Patricia Wollstadt
Orcid: 0000-0002-7105-5207Affiliations:
- Goethe University Frankfurt, Frankfurt am Main, Germany
According to our database1,
Patricia Wollstadt
authored at least 35 papers
between 2012 and 2023.
Collaborative distances:
Collaborative distances:
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on orcid.org
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on github.com
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Bibliography
2023
Information-theoretic analyses of neural data to minimize the effect of researchers' assumptions in predictive coding studies.
PLoS Comput. Biol., November, 2023
Information theoretic evidence for layer- and frequency-specific changes in cortical information processing under anesthesia.
PLoS Comput. Biol., January, 2023
A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition.
J. Mach. Learn. Res., 2023
Partial Information Decomposition for Continuous Variables based on Shared Exclusions: Analytical Formulation and Estimation.
CoRR, 2023
Proceedings of the HHAI 2023: Augmenting Human Intellect, 2023
Who's in Charge of Charging? Investigating Human-Machine-Cooperation in Smart Charging of Electric Vehicles.
Proceedings of the HCI in Mobility, Transport, and Automotive Systems, 2023
Enhancing Trust in Smart Charging Agents - The Role of Traceability for Human-Agent-Cooperation.
Proceedings of the HCI International 2023 - Late Breaking Papers, 2023
2022
CarHoods10k: An Industry-Grade Data Set for Representation Learning and Design Optimization in Engineering Applications.
IEEE Trans. Evol. Comput., 2022
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
Proceedings of the HHAI 2022: Augmenting Human Intellect, 2022
2021
Entropy, 2021
CoRR, 2021
Interaction-Aware Sensitivity Analysis for Aerodynamic Optimization Results using Information Theory.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Quantifying The Generative Capabilities Of Variational Autoencoders For 3D Car Point Clouds.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Back To Meshes: Optimal Simulation-ready Mesh Prototypes For Autoencoder-based 3D Car Point Clouds.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
The Effects Of Non-linear Operators In Voxel-Based Deep Neural Networks For 3D Style Reconstruction.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
2019
IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks.
J. Open Source Softw., 2019
Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing.
CoRR, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019
2018
Measuring information processing in neural data: The application of transfer entropy in neuroscience.
PhD thesis, 2018
2017
Breakdown of local information processing may underlie isoflurane anesthesia effects.
PLoS Comput. Biol., 2017
Quantifying Information Modification in Developing Neural Networks via Partial Information Decomposition.
Entropy, 2017
2015
CoRR, 2015
Anesthesia-related changes in information transfer may be caused by reduction in local information generation.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Frontiers Neuroinformatics, 2014
2012
Revisiting Wiener's principle of causality - interaction-delay reconstruction using transfer entropy and multivariate analysis on delay-weighted graphs.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012