| 2023 | IJCNLP | Controllable Discovery of Intents: Incremental Deep Clustering Using Semi-Supervised Contrastive Learning. | Mrinal Rawat, Hithesh Sankararaman, Victor Barrs |
| 2021 | PAKDD | ROC Bot: Towards Designing Virtual Command Centre for Energy Management. | Rishi Tiwari, Mohammed Afaque, Amit Sangroya, Mrinal Rawat |
| 2020 | CVPR | Information Extraction from Document Images via FCA based Template Detection and Knowledge Graph Rule Induction. | Mouli Rastogi, Syed Afshan Ali, Mrinal Rawat, Lovekesh Vig, Puneet Agarwal, Gautam Shroff, Ashwin Srinivasan |
| 2019 | IJCAI | Enabling Natural Language Analytics over Relational Data Using Formal Concept Analysis. | C. Anantaram, Mouli Rastogi, Mrinal Rawat, Pratik Saini |
| 2019 | IJCAI | Using Formal Concept Analysis to Explain Black Box Deep Learning Classification Models. | Amit Sangroya, C. Anantaram, Mrinal Rawat, Mouli Rastogi |
| 2019 | PAKDD | Natural Language Business Intelligence Question Answering Through SeqtoSeq Transfer Learning. | Amit Sangroya, Pratik Saini, Mrinal Rawat, Gautam Shroff, C. Anantaram |
| 2018 | AAAI | Automatic Extraction of Domain Specific Latent Beliefs in Customer Complaints to Help Tailor Chatbots. | Amit Sangroya, C. Anantaram, Pratik Saini, Mrinal Rawat |
| 2018 | IJCAI | Repairing ASR output by Artificial Development and Ontology based Learning. | C. Anantaram, Amit Sangroya, Mrinal Rawat, Aishwarya Chhabra |
| 2018 | IJCAI | Extracting Latent Beliefs and using Epistemic Reasoning to Tailor a Chatbot. | Amit Sangroya, C. Anantaram, Pratik Saini, Mrinal Rawat |