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Arnav Wadhwa
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2020 – today
- 2021
- [c10]Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Tyler Derr, Rajiv Ratn Shah:
Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach. AAAI 2021: 497-504 - [c9]Ramit Sawhney, Arnav Wadhwa, Shivam Agarwal, Rajiv Ratn Shah:
FAST: Financial News and Tweet Based Time Aware Network for Stock Trading. EACL 2021: 2164-2175 - [c8]Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah:
TEC: A Time Evolving Contextual Graph Model for Speaker State Analysis in Political Debates. IJCAI 2021: 3552-3558 - [c7]Ramit Sawhney, Arnav Wadhwa, Shivam Agarwal, Rajiv Ratn Shah:
Quantitative Day Trading from Natural Language using Reinforcement Learning. NAACL-HLT 2021: 4018-4030 - [c6]Ramit Sawhney, Shivam Agarwal, Megh Thakkar, Arnav Wadhwa, Rajiv Ratn Shah:
Hyperbolic Online Time Stream Modeling. SIGIR 2021: 1682-1686 - [c5]Ramit Sawhney, Arnav Wadhwa, Ayush Mangal, Vivek Mittal, Shivam Agarwal, Rajiv Ratn Shah:
Modeling financial uncertainty with multivariate temporal entropy-based curriculums. UAI 2021: 1671-1681 - [c4]Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah:
Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading. WWW 2021: 11-22 - 2020
- [c3]Ramit Sawhney, Arnav Wadhwa, Shivam Agarwal, Rajiv Ratn Shah:
GPolS: A Contextual Graph-Based Language Model for Analyzing Parliamentary Debates and Political Cohesion. COLING 2020: 4847-4859 - [c2]Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah:
Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations. EMNLP (1) 2020: 8415-8426 - [c1]Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah:
Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting. ICDM 2020: 482-491
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