Deep Learning based Time Series Forecasting. - Kushagra Agarwal; Lalasa Dheekollu; Gaurav Dhama; Ankur Arora; Siddhartha Asthana; Tanmoy Bhowmik (ICMLA, 2020)

Pandemic spread prediction and healthcare preparedness through financial and mobility data. - Nidhi Mulay; Vikas Bishnoi; Himanshi Charotia; Siddhartha Asthana; Gaurav Dhama; Ankur Arora (ICMLA, 2020)

Improving the performance of Transformer Context Encoders for NER. - Avi Chawla; Nidhi Mulay; Vikas Bishnoi; Gaurav Dhama (FUSION, 2021)

Evolutionary Adversarial Attacks on Payment Systems. - Nishant Kumar; Siddharth Vimal; Kanishka Kayathwal; Gaurav Dhama (ICMLA, 2021)

A Comparative Study of Transformers on Word Sense Disambiguation. - Avi Chawla; Nidhi Mulay; Vikas Bishnoi; Gaurav Dhama; Anil Kumar Singh 001 (ICONIP (5), 2021)

MeTGAN: Memory Efficient Tabular GAN for High Cardinality Categorical Datasets. - Shreyansh Singh; Kanishka Kayathwal; Hardik Wadhwa; Gaurav Dhama (ICONIP (6), 2021)

A Survey on Classical and Deep Learning based Intermittent Time Series Forecasting Methods. - Karthikeswaren R; Kanishka Kayathwal; Gaurav Dhama; Ankur Arora (IJCNN, 2021)

KARL-Trans-NER: Knowledge Aware Representation Learning for Named Entity Recognition using Transformers. - Avi Chawla; Nidhi Mulay; Vikas Bishnoi; Gaurav Dhama (CoRR, 2021)

Application of Deep Reinforcement Learning to Payment Fraud. - Siddharth Vimal; Kanishka Kayathwal; Hardik Wadhwa; Gaurav Dhama (CoRR, 2021)

Optimal Latent Space Forecasting for Large Collections of Short Time Series Using Temporal Matrix Factorization. - Himanshi Charotia; Abhishek Garg; Gaurav Dhama; Naman Maheshwari (CoRR, 2021)

RePS: Relation, Position and Structure aware Entity Alignment. - Anil Surisetty; Deepak Chaurasiya; Nitish Kumar; Alok Singh 008; Gaurav Dhama; Aakarsh Malhotra; Ankur Arora; Vikrant Dey (WWW (Companion Volume), 2022)

Dynamic Temporal Reconciliation by Reinforcement learning. - Himanshi Charotia; Abhishek Garg; Gaurav Dhama; Naman Maheshwari (CoRR, 2022)

Entity Alignment For Knowledge Graphs: Progress, Challenges, and Empirical Studies. - Deepak Chaurasiya; Anil Surisetty; Nitish Kumar; Alok Singh 008; Vikrant Dey; Aakarsh Malhotra; Gaurav Dhama; Ankur Arora (CoRR, 2022)

TETRAA - Trained and Selective Transmutation of Encoder-based Adversarial Attack. - Sarthak Malik; Himanshi Charotia; Gaurav Dhama (IJCNN, 2023)

FraudAmmo: Large Scale Synthetic Transactional Dataset for Payment Fraud Detection. - Karthikeswaren Ramachandran; Kanishka Kayathwal; Hardik Wadhwa; Gaurav Dhama (IJCNN, 2023)