超图神经网络是一种图神经网络的扩展,其可以对超图进行建模和分析,从而更好地处理复杂的非线性结构数据。相比于传统的图神经网络,超图神经网络可以处理多元关系和高阶关系,并在一些应用中表现出更好的性能。 …
Basic Python Programming: Familiarity with Python syntax and libraries like NumPy and Pandas. Linear Algebra: Understanding of matrices, vectors, and operations like dot products and convolutions. Calculus: Basics of derivatives and gradients for optimization. Probability & Statistics: Basic concepts like...
Matheuristics are problem independent frameworks that use mathematical programming tools to obtain high quality heuristic solutions. They are structurally general enough to be applied to different problems with little adaptation to their abstract structure, so they can be considered as new or hybrid metah...
Basic Python Programming: Familiarity with Python syntax and libraries like NumPy and Pandas. Linear Algebra: Understanding of matrices, vectors, and operations like dot products and convolutions. Calculus: Basics of derivatives and gradients for optimization. Probability & Statistics: Basic concepts like...
Levine, S. (2018). Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review.arXiv:1805.00909 Li, X., Serlin, Z., Yang, G., et al. (2019). A formal methods approach to interpretable reinforcement learning for robotic planning.Science Robotics,4(37), eaay6276. ...
Large Language Models in Transportation: A Survey, Tutorial, and Outlook LLMs, VLMs, MLLMs, Transportation, Intelligent Transportation Systems Unifying LLM and Operating System: A Survey Large Language Models, Operating System, Edge Device Deployment, AI Agent Schedule Deep Learning for Time Series ...
• We identify commonly used datasets and tools used in the field. Abstract The advancements in machine learning techniques have encouraged researchers to apply these techniques to a myriad of software engineering tasks that use source code analysis, such as testing and vulnerability detection. Such...
screenshot.png Repository files navigation README Awesome-LLM-Interpretability A curated list of LLM Interpretability related material. ToC Tutorial Concrete Steps to Get Started in Transformer Mechanistic Interpretability[Neel Nanda's blog] Mechanistic Interpretability Quickstart Guide[Neel Nanda's blog] ...
She was the coordinator and the resource person for the open course Data Science using R Programming. She was coordinator for the Student Induction program (2020 − 21). She is recognized as “Mentor for Project-Based Learning ‘PBL’ in Java J2EE”, by the Talent Next program, Wipro (...
Structured streaming programming guide.https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html https://ci.apache.org/projects/flink/flink-docs-master/dev/datastream_api.html Fu M, Agrawal A, Floratou A, Graham B, Jorgensen A, Li M, Lu N, Ramasamy K, Rao S, Wang ...