Making use of what you don't see: negative information in Markov localization. - Jan Hoffmann 001; Michael Spranger; Daniel Göhring; Matthias Jüngel (IROS, 2005)

Exploiting the Unexpected: Negative Evidence Modeling and Proprioceptive Motion Modeling for Improved Markov Localization. - Jan Hoffmann 001; Michael Spranger; Daniel Göhring; Matthias Jüngel (RoboCup, 2005)

Further Studies on the Use of Negative Information in Mobile Robot Localization. - Jan Hoffmann 001; Michael Spranger; Daniel Göhring; Matthias Jüngel; Hans-Dieter Burkhard (ICRA, 2006)

Improving Vision-Based Distance Measurements Using Reference Objects. - Matthias Jüngel; Heinrich Mellmann; Michael Spranger (RoboCup, 2007)

Can Body Language Shape Body Image? - Luc Steels; Michael Spranger (ALIFE, 2008)

Using reference objects to improve vision-based bearing measurements. - Heinrich Mellmann; Matthias Jüngel; Michael Spranger (IROS, 2008)

The robot in the mirror. - Luc Steels; Michael Spranger (Connect. Sci., 2008)

How Experience of the Body Shapes Language about Space. - Luc Steels; Michael Spranger (IJCAI, 2009)

Biologically inspired posture recognition and posture change detection for humanoid robots. - Michael Spranger; Sebastian Höfer; Manfred Hild (ROBIO, 2009)

Acquisition of Grammar in Autonomous Artificial Systems. - Kateryna Gerasymova; Michael Spranger (ECAI, 2010)

Open-ended Grounded Semantics. - Michael Spranger; Martin Loetzsch; Simon Pauw (ECAI, 2010)

Integrating high-level cognitive systems with sensorimotor control. - Michael Spranger; Christian Thiele; Manfred Hild (Adv. Eng. Informatics, 2010)

Recruitment, selection and alignment of spatial language strategies. - Michael Spranger (ECAL, 2011)

Embodied Quantifiers. - Simon Pauw; Michael Spranger (ESSLLI Student Sessions, 2011)

An Experiment in Temporal Language Learning. - Kateryna Gerasymova; Michael Spranger (Language Grounding in Robots, 2012)

Myon, a New Humanoid. - Manfred Hild; Torsten Siedel; Christian Benckendorff; Christian Thiele; Michael Spranger (Language Grounding in Robots, 2012)

Posture Recognition Based on Slow Feature Analysis. - Sebastian Höfer; Michael Spranger; Manfred Hild (Language Grounding in Robots, 2012)

A Perceptual System for Language Game Experiments. - Michael Spranger; Martin Loetzsch; Luc Steels (Language Grounding in Robots, 2012)

Dealing with Perceptual Deviation: Vague Semantics for Spatial Language and Quantification. - Michael Spranger; Simon Pauw (Language Grounding in Robots, 2012)

Open-ended Procedural Semantics. - Michael Spranger; Simon Pauw; Martin Loetzsch; Luc Steels (Language Grounding in Robots, 2012)

Emergent Action Language on Real Robots. - Luc Steels; Michael Spranger; Remi van Trijp; Sebastian Höfer; Manfred Hild (Language Grounding in Robots, 2012)

Evolutionary Explanations for Spatial Language - A Case Study on Landmarks. - Michael Spranger (ECAL, 2013)

Grounded lexicon acquisition - Case studies in spatial language. - Michael Spranger (ICDL-EPIROB, 2013)

Evolving Grounded Spatial Language Strategies. - Michael Spranger (Künstliche Intell., 2013)

Discovering communication through ontogenetic ritualisation. - Michael Spranger; Luc Steels (ICDL-EPIROB, 2014)

Grounding Dynamic Spatial Relations for Embodied (Robot) Interaction. - Michael Spranger; Jakob Suchan; Mehul Bhatt; Manfred Eppe (PRICAI, 2014)

Extracting Biological Pathway Models From NLP Event Representations. - Michael Spranger; Sucheendra K. Palaniappan; Samik Ghosh (BioNLP@IJCNLP, 2015)

A Vector Representation of Fluid Construction Grammar Using Holographic Reduced Representations. - Yana Knight; Michael Spranger; Luc Steels (EAPCogSci, 2015)

Incremental grounded language learning in robot-robot interactions - Examples from spatial language. - Michael Spranger (ICDL-EPIROB, 2015)

Co-Acquisition of Syntax and Semantics - An Investigation in Spatial Language. - Michael Spranger; Luc Steels (IJCAI, 2015)

Procedural semantics for autonomous robots - a case study in locative spatial language. - Michael Spranger (IROS, 2015)

Measuring the State of the Art of Automated Pathway Curation Using Graph Algorithms - A Case Study of the mTOR Pathway. - Michael Spranger; Sucheendra K. Palaniappan; Samik Ghosh (BioNLP@ACL, 2016)

Referential uncertainty and word learning in high-dimensional, continuous meaning spaces. - Michael Spranger; Katrien Beuls (ICDL-EPIROB, 2016)

Robust Natural Language Processing - Combining Reasoning, Cognitive Semantics, and Construction Grammar for Spatial Language. - Michael Spranger; Jakob Suchan; Mehul Bhatt (IJCAI, 2016)

Cognitive robotics. - Mehul Bhatt; Esra Erdem 001; Fredrik Heintz; Michael Spranger (J. Exp. Theor. Artif. Intell., 2016)

Can We Already Conceive of a Computational Construction Grammar that is Adequate to Address the Data of Neurolinguistics? - Michael A. Arbib; Nancy Chang; Peter F. Dominey; Victor Barrès; Michael Spranger (AAAI Spring Symposia, 2017)

Usage-Based Grounded Construction Learning - A Computational Model. - Michael Spranger (AAAI Spring Symposia, 2017)

External Evaluation of Event Extraction Classifiers for Automatic Pathway Curation: An extended study of the mTOR pathway. - Wojciech Kusa; Michael Spranger (BioNLP, 2017)

Computational models of tutor feedback in language acquisition. - Jens Nevens; Michael Spranger (ICDL-EPIROB, 2017)

Impact of Tutoring Strategies in Grounded Lexicon Learning. - Jens Nevens; Michael Spranger (ICSR, 2017)

Online Learning of Body Orientation Control on a Humanoid Robot Using Finite Element Goal Babbling. - Pontus Loviken; Nikolas Hemion; Alban Laflaquière; Michael Spranger; Angelo Cangelosi (IROS, 2018)

Learning to Parse Grounded Language using Reservoir Computing. - Xavier Hinaut; Michael Spranger (ICDL-EPIROB, 2019)

Continuous Value Iteration (CVI) Reinforcement Learning and Imaginary Experience Replay (IER) For Learning Multi-Goal, Continuous Action and State Space Controllers. - Andreas Gerken; Michael Spranger (ICRA, 2019)

Multi-Label Classification of Blurbs with SVM Classifier Chains. - Franz Bellmann; Lea Bunzel; Christoph Demus; Lisa Fellendorf; Olivia Gräupner; Qiuyi Hu; Tamara Lange; Alica Stuhr; Jian Xi; Dirk Labudde; Michael Spranger (KONVENS, 2019)

FoSIL - Offensive language classification of German tweets combining SVMs and deep learning techniques. - Florian Schmid; Justine Thielemann; Anna Mantwill; Jian Xi; Dirk Labudde; Michael Spranger (KONVENS, 2019)

Injecting Prior Knowledge for Transfer Learning into Reinforcement Learning Algorithms using Logic Tensor Networks. - Samy Badreddine; Michael Spranger (NeSy@IJCAI, 2019)

Neural-symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning. - Artur S. d'Avila Garcez; Marco Gori; Luís C. Lamb; Luciano Serafini; Michael Spranger; Son N. Tran (FLAP, 2019)

Learning to Communicate: Challenges in Language Learning by AI, Robots and Humans (NII Shonan Meeting 150). - Michael Spranger; Tadahiro Taniguchi; Angelo Cangelosi (NII Shonan Meet. Rep., 2019)

Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation. - Uchenna Akujuobi; Jun Chen 021; Mohamed Elhoseiny; Michael Spranger; Xiangliang Zhang 001 (NeurIPS, 2020)

Assessing SATNet's Ability to Solve the Symbol Grounding Problem. - Oscar Chang; Lampros Flokas; Hod Lipson; Michael Spranger (NeurIPS, 2020)

Guest Editorial Special Issue on Multidisciplinary Perspectives on Mechanisms of Language Learning. - Malte Schilling; Katharina J. Rohlfing; Paul Vogt; Chen Yu 001; Michael Spranger (IEEE Trans. Cogn. Dev. Syst., 2020)

AIxFood'21: 3rd Workshop on AIxFood. - Ricardo Guerrero; Michael Spranger; Shuqiang Jiang; Chong-Wah Ngo (ACM Multimedia, 2021)

Extending Real Logic with Aggregate Functions. - Samy Badreddine; Michael Spranger (NeSy, 2021)

RecipeBowl: A Cooking Recommender for Ingredients and Recipes Using Set Transformer. - Keonwoo Kim; Donghyeon Park; Michael Spranger; Kana Maruyama; Jaewoo Kang (IEEE Access, 2021)

The Emergence of Abstract and Episodic Neurons in Episodic Meta-RL. - Badr AlKhamissi; Muhammad N. ElNokrashy; Michael Spranger (CoRR, 2021)

Expert Human-Level Driving in Gran Turismo Sport Using Deep Reinforcement Learning with Image-based Representation. - Ryuji Imamura; Takuma Seno; Kenta Kawamoto; Michael Spranger (CoRR, 2021)

Editorial: Language and Robotics. - Tadahiro Taniguchi; Takato Horii; Xavier Hinaut; Michael Spranger; Daichi Mochihashi; Takayuki Nagai (Frontiers Robotics AI, 2021)

Logic Tensor Networks: Theory and Applications. - Luciano Serafini; Artur S. d'Avila Garcez; Samy Badreddine; Ivan Donadello; Michael Spranger; Federico Bianchi 001 (Neuro-Symbolic Artificial Intelligence, 2021)

FoSIL at CheckThat!-2022: Using Human Behaviour-Based Optimization for Text Classification. - Andy Ludwig; Jenny Felser; Jian Xi; Dirk Labudde; Michael Spranger (CLEF (Working Notes), 2022)

Recommendation of Query Terms for Colloquial Texts in Forensic Text Analysis. - Jenny Felser; Jian Xi; Christoph Demus; Dirk Labudde; Michael Spranger (GI-Jahrestagung, 2022)

Interpretable Relational Representations for Food Ingredient Recommendation Systems. - Kana Maruyama; Michael Spranger (ICCC, 2022)

Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling. - Junyuan Hong; Lingjuan Lyu; Jiayu Zhou; Michael Spranger (NeurIPS, 2022)

Logic Tensor Networks. - Samy Badreddine; Artur S. d'Avila Garcez; Luciano Serafini; Michael Spranger (Artif. Intell., 2022)

MA-Dreamer: Coordination and communication through shared imagination. - Kenzo Lobos-Tsunekawa; Akshay Srinivasan; Michael Spranger (CoRR, 2022)

Feasible and Desirable Counterfactual Generation by Preserving Human Defined Constraints. - Homayun Afrabandpey; Michael Spranger (CoRR, 2022)

Challenges and Opportunities of Applying Reinforcement Learning to Autonomous Racing. - Peter R. Wurman; Peter Stone 001; Michael Spranger (IEEE Intell. Syst., 2022)

MoNA: A Forensic Analysis Platform for Mobile Communication. - Michael Spranger; Jian Xi; Lukas Jaeckel; Jenny Felser; Dirk Labudde (Künstliche Intell., 2022)

Outracing champion Gran Turismo drivers with deep reinforcement learning. - Peter R. Wurman; Samuel Barrett; Kenta Kawamoto; James MacGlashan; Kaushik Subramanian; Thomas J. Walsh 001; Roberto Capobianco; Alisa Devlic; Franziska Eckert; Florian Fuchs 004; Leilani Gilpin; Piyush Khandelwal; et al. (Nat., 2022)

Innovation Paths for Machine Learning in Robotics [Industry Activities]. - Freek Stulp; Michael Spranger; Kim Listmann; Stéphane Doncieux; Moritz Tenorth; George Konidaris 002; Pieter Abbeel (IEEE Robotics Autom. Mag., 2022)

T-PAIR: Temporal Node-Pair Embedding for Automatic Biomedical Hypothesis Generation. - Uchenna Akujuobi; Michael Spranger; Sucheendra K. Palaniappan; Xiangliang Zhang 001 (IEEE Trans. Knowl. Data Eng., 2022)

Editorial: Constructive approach to spatial cognition in intelligent robotics. - Akira Taniguchi; Michael Spranger; Hiroshi Yamakawa; Tetsunari Inamura (Frontiers Neurorobotics, 2022)

FoSIL at PAN'23: Trigger Detection with a Two Stage Topic Classifier. - Jenny Felser; Christoph Demus; Dirk Labudde; Michael Spranger (CLEF (Working Notes), 2023)

Outracing Champion Gran Turismo Drivers with Deep Reinforcement Learning. - Michael Spranger (ICAART, 2023)

T-PAIR: Temporal Node pair Embedding for Automatic Biomedical Hypothesis Generation (Extended abstract). - Uchenna Akujuobi; Michael Spranger; Sucheendra K. Palaniappan; Xiangliang Zhang 001 (ICDE, 2023)

MECTA: Memory-Economic Continual Test-Time Model Adaptation. - Junyuan Hong; Lingjuan Lyu; Jiayu Zhou; Michael Spranger (ICLR, 2023)

MocoSFL: enabling cross-client collaborative self-supervised learning. - Jingtao Li; Lingjuan Lyu; Daisuke Iso; Chaitali Chakrabarti; Michael Spranger (ICLR, 2023)

logLTN: Differentiable Fuzzy Logic in the Logarithm Space. - Samy Badreddine; Luciano Serafini; Michael Spranger (CoRR, 2023)

Interest-Driven Exploration With Observational Learning for Developmental Robots. - Rania Rayyes; Heiko Donat; Jochen J. Steil; Michael Spranger (IEEE Trans. Cogn. Dev. Syst., 2023)

Forensic Communication Analysis: Challenges and Opportunities. - Jian Xi; Lukas Jaeckel; Michael Spranger; Melanie Siegel; Dirk Labudde (CSR, 2024)

Semi-supervised topic modelling as a tool for hypothesis-driven forensic communication analysis. - Jenny Felser; Michael Spranger (INFORMATIK, 2024)

Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization. - Yuhang Li 001; Xin Dong 009; Chen Chen 043; Jingtao Li; Yuxin Wen; Michael Spranger; Lingjuan Lyu (CoRR, 2024)

Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget. - Vikash Sehwag; Xianghao Kong; Jingtao Li; Michael Spranger; Lingjuan Lyu (CVPR, 2025)

Argus: A Compact and Versatile Foundation Model for Vision. - Weiming Zhuang; Chen Chen 043; Zhizhong Li; Sina Sajadmanesh; Jingtao Li; Jiabo Huang; Vikash Sehwag; Vivek Sharma 001; Hirotaka Shinozaki; Felan Carlo Garcia; Yihao Zhan; Naohiro Adachi; et al. (CVPR, 2025)

Towards Interpretable Topic Modelling as a Tool for Hypothesis-Driven Forensic Communication Analysis. - Jenny Felser; Michael Spranger (DFDS, 2025)

Forensic analysis of Telegram Messenger on iOS smartphones. - Lukas Jaeckel; Michael Spranger; Dirk Labudde (Digit. Investig., 2025)

Towards a joint semantic analysis in mobile forensics environments. - Jian Xi; Melanie Siegel; Dirk Labudde; Michael Spranger (Forensic Sci. Int. Digit. Investig., 2025)