STRL 2024
Spatio-Temporal Reasoning and Learning 2024

Table of Contents

• Preface
  Summary: There were 9 papers submitted for peer-review to this workshop. Out of these, 7 papers were accepted for this volume, 6 as regular papers and 1 as short paper. Finally, the proceedings were supplemented with 2 keynotes and 2 invited papers.

Keynotes

• Some Connections between Qualitative Spatial Reasoning and Machine Learning (Abstract)
  Anthony G Cohn
• Applications of Spatial and Temporal Reasoning in Cognitive Robotics (Abstract)
  Esra Erdem

Peer-reviewed Papers

• A Spatial Loss Function for Gradient Boosted Trees
  Margot Geerts, Seppe vanden Broucke, Jochen De Weerdt
• A spatiotemporal graph neural network with multi granularity for air quality prediction
  Haibin Liao, Li Yuan, Mou Wu
• Encoding Temporal Statistical-space Priors via Augmented Representation under Data Scarcity
  Insu Choi, Woosung Koh, Gimin Kang, Yuntae Jang, Woo Chang Kim
• Improving Accuracy of Anomaly Detection in Spatial-Temporal Population Data through SHAP Values of Reconstruction Errors
  Ryo Koyama, Tomohiro Mimura, Shin Ishiguro, Keisuke Kiritoshi, Takashi Suzuki, Akira Yamada
• ConvLSTM Neural Network based on Hexagonal Inputs for Spatio-Temporal Forecasting of Traffic Velocities
  Francisco Bahamondes, Billy Peralta, Orietta Nicolis, Andres Bronfman, Alvaro Soto
• SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces
  Jinhyeok Choi, Heehyeon Kim, Minhyeong An, Joyce Jiyoung Whang
• GESA: A GEneral Scenario-Agnostic Reinforcement Learning for Traffic Signal Control
  Haoyuan Jiang, Ziyue Li, Zhishuai Li, Lei Bai, Hangyu Mao, Wolfgang Ketter, Rui Zhao

Invited Papers

• Neuro-symbolic Tuning for Multi-hop Reasoning over Spatial Language (Invited Paper)
  Tanawan Premsri, Parisa Kordjamshidi
• Neurosymbolic Visual Commonsense: On Integrated Reasoning and Learning about Space and Motion in Embodied Multimodal Interaction (Invited Paper)
  Mehul Bhatt