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Michael Witbrock

  1. Dilated Recurrent Neural Networks
    2017/10/05 by Shiyu Chang, Chang, Shiyu, Yang Zhang +17 · 15 citations
    Computer Science · #Advanced Neural Network Applications #Neural Networks and Applications #Machine Learning and ELM
  2. A Systematic Classification of Knowledge, Reasoning, and Context within\n the ARC Dataset
    2018/06/01 by Michael Boratko, Harshit Padigela, Boratko, Michael +23 · 11 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Topic Modeling #Natural Language Processing Techniques #Biomedical Text Mining and Ontologies
  3. Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks
    2018/04/03 by Kun Xu, Lingfei Wu, Xu, Kun +9 · 21 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Topic Modeling
  4. Large Language Models Are Not Strong Abstract Reasoners
    2023/05/31 by G. Gendron, Qiming Bao, Gendron, Gaël +5 · 14 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.2 #I.2.3 #I.2.7 #I.5.1 #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  5. Word Mover's Embedding: From Word2Vec to Document Embedding
    2018/10/30 by Lingfei Wu, Ian En-Hsu Yen, Wu, Lingfei +13 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Text and Document Classification Technologies #Topic Modeling
  6. Random Warping Series: A Random Features Method for Time-Series Embedding
    2018/09/14 by Lingfei Wu, Ian En-Hsu Yen, Wu, Lingfei +9 · 3 citations
    Computer Science · #Time Series Analysis and Forecasting #Anomaly Detection Techniques and Applications #Face and Expression Recognition
  7. Using Large Language Models for the Interpretation of Building Regulations
    2024/07/26 by Stefan Fuchs, Michael Witbrock, Fuchs, Stefan +5 · 5 citations
    Engineering · #Artificial Intelligence (cs.AI) #BIM and Construction Integration #Computation and Language (cs.CL) #FOS: Computer and information sciences
  8. Adversarial Inverse Reinforcement Learning for Mean Field Games
    2021/04/29 by Yang Chen, Libo Zhang, Chen, Yang +5 · 2 citations
    Decision Sciences · #Innovation Diffusion and Forecasting
  9. D2KE: From Distance to Kernel and Embedding
    2018/02/14 by Lingfei Wu, Wu, Lingfei, Ian En-Hsu Yen +7 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
  10. Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models
    2023/09/19 by Qiming Bao, Bao, Qiming, Juho Leinonen +15 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Online Learning and Analytics #Topic Modeling
  11. Recurrence over Video Frames (RoVF) for the Re-identification of Meerkats
    2024/06/18 by Mitchell Rogers, K Knowles, Rogers, Mitchell +17 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences
  12. Large Language Models as Common-Sense Heuristics
    2025/01/31 by Andrey Borro, Borro, Andrey, Patricia Riddle +5 · 1 citation
    Computer Science · Business, Management and Accounting · #Semantic Web and Ontologies #Business Process Modeling and Analysis #Multi-Agent Systems and Negotiation