Summary of Spatial-temporal Large Language Model For Traffic Prediction, by Chenxi Liu et al.
Spatial-Temporal Large Language Model for Traffic Predictionby Chenxi Liu, Sun Yang, Qianxiong Xu, Zhishuai Li,…
Spatial-Temporal Large Language Model for Traffic Predictionby Chenxi Liu, Sun Yang, Qianxiong Xu, Zhishuai Li,…
Explicitly Disentangled Representations in Object-Centric Learningby Riccardo Majellaro, Jonathan Collu, Aske Plaat, Thomas M. MoerlandFirst…
Multi-Agent Reinforcement Learning for Maritime Operational Technology Cyber Securityby Alec Wilson, Ryan Menzies, Neela Morarji,…
Land Cover Image Classificationby Antonio Rangel, Juan Terven, Diana M. Cordova-Esparza, E.A. Chavez-UrbiolaFirst submitted to…
Efficient generative adversarial networks using linear additive-attention Transformersby Emilio Morales-Juarez, Gibran Fuentes-PinedaFirst submitted to arxiv…
Learning Shortcuts: On the Misleading Promise of NLU in Language Modelsby Geetanjali Bihani, Julia Taylor…
Multiple Locally Linear Kernel Machinesby David PicardFirst submitted to arxiv on: 17 Jan 2024CategoriesMain: Machine…
Physics-Informed Calibration of Aeromagnetic Compensation in Magnetic Navigation Systems using Liquid Time-Constant Networksby Favour Nerrise,…
Functional Linear Non-Gaussian Acyclic Model for Causal Discoveryby Tian-Le Yang, Kuang-Yao Lee, Kun Zhang, Joe…
ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate Changeby David Thulke, Yingbo Gao, Petrus Pelser,…