Arnav Wadhwa

According to our database, Arnav Wadhwa authored at least 10 papers between 2020 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading.

Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah

Proceedings of the WWW '21: The Web Conference 2021, 2021

Modeling financial uncertainty with multivariate temporal entropy-based curriculums.

Ramit Sawhney, Arnav Wadhwa, Ayush Mangal, Vivek Mittal, Shivam Agarwal, Rajiv Ratn Shah

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Hyperbolic Online Time Stream Modeling.

Ramit Sawhney, Shivam Agarwal, Megh Thakkar, Arnav Wadhwa, Rajiv Ratn Shah

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Quantitative Day Trading from Natural Language using Reinforcement Learning.

Ramit Sawhney, Arnav Wadhwa, Shivam Agarwal, Rajiv Ratn Shah

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

TEC: A Time Evolving Contextual Graph Model for Speaker State Analysis in Political Debates.

Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

FAST: Financial News and Tweet Based Time Aware Network for Stock Trading.

Ramit Sawhney, Arnav Wadhwa, Shivam Agarwal, Rajiv Ratn Shah

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach.

Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Tyler Derr, Rajiv Ratn Shah

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting.

Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations.

Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

GPolS: A Contextual Graph-Based Language Model for Analyzing Parliamentary Debates and Political Cohesion.

Ramit Sawhney, Arnav Wadhwa, Shivam Agarwal, Rajiv Ratn Shah

Proceedings of the 28th International Conference on Computational Linguistics, 2020