Patricia Wollstadt

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 37

Top Venues

Goethe University Frankfurt, Frankfurt am Main, Germany (PHD)

Education History

Goethe University Frankfurt, Frankfurt am Main, Germany

PHD

Publications

Christiane Attig, Patricia Wollstadt, Tim Schrills, Thomas Franke, Christiane B. Wiebel-Herboth
More than Task Performance: Developing New Criteria for Successful Human-AI Teaming Using the Cooperative Card Game Hanabi. CHI Extended Abstracts (2024)
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)
Felix Lanfermann, Sebastian Schmitt, Patricia Wollstadt
Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces. CoRR (2023)
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 (2023)
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)
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 (2023)
Patricia Wollstadt, Matti Krüger, Christiane B. Wiebel-Herboth
Quantifying Cooperation Between Rule-Based Hanabi Agents Using Information Theory. HHAI (2023)
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)
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)
Lydia Fischer, Patricia Wollstadt
Precision and Recall Reject Curves for Classification. CoRR (2023)
Patricia Wollstadt, Matti Krüger
Poster: Quantifying Cooperation Between Artificial Agents Using Information Theory. HHAI (2022)
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) (2022)
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 (2022)
Patricia Wollstadt, Matti Krüger
Quantifying cooperation between artificial agents using synergistic information. SSCI (2022)
Felix Lanfermann, Sebastian Schmitt, Patricia Wollstadt
Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces. ICDM (Workshops) (2022)
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)
Kyle Schick-Poland, Abdullah Makkeh, Aaron J. Gutknecht, Patricia Wollstadt, Anja Sturm, Michael Wibral
A partial information decomposition for discrete and continuous variables. CoRR (2021)
Patricia Wollstadt, Sebastian Schmitt, Michael Wibral
A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition. CoRR (2021)
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)
Patricia Wollstadt, Martina Hasenjäger, Christiane B. Wiebel-Herboth
Quantifying the Predictability of Visual Scanpaths Using Active Information Storage. Entropy 23 (2) (2021)
Patricia Wollstadt, Sebastian Schmitt
Interaction-Aware Sensitivity Analysis for Aerodynamic Optimization Results using Information Theory. SSCI (2021)
Patricia Wollstadt, Sebastian Schmitt
Interaction-Aware Sensitivity Analysis for Aerodynamic Optimization Results using Information Theory. CoRR (2021)
Thiago Rios, Bas van Stein, Stefan Menzel, Thomas Bäck, Bernhard Sendhoff, Patricia Wollstadt
Feature Visualization for 3D Point Cloud Autoencoders. IJCNN (2020)
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)
Patricia Wollstadt, Martina Hasenjäger, Christiane B. Wiebel-Herboth
Quantifying the predictability of visual scanpaths using active information storage. CoRR (2020)
Timo Friedrich, Patricia Wollstadt, Stefan Menzel
The Effects Of Non-linear Operators In Voxel-Based Deep Neural Networks For 3D Style Reconstruction. SSCI (2020)
Skylar Sible, Rodrigo Iza-Teran, Jochen Garcke, Nikola Aulig, Patricia Wollstadt
A Compact Spectral Descriptor for Shape Deformations. CoRR (2020)
Skylar Sible, Rodrigo Iza-Teran, Jochen Garcke, Nikola Aulig, Patricia Wollstadt
A Compact Spectral Descriptor for Shape Deformations. ECAI (2020)
Edoardo Pinzuti, Patricia Wollstadt, Aaron J. Gutknecht, Oliver Tüscher, Michael Wibral
Measuring spectrally-resolved information transfer. PLoS Comput. Biol. 16 (12) (2020)
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)
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)
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) (2019)
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 (2019)
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)
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 (2018)
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)
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) (2017)
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)
Patricia Wollstadt, Ulrich Meyer, Michael Wibral
A Graph Algorithmic Approach to Separate Direct from Indirect Neural Interactions. CoRR (2015)
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 (2014)
Patricia Wollstadt, Mario Martínez-Zarzuela, Raul Vicente, Francisco Javier Díaz Pernas, Michael Wibral
Efficient transfer entropy analysis of non-stationary neural time series. CoRR (2014)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Patricia Wollstadt