| 2025 | CogSci | How Habit Learning Guides Planning: A Normative View and Behavioral Evidence. | Maximilian Mittenbhler, Valentin Leonard Durach, Johanna Katharina Theuer, Martin V. Butz |
| 2025 | ICANN | Minimal Convolutional RNNs Accelerate Spatiotemporal Learning. | Cosku Can Horuz, Sebastian Otte, Martin V. Butz, Matthias Karlbauer |
| 2024 | CogSci | Interpreting implausible event descriptions under noise. | Asya Achimova, Marjolein van Os, Vera Demberg, Martin V. Butz |
| 2024 | CogSci | Developing Object Permanence from Videos. | Frederic Becker, Manuel Traub, Sebastian Otte, Martin V. Butz |
| 2024 | CogSci | Modeling auditory voice recognition improvements by face simulation. | Christian Gumbsch, Martin V. Butz, Katharina von Kriegstein |
| 2024 | CogSci | A Rational Trade-Off Between the Costs and Benefits of Automatic and Controlled Processing. | Maximilian Mittenbhler, Sarah Schwbel, David Dignath, Stefan J. Kiebel, Martin V. Butz |
| 2024 | CogSci | Quick and Accurate Affordance Learning. | Fedor Scholz, Erik Ayari, Johannes Bertram, Martin V. Butz |
| 2024 | CogSci | Modeling the Emergent Development of Inference-based Goal Anticipation in Infants. | Johanna Katharina Theuer, Nadine Nicole Koch, Christian Gumbsch, Birgit Elsner, Martin V. Butz |
| 2024 | ICANN | Learning Object Permanence from Videos via Latent Imaginations. | Manuel Traub, Frederic Becker, Sebastian Otte, Martin V. Butz |
| 2024 | ICANN | Loci-Segmented: Improving Scene Segmentation Learning. | Manuel Traub, Frederic Becker, Adrian Sauter, Sebastian Otte, Martin V. Butz |
| 2024 | ICLR | Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics. | Christian Gumbsch, Noor Sajid, Georg Martius, Martin V. Butz |
| 2023 | ICLR | Learning What and Where: Disentangling Location and Identity Tracking Without Supervision. | Manuel Traub, Sebastian Otte, Tobias Menge, Matthias Karlbauer, Jannik Thmmel, Martin V. Butz |
| 2022 | CogSci | Understanding of Linguistic Scales in Speakers with Williams Syndrome. | Asya Achimova, Julien Musolino, Rennie Pasquinelli, Martin V. Butz, Barbara Landau |
| 2022 | CogSci | Efficient learning through compositionality in a CNN-RNN model consisting of a bottom-up and a top-down pathway. | Sarah Fabi, Lena Holzwarth, Martin V. Butz |
| 2022 | ICANN | Infering Boundary Conditions in Finite Volume Neural Networks. | Cosku Can Horuz, Matthias Karlbauer, Timothy Praditia, Martin V. Butz, Sergey Oladyshkin, Wolfgang Nowak, Sebastian Otte |
| 2022 | ICML | Composing Partial Differential Equations with Physics-Aware Neural Networks. | Matthias Karlbauer, Timothy Praditia, Sebastian Otte, Sergey Oladyshkin, Wolfgang Nowak, Martin V. Butz |
| 2021 | CogSci | I see where this is going: Modeling the development of infants' goal-predictive gaze. | Christian Gumbsch, Maurits Adam, Birgit Elsner, Martin V. Butz |
| 2021 | CogSci | Latent Event-Predictive Encodings through Counterfactual Regularization. | Dania Humaidan, Sebastian Otte, Christian Gumbsch, Charley M. Wu, Martin V. Butz |
| 2021 | CogSci | Can Action Bias the Perception of Ambiguous Auditory Stimuli? | Johannes Lohmann, Martin V. Butz |
| 2021 | CogSci | Speakers Use More Informative Referring Expressions to Describe Surprising Events. | Christian Stegemann-Philipps, Martin V. Butz, Susanne Winkler, Asya Achimova |
| 2021 | CogSci | Modeling the Anticipatory Remapping of Spatial Body Representations: A Free Energy Approach. | Patrick Weigert, Johannes Lohmann, Martin V. Butz |
| 2021 | ICANN | Signal Denoising with Recurrent Spiking Neural Networks and Active Tuning. | Melvin Ciurletti, Manuel Traub, Matthias Karlbauer, Martin V. Butz, Sebastian Otte |
| 2021 | ICANN | Fostering Compositionality in Latent, Generative Encodings to Solve the Omniglot Challenge. | Sarah Fabi, Sebastian Otte, Martin V. Butz |
| 2021 | ICANN | Latent State Inference in a Spatiotemporal Generative Model. | Matthias Karlbauer, Tobias Menge, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz |
| 2021 | ICANN | Binding and Perspective Taking as Inference in a Generative Neural Network Model. | Mahdi Sadeghi, Fabian Schrodt, Sebastian Otte, Martin V. Butz |
| 2021 | ICANN | Dynamic Action Inference with Recurrent Spiking Neural Networks. | Manuel Traub, Martin V. Butz, Robert Legenstein, Sebastian Otte |
| 2020 | CogSci | Bayesian inference in dialogue. | Asya Achimova, Ella I. Eisemann, Martin V. Butz |
| 2020 | CogSci | Hands in Thought and Motion. | Johannes Lohmann, Martin V. Butz |
| 2020 | ESANN | Sequence Classification using Ensembles of Recurrent Generative Expert Modules. | Marius Hobbhahn, Martin V. Butz, Sarah Fabi, Sebastian Otte |
| 2020 | ESANN | A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction. | Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz |
| 2020 | ICANN | Investigating Efficient Learning and Compositionality in Generative LSTM Networks. | Sarah Fabi, Sebastian Otte, Jonas Gregor Wiese, Martin V. Butz |
| 2020 | ICANN | Fostering Event Compression Using Gated Surprise. | Dania Humaidan, Sebastian Otte, Martin V. Butz |
| 2020 | ICANN | Inferring, Predicting, and Denoising Causal Wave Dynamics. | Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz |
| 2020 | ICANN | Learning Precise Spike Timings with Eligibility Traces. | Manuel Traub, Martin V. Butz, R. Harald Baayen, Sebastian Otte |
| 2019 | CogSci | Unflinching Predictions: Anticipatory Crossmodal Interactions are Unaffected by the Current Hand Posture. | Johannes Lohmann, Martin V. Butz |
| 2019 | CogSci | On the purpose of ambiguous utterances. | Gregory Scontras, Asya Achimova, Christian Stegemann, Martin V. Butz |
| 2019 | ICANN | Inferring Event-Predictive Goal-Directed Object Manipulations in REPRISE. | Martin V. Butz, Tobias Menge, Dania Humaidan, Sebastian Otte |
| 2019 | ICANN | Gradient-Based Learning of Compositional Dynamics with Modular RNNs. | Sebastian Otte, Patricia Rubisch, Martin V. Butz |
| 2019 | ICANN | Incorporating Adaptive RNN-Based Action Inference and Sensory Perception. | Sebastian Otte, Jakob Stoll, Martin V. Butz |
| 2018 | CogSci | REPRISE: A Retrospective and Prospective Inference Scheme. | Martin V. Butz, David K. Bilkey, Alistair Knott, Sebastian Otte |
| 2018 | CogSci | Symposium on Event Predictive Cognition. | Martin V. Butz, Alistair Knott |
| 2018 | CogSci | Are you Sure How to Move? Expected Uncertainty Modulates Anticipatory Crossmodal Interactions. | Johannes Lohmann, Anna Belardinelli, Martin V. Butz |
| 2018 | ICANN | Integrative Collision Avoidance Within RNN-Driven Many-Joint Robot Arms. | Sebastian Otte, Lea Hofmaier, Martin V. Butz |
| 2018 | VR | Knowledge Spaces in VR: Intuitive Interfacing with a Multiperspective Hypermedia Environment. | Peter Gerjets, Martin Lachmair, Martin V. Butz, Johannes Lohmann |
| 2017 | CogSci | Projecting space into the future: peripersonal space remaps in anticipation of an object manipulation. | Anna Belardinelli, Johannes Lohmann, Martin V. Butz |
| 2017 | CogSci | Game-XP: Action Games as Cognitive Science Paradigms. | Wayne D. Gray, Ray S. Perez, Martin V. Butz, Stuart Reeves, Matthew Sangster, Tom Stafford, Fernand Gobet |
| 2017 | CogSci | A Computational Model for the Dynamical Learning of Event Taxonomies. | Christian Gumbsch, Sebastian Otte, Martin V. Butz |
| 2017 | CogSci | Reference Systems in Spatial Memory for Vertical Locations. | Thomas Hinterecker, Caroline Leroy, Maximilian E. Kirschhock, Mintao Zhao, Martin V. Butz, Heinrich H. Blthoff, Tobias Meilinger |
| 2017 | CogSci | Grasping Multisensory Integration: Proprioceptive Capture after Virtual Object Interactions. | Johannes Lohmann, Jakob Gtschow, Martin V. Butz |
| 2017 | CogSci | Anticipatory Active Inference from Learned Recurrent Neural Forward Models. | Sebastian Otte, Theresa Schmitt, Martin V. Butz |
| 2017 | CogSci | Learning Temporal Generative Neural Codes for Biological Motion Perception and Inference. | Fabian Schrodt, Martin V. Butz |
| 2017 | ICANN | Inferring Adaptive Goal-Directed Behavior Within Recurrent Neural Networks. | Sebastian Otte, Theresa Schmitt, Karl J. Friston, Martin V. Butz |
| 2017 | ICANN | Inherently Constraint-Aware Control of Many-Joint Robot Arms with Inverse Recurrent Models. | Sebastian Otte, Adrian Zwiener, Martin V. Butz |
| 2016 | CogSci | Human-object interaction understanding without objects. | Anna Belardinelli, Johannes Lohmann, Martin V. Butz |
| 2016 | CogSci | Is it Living? Insights from Modeling Event-Oriented, Self-Motivated, Acting, Learning and Conversing Game Agents. | Martin V. Butz, Mihael Simonic, Marcel Binz, Jonas Einig, Stephan Ehrenfeld, Fabian Schrodt |
| 2016 | CogSci | Learning Behavior-Grounded Event Segmentations. | Christian Gumbsch, Jan Kneissler, Martin V. Butz |
| 2016 | IROS | Learning where to search using visual attention. | Alina Kloss, Daniel Kappler, Hendrik P. A. Lensch, Martin V. Butz, Stefan Schaal, Jeannette Bohg |
| 2015 | CogSci | It's all in the eye: multiple orders of motor planning in gaze control. | Anna Belardinelli, Martin V. Butz |
| 2015 | CogSci | An Automatized Heider-Simmel Story Generation Tool. | Martin V. Butz, Robert Geirhos, Jan Kneissler |
| 2015 | ESANN | Learning Recurrent Dynamics using Differential Evolution. | Sebastian Otte, Fabian Becker, Martin V. Butz, Marcus Liwicki, Andreas Zell |
| 2014 | CogSci | Modeling Simultanagnosia. | Anna Belardinelli, Johannes Kurz, Esther Kutter, Heiko Neumann, Hans-Otto Karnath, Martin V. Butz |
| 2014 | CogSci | Modeling Perspective-Taking by Correlating Visual and Proprioceptive Dynamics. | Fabian Schrodt, Georg Layher, Heiko Neumann, Martin V. Butz |
| 2014 | ICANN | Learning Spatial Transformations Using Structured Gain-Field Networks. | Jan Kneissler, Martin V. Butz |
| 2013 | CogSci | Gaze strategies in object identification and manipulation. | Anna Belardinelli, Martin V. Butz |
| 2013 | CogSci | Modeling Continuous Representations in Visual Working Memory. | Johannes Lohmann, Martin V. Butz |
| 2012 | GECCO | Filtering sensory information with XCSF: improving learning robustness and control performance. | Jan Kneissler, Patrick O. Stalph, Jan Drugowitsch, Martin V. Butz |
| 2012 | GECCO | Guided evolution in XCSF. | Patrick O. Stalph, Martin V. Butz |
| 2012 | ICANN | Reservoir Sizes and Feedback Weights Interact Non-linearly in Echo State Networks. | Danil Koryakin, Martin V. Butz |
| 2012 | IROS | Autonomous failure detection and multimodal sensor fusion in a modular arm model. | Stephan Ehrenfeld, Martin V. Butz |
| 2011 | GECCO | Learning classifier systems. | Martin V. Butz |
| 2011 | GECCO | Modularization of xcsf for multiple output dimensions. | Martin V. Butz, Patrick O. Stalph |
| 2011 | GECCO | XCSF with local deletion: preventing detrimental forgetting. | Martin V. Butz, Olivier Sigaud |
| 2011 | GECCO | Extracting adaptation strategies for e-learning programs with XCS. | Anke Endler, Martin V. Butz, Gnter Daniel Rey |
| 2011 | ICRA | A modular, redundant, multi-frame of reference representation for kinematic chains. | Stephan Ehrenfeld, Martin V. Butz |
| 2010 | GECCO | Learning classifier systems. | Martin V. Butz |
| 2010 | GECCO | Evolving robust controller parameters using covariance matrix adaptation. | Gerulf K. M. Pedersen, Martin V. Butz |
| 2010 | GECCO | A comparative study: function approximation with LWPR and XCSF. | Patrick O. Stalph, Jrmie Rubinsztajn, Olivier Sigaud, Martin V. Butz |
| 2009 | GECCO | Learning sensorimotor control structures with XCSF: redundancy exploitation and dynamic control. | Martin V. Butz, Gerulf K. M. Pedersen, Patrick O. Stalph |
| 2009 | GECCO | NEAT in increasingly non-linear control situations. | Matthias J. Linhardt, Martin V. Butz |
| 2009 | GECCO | Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap. | Martin Pelikan, Kumara Sastry, David E. Goldberg, Martin V. Butz, Mark Hauschild |
| 2009 | GECCO | On the scalability of XCS(F). | Patrick O. Stalph, Martin V. Butz, David E. Goldberg, Xavier Llor |
| 2009 | KI | The Scared Robot: Motivations in a Simulated Robot Arm. | Martin V. Butz, Gerulf K. M. Pedersen |
| 2009 | KI | Controlling a Four Degree of Freedom Arm in 3D Using the XCSF Learning Classifier System. | Patrick O. Stalph, Martin V. Butz, Gerulf K. M. Pedersen |
| 2008 | GECCO | Learning classifier systems. | Martin V. Butz |
| 2008 | GECCO | Context-dependent predictions and cognitive arm control with XCSF. | Martin V. Butz, Oliver Herbort |
| 2008 | GECCO | An analysis of matching in learning classifier systems. | Martin V. Butz, Pier Luca Lanzi, Xavier Llor, Daniele Loiacono |
| 2008 | GECCO | Self-adaptive mutation in XCSF. | Martin V. Butz, Patrick O. Stalph, Pier Luca Lanzi |
| 2008 | GECCO | Towards increasing learning speed and robustness of XCSF: experimenting with larger offspring set sizes. | Patrick O. Stalph, Martin V. Butz |
| 2007 | GECCO | Learning classifier systems. | Martin V. Butz |
| 2007 | GECCO | Empirical analysis of generalization and learning in XCS with gradient descent. | Pier Luca Lanzi, Martin V. Butz, David E. Goldberg |
| 2007 | HIS | Combining Gradient-Based With Evolutionary Online Learning: An Introduction to Learning Classifier Systems. | Martin V. Butz |
| 2007 | IJCNN | Emergent Effector-Independent Internal Spaces: Adaptation and Intermanual Learning Transfer in Humans and Neural Networks. | Martin V. Butz, Alexandra Lenhard, Oliver Herbort |
| 2007 | IJCNN | Encoding Complete Body Models Enables Task Dependent Optimal Behavior. | Oliver Herbort, Martin V. Butz |
| 2006 | GECCO | Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure. | Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson |
| 2006 | GECCO | Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions. | Martin V. Butz, Martin Pelikan |
| 2006 | GECCO | Hierarchical BOA on random decomposable problems. | Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg |
| 2006 | PPSN | Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm. | Cludio F. Lima, Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg, Fernando G. Lobo |
| 2006 | PPSN | Performance of Evolutionary Algorithms on Random Decomposable Problems. | Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg |
| 2005 | GECCO | Kernel-based, ellipsoidal conditions in the real-valued XCS classifier system. | Martin V. Butz |
| 2005 | GECCO | Extracted global structure makes local building block processing effective in XCS. | Martin V. Butz, Martin Pelikan, Xavier Llor, David E. Goldberg |
| 2005 | ISDA | Analysis and Evaluation of Learning Classifier Systems applied to Hyperspectral Image Classification. | Arnaud Quirin, Jerzy Korczak, Martin V. Butz, David E. Goldberg |
| 2004 | GECCO | Bounding Learning Time in XCS. | Martin V. Butz, David E. Goldberg, Pier Luca Lanzi |
| 2004 | GECCO | Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems. | Martin V. Butz, David E. Goldberg, Pier Luca Lanzi |
| 2004 | PPSN | Speeding-Up Pittsburgh Learning Classifier Systems: Modeling Time and Accuracy. | Jaume Bacardit, David E. Goldberg, Martin V. Butz, Xavier Llor, Josep Maria Garrell i Guiu |
| 2004 | PPSN | Knowledge Extraction and Problem Structure Identification in XCS. | Martin V. Butz, Pier Luca Lanzi, Xavier Llor, David E. Goldberg |
| 2003 | GECCO | Bounding the Population Size in XCS to Ensure Reproductive Opportunities. | Martin V. Butz, David E. Goldberg |
| 2003 | GECCO | Tournament Selection: Stable Fitness Pressure in XCS. | Martin V. Butz, Kumara Sastry, David E. Goldberg |
| 2003 | GECCO | Towards Building Block Propagation in XCS: A Negative Result and Its Implications. | Kurian K. Tharakunnel, Martin V. Butz, David E. Goldberg |
| 2003 | IJCNN | Bidirectional ARTMAP: an artificial mirror neuron system. | Martin V. Butz, Sylvian R. Ray |
| 2000 | GECCO | Introducing a Genetic Generalization Pressure to the Anticipatory Classifier System - Part 1: Theoretical approach. | Martin V. Butz, David E. Goldberg, Wolfgang Stolzmann |
| 2000 | PPSN | Investigating Generalization in the Anticipatory Classifier System. | Martin V. Butz, David E. Goldberg, Wolfgang Stolzmann |