A Stochastic Time Series Model for Predicting Financial Trends using NLP

no code implementations • 2 Feb 2021 • Pratyush Muthukumar, Jie Zhong

We propose a novel deep learning model called ST-GAN, or Stochastic Time-series Generative Adversarial Network, that analyzes both financial news texts and financial numerical data to predict stock trends.

Generative Adversarial Network Sentiment Analysis +2

Generative Adversarial Imitation Learning for Empathy-based AI

no code implementations • 27 May 2021 • Pratyush Muthukumar, Karishma Muthukumar, Deepan Muthirayan, Pramod Khargonekar

Generative adversarial imitation learning (GAIL) is a model-free algorithm that has been shown to provide strong results in imitating complex behaviors in high-dimensional environments.

Imitation Learning Language Modelling +3

Semi Supervised Meta Learning for Spatiotemporal Learning

no code implementations • 9 Jul 2023 • Faraz Waseem, Pratyush Muthukumar

Broadly, we seek to understand the impact of applying meta-learning to existing state-of-the-art representation learning architectures.

Action Classification Classification +3