Michael Spranger

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 63

Top Topics

Cognitive Robotics

Continuous Action

Top Venues

Publications

Vikash Sehwag, Xianghao Kong, Jingtao Li, Michael Spranger, Lingjuan Lyu
Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget. CoRR (2024)
Yuhang Li, Xin Dong, Chen Chen, Jingtao Li, Yuxin Wen, Michael Spranger, Lingjuan Lyu
Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization. CoRR (2024)
Jingtao Li, Lingjuan Lyu, Daisuke Iso, Chaitali Chakrabarti, Michael Spranger
MocoSFL: enabling cross-client collaborative self-supervised learning. ICLR (2023)
Rania Rayyes, Heiko Donat, Jochen J. Steil, Michael Spranger
Interest-Driven Exploration With Observational Learning for Developmental Robots. IEEE Trans. Cogn. Dev. Syst. 15 (2) (2023)
Samy Badreddine, Luciano Serafini, Michael Spranger
logLTN: Differentiable Fuzzy Logic in the Logarithm Space. CoRR (2023)
Oscar Chang, Lampros Flokas, Hod Lipson, Michael Spranger
Assessing SATNet's Ability to Solve the Symbol Grounding Problem. CoRR (2023)
Uchenna Akujuobi, Michael Spranger, Sucheendra K. Palaniappan, Xiangliang Zhang
T-PAIR: Temporal Node pair Embedding for Automatic Biomedical Hypothesis Generation (Extended abstract). ICDE (2023)
Junyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger
MECTA: Memory-Economic Continual Test-Time Model Adaptation. ICLR (2023)
Jenny Felser, Christoph Demus, Dirk Labudde, Michael Spranger
FoSIL at PAN'23: Trigger Detection with a Two Stage Topic Classifier. CLEF (Working Notes) (2023)
Michael Spranger
Outracing Champion Gran Turismo Drivers with Deep Reinforcement Learning. ICAART (2023)
Junyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger
Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling. CoRR (2022)
Samy Badreddine, Artur d'Avila Garcez, Luciano Serafini, Michael Spranger
Logic Tensor Networks. Artif. Intell. 303 (2022)
Homayun Afrabandpey, Michael Spranger
Feasible and Desirable Counterfactual Generation by Preserving Human Defined Constraints. CoRR (2022)
Freek Stulp, Michael Spranger, Kim Listmann, Stéphane Doncieux, Moritz Tenorth, George Konidaris, Pieter Abbeel
Innovation Paths for Machine Learning in Robotics [Industry Activities]. IEEE Robotics Autom. Mag. 29 (4) (2022)
Jenny Felser, Jian Xi, Christoph Demus, Dirk Labudde, Michael Spranger
Recommendation of Query Terms for Colloquial Texts in Forensic Text Analysis. GI-Jahrestagung (2022)
Junyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger
Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling. NeurIPS (2022)
Uchenna Akujuobi, Michael Spranger, Sucheendra K. Palaniappan, Xiangliang Zhang
T-PAIR: Temporal Node-Pair Embedding for Automatic Biomedical Hypothesis Generation. IEEE Trans. Knowl. Data Eng. 34 (6) (2022)
Andy Ludwig, Jenny Felser, Jian Xi, Dirk Labudde, Michael Spranger
FoSIL at CheckThat!-2022: Using Human Behaviour-Based Optimization for Text Classification. CLEF (Working Notes) (2022)
Kenzo Lobos-Tsunekawa, Akshay Srinivasan, Michael Spranger
MA-Dreamer: Coordination and communication through shared imagination. CoRR (2022)
Kana Maruyama, Michael Spranger
Interpretable Relational Representations for Food Ingredient Recommendation Systems. ICCC (2022)
Michael Spranger, Jian Xi, Lukas Jaeckel, Jenny Felser, Dirk Labudde
MoNA: A Forensic Analysis Platform for Mobile Communication. Künstliche Intell. 36 (2) (2022)
Akira Taniguchi, Michael Spranger, Hiroshi Yamakawa, Tetsunari Inamura
Editorial: Constructive approach to spatial cognition in intelligent robotics. Frontiers Neurorobotics 16 (2022)
Peter R. Wurman, Samuel Barrett, Kenta Kawamoto, James MacGlashan, Kaushik Subramanian, Thomas J. Walsh, Roberto Capobianco, Alisa Devlic, Franziska Eckert, Florian Fuchs, Leilani Gilpin, Piyush Khandelwal, Varun Kompella, HaoChih Lin, Patrick MacAlpine, Declan Oller, Takuma Seno, Craig Sherstan, Michael D. Thomure, Houmehr Aghabozorgi, Leon Barrett, Rory Douglas, Dion Whitehead, Peter Dürr, Peter Stone, Michael Spranger, Hiroaki Kitano
Outracing champion Gran Turismo drivers with deep reinforcement learning. Nat. 602 (7896) (2022)
Peter R. Wurman, Peter Stone, Michael Spranger
Challenges and Opportunities of Applying Reinforcement Learning to Autonomous Racing. IEEE Intell. Syst. 37 (3) (2022)
Keonwoo Kim, Donghyeon Park, Michael Spranger, Kana Maruyama, Jaewoo Kang
RecipeBowl: A Cooking Recommender for Ingredients and Recipes Using Set Transformer. IEEE Access 9 (2021)
Samy Badreddine, Michael Spranger
Extending Real Logic with Aggregate Functions. NeSy (2021)
Badr AlKhamissi, Muhammad N. ElNokrashy, Michael Spranger
The Emergence of Abstract and Episodic Neurons in Episodic Meta-RL. CoRR (2021)
Tadahiro Taniguchi, Takato Horii, Xavier Hinaut, Michael Spranger, Daichi Mochihashi, Takayuki Nagai
Editorial: Language and Robotics. Frontiers Robotics AI 8 (2021)
Ryuji Imamura, Takuma Seno, Kenta Kawamoto, Michael Spranger
Expert Human-Level Driving in Gran Turismo Sport Using Deep Reinforcement Learning with Image-based Representation. CoRR (2021)
Ricardo Guerrero, Michael Spranger, Shuqiang Jiang, Chong-Wah Ngo
AIxFood'21: 3rd Workshop on AIxFood. ACM Multimedia (2021)
Samy Badreddine, Artur d'Avila Garcez, Luciano Serafini, Michael Spranger
Logic Tensor Networks. CoRR (2020)
Uchenna Akujuobi, Jun Chen, Mohamed Elhoseiny, Michael Spranger, Xiangliang Zhang
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation. CoRR (2020)
Oscar Chang, Lampros Flokas, Hod Lipson, Michael Spranger
Assessing SATNet's Ability to Solve the Symbol Grounding Problem. NeurIPS (2020)
Uchenna Akujuobi, Jun Chen, Mohamed Elhoseiny, Michael Spranger, Xiangliang Zhang
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation. NeurIPS (2020)
Malte Schilling, Katharina J. Rohlfing, Paul Vogt, Chen Yu, Michael Spranger
Guest Editorial Special Issue on Multidisciplinary Perspectives on Mechanisms of Language Learning. IEEE Trans. Cogn. Dev. Syst. 12 (2) (2020)
Andreas Gerken, Michael Spranger
Continuous Value Iteration (CVI) Reinforcement Learning and Imaginary Experience Replay (IER) for learning multi-goal, continuous action and state space controllers. CoRR (2019)
Florian Schmid, Justine Thielemann, Anna Mantwill, Jian Xi, Dirk Labudde, Michael Spranger
FoSIL - Offensive language classification of German tweets combining SVMs and deep learning techniques. KONVENS (2019)
Samy Badreddine, Michael Spranger
Injecting Prior Knowledge for Transfer Learning into Reinforcement Learning Algorithms using Logic Tensor Networks. NeSy@IJCAI (2019)
Michael Spranger, Tadahiro Taniguchi, Angelo Cangelosi
Learning to Communicate: Challenges in Language Learning by AI, Robots and Humans (NII Shonan Meeting 150). NII Shonan Meet. Rep. 2019 (2019)
Artur S. d'Avila Garcez, Marco Gori, Luís C. Lamb, Luciano Serafini, Michael Spranger, Son N. Tran
Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning. CoRR (2019)
Samy Badreddine, Michael Spranger
Injecting Prior Knowledge for Transfer Learning into Reinforcement Learning Algorithms using Logic Tensor Networks. CoRR (2019)
Franz Bellmann, Lea Bunzel, Christoph Demus, Lisa Fellendorf, Olivia Gräupner, Qiuyi Hu, Tamara Lange, Alica Stuhr, Jian Xi, Dirk Labudde, Michael Spranger
Multi-Label Classification of Blurbs with SVM Classifier Chains. KONVENS (2019)
Artur S. d'Avila Garcez, Marco Gori, Luís C. Lamb, Luciano Serafini, Michael Spranger, Son N. Tran
Neural-symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning. FLAP 6 (4) (2019)
Andreas Gerken, Michael Spranger
Continuous Value Iteration (CVI) Reinforcement Learning and Imaginary Experience Replay (IER) For Learning Multi-Goal, Continuous Action and State Space Controllers. ICRA (2019)
Xavier Hinaut, Michael Spranger
Learning to Parse Grounded Language using Reservoir Computing. ICDL-EPIROB (2019)
Pontus Loviken, Nikolas Hemion, Alban Laflaquière, Michael Spranger, Angelo Cangelosi
Online Learning of Body Orientation Control on a Humanoid Robot Using Finite Element Goal Babbling. IROS (2018)
Michael A. Arbib, Nancy Chang, Peter F. Dominey, Victor Barrès, Michael Spranger
Can We Already Conceive of a Computational Construction Grammar that is Adequate to Address the Data of Neurolinguistics? AAAI Spring Symposia (2017)
Wojciech Kusa, Michael Spranger
External Evaluation of Event Extraction Classifiers for Automatic Pathway Curation: An extended study of the mTOR pathway. BioNLP (2017)
Wojciech Kusa, Michael Spranger
External Evaluation of Event Extraction Classifiers for Automatic Pathway Curation: An extended study of the mTOR pathway. CoRR (2017)
Michael Spranger
Usage-Based Grounded Construction Learning - A Computational Model. AAAI Spring Symposia (2017)
Jens Nevens, Michael Spranger
Computational models of tutor feedback in language acquisition. ICDL-EPIROB (2017)
Jens Nevens, Michael Spranger
Computational Models of Tutor Feedback in Language Acquisition. CoRR (2017)
Jens Nevens, Michael Spranger
Impact of Tutoring Strategies in Grounded Lexicon Learning. ICSR (2017)
Michael Spranger, Jakob Suchan, Mehul Bhatt, Manfred Eppe
Grounding Dynamic Spatial Relations for Embodied (Robot) Interaction. CoRR (2016)
Michael Spranger, Sucheendra K. Palaniappan, Samik Ghosh
Measuring the State of the Art of Automated Pathway Curation Using Graph Algorithms - A Case Study of the mTOR Pathway. CoRR (2016)
Michael Spranger, Katrien Beuls
Referential Uncertainty and Word Learning in High-dimensional, Continuous Meaning Spaces. CoRR (2016)
Michael Spranger
Grounded Lexicon Acquisition - Case Studies in Spatial Language. CoRR (2016)
Michael Spranger, Sucheendra K. Palaniappan, Samik Ghosh
Extracting Biological Pathway Models From NLP Event Representations. CoRR (2016)
Mehul Bhatt, Esra Erdem, Fredrik Heintz, Michael Spranger
Cognitive robotics. J. Exp. Theor. Artif. Intell. 28 (5) (2016)
Michael Spranger, Jakob Suchan, Mehul Bhatt
Robust Natural Language Processing - Combining Reasoning, Cognitive Semantics, and Construction Grammar for Spatial Language. IJCAI (2016)
Michael Spranger, Jakob Suchan, Mehul Bhatt
Robust Natural Language Processing - Combining Reasoning, Cognitive Semantics and Construction Grammar for Spatial Language. CoRR (2016)
Michael Spranger, Katrien Beuls
Referential uncertainty and word learning in high-dimensional, continuous meaning spaces. ICDL-EPIROB (2016)
Michael Spranger, Sucheendra K. Palaniappan, Samik Ghosh
Measuring the State of the Art of Automated Pathway Curation Using Graph Algorithms - A Case Study of the mTOR Pathway. BioNLP@ACL (2016)
Michael Spranger
Procedural semantics for autonomous robots - a case study in locative spatial language. IROS (2015)
Michael Spranger, Luc Steels
Co-Acquisition of Syntax and Semantics - An Investigation in Spatial Language. IJCAI (2015)
Michael Spranger
Incremental grounded language learning in robot-robot interactions - Examples from spatial language. ICDL-EPIROB (2015)
Michael Spranger, Sucheendra K. Palaniappan, Samik Ghosh
Extracting Biological Pathway Models From NLP Event Representations. BioNLP@IJCNLP (2015)
Yana Knight, Michael Spranger, Luc Steels
A Vector Representation of Fluid Construction Grammar Using Holographic Reduced Representations. EAPCogSci (2015)
Michael Spranger, Luc Steels
Discovering communication through ontogenetic ritualisation. ICDL-EPIROB (2014)
Michael Spranger, Jakob Suchan, Mehul Bhatt, Manfred Eppe
Grounding Dynamic Spatial Relations for Embodied (Robot) Interaction. PRICAI (2014)
Michael Spranger
Evolutionary Explanations for Spatial Language - A Case Study on Landmarks. ECAL (2013)
Michael Spranger
Evolving Grounded Spatial Language Strategies. Künstliche Intell. 27 (2) (2013)
Michael Spranger
Grounded lexicon acquisition - Case studies in spatial language. ICDL-EPIROB (2013)
Simon Pauw, Michael Spranger
Embodied Quantifiers. ESSLLI Student Sessions (2011)
Michael Spranger
Recruitment, selection and alignment of spatial language strategies. ECAL (2011)
Michael Spranger, Martin Loetzsch, Simon Pauw
Open-ended Grounded Semantics. ECAI (2010)
Kateryna Gerasymova, Michael Spranger
Acquisition of Grammar in Autonomous Artificial Systems. ECAI (2010)
Michael Spranger, Christian Thiele, Manfred Hild
Integrating high-level cognitive systems with sensorimotor control. Adv. Eng. Informatics 24 (1) (2010)
Luc Steels, Michael Spranger
How Experience of the Body Shapes Language about Space. IJCAI (2009)
Michael Spranger, Sebastian Höfer, Manfred Hild
Biologically inspired posture recognition and posture change detection for humanoid robots. ROBIO (2009)
Luc Steels, Michael Spranger
Can Body Language Shape Body Image? ALIFE (2008)
Luc Steels, Michael Spranger
The robot in the mirror. Connect. Sci. 20 (4) (2008)
Heinrich Mellmann, Matthias Jüngel, Michael Spranger
Using reference objects to improve vision-based bearing measurements. IROS (2008)
Matthias Jüngel, Heinrich Mellmann, Michael Spranger
Improving Vision-Based Distance Measurements Using Reference Objects. RoboCup (2007)
Jan Hoffmann, Michael Spranger, Daniel Göhring, Matthias Jüngel, Hans-Dieter Burkhard
Further Studies on the Use of Negative Information in Mobile Robot Localization. ICRA (2006)
Jan Hoffmann, Michael Spranger, Daniel Göhring, Matthias Jüngel
Making use of what you don't see: negative information in Markov localization. IROS (2005)
Jan Hoffmann, Michael Spranger, Daniel Göhring, Matthias Jüngel
Exploiting the Unexpected: Negative Evidence Modeling and Proprioceptive Motion Modeling for Improved Markov Localization. RoboCup (2005)