Martin V. Butz

239 papers A* 6A 27B 45C 4Misc 2Journal 76Unranked 61

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dynamics-Aligned Shared Hypernetworks for Zero-Shot Actuator Inversion. CoRR Jan Benad, Pradeep Kr. Banerjee, Frank Röder, Nihat Ay, Martin V. Butz, Manfred Eppe
2025	B	`conf`	How Habit Learning Guides Planning: A Normative View and Behavioral Evidence. CogSci Maximilian Mittenbühler, Valentin Leonard Durach, Johanna Katharina Theuer, Martin V. Butz
2025	—	`conf`	Minimal Convolutional RNNs Accelerate Spatiotemporal Learning. ICANN (1) Cosku Can Horuz, Sebastian Otte, Martin V. Butz, Matthias Karlbauer
2025	J	`jnl`	Minimal Convolutional RNNs Accelerate Spatiotemporal Learning. CoRR Cosku Can Horuz, Sebastian Otte, Martin V. Butz, Matthias Karlbauer
2025	J	`jnl`	Reframing attention as a reinforcement learning problem for causal discovery. CoRR Turan Orujlu, Christian Gumbsch, Martin V. Butz, Charley M. Wu
2025	J	`jnl`	Rethinking Vision Transformer for Object Centric Foundation Models. CoRR Manuel Traub, Martin V. Butz
2024	B	`conf`	A Rational Trade-Off Between the Costs and Benefits of Automatic and Controlled Processing. CogSci Maximilian Mittenbühler, Sarah Schwöbel, David Dignath, Stefan J. Kiebel, Martin V. Butz
2024	B	`conf`	Developing Object Permanence from Videos. CogSci Frederic Becker, Manuel Traub, Sebastian Otte, Martin V. Butz
2024	J	`jnl`	Embodied magnitude processing: On the relation between the SNARC effect and perceived reachability. J. Numer. Cogn. Nadine Nicole Koch, Johannes Lohmann, Martin V. Butz, Hans-Christoph Nuerk
2024	B	`conf`	Interpreting implausible event descriptions under noise. CogSci Asya Achimova, Marjolein van Os, Vera Demberg, Martin V. Butz
2024	A*	`conf`	Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics. ICLR Christian Gumbsch, Noor Sajid, Georg Martius, Martin V. Butz
2024	—	`conf`	Learning Object Permanence from Videos via Latent Imaginations. ICANN (3) Manuel Traub, Frederic Becker, Sebastian Otte, Martin V. Butz
2024	—	`conf`	Loci-Segmented: Improving Scene Segmentation Learning. ICANN (3) Manuel Traub, Frederic Becker, Adrian Sauter, Sebastian Otte, Martin V. Butz
2024	B	`conf`	Modeling auditory voice recognition improvements by face simulation. CogSci Christian Gumbsch, Martin V. Butz, Katharina von Kriegstein
2024	B	`conf`	Modeling the Emergent Development of Inference-based Goal Anticipation in Infants. CogSci Johanna Katharina Theuer, Nadine Nicole Koch, Christian Gumbsch, Birgit Elsner, Martin V. Butz
2024	B	`conf`	Quick and Accurate Affordance Learning. CogSci Fedor Scholz, Erik Ayari, Johannes Bertram, Martin V. Butz
2024	J	`jnl`	Quick and Accurate Affordance Learning. CoRR Fedor Scholz, Erik Ayari, Johannes Bertram, Martin V. Butz
2023	J	`jnl`	Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh. CoRR Matthias Karlbauer, Nathaniel Cresswell-Clay, Raul A. Moreno, Dale R. Durran, Thorsten Kurth, Martin V. Butz
2023	J	`jnl`	Extending the Omniglot Challenge: Imitating Handwriting Styles on a New Sequential Data Set. IEEE Trans. Cogn. Dev. Syst. Sarah Fabi, Sebastian Otte, Fedor Scholz, Julius Wührer, Matthias Karlbauer, Martin V. Butz
2023	J	`jnl`	Inductive biases in deep learning models for weather prediction. CoRR Jannik Thümmel, Matthias Karlbauer, Sebastian Otte, Christiane Zarfl, Georg Martius, Nicole Ludwig, Thomas Scholten, Ulrich Friedrich, Volker Wulfmeyer, Bedartha Goswami, Martin V. Butz
2023	A*	`conf`	Learning What and Where: Disentangling Location and Identity Tracking Without Supervision. ICLR Manuel Traub, Sebastian Otte, Tobias Menge, Matthias Karlbauer, Jannik Thümmel, Martin V. Butz
2023	J	`jnl`	Loci-Segmented: Improving Scene Segmentation Learning. CoRR Manuel Traub, Frederic Becker, Adrian Sauter, Sebastian Otte, Martin V. Butz
2023	J	`jnl`	Looping LOCI: Developing Object Permanence from Videos. CoRR Manuel Traub, Frederic Becker, Sebastian Otte, Martin V. Butz
2023	J	`jnl`	Physical Domain Reconstruction with Finite Volume Neural Networks. Appl. Artif. Intell. Cosku Can Horuz, Matthias Karlbauer, Timothy Praditia, Martin V. Butz, Sergey Oladyshkin, Wolfgang Nowak, Sebastian Otte
2022	J	`jnl`	A cognitive definition of computational thinking in primary education. Comput. Educ. Katerina Tsarava, Korbinian Moeller, Marcos Román-González, Jessika Golle, Luzia Leifheit, Martin V. Butz, Manuel Ninaus
2022	—	`conf`	Binding Dancers Into Attractors. ICDL Franziska Kaltenberger, Sebastian Otte, Martin V. Butz
2022	J	`jnl`	Binding Dancers Into Attractors. CoRR Franziska Kaltenberger, Sebastian Otte, Martin V. Butz
2022	A*	`conf`	Composing Partial Differential Equations with Physics-Aware Neural Networks. ICML Matthias Karlbauer, Timothy Praditia, Sebastian Otte, Sergey Oladyshkin, Wolfgang Nowak, Martin V. Butz
2022	—	`conf`	Developing hierarchical anticipations via neural network-based event segmentation. ICDL Christian Gumbsch, Maurits Adam, Birgit Elsner, Georg Martius, Martin V. Butz
2022	J	`jnl`	Developing hierarchical anticipations via neural network-based event segmentation. CoRR Christian Gumbsch, Maurits Adam, Birgit Elsner, Georg Martius, Martin V. Butz
2022	B	`conf`	Efficient learning through compositionality in a CNN-RNN model consisting of a bottom-up and a top-down pathway. CogSci Sarah Fabi, Lena Holzwarth, Martin V. Butz
2022	J	`jnl`	Inference of Affordances and Active Motor Control in Simulated Agents. CoRR Fedor Scholz, Christian Gumbsch, Sebastian Otte, Martin V. Butz
2022	J	`jnl`	Inference of affordances and active motor control in simulated agents. Frontiers Neurorobotics Fedor Scholz, Christian Gumbsch, Sebastian Otte, Martin V. Butz
2022	J	`jnl`	Inference of time series components by online co-evolution. Genet. Program. Evolvable Mach. Danil Koryakin, Sebastian Otte, Martin V. Butz
2022	—	`conf`	Infering Boundary Conditions in Finite Volume Neural Networks. ICANN (1) Cosku Can Horuz, Matthias Karlbauer, Timothy Praditia, Martin V. Butz, Sergey Oladyshkin, Wolfgang Nowak, Sebastian Otte
2022	J	`jnl`	Intelligent problem-solving as integrated hierarchical reinforcement learning. CoRR Manfred Eppe, Christian Gumbsch, Matthias Kerzel, Phuong D. H. Nguyen, Martin V. Butz, Stefan Wermter
2022	J	`jnl`	Intelligent problem-solving as integrated hierarchical reinforcement learning. Nat. Mach. Intell. Manfred Eppe, Christian Gumbsch, Matthias Kerzel, Phuong D. H. Nguyen, Martin V. Butz, Stefan Wermter
2022	J	`jnl`	Learning What and Where - Unsupervised Disentangling Location and Identity Tracking. CoRR Manuel Traub, Sebastian Otte, Tobias Menge, Matthias Karlbauer, Jannik Thümmel, Martin V. Butz
2022	B	`conf`	Understanding of Linguistic Scales in Speakers with Williams Syndrome. CogSci Asya Achimova, Julien Musolino, Rennie Pasquinelli, Martin V. Butz, Barbara Landau
2021	J	`jnl`	Autonomous Identification and Goal-Directed Invocation of Event-Predictive Behavioral Primitives. IEEE Trans. Cogn. Dev. Syst. Christian Gumbsch, Martin V. Butz, Georg Martius
2021	—	`conf`	Binding and Perspective Taking as Inference in a Generative Neural Network Model. ICANN (3) Mahdi Sadeghi, Fabian Schrodt, Sebastian Otte, Martin V. Butz
2021	B	`conf`	Can Action Bias the Perception of Ambiguous Auditory Stimuli? CogSci Johannes Lohmann, Martin V. Butz
2021	J	`jnl`	Composing Partial Differential Equations with Physics-Aware Neural Networks. CoRR Matthias Karlbauer, Timothy Praditia, Sebastian Otte, Sergey Oladyshkin, Wolfgang Nowak, Martin V. Butz
2021	—	`conf`	Dynamic Action Inference with Recurrent Spiking Neural Networks. ICANN (5) Manuel Traub, Martin V. Butz, Robert Legenstein, Sebastian Otte
2021	J	`jnl`	Emergent Goal-Anticipatory Gaze in Infants via Event-Predictive Learning and Inference. Cogn. Sci. Christian Gumbsch, Maurits Adam, Birgit Elsner, Martin V. Butz
2021	J	`jnl`	Event-Predictive Cognition: A Root for Conceptual Human Thought. Top. Cogn. Sci. Martin V. Butz, Asya Achimova, David K. Bilkey, Alistair Knott
2021	J	`jnl`	Finite Volume Neural Network: Modeling Subsurface Contaminant Transport. CoRR Timothy Praditia, Matthias Karlbauer, Sebastian Otte, Sergey Oladyshkin, Martin V. Butz, Wolfgang Nowak
2021	—	`conf`	Fostering Compositionality in Latent, Generative Encodings to Solve the Omniglot Challenge. ICANN (2) Sarah Fabi, Sebastian Otte, Martin V. Butz
2021	—	`conf`	Gestalt Perception of Biological Motion: A Generative Artificial Neural Network Model. ICDL Mahdi Sadeghi, Fabian Schrodt, Sebastian Otte, Martin V. Butz
2021	B	`conf`	I see where this is going: Modeling the development of infants' goal-predictive gaze. CogSci Christian Gumbsch, Maurits Adam, Birgit Elsner, Martin V. Butz
2021	B	`conf`	Latent Event-Predictive Encodings through Counterfactual Regularization. CogSci Dania Humaidan, Sebastian Otte, Christian Gumbsch, Charley M. Wu, Martin V. Butz
2021	J	`jnl`	Latent Event-Predictive Encodings through Counterfactual Regularization. CoRR Dania Humaidan, Sebastian Otte, Christian Gumbsch, Charley M. Wu, Martin V. Butz
2021	—	`conf`	Latent State Inference in a Spatiotemporal Generative Model. ICANN (4) Matthias Karlbauer, Tobias Menge, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz
2021	—	`conf`	Learn It First: Grounding Language in Compositional Event-Predictive Encodings. ICDL Christian Stegemann-Philipps, Martin V. Butz
2021	B	`conf`	Modeling the Anticipatory Remapping of Spatial Body Representations: A Free Energy Approach. CogSci Patrick Weigert, Johannes Lohmann, Martin V. Butz
2021	—	`conf`	Signal Denoising with Recurrent Spiking Neural Networks and Active Tuning. ICANN (5) Melvin Ciurletti, Manuel Traub, Matthias Karlbauer, Martin V. Butz, Sebastian Otte
2021	A*	`conf`	Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains. NeurIPS Christian Gumbsch, Martin V. Butz, Georg Martius
2021	J	`jnl`	Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains. CoRR Christian Gumbsch, Martin V. Butz, Georg Martius
2021	B	`conf`	Speakers Use More Informative Referring Expressions to Describe Surprising Events. CogSci Christian Stegemann-Philipps, Martin V. Butz, Susanne Winkler, Asya Achimova
2021	J	`jnl`	Towards Strong AI. Künstliche Intell. Martin V. Butz
2020	B	`conf`	A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction. ESANN Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz
2020	J	`jnl`	Active Tuning. CoRR Sebastian Otte, Matthias Karlbauer, Martin V. Butz
2020	B	`conf`	Bayesian inference in dialogue. CogSci Asya Achimova, Ella I. Eisemann, Martin V. Butz
2020	J	`jnl`	Binding and Perspective Taking as Inference in a Generative Neural Network Model. CoRR Mahdi Sadeghi, Fabian Schrodt, Sebastian Otte, Martin V. Butz
2020	—	`conf`	Fostering Event Compression Using Gated Surprise. ICANN (1) Dania Humaidan, Sebastian Otte, Martin V. Butz
2020	J	`jnl`	Fostering Event Compression using Gated Surprise. CoRR Dania Humaidan, Sebastian Otte, Martin V. Butz
2020	B	`conf`	Hands in Thought and Motion. CogSci Johannes Lohmann, Martin V. Butz
2020	J	`jnl`	Hidden Latent State Inference in a Spatio-Temporal Generative Model. CoRR Matthias Karlbauer, Tobias Menge, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz
2020	J	`jnl`	Hierarchical principles of embodied reinforcement learning: A review. CoRR Manfred Eppe, Christian Gumbsch, Matthias Kerzel, Phuong D. H. Nguyen, Martin V. Butz, Stefan Wermter
2020	—	`conf`	Inferring, Predicting, and Denoising Causal Wave Dynamics. ICANN (1) Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz
2020	J	`jnl`	Inferring, Predicting, and Denoising Causal Wave Dynamics. CoRR Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz
2020	—	`conf`	Investigating Efficient Learning and Compositionality in Generative LSTM Networks. ICANN (1) Sarah Fabi, Sebastian Otte, Jonas Gregor Wiese, Martin V. Butz
2020	J	`jnl`	Investigating Efficient Learning and Compositionality in Generative LSTM Networks. CoRR Sarah Fabi, Sebastian Otte, Jonas Gregor Wiese, Martin V. Butz
2020	—	`conf`	Learning Precise Spike Timings with Eligibility Traces. ICANN (2) Manuel Traub, Martin V. Butz, R. Harald Baayen, Sebastian Otte
2020	J	`jnl`	Learning Precise Spike Timings with Eligibility Traces. CoRR Manuel Traub, Martin V. Butz, R. Harald Baayen, Sebastian Otte
2020	B	`conf`	Sequence Classification using Ensembles of Recurrent Generative Expert Modules. ESANN Marius Hobbhahn, Martin V. Butz, Sarah Fabi, Sebastian Otte
2019	J	`jnl`	A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction. CoRR Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz
2019	J	`jnl`	Autonomous Identification and Goal-Directed Invocation of Event-Predictive Behavioral Primitives. CoRR Christian Gumbsch, Martin V. Butz, Georg Martius
2019	—	`conf`	Cognitive Correlates of Computational Thinking: Evaluation of a Blended Unplugged/Plugged-In Course. WiPSCE Katerina Tsarava, Luzia Leifheit, Manuel Ninaus, Marcos Román-González, Martin V. Butz, Jessika Golle, Ulrich Trautwein, Korbinian Moeller
2019	—	`conf`	Gradient-Based Learning of Compositional Dynamics with Modular RNNs. ICANN (1) Sebastian Otte, Patricia Rubisch, Martin V. Butz
2019	—	`conf`	Incorporating Adaptive RNN-Based Action Inference and Sensory Perception. ICANN (4) Sebastian Otte, Jakob Stoll, Martin V. Butz
2019	—	`conf`	Inferring Event-Predictive Goal-Directed Object Manipulations in REPRISE. ICANN (1) Martin V. Butz, Tobias Menge, Dania Humaidan, Sebastian Otte
2019	J	`jnl`	Learning, planning, and control in a monolithic neural event inference architecture. Neural Networks Martin V. Butz, David K. Bilkey, Dania Humaidan, Alistair Knott, Sebastian Otte
2019	B	`conf`	On the purpose of ambiguous utterances. CogSci Gregory Scontras, Asya Achimova, Christian Stegemann, Martin V. Butz
2019	B	`conf`	Unflinching Predictions: Anticipatory Crossmodal Interactions are Unaffected by the Current Hand Posture. CogSci Johannes Lohmann, Martin V. Butz
2018	B	`conf`	Are you Sure How to Move? Expected Uncertainty Modulates Anticipatory Crossmodal Interactions. CogSci Johannes Lohmann, Anna Belardinelli, Martin V. Butz
2018	—	`conf`	Integrative Collision Avoidance Within RNN-Driven Many-Joint Robot Arms. ICANN (3) Sebastian Otte, Lea Hofmaier, Martin V. Butz
2018	A*	`conf`	Knowledge Spaces in VR: Intuitive Interfacing with a Multiperspective Hypermedia Environment. VR Peter Gerjets, Martin Lachmair, Martin V. Butz, Johannes Lohmann
2018	—	`conf`	Learning to Reproduce Visually Similar Movements by Minimizing Event-Based Prediction Error. BioRob Jacques Kaiser, Svenja Melbaum, Juan Camilo Vasquez Tieck, Arne Roennau, Martin V. Butz, Rüdiger Dillmann
2018	J	`jnl`	Learning, Planning, and Control in a Monolithic Neural Event Inference Architecture. CoRR Martin V. Butz, David K. Bilkey, Dania Humaidan, Alistair Knott, Sebastian Otte
2018	B	`conf`	REPRISE: A Retrospective and Prospective Inference Scheme. CogSci Martin V. Butz, David K. Bilkey, Alistair Knott, Sebastian Otte
2018	B	`conf`	Symposium on Event Predictive Cognition. CogSci Martin V. Butz, Alistair Knott
2017	B	`conf`	A Computational Model for the Dynamical Learning of Event Taxonomies. CogSci Christian Gumbsch, Sebastian Otte, Martin V. Butz
2017	B	`conf`	Anticipatory Active Inference from Learned Recurrent Neural Forward Models. CogSci Sebastian Otte, Theresa Schmitt, Martin V. Butz
2017	B	`conf`	Game-XP: Action Games as Cognitive Science Paradigms. CogSci Wayne D. Gray, Ray S. Perez, Martin V. Butz, Stuart Reeves, Matthew Sangster, Tom Stafford, Fernand Gobet
2017	B	`conf`	Grasping Multisensory Integration: Proprioceptive Capture after Virtual Object Interactions. CogSci Johannes Lohmann, Jakob Gütschow, Martin V. Butz
2017	—	`conf`	Inferring Adaptive Goal-Directed Behavior Within Recurrent Neural Networks. ICANN (1) Sebastian Otte, Theresa Schmitt, Karl J. Friston, Martin V. Butz
2017	—	`conf`	Inherently Constraint-Aware Control of Many-Joint Robot Arms with Inverse Recurrent Models. ICANN (1) Sebastian Otte, Adrian Zwiener, Martin V. Butz
2017	B	`conf`	Learning Temporal Generative Neural Codes for Biological Motion Perception and Inference. CogSci Fabian Schrodt, Martin V. Butz
2017	J	`jnl`	Lost in space: multisensory conflict yields adaptation in spatial representations across frames of reference. Cogn. Process. Johannes Lohmann, Martin V. Butz
2017	J	`jnl`	Mario Becomes Cognitive. Top. Cogn. Sci. Fabian Schrodt, Jan Kneissler, Stephan Ehrenfeld, Martin V. Butz
2017	B	`conf`	Projecting space into the future: peripersonal space remaps in anticipation of an object manipulation. CogSci Anna Belardinelli, Johannes Lohmann, Martin V. Butz
2017	B	`conf`	Reference Systems in Spatial Memory for Vertical Locations. CogSci Thomas Hinterecker, Caroline Leroy, Maximilian E. Kirschhock, Mintao Zhao, Martin V. Butz, Heinrich H. Bülthoff, Tobias Meilinger
2016	—	`conf`	An Event-Schematic, Cooperative, Cognitive Architecture Plays Super Mario. EUCognition Fabian Schrodt, Yves Röhm, Martin V. Butz
2016	J	`jnl`	Behavioral Bias for Food Reflected in Hand Movements: A Preliminary Study with Healthy Subjects. Cyberpsychology Behav. Soc. Netw. Philipp A. Schroeder, Johannes Lohmann, Martin V. Butz, Christian Plewnia
2016	B	`conf`	Human-object interaction understanding without objects. CogSci Anna Belardinelli, Johannes Lohmann, Martin V. Butz
2016	B	`conf`	Is it Living? Insights from Modeling Event-Oriented, Self-Motivated, Acting, Learning and Conversing Game Agents. CogSci Martin V. Butz, Mihael Simonic, Marcel Binz, Jonas Einig, Stephan Ehrenfeld, Fabian Schrodt
2016	J	`jnl`	Just Imagine! Learning to Emulate and Infer Actions with a Stochastic Generative Architecture. Frontiers Robotics AI Fabian Schrodt, Martin V. Butz
2016	B	`conf`	Learning Behavior-Grounded Event Segmentations. CogSci Christian Gumbsch, Jan Kneissler, Martin V. Butz
2016	A	`conf`	Learning where to search using visual attention. IROS Alina Kloss, Daniel Kappler, Hendrik P. A. Lensch, Martin V. Butz, Stefan Schaal, Jeannette Bohg
2016	J	`jnl`	Optimizing recurrent reservoirs with neuro-evolution. Neurocomputing Sebastian Otte, Martin V. Butz, Danil Koryakin, Fabian Becker, Marcus Liwicki, Andreas Zell
2016	J	`jnl`	Outline of a sensory-motor perspective on intrinsically moral agents. Adapt. Behav. Christian Balkenius, Lola Cañamero, Philip Pärnamets, Birger Johansson, Martin V. Butz, Andreas Olsson
2015	B	`conf`	An Automatized Heider-Simmel Story Generation Tool. CogSci Martin V. Butz, Robert Geirhos, Jan Kneissler
2015	J	`jnl`	Embodied learning of a generative neural model for biological motion perception and inference. Frontiers Comput. Neurosci. Fabian Schrodt, Georg Layher, Heiko Neumann, Martin V. Butz
2015	B	`conf`	It's all in the eye: multiple orders of motor planning in gaze control. CogSci Anna Belardinelli, Martin V. Butz
2015	—	`ch.`	Learning Classifier Systems. Handbook of Computational Intelligence Martin V. Butz
2015	B	`conf`	Learning Recurrent Dynamics using Differential Evolution. ESANN Sebastian Otte, Fabian Becker, Martin V. Butz, Marcus Liwicki, Andreas Zell
2015	J	`jnl`	Simultaneous Learning and Filtering without Delusions: A Bayes-Optimal Derivation of Combining Predictive Inference and Adaptive Filtering. Frontiers Comput. Neurosci. Jan Kneissler, Jan Drugowitsch, Karl J. Friston, Martin V. Butz
2014	J	`jnl`	Filtering Sensory Information with XCSF: Improving Learning Robustness and Robot Arm Control Performance. Evol. Comput. Jan Kneissler, Patrick O. Stalph, Jan Drugowitsch, Martin V. Butz
2014	C	`conf`	Learning Spatial Transformations Using Structured Gain-Field Networks. ICANN Jan Kneissler, Martin V. Butz
2014	B	`conf`	Modeling Perspective-Taking by Correlating Visual and Proprioceptive Dynamics. CogSci Fabian Schrodt, Georg Layher, Heiko Neumann, Martin V. Butz
2014	B	`conf`	Modeling Simultanagnosia. CogSci Anna Belardinelli, Johannes Kurz, Esther Kutter, Heiko Neumann, Hans-Otto Karnath, Martin V. Butz
2014	—	`conf`	Modeling perspective-taking upon observation of 3D biological motion. ICDL-EPIROB Fabian Schrodt, Georg Layher, Heiko Neumann, Martin V. Butz
2014	J	`jnl`	Report on the Thirty-Fifth Annual Cognitive Science Conference. AI Mag. Anna Belardinelli, Martin V. Butz
2013	—	`conf`	Fully Self-Supervised Learning of an Arm Model. LWA Martin V. Butz, Armin Gufler, Konstantin Schmid, Fabian Schrodt
2013	B	`conf`	Gaze strategies in object identification and manipulation. CogSci Anna Belardinelli, Martin V. Butz
2013	—	`conf`	Improved tracking and behavior anticipation by combining street map information with Bayesian-filtering. ITSC Andreas Alin, Jannik Fritsch, Martin V. Butz
2013	B	`conf`	Modeling Continuous Representations in Visual Working Memory. CogSci Johannes Lohmann, Martin V. Butz
2013	J	`jnl`	Modeling the temporal dynamics of visual working memory. Cogn. Syst. Res. Johannes Lohmann, Oliver Herbort, Martin V. Butz
2013	J	`jnl`	Modular neuron-based body estimation: maintaining consistency over different limbs, modalities, and frames of reference. Frontiers Comput. Neurosci. Stephan Ehrenfeld, Oliver Herbort, Martin V. Butz
2013	—	`ch.`	Modular, Multimodal Arm Control Models. Computational and Robotic Models of the Hierarchical Organization of Behavior Stephan Ehrenfeld, Oliver Herbort, Martin V. Butz
2013	—	`ch.`	Search in Real-Time Video Games. Artificial and Computational Intelligence in Games Peter I. Cowling, Michael Buro, Michal Bída, Adi Botea, Bruno Bouzy, Martin V. Butz, Philip Hingston, Hector Muñoz-Avila, Dana S. Nau, Moshe Sipper
2013	J	`jnl`	The modular modality frame model: continuous body state estimation and plausibility-weighted information fusion. Biol. Cybern. Stephan Ehrenfeld, Martin V. Butz
2012	A	`conf`	Autonomous failure detection and multimodal sensor fusion in a modular arm model. IROS Stephan Ehrenfeld, Martin V. Butz
2012	J	`jnl`	Balanced echo state networks. Neural Networks Danil Koryakin, Johannes Lohmann, Martin V. Butz
2012	A	`conf`	Filtering sensory information with XCSF: improving learning robustness and control performance. GECCO Jan Kneissler, Patrick O. Stalph, Jan Drugowitsch, Martin V. Butz
2012	J	`jnl`	Function approximation with LWPR and XCSF: a comparative study. Evol. Intell. Patrick O. Stalph, Jérémie Rubinsztajn, Olivier Sigaud, Martin V. Butz
2012	A	`conf`	Guided evolution in XCSF. GECCO Patrick O. Stalph, Martin V. Butz
2012	B	`conf`	Incorporating environmental knowledge into Bayesian filtering using attractor functions. Intelligent Vehicles Symposium Andreas Alin, Martin V. Butz, Jannik Fritsch
2012	J	`jnl`	Learning local linear Jacobians for flexible and adaptive robot arm control. Genet. Program. Evolvable Mach. Patrick O. Stalph, Martin V. Butz
2012	J	`jnl`	Modeling body state-dependent multisensory integration. Cogn. Process. Martin V. Butz, Anna Belardinelli, Stephan Ehrenfeld
2012	—	`conf`	Reservoir Sizes and Feedback Weights Interact Non-linearly in Echo State Networks. ICANN (1) Danil Koryakin, Martin V. Butz
2012	J	`jnl`	Resource management and scalability of the XCSF learning classifier system. Theor. Comput. Sci. Patrick O. Stalph, Xavier Llorà, David E. Goldberg, Martin V. Butz
2012	J	`jnl`	XCSF with local deletion: preventing detrimental forgetting. Evol. Intell. Martin V. Butz, Olivier Sigaud
2011	A*	`conf`	A modular, redundant, multi-frame of reference representation for kinematic chains. ICRA Stephan Ehrenfeld, Martin V. Butz
2011	J	`jnl`	Effective Racing on Partially Observable Tracks: Indirectly Coupling Anticipatory Egocentric Sensors With Motor Commands. IEEE Trans. Comput. Intell. AI Games Martin V. Butz, Matthias J. Linhardt, Thies D. Lönneker
2011	—	`conf`	Extracting adaptation strategies for e-learning programs with XCS. GECCO (Companion) Anke Endler, Martin V. Butz, Günter Daniel Rey
2011	—	`conf`	Learning classifier systems. GECCO (Companion) Martin V. Butz
2011	A	`conf`	Modularization of xcsf for multiple output dimensions. GECCO Martin V. Butz, Patrick O. Stalph
2011	J	`jnl`	Simultaneously emerging Braitenberg codes and compositionality. Adapt. Behav. Yuuya Sugita, Jun Tani, Martin V. Butz
2011	B	`conf`	Tracking moving vehicles using an advanced grid-based Bayesian filter approach. Intelligent Vehicles Symposium Andreas Alin, Martin V. Butz, Jannik Fritsch
2011	—	`conf`	XCSF with local deletion: preventing detrimental forgetting. GECCO (Companion) Martin V. Butz, Olivier Sigaud
2010	—	`conf`	A comparative study: function approximation with LWPR and XCSF. GECCO (Companion) Patrick O. Stalph, Jérémie Rubinsztajn, Olivier Sigaud, Martin V. Butz
2010	A	`conf`	Evolving robust controller parameters using covariance matrix adaptation. GECCO Gerulf K. M. Pedersen, Martin V. Butz
2010	—	`ed.`	Learning Classifier Systems - 11th International Workshop, IWLCS 2008, Atlanta, GA, USA, July 13, 2008, and 12th International Workshop, IWLCS 2009, Montreal, QC, Canada, July 9, 2009, Revised Selected Papers IWLCS Jaume Bacardit, Will N. Browne, Jan Drugowitsch, Ester Bernadó-Mansilla, Martin V. Butz
2010	—	`conf`	Learning classifier systems. GECCO (Companion) Martin V. Butz
2010	J	`jnl`	Self-Organizing Sensorimotor Maps Plus Internal Motivations Yield Animal-Like Behavior. Adapt. Behav. Martin V. Butz, Elshad Shirinov, Kevin L. Reif
2010	J	`jnl`	The 2009 Simulated Car Racing Championship. IEEE Trans. Comput. Intell. AI Games Daniele Loiacono, Pier Luca Lanzi, Julian Togelius, Enrique Onieva, David A. Pelta, Martin V. Butz, Thies D. Lönneker, Luigi Cardamone, Diego Perez Liebana, Yago Sáez, Mike Preuss, Jan Quadflieg
2010	—	`ch.`	The SURE_REACH Model for Motor Learning and Control of a Redundant Arm: From Modeling Human Behavior to Applications in Robotics. From Motor Learning to Interaction Learning in Robots Oliver Herbort, Martin V. Butz, Gerulf K. M. Pedersen
2009	—	`ed.`	Anticipatory Behavior in Adaptive Learning Systems, From Psychological Theories to Artificial Cognitive Systems [4th Workshop on Anticipatory Behavior in Adaptive Learning Systems, ABiALS 2008, Munich, Germany, June 26-27, 2008] ABiALS Giovanni Pezzulo, Martin V. Butz, Olivier Sigaud, Gianluca Baldassarre
2009	Misc	`conf`	Controlling a Four Degree of Freedom Arm in 3D Using the XCSF Learning Classifier System. KI Patrick O. Stalph, Martin V. Butz, Gerulf K. M. Pedersen
2009	—	`conf`	Current XCSF Capabilities and Challenges. IWLCS Patrick O. Stalph, Martin V. Butz
2009	C	`conf`	Distinction between types of motivations: Emergent behavior with a neural, model-based reinforcement learning system. ALIFE Elshad Shirinov, Martin V. Butz
2009	—	`conf`	How Fitness Estimates Interact with Reproduction Rates: Towards Variable Offspring Set Sizes in XCSF. IWLCS Patrick O. Stalph, Martin V. Butz
2009	A	`conf`	Learning sensorimotor control structures with XCSF: redundancy exploitation and dynamic control. GECCO Martin V. Butz, Gerulf K. M. Pedersen, Patrick O. Stalph
2009	—	`conf`	NEAT in increasingly non-linear control situations. GECCO (Companion) Matthias J. Linhardt, Martin V. Butz
2009	A	`conf`	On the scalability of XCS(F). GECCO Patrick O. Stalph, Martin V. Butz, David E. Goldberg, Xavier Llorà
2009	—	`conf`	Optimized sensory-motor couplings plus strategy extensions for the TORCS car racing challenge. CIG Martin V. Butz, Thies D. Lönneker
2009	A	`conf`	Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap. GECCO Martin Pelikan, Kumara Sastry, David E. Goldberg, Martin V. Butz, Mark Hauschild
2009	J	`jnl`	Sequential problems that test generalization in learning classifier systems. Evol. Intell. Martin V. Butz, Pier Luca Lanzi
2009	Misc	`conf`	The Scared Robot: Motivations in a Simulated Robot Arm. KI Martin V. Butz, Gerulf K. M. Pedersen
2008	—	`conf`	Agent Learning Instead of Behavior Implementation for Simulations - A Case Study Using Classifier Systems. MATES Franziska Klügl, Reinhard Hatko, Martin V. Butz
2008	A	`conf`	An analysis of matching in learning classifier systems. GECCO Martin V. Butz, Pier Luca Lanzi, Xavier Llorà, Daniele Loiacono
2008	—	`conf`	Anticipatory Learning Classifier Systems and Factored Reinforcement Learning. ABiALS Olivier Sigaud, Martin V. Butz, Olga Kozlova, Christophe Meyer
2008	—	`ch.`	Anticipatory, Goal-Directed Behavior. The Challenge of Anticipation Martin V. Butz, Oliver Herbort, Giovanni Pezzulo
2008	—	`ch.`	Benefits of Anticipations in Cognitive Agents. The Challenge of Anticipation Martin V. Butz, Giovanni Pezzulo
2008	A	`conf`	Context-dependent predictions and cognitive arm control with XCSF. GECCO Martin V. Butz, Oliver Herbort
2008	—	`ch.`	Endowing Artificial Systems with Anticipatory Capabilities: Success Cases. The Challenge of Anticipation Giovanni Pezzulo, Martin V. Butz, Cristiano Castelfranchi, Rino Falcone, Gianluca Baldassarre, Christian Balkenius, Alexander Förster, Maurice Grinberg, Oliver Herbort, Kiril Kiryazov, Boicho N. Kokinov, Birger Johansson, Emilian Lalev, Emiliano Lorini, Carlos Martinho, Maria Miceli, Dimitri Ognibene, Ana Paiva, Georgi Petkov, Michele Piunti, Vin Thorsteinsdottir
2008	—	`conf`	From Sensorimotor to Higher-Level Cognitive Processes: An Introduction to Anticipatory Behavior Systems. ABiALS Giovanni Pezzulo, Martin V. Butz, Olivier Sigaud, Gianluca Baldassarre
2008	J	`jnl`	Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction. IEEE Trans. Evol. Comput. Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
2008	—	`ch.`	Introduction: Anticipation in Natural and Artificial Cognition. The Challenge of Anticipation Giovanni Pezzulo, Martin V. Butz, Cristiano Castelfranchi, Rino Falcone
2008	—	`ed.`	Learning Classifier Systems, 10th International Workshop, IWLCS 2006, Seattle, MA, USA, July 8, 2006 and 11th International Workshop, IWLCS 2007, London, UK, July 8, 2007, Revised Selected Papers IWLCS Jaume Bacardit, Ester Bernadó-Mansilla, Martin V. Butz, Tim Kovacs, Xavier Llorà, Keiki Takadama
2008	—	`conf`	Learning classifier systems. GECCO (Companion) Martin V. Butz
2008	A	`conf`	Self-adaptive mutation in XCSF. GECCO Martin V. Butz, Patrick O. Stalph, Pier Luca Lanzi
2008	J	`jnl`	Sensomotorische Raumrepräsentationen. Inform. Spektrum Martin V. Butz
2008	—	`ch.`	The Anticipatory Approach: Definitions and Taxonomies. The Challenge of Anticipation Giovanni Pezzulo, Martin V. Butz, Cristiano Castelfranchi
2008	—	`book`	The Challenge of Anticipation, A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems The Challenge of Anticipation Giovanni Pezzulo, Martin V. Butz, Cristiano Castelfranchi, Rino Falcone
2008	—	`conf`	Towards increasing learning speed and robustness of XCSF: experimenting with larger offspring set sizes. GECCO (Companion) Patrick O. Stalph, Martin V. Butz
2007	—	`ed.`	Anticipatory Behavior in Adaptive Learning Systems, From Brains to Individual and Social Behavior [the book is a result from the third workshop on anticipatory behavior in adaptive learning systems, ABiALS 2006, Rome, Italy, September 30, 2006, colocated with SAB 2006] ABiALS book Martin V. Butz, Olivier Sigaud, Giovanni Pezzulo, Gianluca Baldassarre
2007	C	`conf`	Combining Gradient-Based With Evolutionary Online Learning: An Introduction to Learning Classifier Systems. HIS Martin V. Butz
2007	B	`conf`	Emergent Effector-Independent Internal Spaces: Adaptation and Intermanual Learning Transfer in Humans and Neural Networks. IJCNN Martin V. Butz, Alexandra Lenhard, Oliver Herbort
2007	A	`conf`	Empirical analysis of generalization and learning in XCS with gradient descent. GECCO Pier Luca Lanzi, Martin V. Butz, David E. Goldberg
2007	B	`conf`	Encoding Complete Body Models Enables Task Dependent Optimal Behavior. IJCNN Oliver Herbort, Martin V. Butz
2007	J	`jnl`	Explorations of anticipatory behavioral control (ABC): a report from the cognitive psychology unit of the University of Würzburg. Cogn. Process. Joachim Hoffmann, Michael Berner, Martin V. Butz, Oliver Herbort, Andrea Kiesel, Wilfried Kunde, Alexandra Lenhard
2007	—	`conf`	Learning Classifier Systems: Looking Back and Glimpsing Ahead. IWLCS Jaume Bacardit, Ester Bernadó-Mansilla, Martin V. Butz
2007	—	`conf`	Learning classifier systems. GECCO (Companion) Martin V. Butz
2007	J	`jnl`	Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity. Genet. Program. Evolvable Mach. Martin V. Butz, David E. Goldberg, Pier Luca Lanzi, Kumara Sastry
2006	—	`conf`	Anticipations, Brains, Individual and Social Behavior: An Introduction to Anticipatory Systems. SAB ABiALS Martin V. Butz, Olivier Sigaud, Giovanni Pezzulo, Gianluca Baldassarre
2006	J	`jnl`	Automated Global Structure Extraction for Effective Local Building Block Processing in XCS. Evol. Comput. Martin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg
2006	—	`ch.`	Effective and Reliable Online Classification Combining XCS with EDA Mechanisms. Scalable Optimization via Probabilistic Modeling Martin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg
2006	—	`conf`	From Actions to Goals and Vice-Versa: Theoretical Analysis and Models of the Ideomotor Principle and TOTE. SAB ABiALS Giovanni Pezzulo, Gianluca Baldassarre, Martin V. Butz, Cristiano Castelfranchi, Joachim Hoffmann
2006	A	`conf`	Hierarchical BOA on random decomposable problems. GECCO Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg
2006	A	`conf`	Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure. GECCO Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
2006	A	`conf`	Performance of Evolutionary Algorithms on Random Decomposable Problems. PPSN Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg
2006	—	`book`	Rule-Based Evolutionary Online Learning Systems - A Principled Approach to LCS Analysis and Design Martin V. Butz
2006	A	`conf`	Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions. GECCO Martin V. Butz, Martin Pelikan
2006	A	`conf`	Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm. PPSN Cláudio F. Lima, Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg, Fernando G. Lobo
2005	C	`conf`	Analysis and Evaluation of Learning Classifier Systems applied to Hyperspectral Image Classification. ISDA Arnaud Quirin, Jerzy Korczak, Martin V. Butz, David E. Goldberg
2005	—	`conf`	Data Mining in Learning Classifier Systems: Comparing XCS with GAssist. IWLCS Jaume Bacardit, Martin V. Butz
2005	—	`conf`	Effect of Pure Error-Based Fitness in XCS. IWLCS Martin V. Butz, David E. Goldberg, Pier Luca Lanzi
2005	A	`conf`	Extracted global structure makes local building block processing effective in XCS. GECCO Martin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg
2005	J	`jnl`	Gradient descent methods in learning classifier systems: improving XCS performance in multistep problems. IEEE Trans. Evol. Comput. Martin V. Butz, David E. Goldberg, Pier Luca Lanzi
2005	—	`conf`	Improving the Performance of a Pittsburgh Learning Classifier System Using a Default Rule. IWLCS Jaume Bacardit, David E. Goldberg, Martin V. Butz
2005	A	`conf`	Kernel-based, ellipsoidal conditions in the real-valued XCS classifier system. GECCO Martin V. Butz
2005	J	`jnl`	Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection. Genet. Program. Evolvable Mach. Martin V. Butz, Kumara Sastry, David E. Goldberg
2004	—	`conf`	Bounding Learning Time in XCS. GECCO (2) Martin V. Butz, David E. Goldberg, Pier Luca Lanzi
2004	—	`conf`	Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems. GECCO (2) Martin V. Butz, David E. Goldberg, Pier Luca Lanzi
2004	A	`conf`	Knowledge Extraction and Problem Structure Identification in XCS. PPSN Martin V. Butz, Pier Luca Lanzi, Xavier Llorà, David E. Goldberg
2004	—	`—`	Rule-Based Evolutionary Online Learning Systems: Learning Bounds, Classification, and Prediction Martin V. Butz
2004	A	`conf`	Speeding-Up Pittsburgh Learning Classifier Systems: Modeling Time and Accuracy. PPSN Jaume Bacardit, David E. Goldberg, Martin V. Butz, Xavier Llorà, Josep Maria Garrell i Guiu
2004	J	`jnl`	Toward a theory of generalization and learning in XCS. IEEE Trans. Evol. Comput. Martin V. Butz, Tim Kovacs, Pier Luca Lanzi, Stewart W. Wilson
2003	J	`jnl`	Analysis and Improvement of Fitness Exploitation in XCS: Bounding Models, Tournament Selection, and Bilateral Accuracy. Evol. Comput. Martin V. Butz, David E. Goldberg, Kurian K. Tharakunnel
2003	—	`ed.`	Anticipatory Behavior in Adaptive Learning Systems, Foundations, Theories, and Systems ABiALS Martin V. Butz, Olivier Sigaud, Pierre Gérard
2003	—	`conf`	Anticipatory Behavior: Exploiting Knowledge About the Future to Improve Current Behavior. ABiALS Martin V. Butz, Olivier Sigaud, Pierre Gérard
2003	B	`conf`	Bidirectional ARTMAP: an artificial mirror neuron system. IJCNN Martin V. Butz, Sylvian R. Ray
2003	A	`conf`	Bounding the Population Size in XCS to Ensure Reproductive Opportunities. GECCO Martin V. Butz, David E. Goldberg
2003	—	`conf`	Generalized State Values in an Anticipatory Learning Classifier System. ABiALS Martin V. Butz, David E. Goldberg
2003	—	`conf`	Internal Models and Anticipations in Adaptive Learning Systems. ABiALS Martin V. Butz, Olivier Sigaud, Pierre Gérard
2003	A	`conf`	Tournament Selection: Stable Fitness Pressure in XCS. GECCO Martin V. Butz, Kumara Sastry, David E. Goldberg
2003	A	`conf`	Towards Building Block Propagation in XCS: A Negative Result and Its Implications. GECCO Kurian K. Tharakunnel, Martin V. Butz, David E. Goldberg
2002	J	`jnl`	An algorithmic description of XCS. Soft Comput. Martin V. Butz, Stewart W. Wilson
2002	J	`jnl`	Anticipations Control Behavior: Animal Behavior in an Anticipatory Learning Classifier System. Adapt. Behav. Martin V. Butz, Joachim Hoffmann
2001	—	`conf`	An Algorithmic Description of ACS2. IWLCS Martin V. Butz, Wolfgang Stolzmann
2001	—	`conf`	Biasing Exploration in an Anticipatory Learning Classifier System. IWLCS Martin V. Butz
2000	—	`conf`	An Algorithmic Description of XCS. IWLCS Martin V. Butz, Stewart W. Wilson
2000	A	`conf`	Introducing a Genetic Generalization Pressure to the Anticipatory Classifier System - Part 1: Theoretical approach. GECCO Martin V. Butz, David E. Goldberg, Wolfgang Stolzmann
2000	A	`conf`	Investigating Generalization in the Anticipatory Classifier System. PPSN Martin V. Butz, David E. Goldberg, Wolfgang Stolzmann
2000	—	`conf`	Probability-Enhanced Predictions in the Anticipatory Classifier System. IWLCS Martin V. Butz, David E. Goldberg, Wolfgang Stolzmann
1999	—	`conf`	Latent Learning and Action Planning in Robots with Anticipatory Classifier Systems. Learning Classifier Systems Wolfgang Stolzmann, Martin V. Butz