[VLM-Attack-Survey-2024] Paper list and projects for VLM attacks

AI Crash Course to help busy builders catch up to the public frontier of AI research in 2 weeks

Official Implementation of Data-Driven Precipitation Nowcasting Using Satellite Imagery (AAAI2025)

A collection of research papers on foundation models for spatio-temporal data, sorted by domain of applications.

Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."

Autoencoder for Point Clouds

[KDD'2024] "UrbanGPT: Spatio-Temporal Large Language Models"

This repo is for the implementation of CIKM 2023 paper: "Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction"

Unified Training of Universal Time Series Forecasting Transformers

Turns Data and AI algorithms into production-ready web applications in no time.

A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.

Selecting Robust Features for Machine Learning Applica- tions using Multidata Causal Discovery

Align 3D Point Cloud with Multi-modalities for Large Language Models

Awesome papers on 3D anomaly detection and localization

21 Lessons, Get Started Building with Generative AI

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

A list of Graph Causal Learning materials.

Code for the paper "Learning to Schedule Joint Radar-Communication with Deep Multi-Agent Reinforcement Learning" to be published in the IEEE Transactions on Vehicular Technology.

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explana…

Code for the paper "Learning to Schedule Joint Radar-Communication Requests for Optimal Information Freshness" as published in IEEE Transactions on Vehicular Technology 2021.