Patricia Wollstadt

47 papers A 1B 2Journal 26Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Understanding successful human-AI teaming: The role of goal alignment and AI autonomy for social perception of LLM-based chatbots. Comput. Hum. Behav. Artif. Humans Christiane Attig, Luisa Winzer, Tim Schrills, Mourad Zoubir, Maged Mortaga, Patricia Wollstadt, Christiane B. Wiebel-Herboth, Thomas Franke
2025	J	`jnl`	A Real-World Energy Management Dataset from a Smart Company Building for Optimization and Machine Learning. CoRR Jens Engel, Andrea Castellani, Patricia Wollstadt, Felix Lanfermann, Thomas Schmitt, Sebastian Schmitt, Lydia Fischer, Steffen Limmer, David Luttropp, Florian Jomrich, René Unger, Tobias Rodemann
2025	J	`jnl`	Assistax: A Hardware-Accelerated Reinforcement Learning Benchmark for Assistive Robotics. CoRR Leonard Hinckeldey, Elliot Fosong, Elle Miller, Rimvydas Rubavicius, Trevor McInroe, Patricia Wollstadt, Christiane B. Wiebel-Herboth, Subramanian Ramamoorthy, Stefano V. Albrecht
2024	—	`conf`	More than Task Performance: Developing New Criteria for Successful Human-AI Teaming Using the Cooperative Card Game Hanabi. CHI Extended Abstracts Christiane Attig, Patricia Wollstadt, Tim Schrills, Thomas Franke, Christiane B. Wiebel-Herboth
2024	—	`conf`	Precision and Recall Reject Curves. WSOM+ Lydia Fischer, Patricia Wollstadt
2023	J	`jnl`	A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition. J. Mach. Learn. Res. Patricia Wollstadt, Sebastian Schmitt, Michael Wibral
2023	—	`conf`	Enhancing Trust in Smart Charging Agents - The Role of Traceability for Human-Agent-Cooperation. HCI (53) Christiane Attig, Tim Schrills, Markus Gödker, Patricia Wollstadt, Christiane B. Wiebel-Herboth, André Calero Valdez, Thomas Franke
2023	J	`jnl`	Information theoretic evidence for layer- and frequency-specific changes in cortical information processing under anesthesia. PLoS Comput. Biol. Edoardo Pinzuti, Patricia Wollstadt, Oliver Tüscher, Michael Wibral
2023	J	`jnl`	Information-theoretic analyses of neural data to minimize the effect of researchers' assumptions in predictive coding studies. PLoS Comput. Biol. Patricia Wollstadt, Daniel L. Rathbun, W. Martin Usrey, André Moraes Bastos, Michael Lindner, Viola Priesemann, Michael Wibral
2023	J	`jnl`	Partial Information Decomposition for Continuous Variables based on Shared Exclusions: Analytical Formulation and Estimation. CoRR David A. Ehrlich, Kyle Schick-Poland, Abdullah Makkeh, Felix Lanfermann, Patricia Wollstadt, Michael Wibral
2023	J	`jnl`	Precision and Recall Reject Curves for Classification. CoRR Lydia Fischer, Patricia Wollstadt
2023	—	`conf`	Quantifying Cooperation Between Rule-Based Hanabi Agents Using Information Theory. HHAI Patricia Wollstadt, Matti Krüger, Christiane B. Wiebel-Herboth
2023	J	`jnl`	Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces. CoRR Felix Lanfermann, Sebastian Schmitt, Patricia Wollstadt
2023	—	`conf`	Who's in Charge of Charging? Investigating Human-Machine-Cooperation in Smart Charging of Electric Vehicles. HCI (38) Meike E. Kühne, Christiane B. Wiebel-Herboth, Patricia Wollstadt, André Calero Valdez, Thomas Franke
2022	J	`jnl`	CarHoods10k: An Industry-Grade Data Set for Representation Learning and Design Optimization in Engineering Applications. IEEE Trans. Evol. Comput. Patricia Wollstadt, Mariusz Bujny, Satchit Ramnath, Jami J. Shah, Duane Detwiler, Stefan Menzel
2022	J	`jnl`	Information-theoretic analyses of neural data to minimize the effect of researchers' assumptions in predictive coding studies. CoRR Patricia Wollstadt, Daniel L. Rathbun, W. Martin Usrey, André Moraes Bastos, Michael Lindner, Viola Priesemann, Michael Wibral
2022	—	`conf`	Poster: Quantifying Cooperation Between Artificial Agents Using Information Theory. HHAI Patricia Wollstadt, Matti Krüger
2022	—	`conf`	Quantifying cooperation between artificial agents using synergistic information. SSCI Patricia Wollstadt, Matti Krüger
2022	—	`conf`	Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces. ICDM (Workshops) Felix Lanfermann, Sebastian Schmitt, Patricia Wollstadt
2021	J	`jnl`	A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition. CoRR Patricia Wollstadt, Sebastian Schmitt, Michael Wibral
2021	J	`jnl`	A partial information decomposition for discrete and continuous variables. CoRR Kyle Schick-Poland, Abdullah Makkeh, Aaron J. Gutknecht, Patricia Wollstadt, Anja Sturm, Michael Wibral
2021	—	`conf`	Exploiting Generative Models for Performance Predictions of 3D Car Designs. SSCI Sneha Saha, Thiago Rios, Leandro L. Minku, Bas van Stein, Patricia Wollstadt, Xin Yao, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel
2021	B	`conf`	Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders. CEC Thiago Rios, Bas van Stein, Patricia Wollstadt, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel
2021	—	`conf`	Interaction-Aware Sensitivity Analysis for Aerodynamic Optimization Results using Information Theory. SSCI Patricia Wollstadt, Sebastian Schmitt
2021	J	`jnl`	Interaction-Aware Sensitivity Analysis for Aerodynamic Optimization Results using Information Theory. CoRR Patricia Wollstadt, Sebastian Schmitt
2021	J	`jnl`	Quantifying the Predictability of Visual Scanpaths Using Active Information Storage. Entropy Patricia Wollstadt, Martina Hasenjäger, Christiane B. Wiebel-Herboth
2020	A	`conf`	A Compact Spectral Descriptor for Shape Deformations. ECAI Skylar Sible, Rodrigo Iza-Teran, Jochen Garcke, Nikola Aulig, Patricia Wollstadt
2020	J	`jnl`	A Compact Spectral Descriptor for Shape Deformations. CoRR Skylar Sible, Rodrigo Iza-Teran, Jochen Garcke, Nikola Aulig, Patricia Wollstadt
2020	—	`conf`	Back To Meshes: Optimal Simulation-ready Mesh Prototypes For Autoencoder-based 3D Car Point Clouds. SSCI Thiago Rios, Jiawen Kong, Bas van Stein, Thomas Bäck, Patricia Wollstadt, Bernhard Sendhoff, Stefan Menzel
2020	B	`conf`	Feature Visualization for 3D Point Cloud Autoencoders. IJCNN Thiago Rios, Bas van Stein, Stefan Menzel, Thomas Bäck, Bernhard Sendhoff, Patricia Wollstadt
2020	J	`jnl`	Measuring spectrally-resolved information transfer. PLoS Comput. Biol. Edoardo Pinzuti, Patricia Wollstadt, Aaron J. Gutknecht, Oliver Tüscher, Michael Wibral
2020	—	`conf`	Quantifying The Generative Capabilities Of Variational Autoencoders For 3D Car Point Clouds. SSCI Sneha Saha, Stefan Menzel, Leandro L. Minku, Xin Yao, Bernhard Sendhoff, Patricia Wollstadt
2020	J	`jnl`	Quantifying the predictability of visual scanpaths using active information storage. CoRR Patricia Wollstadt, Martina Hasenjäger, Christiane B. Wiebel-Herboth
2020	—	`conf`	The Effects Of Non-linear Operators In Voxel-Based Deep Neural Networks For 3D Style Reconstruction. SSCI Timo Friedrich, Patricia Wollstadt, Stefan Menzel
2019	J	`jnl`	IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks. J. Open Source Softw. Patricia Wollstadt, Joseph T. Lizier, Raul Vicente, Conor Finn, Mario Martínez-Zarzuela, Pedro A. M. Mediano, Leonardo Novelli, Michael Wibral
2019	J	`jnl`	Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing. CoRR Leonardo Novelli, Patricia Wollstadt, Pedro A. M. Mediano, Michael Wibral, Joseph T. Lizier
2019	—	`conf`	Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks. ICDM Workshops Sneha Saha, Thiago Rios, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck, Xin Yao, Zhao Xu, Patricia Wollstadt
2019	—	`conf`	Scalability of Learning Tasks on 3D CAE Models Using Point Cloud Autoencoders. SSCI Thiago Rios, Patricia Wollstadt, Bas van Stein, Thomas Bäck, Zhao Xu, Bernhard Sendhoff, Stefan Menzel
2018	J	`jnl`	IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks. CoRR Patricia Wollstadt, Joseph T. Lizier, Raul Vicente, Conor Finn, Mario Martínez-Zarzuela, Pedro A. M. Mediano, Leonardo Novelli, Michael Wibral
2018	—	`—`	Measuring information processing in neural data: The application of transfer entropy in neuroscience. Patricia Wollstadt
2017	J	`jnl`	Breakdown of local information processing may underlie isoflurane anesthesia effects. PLoS Comput. Biol. Patricia Wollstadt, Kristin K. Sellers, Lucas Rudelt, Viola Priesemann, Axel Hutt, Flavio Fröhlich, Michael Wibral
2017	J	`jnl`	Quantifying Information Modification in Developing Neural Networks via Partial Information Decomposition. Entropy Michael Wibral, Conor Finn, Patricia Wollstadt, Joseph T. Lizier, Viola Priesemann
2015	J	`jnl`	A Graph Algorithmic Approach to Separate Direct from Indirect Neural Interactions. CoRR Patricia Wollstadt, Ulrich Meyer, Michael Wibral
2015	—	`conf`	Anesthesia-related changes in information transfer may be caused by reduction in local information generation. EMBC Patricia Wollstadt, Kristin K. Sellers, Axel Hutt, Flavio Fröhlich, Michael Wibral
2014	J	`jnl`	Efficient transfer entropy analysis of non-stationary neural time series. CoRR Patricia Wollstadt, Mario Martínez-Zarzuela, Raul Vicente, Francisco Javier Díaz Pernas, Michael Wibral
2014	J	`jnl`	Reduced predictable information in brain signals in autism spectrum disorder. Frontiers Neuroinformatics Carlos Gómez, Joseph Troy Lizier, Michael Schaum, Patricia Wollstadt, Christine Grützner, Peter Uhlhaas, Christine M. Freitag, Sabine Schlitt, Sven Bölte, Roberto Hornero, Michael Wibral
2012	—	`conf`	Revisiting Wiener's principle of causality - interaction-delay reconstruction using transfer entropy and multivariate analysis on delay-weighted graphs. EMBC Michael Wibral, Patricia Wollstadt, Ulrich Meyer, Nicolae Pampu, Viola Priesemann, Raul Vicente