cause: "Can Large Language Models Infer Causation from Correlation?" Jan 10, 2024 Jin, Zhijing, 2023, "Supplementary data for Corr2Cause: "Can Large Language Models Infer Causation from Correlation?"", https://doi.org/10.17617/3.VYGWHY, Edmond, V3 Paper: "Can Large Language Models Infer Causation from Correlation?" (2023) by Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona Diab, Bernhard Schölkopf. (http://arxiv.org/abs/2306.05836) Abstract: Causal inference is one of the hallmarks...
User Study Dataset for Understanding On-Site Construction Activities with Haptic Perception Nov 5, 2023 Gong, Yijie; Javot, Bernard; Lauer, Anja Patricia Regina; Sawodny, Oliver; Kuchenbecker, Katherine J., 2023, "User Study Dataset for Understanding On-Site Construction Activities with Haptic Perception", https://doi.org/10.17617/3.PAFGCA, Edmond, V1 We encourage viewers to select the "Tree" view, rather than "Table" view, in order to see the files organized by their respective folders. The dataset includes the following: 1. A readme file explaining our user study and the data, 2. Raw acceleration data, 3. Raw robot data, 4....
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...
Data for Upside down: an open-source motion platform for highly dynamic movement Jul 26, 2023 Man-Singh-Pradhan, Nayan; Frank, Patrick; Mo, An; Badri-Spröwitz, Alexander, 2023, "Data for Upside down: an open-source motion platform for highly dynamic movement", https://doi.org/10.17617/3.P9GM9Z, Edmond, V1 Dataset contains simulation model, control program, and CAD model of the motion platform. Publication link: https://doi.org/10.48550/arXiv.2303.17974
Training checkpoints for the TriFinger Cube Push and Lift tasks Jul 14, 2023 Gürtler, Nico, 2023, "Training checkpoints for the TriFinger Cube Push and Lift tasks", https://doi.org/10.17617/3.JA8ZW4, Edmond, V1 Training checkpoints for policies trained in Isaac Gym simulation of the TriFinger robotics platform. Checkpoints are available for two tasks: (i) Push a cube to a goal position on the ground, (ii) Lift a cube to goal position and orientation in the air. The checkpoints can be us...
Data set: A multifunctional soft robotic shape display with high-speed actuation, sensing, and control Jun 22, 2023 Johnson, Brian K.; Naris, Mantas; Sundaram, Vani; Volchko, Angie; Ly, Khoi; Mitchell, Shane K.; Acome, Eric; Kellaris, Nicholas; Keplinger, Christoph; Correll, Nikolaus; Humbert, J. Sean; Rentschler, Mark, 2023, "Data set: A multifunctional soft robotic shape display with high-speed actuation, sensing, and control", https://doi.org/10.17617/3.9S0O4Q, Edmond, V1 Dataset used to generate plots and additional data for the manuscript "A multifunctional soft robotic shape display with high-speed actuation, sensing, and control." The dataset contains several subdirectories with readme files describing the format and structure of the data for...
Data for reproducing the training of eDICE model ("Getting Personal with Epigenetics: Towards Individual-specific Epigenomic Imputation with Machine Learning") Jun 8, 2023 Visona, Giovanni, 2023, "Data for reproducing the training of eDICE model ("Getting Personal with Epigenetics: Towards Individual-specific Epigenomic Imputation with Machine Learning")", https://doi.org/10.17617/3.VKEFB6, Edmond, V3 Data repository for the files needed to reproduce the results in the paper "Getting Personal with Epigenetics: Towards Individual-specific Epigenomic Imputation with Machine Learning", Hawkins-Hooker et al.
covid_twitter_data Jun 5, 2023 Jin, Zhijing, 2023, "covid_twitter_data", https://doi.org/10.17617/3.TYNBEQ, Edmond, V1
The Pile Roberta Large Index May 26, 2023 Hardt, 2023, "The Pile Roberta Large Index", https://doi.org/10.17617/3.EJQGAK, Edmond, V1 The repository contains files for a nearest neighbor index of text embeddings for the entire Pile dataset. For more information see: https://github.com/socialfoundations/tttlm
TriFinger RL Datasets May 19, 2023 Gürtler, Nico; Blaes, Sebastian; Kolev, Pavel; Widmaier, Felix; Wuthrich, Manuel; Bauer, Stefan; Schölkopf, Bernhard; Martius, Georg, 2023, "TriFinger RL Datasets", https://doi.org/10.17617/3.DXZ7TL, Edmond, V1 Offline reinforcement learning datasets collected on real TriFinger robots and with a simulated version of the robot. Trajectories for two dexterous manipulation tasks were collected: Pushing a cube to a goal position on the ground and Lifting it to a goal position and orientatio...

Supplementary data for Corr2Cause: "Can Large Language Models Infer Causation from Correlation?"

Jan 10, 2024

Jin, Zhijing, 2023, "Supplementary data for Corr2Cause: "Can Large Language Models Infer Causation from Correlation?"", https://doi.org/10.17617/3.VYGWHY, Edmond, V3

Paper: "Can Large Language Models Infer Causation from Correlation?" (2023) by Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona Diab*, Bernhard Schölkopf*. (http://arxiv.org/abs/2306.05836) Abstract: Causal inference is one of the hallmarks...

User Study Dataset for Understanding On-Site Construction Activities with Haptic Perception

Nov 5, 2023

Gong, Yijie; Javot, Bernard; Lauer, Anja Patricia Regina; Sawodny, Oliver; Kuchenbecker, Katherine J., 2023, "User Study Dataset for Understanding On-Site Construction Activities with Haptic Perception", https://doi.org/10.17617/3.PAFGCA, Edmond, V1

We encourage viewers to select the "Tree" view, rather than "Table" view, in order to see the files organized by their respective folders. The dataset includes the following: 1. A readme file explaining our user study and the data, 2. Raw acceleration data, 3. Raw robot data, 4....

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...

Data for Upside down: an open-source motion platform for highly dynamic movement

Jul 26, 2023

Man-Singh-Pradhan, Nayan; Frank, Patrick; Mo, An; Badri-Spröwitz, Alexander, 2023, "Data for Upside down: an open-source motion platform for highly dynamic movement", https://doi.org/10.17617/3.P9GM9Z, Edmond, V1

Dataset contains simulation model, control program, and CAD model of the motion platform. Publication link: https://doi.org/10.48550/arXiv.2303.17974

Training checkpoints for the TriFinger Cube Push and Lift tasks

Jul 14, 2023

Gürtler, Nico, 2023, "Training checkpoints for the TriFinger Cube Push and Lift tasks", https://doi.org/10.17617/3.JA8ZW4, Edmond, V1

Training checkpoints for policies trained in Isaac Gym simulation of the TriFinger robotics platform. Checkpoints are available for two tasks: (i) Push a cube to a goal position on the ground, (ii) Lift a cube to goal position and orientation in the air. The checkpoints can be us...

Data set: A multifunctional soft robotic shape display with high-speed actuation, sensing, and control

Jun 22, 2023

Johnson, Brian K.; Naris, Mantas; Sundaram, Vani; Volchko, Angie; Ly, Khoi; Mitchell, Shane K.; Acome, Eric; Kellaris, Nicholas; Keplinger, Christoph; Correll, Nikolaus; Humbert, J. Sean; Rentschler, Mark, 2023, "Data set: A multifunctional soft robotic shape display with high-speed actuation, sensing, and control", https://doi.org/10.17617/3.9S0O4Q, Edmond, V1

Dataset used to generate plots and additional data for the manuscript "A multifunctional soft robotic shape display with high-speed actuation, sensing, and control." The dataset contains several subdirectories with readme files describing the format and structure of the data for...

Data for reproducing the training of eDICE model ("Getting Personal with Epigenetics: Towards Individual-specific Epigenomic Imputation with Machine Learning")

Jun 8, 2023

Visona, Giovanni, 2023, "Data for reproducing the training of eDICE model ("Getting Personal with Epigenetics: Towards Individual-specific Epigenomic Imputation with Machine Learning")", https://doi.org/10.17617/3.VKEFB6, Edmond, V3

Data repository for the files needed to reproduce the results in the paper "Getting Personal with Epigenetics: Towards Individual-specific Epigenomic Imputation with Machine Learning", Hawkins-Hooker et al.

covid_twitter_data

Jun 5, 2023

Jin, Zhijing, 2023, "covid_twitter_data", https://doi.org/10.17617/3.TYNBEQ, Edmond, V1

The Pile Roberta Large Index

May 26, 2023

Hardt, 2023, "The Pile Roberta Large Index", https://doi.org/10.17617/3.EJQGAK, Edmond, V1

The repository contains files for a nearest neighbor index of text embeddings for the entire Pile dataset. For more information see: https://github.com/socialfoundations/tttlm

TriFinger RL Datasets

May 19, 2023

Gürtler, Nico; Blaes, Sebastian; Kolev, Pavel; Widmaier, Felix; Wuthrich, Manuel; Bauer, Stefan; Schölkopf, Bernhard; Martius, Georg, 2023, "TriFinger RL Datasets", https://doi.org/10.17617/3.DXZ7TL, Edmond, V1

Offline reinforcement learning datasets collected on real TriFinger robots and with a simulated version of the robot. Trajectories for two dexterous manipulation tasks were collected: Pushing a cube to a goal position on the ground and Lifting it to a goal position and orientatio...

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