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Found 5 papers, 1 papers with code
From Factor Models to Deep Learning: Machine Learning in Reshaping Empirical Asset Pricing
This paper comprehensively reviews the application of machine learning (ML) and AI in finance, specifically in the context of asset pricing.
DataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure
This paper introduces DataFrame question answering (QA), a novel task that utilizes large language models (LLMs) to generate Pandas queries for information retrieval and data analysis on dataframes, emphasizing safe and non-revealing data handling.
SafeLight: A Reinforcement Learning Method toward Collision-free Traffic Signal Control
Traffic signal control is safety-critical for our daily life.
A review of Generative Adversarial Networks (GANs) and its applications in a wide variety of disciplines -- From Medical to Remote Sensing
Therefore in this article we provide a comprehensive overview of the applications of GANs in a wide variety of disciplines.
High Resolution Solar Image Generation using Generative Adversarial Networks
For generating high resolution solar images we use the Pix2PixHD and Pix2Pix algorithms.
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