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Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations., , and . NeurIPS, (2020)Coupled Graph ODE for Learning Interacting System Dynamics., , and . KDD, page 705-715. ACM, (2021)Ethical Decision-Making for the Inside of Autonomous Buses Moral Dilemmas., , , and . IEEE Trans. Artif. Intell., 5 (10): 5153-5166 (October 2024)An Energy-efficient And Trustworthy Unsupervised Anomaly Detection Framework (EATU) for IIoT., , , , and . ACM Trans. Sens. Networks, 18 (4): 56:1-56:18 (November 2022)DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction., , , , , , , , , and . SIGIR, page 163-172. ACM, (2021)Weakly Supervised Attention for Hashtag Recommendation using Graph Data., , , , and . WWW, page 1038-1048. ACM / IW3C2, (2020)The Smell of Blood: Evaluating Anemia and Bloodshot Symptoms in Web Applications., , and . SEKE, page 141-186. KSI Research Inc. and Knowledge Systems Institute Graduate School, (2019)CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems., , , and . KDD, page 997-1009. ACM, (2023)HOPE: High-order Graph ODE For Modeling Interacting Dynamics., , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 23124-23139. PMLR, (2023)BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations., , , , , , , , , and 1 other author(s). CoRR, (2024)