Patricia Wollstadt

According to our database, Patricia Wollstadt authored at least 35 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Information-theoretic analyses of neural data to minimize the effect of researchers' assumptions in predictive coding studies.

Patricia Wollstadt, Daniel L. Rathbun, W. Martin Usrey, André Moraes Bastos, Michael Lindner, Viola Priesemann, Michael Wibral

PLoS Comput. Biol., November, 2023

Information theoretic evidence for layer- and frequency-specific changes in cortical information processing under anesthesia.

Edoardo Pinzuti, Patricia Wollstadt, Oliver Tüscher, Michael Wibral

PLoS Comput. Biol., January, 2023

A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition.

Patricia Wollstadt, Sebastian Schmitt, Michael Wibral

J. Mach. Learn. Res., 2023

Partial Information Decomposition for Continuous Variables based on Shared Exclusions: Analytical Formulation and Estimation.

David A. Ehrlich, Kyle Schick-Poland, Abdullah Makkeh, Felix Lanfermann, Patricia Wollstadt, Michael Wibral

CoRR, 2023

Precision and Recall Reject Curves for Classification.

Lydia Fischer, Patricia Wollstadt

CoRR, 2023

Quantifying Cooperation Between Rule-Based Hanabi Agents Using Information Theory.

Patricia Wollstadt, Matti Krüger, Christiane B. Wiebel-Herboth

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.

Meike E. Kühne, Christiane B. Wiebel-Herboth, Patricia Wollstadt, André Calero Valdez, Thomas Franke

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.

Christiane Attig, Tim Schrills, Markus Gödker, Patricia Wollstadt, Christiane B. Wiebel-Herboth, André Calero Valdez, Thomas Franke

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.

Patricia Wollstadt, Mariusz Bujny, Satchit Ramnath, Jami J. Shah, Duane Detwiler, Stefan Menzel

IEEE Trans. Evol. Comput., 2022

Quantifying cooperation between artificial agents using synergistic information.

Patricia Wollstadt, Matti Krüger

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces.

Felix Lanfermann, Sebastian Schmitt, Patricia Wollstadt

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Poster: Quantifying Cooperation Between Artificial Agents Using Information Theory.

Patricia Wollstadt, Matti Krüger

Proceedings of the HHAI 2022: Augmenting Human Intellect, 2022

2021

Quantifying the Predictability of Visual Scanpaths Using Active Information Storage.

Patricia Wollstadt, Martina Hasenjäger, Christiane B. Wiebel-Herboth

Entropy, 2021

A partial information decomposition for discrete and continuous variables.

Kyle Schick-Poland, Abdullah Makkeh, Aaron J. Gutknecht, Patricia Wollstadt, Anja Sturm, Michael Wibral

CoRR, 2021

Interaction-Aware Sensitivity Analysis for Aerodynamic Optimization Results using Information Theory.

Patricia Wollstadt, Sebastian Schmitt

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Exploiting Generative Models for Performance Predictions of 3D Car Designs.

Sneha Saha, Thiago Rios, Leandro L. Minku, Bas van Stein, Patricia Wollstadt, Xin Yao, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders.

Thiago Rios, Bas van Stein, Patricia Wollstadt, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Measuring spectrally-resolved information transfer.

Edoardo Pinzuti, Patricia Wollstadt, Aaron J. Gutknecht, Oliver Tüscher, Michael Wibral

PLoS Comput. Biol., 2020

Quantifying The Generative Capabilities Of Variational Autoencoders For 3D Car Point Clouds.

Sneha Saha, Stefan Menzel, Leandro L. Minku, Xin Yao, Bernhard Sendhoff, Patricia Wollstadt

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.

Thiago Rios, Jiawen Kong, Bas van Stein, Thomas Bäck, Patricia Wollstadt, Bernhard Sendhoff, Stefan Menzel

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.

Timo Friedrich, Patricia Wollstadt, Stefan Menzel

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Feature Visualization for 3D Point Cloud Autoencoders.

Thiago Rios, Bas van Stein, Stefan Menzel, Thomas Bäck, Bernhard Sendhoff, Patricia Wollstadt

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Compact Spectral Descriptor for Shape Deformations.

Skylar Sible, Rodrigo Iza-Teran, Jochen Garcke, Nikola Aulig, Patricia Wollstadt

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.

Patricia Wollstadt, Joseph T. Lizier, Raul Vicente, Conor Finn, Mario Martínez-Zarzuela, Pedro A. M. Mediano, Leonardo Novelli, Michael Wibral

J. Open Source Softw., 2019

Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing.

Leonardo Novelli, Patricia Wollstadt, Pedro A. M. Mediano, Michael Wibral, Joseph T. Lizier

CoRR, 2019

Scalability of Learning Tasks on 3D CAE Models Using Point Cloud Autoencoders.

Thiago Rios, Patricia Wollstadt, Bas van Stein, Thomas Bäck, Zhao Xu, Bernhard Sendhoff, Stefan Menzel

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks.

Sneha Saha, Thiago Rios, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck, Xin Yao, Zhao Xu, Patricia Wollstadt

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.

Patricia Wollstadt

PhD thesis, 2018

2017

Breakdown of local information processing may underlie isoflurane anesthesia effects.

Patricia Wollstadt, Kristin K. Sellers, Lucas Rudelt, Viola Priesemann, Axel Hutt, Flavio Fröhlich, Michael Wibral

PLoS Comput. Biol., 2017

Quantifying Information Modification in Developing Neural Networks via Partial Information Decomposition.

Michael Wibral, Conor Finn, Patricia Wollstadt, Joseph T. Lizier, Viola Priesemann

Entropy, 2017

2015

A Graph Algorithmic Approach to Separate Direct from Indirect Neural Interactions.

Patricia Wollstadt, Ulrich Meyer, Michael Wibral

CoRR, 2015

Anesthesia-related changes in information transfer may be caused by reduction in local information generation.

Patricia Wollstadt, Kristin K. Sellers, Axel Hutt, Flavio Fröhlich, Michael Wibral

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

Reduced predictable information in brain signals in autism spectrum disorder.

Carlos Gómez, Joseph Troy Lizier, Michael Schaum, Patricia Wollstadt, Christine Grützner, Peter Uhlhaas, Christine M. Freitag, Sabine Schlitt, Sven Bölte, Roberto Hornero, Michael Wibral

Frontiers Neuroinformatics, 2014

Efficient transfer entropy analysis of non-stationary neural time series.

Patricia Wollstadt, Mario Martínez-Zarzuela, Raul Vicente, Francisco Javier Díaz Pernas, Michael Wibral

CoRR, 2014

2012

Revisiting Wiener's principle of causality - interaction-delay reconstruction using transfer entropy and multivariate analysis on delay-weighted graphs.

Michael Wibral, Patricia Wollstadt, Ulrich Meyer, Nicolae Pampu, Viola Priesemann, Raul Vicente

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012