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ORCIDMartin V. Butz
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- affiliation: Eberhard Karls University of Tübingen, Wilhelm Schickard Institute for Computer Science, Germany
- affiliation: University of Würzburg, Department of Cognitive Psychology, Germany
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2020 – today
- 2024
[j47]Nadine Koch
, Johannes Lohmann, Martin V. Butz, Hans-Christoph Nuerk:
Embodied magnitude processing: On the relation between the SNARC effect and perceived reachability. J. Numer. Cogn. 10 (2024)- [c136]Manuel Traub, Frederic Becker, Adrian Sauter, Sebastian Otte, Martin V. Butz:
Loci-Segmented: Improving Scene Segmentation Learning. ICANN (3) 2024: 45-61 - [c135]Manuel Traub, Frederic Becker, Sebastian Otte, Martin V. Butz:
Learning Object Permanence from Videos via Latent Imaginations. ICANN (3) 2024: 223-240 - [c134]Christian Gumbsch, Noor Sajid, Georg Martius, Martin V. Butz:
Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics. ICLR 2024 - [i25]Fedor Scholz, Erik Ayari, Johannes Bertram, Martin V. Butz:
Quick and Accurate Affordance Learning. CoRR abs/2405.07816 (2024) - 2023
- [j46]Cosku Can Horuz, Matthias Karlbauer, Timothy Praditia, Martin V. Butz, Sergey Oladyshkin, Wolfgang Nowak, Sebastian Otte:
Physical Domain Reconstruction with Finite Volume Neural Networks. Appl. Artif. Intell. 37(1) (2023) - [j45]Sarah Fabi, Sebastian Otte, Fedor Scholz, Julius Wührer, Matthias Karlbauer, Martin V. Butz:
Extending the Omniglot Challenge: Imitating Handwriting Styles on a New Sequential Data Set. IEEE Trans. Cogn. Dev. Syst. 15(2): 896-903 (2023) - [c133]Manuel Traub, Sebastian Otte, Tobias Menge, Matthias Karlbauer, Jannik Thümmel, Martin V. Butz:
Learning What and Where: Disentangling Location and Identity Tracking Without Supervision. ICLR 2023 - [i24]Jannik Thümmel, Matthias Karlbauer, Sebastian Otte, Christiane Zarfl, Georg Martius, Nicole Ludwig, Thomas Scholten, Ulrich Friedrich, Volker Wulfmeyer, Bedartha Goswami, Martin V. Butz:
Inductive biases in deep learning models for weather prediction. CoRR abs/2304.04664 (2023) - [i23]Manuel Traub, Frederic Becker, Sebastian Otte, Martin V. Butz:
Looping LOCI: Developing Object Permanence from Videos. CoRR abs/2310.10372 (2023) - [i22]Manuel Traub, Frederic Becker, Adrian Sauter, Sebastian Otte, Martin V. Butz:
Loci-Segmented: Improving Scene Segmentation Learning. CoRR abs/2310.10410 (2023) - [i21]Matthias Karlbauer, Nathaniel Cresswell-Clay, Raul A. Moreno, Dale R. Durran, Thorsten Kurth, Martin V. Butz:
Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh. CoRR abs/2311.06253 (2023) - 2022
- [j44]Katerina Tsarava, Korbinian Moeller, Marcos Román-González, Jessika Golle, Luzia Leifheit, Martin V. Butz, Manuel Ninaus:
A cognitive definition of computational thinking in primary education. Comput. Educ. 179: 104425 (2022) - [j43]Fedor Scholz, Christian Gumbsch, Sebastian Otte, Martin V. Butz:
Inference of affordances and active motor control in simulated agents. Frontiers Neurorobotics 16 (2022) - [j42]Danil Koryakin, Sebastian Otte, Martin V. Butz:
Inference of time series components by online co-evolution. Genet. Program. Evolvable Mach. 23(1): 7-35 (2022) - [j41]Manfred Eppe, Christian Gumbsch, Matthias Kerzel, Phuong D. H. Nguyen, Martin V. Butz, Stefan Wermter:
Intelligent problem-solving as integrated hierarchical reinforcement learning. Nat. Mach. Intell. 4(1): 11-20 (2022) - [c132]Asya Achimova, Julien Musolino, Rennie Pasquinelli, Martin V. Butz, Barbara Landau:
Understanding of Linguistic Scales in Speakers with Williams Syndrome. CogSci 2022 - [c131]Sarah Fabi, Lena Holzwarth, Martin V. Butz:
Efficient learning through compositionality in a CNN-RNN model consisting of a bottom-up and a top-down pathway. CogSci 2022 - [c130]Cosku Can Horuz, Matthias Karlbauer, Timothy Praditia, Martin V. Butz, Sergey Oladyshkin, Wolfgang Nowak, Sebastian Otte:
Infering Boundary Conditions in Finite Volume Neural Networks. ICANN (1) 2022: 538-549 - [c129]Christian Gumbsch, Maurits Adam, Birgit Elsner, Georg Martius, Martin V. Butz:
Developing hierarchical anticipations via neural network-based event segmentation. ICDL 2022: 1-8 - [c128]Franziska Kaltenberger, Sebastian Otte, Martin V. Butz:
Binding Dancers Into Attractors. ICDL 2022: 127-134 - [c127]Matthias Karlbauer, Timothy Praditia, Sebastian Otte, Sergey Oladyshkin, Wolfgang Nowak, Martin V. Butz:
Composing Partial Differential Equations with Physics-Aware Neural Networks. ICML 2022: 10773-10801 - [d2]Timothy Praditia, Matthias Karlbauer, Sebastian Otte, Sergey Oladyshkin, Martin V. Butz, Wolfgang Nowak:
Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network. DaRUS, 2022
- [d1]Timothy Praditia, Matthias Karlbauer, Sebastian Otte, Sergey Oladyshkin, Martin V. Butz, Wolfang Nowak:
Finite Volume Neural Network. Zenodo, 2022 - [i20]Fedor Scholz, Christian Gumbsch, Sebastian Otte, Martin V. Butz:
Inference of Affordances and Active Motor Control in Simulated Agents. CoRR abs/2202.11532 (2022) - [i19]Manuel Traub, Sebastian Otte, Tobias Menge, Matthias Karlbauer, Jannik Thümmel, Martin V. Butz:
Learning What and Where - Unsupervised Disentangling Location and Identity Tracking. CoRR abs/2205.13349 (2022) - [i18]Christian Gumbsch, Maurits Adam, Birgit Elsner, Georg Martius, Martin V. Butz:
Developing hierarchical anticipations via neural network-based event segmentation. CoRR abs/2206.02042 (2022) - [i17]Franziska Kaltenberger, Sebastian Otte, Martin V. Butz:
Binding Dancers Into Attractors. CoRR abs/2206.02558 (2022) - [i16]Manfred Eppe, Christian Gumbsch, Matthias Kerzel, Phuong D. H. Nguyen, Martin V. Butz, Stefan Wermter:
Intelligent problem-solving as integrated hierarchical reinforcement learning. CoRR abs/2208.08731 (2022) - 2021
- [j40]Christian Gumbsch, Maurits Adam, Birgit Elsner, Martin V. Butz:
Emergent Goal-Anticipatory Gaze in Infants via Event-Predictive Learning and Inference. Cogn. Sci. 45(8) (2021) - [j39]Martin V. Butz:
Towards Strong AI. Künstliche Intell. 35(1): 91-101 (2021) - [j38]Christian Gumbsch, Martin V. Butz, Georg Martius:
Autonomous Identification and Goal-Directed Invocation of Event-Predictive Behavioral Primitives. IEEE Trans. Cogn. Dev. Syst. 13(2): 298-311 (2021) - [j37]Martin V. Butz, Asya Achimova, David K. Bilkey, Alistair Knott:
Event-Predictive Cognition: A Root for Conceptual Human Thought. Top. Cogn. Sci. 13(1): 10-24 (2021) - [c126]Christian Gumbsch, Maurits Adam, Birgit Elsner, Martin V. Butz:
I see where this is going: Modeling the development of infants' goal-predictive gaze. CogSci 2021 - [c125]Dania Humaidan, Sebastian Otte, Christian Gumbsch, Charley M. Wu, Martin V. Butz:
Latent Event-Predictive Encodings through Counterfactual Regularization. CogSci 2021 - [c124]Johannes Lohmann, Martin V. Butz:
Can Action Bias the Perception of Ambiguous Auditory Stimuli? CogSci 2021 - [c123]Christian Stegemann-Philipps, Martin V. Butz, Susanne Winkler, Asya Achimova:
Speakers Use More Informative Referring Expressions to Describe Surprising Events. CogSci 2021 - [c122]Patrick Weigert, Johannes Lohmann, Martin V. Butz:
Modeling the Anticipatory Remapping of Spatial Body Representations: A Free Energy Approach. CogSci 2021 - [c121]Mahdi Sadeghi, Fabian Schrodt, Sebastian Otte, Martin V. Butz:
Binding and Perspective Taking as Inference in a Generative Neural Network Model. ICANN (3) 2021: 3-14 - [c120]Melvin Ciurletti, Manuel Traub, Matthias Karlbauer, Martin V. Butz, Sebastian Otte:
Signal Denoising with Recurrent Spiking Neural Networks and Active Tuning. ICANN (5) 2021: 220-232 - [c119]Manuel Traub, Martin V. Butz, Robert Legenstein, Sebastian Otte:
Dynamic Action Inference with Recurrent Spiking Neural Networks. ICANN (5) 2021: 233-244 - [c118]Matthias Karlbauer, Tobias Menge, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz:
Latent State Inference in a Spatiotemporal Generative Model. ICANN (4) 2021: 384-395 - [c117]Sarah Fabi, Sebastian Otte, Martin V. Butz:
Fostering Compositionality in Latent, Generative Encodings to Solve the Omniglot Challenge. ICANN (2) 2021: 525-536 - [c116]Mahdi Sadeghi, Fabian Schrodt, Sebastian Otte, Martin V. Butz:
Gestalt Perception of Biological Motion: A Generative Artificial Neural Network Model. ICDL 2021: 1-7 - [c115]Christian Stegemann-Philipps, Martin V. Butz:
Learn It First: Grounding Language in Compositional Event-Predictive Encodings. ICDL 2021: 1-6 - [c114]Christian Gumbsch, Martin V. Butz, Georg Martius:
Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains. NeurIPS 2021: 17518-17531 - [i15]Timothy Praditia, Matthias Karlbauer, Sebastian Otte, Sergey Oladyshkin, Martin V. Butz, Wolfgang Nowak:
Finite Volume Neural Network: Modeling Subsurface Contaminant Transport. CoRR abs/2104.06010 (2021) - [i14]Dania Humaidan, Sebastian Otte, Christian Gumbsch, Charley M. Wu, Martin V. Butz:
Latent Event-Predictive Encodings through Counterfactual Regularization. CoRR abs/2105.05894 (2021) - [i13]Christian Gumbsch, Martin V. Butz, Georg Martius:
Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains. CoRR abs/2110.15949 (2021) - [i12]Matthias Karlbauer, Timothy Praditia, Sebastian Otte, Sergey Oladyshkin, Wolfgang Nowak, Martin V. Butz:
Composing Partial Differential Equations with Physics-Aware Neural Networks. CoRR abs/2111.11798 (2021) - 2020
- [c113]Asya Achimova, Ella I. Eisemann, Martin V. Butz:
Bayesian inference in dialogue. CogSci 2020 - [c112]Johannes Lohmann, Martin V. Butz:
Hands in Thought and Motion. CogSci 2020 - [c111]Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz:
A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction. ESANN 2020: 303-308 - [c110]Marius Hobbhahn, Martin V. Butz, Sarah Fabi, Sebastian Otte:
Sequence Classification using Ensembles of Recurrent Generative Expert Modules. ESANN 2020: 333-338 - [c109]Sarah Fabi, Sebastian Otte, Jonas Gregor Wiese, Martin V. Butz:
Investigating Efficient Learning and Compositionality in Generative LSTM Networks. ICANN (1) 2020: 143-154 - [c108]Dania Humaidan, Sebastian Otte, Martin V. Butz:
Fostering Event Compression Using Gated Surprise. ICANN (1) 2020: 155-167 - [c107]Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz:
Inferring, Predicting, and Denoising Causal Wave Dynamics. ICANN (1) 2020: 566-577 - [c106]Manuel Traub, Martin V. Butz, R. Harald Baayen, Sebastian Otte:
Learning Precise Spike Timings with Eligibility Traces. ICANN (2) 2020: 659-669 - [i11]Sarah Fabi, Sebastian Otte, Jonas Gregor Wiese, Martin V. Butz:
Investigating Efficient Learning and Compositionality in Generative LSTM Networks. CoRR abs/2004.07754 (2020) - [i10]Dania Humaidan, Sebastian Otte, Martin V. Butz:
Fostering Event Compression using Gated Surprise. CoRR abs/2005.05704 (2020) - [i9]Manuel Traub, Martin V. Butz, R. Harald Baayen, Sebastian Otte:
Learning Precise Spike Timings with Eligibility Traces. CoRR abs/2006.09988 (2020) - [i8]Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz:
Inferring, Predicting, and Denoising Causal Wave Dynamics. CoRR abs/2009.09187 (2020) - [i7]Matthias Karlbauer, Tobias Menge, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz:
Hidden Latent State Inference in a Spatio-Temporal Generative Model. CoRR abs/2009.09823 (2020) - [i6]Sebastian Otte, Matthias Karlbauer, Martin V. Butz:
Active Tuning. CoRR abs/2010.03958 (2020) - [i5]Mahdi Sadeghi, Fabian Schrodt, Sebastian Otte, Martin V. Butz:
Binding and Perspective Taking as Inference in a Generative Neural Network Model. CoRR abs/2012.05152 (2020) - [i4]Manfred Eppe, Christian Gumbsch, Matthias Kerzel, Phuong D. H. Nguyen, Martin V. Butz, Stefan Wermter:
Hierarchical principles of embodied reinforcement learning: A review. CoRR abs/2012.10147 (2020)
2010 – 2019
- 2019
- [j36]Martin V. Butz, David K. Bilkey, Dania Humaidan, Alistair Knott, Sebastian Otte:
Learning, planning, and control in a monolithic neural event inference architecture. Neural Networks 117: 135-144 (2019) - [c105]Johannes Lohmann, Martin V. Butz:
Unflinching Predictions: Anticipatory Crossmodal Interactions are Unaffected by the Current Hand Posture. CogSci 2019: 692-698 - [c104]Gregory Scontras, Asya Achimova, Christian Stegemann, Martin V. Butz:
On the purpose of ambiguous utterances. CogSci 2019: 3352 - [c103]Sebastian Otte, Patricia Rubisch, Martin V. Butz:
Gradient-Based Learning of Compositional Dynamics with Modular RNNs. ICANN (1) 2019: 484-496 - [c102]Sebastian Otte, Jakob Stoll, Martin V. Butz:
Incorporating Adaptive RNN-Based Action Inference and Sensory Perception. ICANN (4) 2019: 543-555 - [c101]Martin V. Butz, Tobias Menge, Dania Humaidan, Sebastian Otte:
Inferring Event-Predictive Goal-Directed Object Manipulations in REPRISE. ICANN (1) 2019: 639-653 - [c100]Katerina Tsarava, Luzia Leifheit, Manuel Ninaus, Marcos Román-González, Martin V. Butz, Jessika Golle, Ulrich Trautwein, Korbinian Moeller:
Cognitive Correlates of Computational Thinking: Evaluation of a Blended Unplugged/Plugged-In Course. WiPSCE 2019: 24:1-24:9 - [i3]Christian Gumbsch, Martin V. Butz, Georg Martius:
Autonomous Identification and Goal-Directed Invocation of Event-Predictive Behavioral Primitives. CoRR abs/1902.09948 (2019) - [i2]Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz:
A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction. CoRR abs/1912.11141 (2019) - 2018
- [c99]Jacques Kaiser, Svenja Melbaum, Juan Camilo Vasquez Tieck, Arne Roennau, Martin V. Butz, Rüdiger Dillmann:
Learning to Reproduce Visually Similar Movements by Minimizing Event-Based Prediction Error. BioRob 2018: 260-267 - [c98]Martin V. Butz, David K. Bilkey, Alistair Knott, Sebastian Otte:
REPRISE: A Retrospective and Prospective Inference Scheme. CogSci 2018 - [c97]Martin V. Butz, Alistair Knott:
Symposium on Event Predictive Cognition. CogSci 2018 - [c96]Johannes Lohmann, Anna Belardinelli, Martin V. Butz:
Are you Sure How to Move? Expected Uncertainty Modulates Anticipatory Crossmodal Interactions. CogSci 2018 - [c95]Sebastian Otte, Lea Hofmaier, Martin V. Butz:
Integrative Collision Avoidance Within RNN-Driven Many-Joint Robot Arms. ICANN (3) 2018: 748-758 - [c94]Peter Gerjets, Martin Lachmair, Martin V. Butz, Johannes Lohmann:
Knowledge Spaces in VR: Intuitive Interfacing with a Multiperspective Hypermedia Environment. VR 2018: 555-556 - [i1]Martin V. Butz, David K. Bilkey, Dania Humaidan, Alistair Knott, Sebastian Otte:
Learning, Planning, and Control in a Monolithic Neural Event Inference Architecture. CoRR abs/1809.07412 (2018) - 2017
- [j35]Johannes Lohmann, Martin V. Butz:
Lost in space: multisensory conflict yields adaptation in spatial representations across frames of reference. Cogn. Process. 18(3): 211-228 (2017) - [j34]Fabian Schrodt, Jan Kneissler, Stephan Ehrenfeld, Martin V. Butz:
Mario Becomes Cognitive. Top. Cogn. Sci. 9(2): 343-373 (2017) - [c93]Anna Belardinelli, Johannes Lohmann, Martin V. Butz:
Projecting space into the future: peripersonal space remaps in anticipation of an object manipulation. CogSci 2017 - [c92]Wayne D. Gray, Ray S. Perez, Martin V. Butz, Stuart Reeves, Matthew Sangster, Tom Stafford, Fernand Gobet:
Game-XP: Action Games as Cognitive Science Paradigms. CogSci 2017 - [c91]Christian Gumbsch, Sebastian Otte, Martin V. Butz:
A Computational Model for the Dynamical Learning of Event Taxonomies. CogSci 2017 - [c90]Thomas Hinterecker, Caroline Leroy, Maximilian E. Kirschhock, Mintao Zhao, Martin V. Butz, Heinrich H. Bülthoff, Tobias Meilinger:
Reference Systems in Spatial Memory for Vertical Locations. CogSci 2017 - [c89]Johannes Lohmann, Jakob Gütschow, Martin V. Butz:
Grasping Multisensory Integration: Proprioceptive Capture after Virtual Object Interactions. CogSci 2017 - [c88]Sebastian Otte, Theresa Schmitt, Martin V. Butz:
Anticipatory Active Inference from Learned Recurrent Neural Forward Models. CogSci 2017 - [c87]Fabian Schrodt, Martin V. Butz:
Learning Temporal Generative Neural Codes for Biological Motion Perception and Inference. CogSci 2017 - [c86]Sebastian Otte, Theresa Schmitt, Karl J. Friston, Martin V. Butz:
Inferring Adaptive Goal-Directed Behavior Within Recurrent Neural Networks. ICANN (1) 2017: 227-235 - [c85]Sebastian Otte, Adrian Zwiener, Martin V. Butz:
Inherently Constraint-Aware Control of Many-Joint Robot Arms with Inverse Recurrent Models. ICANN (1) 2017: 262-270 - 2016
- [j33]Christian Balkenius, Lola Cañamero, Philip Pärnamets, Birger Johansson, Martin V. Butz, Andreas Olsson:
Outline of a sensory-motor perspective on intrinsically moral agents. Adapt. Behav. 24(5): 306-319 (2016) - [j32]Philipp A. Schroeder, Johannes Lohmann, Martin V. Butz, Christian Plewnia:
Behavioral Bias for Food Reflected in Hand Movements: A Preliminary Study with Healthy Subjects. Cyberpsychology Behav. Soc. Netw. 19(2): 120-126 (2016) - [j31]Fabian Schrodt, Martin V. Butz:
Just Imagine! Learning to Emulate and Infer Actions with a Stochastic Generative Architecture. Frontiers Robotics AI 3: 5 (2016) - [j30]Sebastian Otte, Martin V. Butz, Danil Koryakin, Fabian Becker, Marcus Liwicki, Andreas Zell:
Optimizing recurrent reservoirs with neuro-evolution. Neurocomputing 192: 128-138 (2016) - [c84]Anna Belardinelli, Johannes Lohmann, Martin V. Butz:
Human-object interaction understanding without objects. CogSci 2016 - [c83]Martin V. Butz, Mihael Simonic, Marcel Binz, Jonas Einig, Stephan Ehrenfeld, Fabian Schrodt:
Is it Living? Insights from Modeling Event-Oriented, Self-Motivated, Acting, Learning and Conversing Game Agents. CogSci 2016 - [c82]Christian Gumbsch, Jan Kneissler, Martin V. Butz:
Learning Behavior-Grounded Event Segmentations. CogSci 2016 - [c81]Fabian Schrodt, Yves Röhm, Martin V. Butz:
An Event-Schematic, Cooperative, Cognitive Architecture Plays Super Mario. EUCognition 2016: 10-15 - [c80]Alina Kloss, Daniel Kappler, Hendrik P. A. Lensch, Martin V. Butz, Stefan Schaal, Jeannette Bohg:
Learning where to search using visual attention. IROS 2016: 5238-5245 - 2015
- [j29]Jan Kneissler, Jan Drugowitsch, Karl J. Friston, Martin V. Butz:
Simultaneous Learning and Filtering without Delusions: A Bayes-Optimal Derivation of Combining Predictive Inference and Adaptive Filtering. Frontiers Comput. Neurosci. 9: 47 (2015) - [j28]Fabian Schrodt, Georg Layher, Heiko Neumann, Martin V. Butz:
Embodied learning of a generative neural model for biological motion perception and inference. Frontiers Comput. Neurosci. 9: 79 (2015) - [c79]Anna Belardinelli, Martin V. Butz:
It's all in the eye: multiple orders of motor planning in gaze control. CogSci 2015 - [c78]Martin V. Butz, Robert Geirhos, Jan Kneissler:
An Automatized Heider-Simmel Story Generation Tool. CogSci 2015 - [c77]Sebastian Otte, Fabian Becker, Martin V. Butz, Marcus Liwicki, Andreas Zell:
Learning Recurrent Dynamics using Differential Evolution. ESANN 2015 - [p10]Martin V. Butz:
Learning Classifier Systems. Handbook of Computational Intelligence 2015: 961-981 - 2014
- [j27]Anna Belardinelli, Martin V. Butz:
Report on the Thirty-Fifth Annual Cognitive Science Conference. AI Mag. 35(2): 79-80 (2014) - [j26]Jan Kneissler, Patrick O. Stalph, Jan Drugowitsch, Martin V. Butz:
Filtering Sensory Information with XCSF: Improving Learning Robustness and Robot Arm Control Performance. Evol. Comput. 22(1): 139-158 (2014) - [c76]Anna Belardinelli, Johannes Kurz, Esther Kutter, Heiko Neumann, Hans-Otto Karnath, Martin V. Butz:
Modeling Simultanagnosia. CogSci 2014 - [c75]Fabian Schrodt, Georg Layher, Heiko Neumann, Martin V. Butz:
Modeling Perspective-Taking by Correlating Visual and Proprioceptive Dynamics. CogSci 2014 - [c74]Jan Kneissler, Martin V. Butz:
Learning Spatial Transformations Using Structured Gain-Field Networks. ICANN 2014: 683-690 - [c73]Fabian Schrodt, Georg Layher, Heiko Neumann, Martin V. Butz:
Modeling perspective-taking upon observation of 3D biological motion. ICDL-EPIROB 2014: 305-310 - 2013
- [j25]Stephan Ehrenfeld, Martin V. Butz:
The modular modality frame model: continuous body state estimation and plausibility-weighted information fusion. Biol. Cybern. 107(1): 61-82 (2013) - [j24]Johannes Lohmann, Oliver Herbort, Martin V. Butz:
Modeling the temporal dynamics of visual working memory. Cogn. Syst. Res. 24: 80-86 (2013) - [j23]Stephan Ehrenfeld, Oliver Herbort, Martin V. Butz:
Modular neuron-based body estimation: maintaining consistency over different limbs, modalities, and frames of reference. Frontiers Comput. Neurosci. 7: 148 (2013) - [c72]Anna Belardinelli, Martin V. Butz:
Gaze strategies in object identification and manipulation. CogSci 2013 - [c71]Johannes Lohmann, Martin V. Butz:
Modeling Continuous Representations in Visual Working Memory. CogSci 2013 - [c70]Andreas Alin, Jannik Fritsch, Martin V. Butz:
Improved tracking and behavior anticipation by combining street map information with Bayesian-filtering. ITSC 2013: 2235-2242 - [c69]Martin V. Butz, Armin Gufler, Konstantin Schmid, Fabian Schrodt:
Fully Self-Supervised Learning of an Arm Model. LWA 2013: 173-179 - [p9]Stephan Ehrenfeld, Oliver Herbort, Martin V. Butz:
Modular, Multimodal Arm Control Models. Computational and Robotic Models of the Hierarchical Organization of Behavior 2013: 129-154 - [p8]Peter I. Cowling, Michael Buro, Michal Bída, Adi Botea, Bruno Bouzy, Martin V. Butz, Philip Hingston, Hector Muñoz-Avila, Dana S. Nau, Moshe Sipper:
Search in Real-Time Video Games. Artificial and Computational Intelligence in Games 2013: 1-19 - 2012
- [j22]Martin V. Butz, Anna Belardinelli, Stephan Ehrenfeld:
Modeling body state-dependent multisensory integration. Cogn. Process. 13(Supplement-1): 113-116 (2012) - [j21]Patrick O. Stalph, Jérémie Rubinsztajn, Olivier Sigaud, Martin V. Butz:
Function approximation with LWPR and XCSF: a comparative study. Evol. Intell. 5(2): 103-116 (2012) - [j20]Martin V. Butz, Olivier Sigaud:
XCSF with local deletion: preventing detrimental forgetting. Evol. Intell. 5(2): 117-127 (2012) - [j19]Patrick O. Stalph, Martin V. Butz:
Learning local linear Jacobians for flexible and adaptive robot arm control. Genet. Program. Evolvable Mach. 13(2): 137-157 (2012) - [j18]Danil Koryakin, Johannes Lohmann, Martin V. Butz:
Balanced echo state networks. Neural Networks 36: 35-45 (2012) - [j17]Patrick O. Stalph, Xavier Llorà, David E. Goldberg, Martin V. Butz:
Resource management and scalability of the XCSF learning classifier system. Theor. Comput. Sci. 425: 126-141 (2012) - [c68]Jan Kneissler, Patrick O. Stalph, Jan Drugowitsch, Martin V. Butz:
Filtering sensory information with XCSF: improving learning robustness and control performance. GECCO 2012: 871-878 - [c67]Patrick O. Stalph, Martin V. Butz:
Guided evolution in XCSF. GECCO 2012: 911-918 - [c66]Danil Koryakin, Martin V. Butz:
Reservoir Sizes and Feedback Weights Interact Non-linearly in Echo State Networks. ICANN (1) 2012: 499-506 - [c65]Stephan Ehrenfeld, Martin V. Butz:
Autonomous failure detection and multimodal sensor fusion in a modular arm model. IROS 2012: 2186-2191 - [c64]Andreas Alin, Martin V. Butz, Jannik Fritsch:
Incorporating environmental knowledge into Bayesian filtering using attractor functions. Intelligent Vehicles Symposium 2012: 476-481 - 2011
- [j16]Yuuya Sugita, Jun Tani, Martin V. Butz:
Simultaneously emerging Braitenberg codes and compositionality. Adapt. Behav. 19(5): 295-316 (2011) - [j15]Martin V. Butz, Matthias J. Linhardt, Thies D. Lönneker:
Effective Racing on Partially Observable Tracks: Indirectly Coupling Anticipatory Egocentric Sensors With Motor Commands. IEEE Trans. Comput. Intell. AI Games 3(1): 31-42 (2011) - [c63]Martin V. Butz, Olivier Sigaud:
XCSF with local deletion: preventing detrimental forgetting. GECCO (Companion) 2011: 383-390 - [c62]Anke Endler, Martin V. Butz, Günter Daniel Rey:
Extracting adaptation strategies for e-learning programs with XCS. GECCO (Companion) 2011: 743-746 - [c61]Martin V. Butz:
Learning classifier systems. GECCO (Companion) 2011: 941-962 - [c60]Martin V. Butz, Patrick O. Stalph:
Modularization of xcsf for multiple output dimensions. GECCO 2011: 1243-1250 - [c59]Stephan Ehrenfeld, Martin V. Butz:
A modular, redundant, multi-frame of reference representation for kinematic chains. ICRA 2011: 141-147 - [c58]Andreas Alin, Martin V. Butz, Jannik Fritsch:
Tracking moving vehicles using an advanced grid-based Bayesian filter approach. Intelligent Vehicles Symposium 2011: 466-472 - 2010
- [j14]Martin V. Butz, Elshad Shirinov, Kevin L. Reif:
Self-Organizing Sensorimotor Maps Plus Internal Motivations Yield Animal-Like Behavior. Adapt. Behav. 18(3-4): 315-337 (2010) - [j13]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:
The 2009 Simulated Car Racing Championship. IEEE Trans. Comput. Intell. AI Games 2(2): 131-147 (2010) - [c57]Gerulf K. M. Pedersen, Martin V. Butz:
Evolving robust controller parameters using covariance matrix adaptation. GECCO 2010: 1251-1258 - [c56]Patrick O. Stalph, Jérémie Rubinsztajn, Olivier Sigaud, Martin V. Butz:
A comparative study: function approximation with LWPR and XCSF. GECCO (Companion) 2010: 1863-1870 - [c55]Martin V. Butz:
Learning classifier systems. GECCO (Companion) 2010: 2331-2352 - [p7]Oliver Herbort, Martin V. Butz, Gerulf K. M. Pedersen:
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 2010: 85-106 - [e6]Jaume Bacardit, Will N. Browne, Jan Drugowitsch, Ester Bernadó-Mansilla, Martin V. Butz:
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. Lecture Notes in Computer Science 6471, Springer 2010, ISBN 978-3-642-17507-7 [contents]
2000 – 2009
- 2009
- [j12]Martin V. Butz, Pier Luca Lanzi:
Sequential problems that test generalization in learning classifier systems. Evol. Intell. 2(3): 141-147 (2009) - [c54]Martin V. Butz, Thies D. Lönneker:
Optimized sensory-motor couplings plus strategy extensions for the TORCS car racing challenge. CIG 2009: 317-324 - [c53]Martin Pelikan, Kumara Sastry, David E. Goldberg, Martin V. Butz, Mark Hauschild:
Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap. GECCO 2009: 851-858 - [c52]Martin V. Butz, Gerulf K. M. Pedersen, Patrick O. Stalph:
Learning sensorimotor control structures with XCSF: redundancy exploitation and dynamic control. GECCO 2009: 1171-1178 - [c51]Patrick O. Stalph, Martin V. Butz, David E. Goldberg, Xavier Llorà:
On the scalability of XCS(F). GECCO 2009: 1315-1322 - [c50]Matthias J. Linhardt, Martin V. Butz:
NEAT in increasingly non-linear control situations. GECCO (Companion) 2009: 2091-2096 - [c49]Elshad Shirinov, Martin V. Butz:
Distinction between types of motivations: Emergent behavior with a neural, model-based reinforcement learning system. ALIFE 2009: 69-76 - [c48]Patrick O. Stalph, Martin V. Butz:
How Fitness Estimates Interact with Reproduction Rates: Towards Variable Offspring Set Sizes in XCSF. IWLCS 2009: 47-56 - [c47]Patrick O. Stalph, Martin V. Butz:
Current XCSF Capabilities and Challenges. IWLCS 2009: 57-69 - [c46]Patrick O. Stalph, Martin V. Butz, Gerulf K. M. Pedersen:
Controlling a Four Degree of Freedom Arm in 3D Using the XCSF Learning Classifier System. KI 2009: 193-200 - [c45]Martin V. Butz, Gerulf K. M. Pedersen:
The Scared Robot: Motivations in a Simulated Robot Arm. KI 2009: 460-467 - [e5]Giovanni Pezzulo, Martin V. Butz, Olivier Sigaud, Gianluca Baldassarre:
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]. Lecture Notes in Computer Science 5499, Springer 2009, ISBN 978-3-642-02564-8 [contents] - 2008
- [j11]Martin V. Butz:
Sensomotorische Raumrepräsentationen. Inform. Spektrum 31(3): 237-240 (2008) - [j10]Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson:
Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction. IEEE Trans. Evol. Comput. 12(3): 355-376 (2008) - [c44]Giovanni Pezzulo, Martin V. Butz, Olivier Sigaud, Gianluca Baldassarre:
From Sensorimotor to Higher-Level Cognitive Processes: An Introduction to Anticipatory Behavior Systems. ABiALS 2008: 1-9 - [c43]Olivier Sigaud, Martin V. Butz, Olga Kozlova, Christophe Meyer:
Anticipatory Learning Classifier Systems and Factored Reinforcement Learning. ABiALS 2008: 321-333 - [c42]Martin V. Butz, Pier Luca Lanzi, Xavier Llorà, Daniele Loiacono:
An analysis of matching in learning classifier systems. GECCO 2008: 1349-1356 - [c41]Martin V. Butz, Oliver Herbort:
Context-dependent predictions and cognitive arm control with XCSF. GECCO 2008: 1357-1364 - [c40]Martin V. Butz, Patrick O. Stalph, Pier Luca Lanzi:
Self-adaptive mutation in XCSF. GECCO 2008: 1365-1372 - [c39]Patrick O. Stalph, Martin V. Butz:
Towards increasing learning speed and robustness of XCSF: experimenting with larger offspring set sizes. GECCO (Companion) 2008: 2023-2030 - [c38]Martin V. Butz:
Learning classifier systems. GECCO (Companion) 2008: 2367-2388 - [c37]Franziska Klügl, Reinhard Hatko, Martin V. Butz:
Agent Learning Instead of Behavior Implementation for Simulations - A Case Study Using Classifier Systems. MATES 2008: 111-122 - [p6]Giovanni Pezzulo, Martin V. Butz, Cristiano Castelfranchi, Rino Falcone:
Introduction: Anticipation in Natural and Artificial Cognition. The Challenge of Anticipation 2008: 3-22 - [p5]Giovanni Pezzulo, Martin V. Butz, Cristiano Castelfranchi:
The Anticipatory Approach: Definitions and Taxonomies. The Challenge of Anticipation 2008: 23-43 - [p4]Martin V. Butz, Giovanni Pezzulo:
Benefits of Anticipations in Cognitive Agents. The Challenge of Anticipation 2008: 45-62 - [p3]Martin V. Butz, Oliver Herbort, Giovanni Pezzulo:
Anticipatory, Goal-Directed Behavior. The Challenge of Anticipation 2008: 85-113 - [p2]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:
Endowing Artificial Systems with Anticipatory Capabilities: Success Cases. The Challenge of Anticipation 2008: 237-254 - [e4]Jaume Bacardit, Ester Bernadó-Mansilla, Martin V. Butz, Tim Kovacs, Xavier Llorà, Keiki Takadama:
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. Lecture Notes in Computer Science 4998, Springer 2008, ISBN 978-3-540-88137-7 [contents] - [e3]Giovanni Pezzulo, Martin V. Butz, Cristiano Castelfranchi, Rino Falcone:
The Challenge of Anticipation, A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems. Lecture Notes in Computer Science 5225, Springer 2008, ISBN 978-3-540-87701-1 [contents] - 2007
- [j9]Joachim Hoffmann, Michael Berner, Martin V. Butz, Oliver Herbort, Andrea Kiesel, Wilfried Kunde, Alexandra Lenhard:
Explorations of anticipatory behavioral control (ABC): a report from the cognitive psychology unit of the University of Würzburg. Cogn. Process. 8(2): 133-142 (2007) - [j8]Martin V. Butz, David E. Goldberg, Pier Luca Lanzi, Kumara Sastry:
Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity. Genet. Program. Evolvable Mach. 8(1): 5-37 (2007) - [c36]Pier Luca Lanzi, Martin V. Butz, David E. Goldberg:
Empirical analysis of generalization and learning in XCS with gradient descent. GECCO 2007: 1814-1821 - [c35]Martin V. Butz:
Learning classifier systems. GECCO (Companion) 2007: 3035-3056 - [c34]Martin V. Butz:
Combining Gradient-Based With Evolutionary Online Learning: An Introduction to Learning Classifier Systems. HIS 2007: 12-17 - [c33]Oliver Herbort, Martin V. Butz:
Encoding Complete Body Models Enables Task Dependent Optimal Behavior. IJCNN 2007: 1639-1644 - [c32]Martin V. Butz, Alexandra Lenhard, Oliver Herbort:
Emergent Effector-Independent Internal Spaces: Adaptation and Intermanual Learning Transfer in Humans and Neural Networks. IJCNN 2007: 1970-1975 - [c31]Jaume Bacardit, Ester Bernadó-Mansilla, Martin V. Butz:
Learning Classifier Systems: Looking Back and Glimpsing Ahead. IWLCS 2007: 1-21 - [e2]Martin V. Butz, Olivier Sigaud, Giovanni Pezzulo, Gianluca Baldassarre:
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]. Lecture Notes in Computer Science 4520, Springer 2007, ISBN 978-3-540-74261-6 [contents] - 2006
- [b2]Martin V. Butz:
Rule-Based Evolutionary Online Learning Systems - A Principled Approach to LCS Analysis and Design. Studies in Fuzziness and Soft Computing 191, Springer 2006, ISBN 978-3-540-25379-2, pp. 1-225 [contents] - [j7]Martin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg:
Automated Global Structure Extraction for Effective Local Building Block Processing in XCS. Evol. Comput. 14(3): 345-380 (2006) - [c30]Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg:
Hierarchical BOA on random decomposable problems. GECCO 2006: 431-432 - [c29]Martin V. Butz, Martin Pelikan:
Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions. GECCO 2006: 1449-1456 - [c28]Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson:
Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure. GECCO 2006: 1457-1464 - [c27]Cláudio F. Lima, Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg, Fernando G. Lobo:
Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm. PPSN 2006: 232-241 - [c26]Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg:
Performance of Evolutionary Algorithms on Random Decomposable Problems. PPSN 2006: 788-797 - [c25]Martin V. Butz, Olivier Sigaud, Giovanni Pezzulo, Gianluca Baldassarre:
Anticipations, Brains, Individual and Social Behavior: An Introduction to Anticipatory Systems. SAB ABiALS 2006: 1-18 - [c24]Giovanni Pezzulo, Gianluca Baldassarre, Martin V. Butz, Cristiano Castelfranchi, Joachim Hoffmann:
From Actions to Goals and Vice-Versa: Theoretical Analysis and Models of the Ideomotor Principle and TOTE. SAB ABiALS 2006: 73-93 - [p1]Martin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg:
Effective and Reliable Online Classification Combining XCS with EDA Mechanisms. Scalable Optimization via Probabilistic Modeling 2006: 249-273 - 2005
- [j6]Martin V. Butz, Kumara Sastry, David E. Goldberg:
Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection. Genet. Program. Evolvable Mach. 6(1): 53-77 (2005) - [j5]Martin V. Butz, David E. Goldberg, Pier Luca Lanzi:
Gradient descent methods in learning classifier systems: improving XCS performance in multistep problems. IEEE Trans. Evol. Comput. 9(5): 452-473 (2005) - [c23]Martin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg:
Extracted global structure makes local building block processing effective in XCS. GECCO 2005: 655-662 - [c22]Martin V. Butz:
Kernel-based, ellipsoidal conditions in the real-valued XCS classifier system. GECCO 2005: 1835-1842 - [c21]Arnaud Quirin, Jerzy Korczak, Martin V. Butz, David E. Goldberg:
Analysis and Evaluation of Learning Classifier Systems applied to Hyperspectral Image Classification. ISDA 2005: 280-285 - [c20]Martin V. Butz, David E. Goldberg, Pier Luca Lanzi:
Effect of Pure Error-Based Fitness in XCS. IWLCS 2005: 104-114 - [c19]Jaume Bacardit, Martin V. Butz:
Data Mining in Learning Classifier Systems: Comparing XCS with GAssist. IWLCS 2005: 282-290 - [c18]Jaume Bacardit, David E. Goldberg, Martin V. Butz:
Improving the Performance of a Pittsburgh Learning Classifier System Using a Default Rule. IWLCS 2005: 291-307 - 2004
- [b1]Martin V. Butz:
Rule-Based Evolutionary Online Learning Systems: Learning Bounds, Classification, and Prediction. University of Illinois Urbana-Champaign, USA, 2004 - [j4]Martin V. Butz, Tim Kovacs, Pier Luca Lanzi, Stewart W. Wilson:
Toward a theory of generalization and learning in XCS. IEEE Trans. Evol. Comput. 8(1): 28-46 (2004) - [c17]Martin V. Butz, David E. Goldberg, Pier Luca Lanzi:
Bounding Learning Time in XCS. GECCO (2) 2004: 739-750 - [c16]Martin V. Butz, David E. Goldberg, Pier Luca Lanzi:
Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems. GECCO (2) 2004: 751-762 - [c15]Jaume Bacardit, David E. Goldberg, Martin V. Butz, Xavier Llorà, Josep Maria Garrell i Guiu:
Speeding-Up Pittsburgh Learning Classifier Systems: Modeling Time and Accuracy. PPSN 2004: 1021-1031 - [c14]Martin V. Butz, Pier Luca Lanzi, Xavier Llorà, David E. Goldberg:
Knowledge Extraction and Problem Structure Identification in XCS. PPSN 2004: 1051-1060 - 2003
- [j3]Martin V. Butz, David E. Goldberg, Kurian K. Tharakunnel:
Analysis and Improvement of Fitness Exploitation in XCS: Bounding Models, Tournament Selection, and Bilateral Accuracy. Evol. Comput. 11(3): 239-277 (2003) - [c13]Martin V. Butz, Olivier Sigaud, Pierre Gérard:
Anticipatory Behavior: Exploiting Knowledge About the Future to Improve Current Behavior. ABiALS 2003: 1-10 - [c12]Martin V. Butz, Olivier Sigaud, Pierre Gérard:
Internal Models and Anticipations in Adaptive Learning Systems. ABiALS 2003: 86-109 - [c11]Martin V. Butz, David E. Goldberg:
Generalized State Values in an Anticipatory Learning Classifier System. ABiALS 2003: 282-301 - [c10]Martin V. Butz, David E. Goldberg:
Bounding the Population Size in XCS to Ensure Reproductive Opportunities. GECCO 2003: 1844-1856 - [c9]Martin V. Butz, Kumara Sastry, David E. Goldberg:
Tournament Selection: Stable Fitness Pressure in XCS. GECCO 2003: 1857-1869 - [c8]Kurian K. Tharakunnel, Martin V. Butz, David E. Goldberg:
Towards Building Block Propagation in XCS: A Negative Result and Its Implications. GECCO 2003: 1906-1917 - [e1]Martin V. Butz, Olivier Sigaud, Pierre Gérard:
Anticipatory Behavior in Adaptive Learning Systems, Foundations, Theories, and Systems. Lecture Notes in Computer Science 2684, Springer 2003, ISBN 3-540-40429-5 [contents] - 2002
- [j2]Martin V. Butz, Joachim Hoffmann:
Anticipations Control Behavior: Animal Behavior in an Anticipatory Learning Classifier System. Adapt. Behav. 10(2): 75-96 (2002) - [j1]Martin V. Butz, Stewart W. Wilson:
An algorithmic description of XCS. Soft Comput. 6(3-4): 144-153 (2002) - 2001
- [c7]Martin V. Butz:
Biasing Exploration in an Anticipatory Learning Classifier System. IWLCS 2001: 3-22 - [c6]Martin V. Butz, Wolfgang Stolzmann:
An Algorithmic Description of ACS2. IWLCS 2001: 211-230 - 2000
- [c5]Martin V. Butz, David E. Goldberg, Wolfgang Stolzmann:
Introducing a Genetic Generalization Pressure to the Anticipatory Classifier System - Part 1: Theoretical approach. GECCO 2000: 42-49 - [c4]Martin V. Butz, David E. Goldberg, Wolfgang Stolzmann:
Probability-Enhanced Predictions in the Anticipatory Classifier System. IWLCS 2000: 37-51 - [c3]Martin V. Butz, Stewart W. Wilson:
An Algorithmic Description of XCS. IWLCS 2000: 253-272 - [c2]Martin V. Butz, David E. Goldberg, Wolfgang Stolzmann:
Investigating Generalization in the Anticipatory Classifier System. PPSN 2000: 735-744
1990 – 1999
- 1999
- [c1]Wolfgang Stolzmann, Martin V. Butz:
Latent Learning and Action Planning in Robots with Anticipatory Classifier Systems. Learning Classifier Systems 1999: 301-320
Coauthor Index
[c136] [c135] [j46] [j45] [c133] [i24] [i23] [i22] [j43] [j42] [c130] [c128] [c127] [d2] [d1] [i20] [i19] [i17] [c125] [c121] [c120] [c119] [c118] [c117] [c116] [i15] [i14] [i12] [c111] [c110] [c109] [c108] [c107] [c106] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [j36] [c103] [c102] [c101] [i2] [c98] [c95] [i1] [c91] [c88] [c86] [c85] [j30] [c77]
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