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ORCIDPatricia Wollstadt
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- affiliation: Goethe University Frankfurt, Frankfurt am Main, Germany
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Books and Theses
- 2018
[b1]Patricia Wollstadt:
Measuring information processing in neural data: The application of transfer entropy in neuroscience. Goethe University Frankfurt, Frankfurt am Main, Germany, 2018
Journal Articles
- 2023
- [j10]Patricia Wollstadt, Sebastian Schmitt, Michael Wibral:
A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition. J. Mach. Learn. Res. 24: 131:1-131:44 (2023) - [j9]Edoardo Pinzuti
, Patricia Wollstadt, Oliver Tüscher, Michael Wibral:
Information theoretic evidence for layer- and frequency-specific changes in cortical information processing under anesthesia. PLoS Comput. Biol. 19(1) (2023) - [j8]Patricia Wollstadt, Daniel L. Rathbun, W. Martin Usrey, André Moraes Bastos, Michael Lindner, Viola Priesemann, Michael Wibral:
Information-theoretic analyses of neural data to minimize the effect of researchers' assumptions in predictive coding studies. PLoS Comput. Biol. 19(11) (2023) - 2022
- [j7]Patricia Wollstadt, Mariusz Bujny, Satchit Ramnath, Jami J. Shah, Duane Detwiler, Stefan Menzel:
CarHoods10k: An Industry-Grade Data Set for Representation Learning and Design Optimization in Engineering Applications. IEEE Trans. Evol. Comput. 26(6): 1221-1235 (2022) - 2021
- [j6]Patricia Wollstadt, Martina Hasenjäger, Christiane B. Wiebel-Herboth:
Quantifying the Predictability of Visual Scanpaths Using Active Information Storage. Entropy 23(2): 167 (2021) - 2020
- [j5]Edoardo Pinzuti, Patricia Wollstadt, Aaron J. Gutknecht, Oliver Tüscher, Michael Wibral:
Measuring spectrally-resolved information transfer. PLoS Comput. Biol. 16(12) (2020) - 2019
- [j4]Patricia Wollstadt, Joseph T. Lizier, Raul Vicente, Conor Finn, Mario Martínez-Zarzuela, Pedro A. M. Mediano, Leonardo Novelli, Michael Wibral:
IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks. J. Open Source Softw. 4(34): 1081 (2019) - 2017
- [j3]Michael Wibral, Conor Finn, Patricia Wollstadt, Joseph T. Lizier, Viola Priesemann:
Quantifying Information Modification in Developing Neural Networks via Partial Information Decomposition. Entropy 19(9): 494 (2017) - [j2]Patricia Wollstadt, Kristin K. Sellers, Lucas Rudelt, Viola Priesemann, Axel Hutt, Flavio Fröhlich, Michael Wibral:
Breakdown of local information processing may underlie isoflurane anesthesia effects. PLoS Comput. Biol. 13(6) (2017) - 2014
- [j1]Carlos Gómez, Joseph Troy Lizier, Michael Schaum, Patricia Wollstadt, Christine Grützner, Peter Uhlhaas, Christine M. Freitag, Sabine Schlitt, Sven Bölte, Roberto Hornero, Michael Wibral:
Reduced predictable information in brain signals in autism spectrum disorder. Frontiers Neuroinformatics 8: 9 (2014)
Conference and Workshop Papers
- 2023
- [c18]Meike E. Kühne, Christiane B. Wiebel-Herboth, Patricia Wollstadt, André Calero Valdez, Thomas Franke:
Who's in Charge of Charging? Investigating Human-Machine-Cooperation in Smart Charging of Electric Vehicles. HCI (38) 2023: 131-143 - [c17]Christiane Attig, Tim Schrills, Markus Gödker, Patricia Wollstadt, Christiane B. Wiebel-Herboth, André Calero Valdez, Thomas Franke:
Enhancing Trust in Smart Charging Agents - The Role of Traceability for Human-Agent-Cooperation. HCI (53) 2023: 313-324 - [c16]Patricia Wollstadt, Matti Krüger, Christiane B. Wiebel-Herboth:
Quantifying Cooperation Between Rule-Based Hanabi Agents Using Information Theory. HHAI 2023: 422-425 - 2022
- [c15]Patricia Wollstadt, Matti Krüger:
Poster: Quantifying Cooperation Between Artificial Agents Using Information Theory. HHAI 2022: 302-304 - [c14]Felix Lanfermann, Sebastian Schmitt, Patricia Wollstadt:
Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces. ICDM (Workshops) 2022: 180-189 - [c13]Patricia Wollstadt, Matti Krüger:
Quantifying cooperation between artificial agents using synergistic information. SSCI 2022: 1044-1051 - 2021
- [c12]Thiago Rios, Bas van Stein, Patricia Wollstadt, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel:
Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders. CEC 2021: 514-521 - [c11]Sneha Saha, Thiago Rios, Leandro L. Minku, Bas van Stein, Patricia Wollstadt, Xin Yao, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel:
Exploiting Generative Models for Performance Predictions of 3D Car Designs. SSCI 2021: 1-9 - [c10]Patricia Wollstadt, Sebastian Schmitt:
Interaction-Aware Sensitivity Analysis for Aerodynamic Optimization Results using Information Theory. SSCI 2021: 1-8 - 2020
- [c9]Skylar Sible, Rodrigo Iza-Teran, Jochen Garcke, Nikola Aulig, Patricia Wollstadt:
A Compact Spectral Descriptor for Shape Deformations. ECAI 2020: 1930-1937 - [c8]Thiago Rios, Bas van Stein, Stefan Menzel, Thomas Bäck, Bernhard Sendhoff, Patricia Wollstadt:
Feature Visualization for 3D Point Cloud Autoencoders. IJCNN 2020: 1-9 - [c7]Thiago Rios, Jiawen Kong, Bas van Stein, Thomas Bäck, Patricia Wollstadt, Bernhard Sendhoff, Stefan Menzel:
Back To Meshes: Optimal Simulation-ready Mesh Prototypes For Autoencoder-based 3D Car Point Clouds. SSCI 2020: 942-949 - [c6]Timo Friedrich, Patricia Wollstadt, Stefan Menzel:
The Effects Of Non-linear Operators In Voxel-Based Deep Neural Networks For 3D Style Reconstruction. SSCI 2020: 1460-1468 - [c5]Sneha Saha, Stefan Menzel, Leandro L. Minku, Xin Yao, Bernhard Sendhoff, Patricia Wollstadt:
Quantifying The Generative Capabilities Of Variational Autoencoders For 3D Car Point Clouds. SSCI 2020: 1469-1477 - 2019
- [c4]Sneha Saha, Thiago Rios, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck, Xin Yao, Zhao Xu, Patricia Wollstadt:
Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks. ICDM Workshops 2019: 785-792 - [c3]Thiago Rios, Patricia Wollstadt, Bas van Stein, Thomas Bäck, Zhao Xu, Bernhard Sendhoff, Stefan Menzel:
Scalability of Learning Tasks on 3D CAE Models Using Point Cloud Autoencoders. SSCI 2019: 1367-1374 - 2015
- [c2]Patricia Wollstadt, Kristin K. Sellers, Axel Hutt, Flavio Fröhlich, Michael Wibral:
Anesthesia-related changes in information transfer may be caused by reduction in local information generation. EMBC 2015: 4045-4048 - 2012
- [c1]Michael Wibral, Patricia Wollstadt, Ulrich Meyer, Nicolae Pampu, Viola Priesemann, Raul Vicente:
Revisiting Wiener's principle of causality - interaction-delay reconstruction using transfer entropy and multivariate analysis on delay-weighted graphs. EMBC 2012: 3676-3679
Informal and Other Publications
- 2023
- [i13]Felix Lanfermann, Sebastian Schmitt, Patricia Wollstadt:
Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces. CoRR abs/2301.05525 (2023) - [i12]Lydia Fischer, Patricia Wollstadt:
Precision and Recall Reject Curves for Classification. CoRR abs/2308.08381 (2023) - [i11]David A. Ehrlich, Kyle Schick-Poland, Abdullah Makkeh, Felix Lanfermann, Patricia Wollstadt, Michael Wibral:
Partial Information Decomposition for Continuous Variables based on Shared Exclusions: Analytical Formulation and Estimation. CoRR abs/2311.06373 (2023) - 2022
- [i10]Patricia Wollstadt, Daniel L. Rathbun, W. Martin Usrey, André Moraes Bastos, Michael Lindner, Viola Priesemann, Michael Wibral:
Information-theoretic analyses of neural data to minimize the effect of researchers' assumptions in predictive coding studies. CoRR abs/2203.10810 (2022) - 2021
- [i9]Patricia Wollstadt, Sebastian Schmitt, Michael Wibral:
A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition. CoRR abs/2105.04187 (2021) - [i8]Kyle Schick-Poland, Abdullah Makkeh, Aaron J. Gutknecht, Patricia Wollstadt, Anja Sturm, Michael Wibral:
A partial information decomposition for discrete and continuous variables. CoRR abs/2106.12393 (2021) - [i7]Patricia Wollstadt, Sebastian Schmitt:
Interaction-Aware Sensitivity Analysis for Aerodynamic Optimization Results using Information Theory. CoRR abs/2112.05609 (2021) - 2020
- [i6]Skylar Sible, Rodrigo Iza-Teran, Jochen Garcke, Nikola Aulig, Patricia Wollstadt:
A Compact Spectral Descriptor for Shape Deformations. CoRR abs/2003.08758 (2020) - [i5]Patricia Wollstadt, Martina Hasenjäger, Christiane B. Wiebel-Herboth:
Quantifying the predictability of visual scanpaths using active information storage. CoRR abs/2012.11447 (2020) - 2019
- [i4]Leonardo Novelli, Patricia Wollstadt, Pedro A. M. Mediano, Michael Wibral, Joseph T. Lizier:
Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing. CoRR abs/1902.06828 (2019) - 2018
- [i3]Patricia Wollstadt, Joseph T. Lizier, Raul Vicente, Conor Finn, Mario Martínez-Zarzuela, Pedro A. M. Mediano, Leonardo Novelli, Michael Wibral:
IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks. CoRR abs/1807.10459 (2018) - 2015
- [i2]Patricia Wollstadt, Ulrich Meyer, Michael Wibral:
A Graph Algorithmic Approach to Separate Direct from Indirect Neural Interactions. CoRR abs/1504.00156 (2015) - 2014
- [i1]Patricia Wollstadt, Mario Martínez-Zarzuela, Raul Vicente, Francisco Javier Díaz Pernas, Michael Wibral:
Efficient transfer entropy analysis of non-stationary neural time series. CoRR abs/1401.4068 (2014)
Coauthor Index
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