| 2026 | AAAI | Refine and Align: Confidence Calibration Through Multi-Agent Interaction in VQA. | Ayush Pandey, Jai Bardhan, Ishita Jain, Ramya S. Hebbalaguppe, Rohan Raju Dhanakshirur, Lovekesh Vig |
| 2025 | ACL | AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research. | Yilun Zhao, Weiyuan Chen, Zhijian Xu, Manasi Patwardhan, Chengye Wang, Yixin Liu, Lovekesh Vig, Arman Cohan |
| 2025 | ACL | MIR: Methodology Inspiration Retrieval for Scientific Research Problems. | Aniketh Garikaparthi, Manasi Patwardhan, Aditya Sanjiv Kanade, Aman Hassan, Lovekesh Vig, Arman Cohan |
| 2025 | ACL | IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery. | Aniketh Garikaparthi, Manasi Patwardhan, Lovekesh Vig, Arman Cohan |
| 2025 | ACL | Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers. | Zhijian Xu, Yilun Zhao, Manasi Patwardhan, Lovekesh Vig, Arman Cohan |
| 2025 | ICDM | Retrieval and Augmentation of Domain Knowledge for Text-to-SQL Semantic Parsing. | Manasi Patwardhan, Ayush Agarwal, Shabbirhussain Bhaisaheb, Aseem Arora, Lovekesh Vig, Sunita Sarawagi |
| 2024 | AAAI | Generating Novel Leads for Drug Discovery Using LLMs with Logical Feedback. | Shreyas Bhat Brahmavar, Ashwin Srinivasan, Tirtharaj Dash, Sowmya Ramaswamy Krishnan, Lovekesh Vig, Arijit Roy, Raviprasad Aduri |
| 2024 | ECCV | Fashion Attribute Extraction Under an Evolving Ontology. | Aditya Kanade, Manasi Patwardhan, Mayur Patidar, Lovekesh Vig, Bagyalakshmi Vasudevan |
| 2024 | SIGIR | SCM4SR: Structural Causal Model-based Data Augmentation for Robust Session-based Recommendation. | Muskan Gupta, Priyanka Gupta, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff |
| 2024 | SiggraphA | OrienText: Surface Oriented Textual Image Generation. | Shubham Singh Paliwal, Arushi Jain, Monika Sharma, Vikram Jamwal, Lovekesh Vig |
| 2023 | ACL | Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions. | Mayur Patidar, Prayushi Faldu, Avinash Kumar Singh, Lovekesh Vig, Indrajit Bhattacharya, Mausam |
| 2023 | EACL | Program Synthesis for Complex QA on Charts via Probabilistic Grammar Based Filtered Iterative Back-Translation. | Shabbirhussain Bhaisaheb, Shubham Paliwal, Rajaswa Patil, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff |
| 2023 | ICDAR | Generalization of Fine Granular Extractions from Charts. | Shubham Paliwal, Manasi Patwardhan, Lovekesh Vig |
| 2023 | ICIP | IKD+: Reliable Low Complexity Deep Models for Retinopathy Classification. | Shreyas Bhat Brahmavar, Rohit Rajesh, Tirtharaj Dash, Lovekesh Vig, Tanmay Tulsidas Verlekar, Md Mahmudul Hasan, Tariq Mahmood Khan, Erik Meijering, Ashwin Srinivasan |
| 2023 | IJCAI | Can LLMs solve generative visual analogies? | Shrey Pandit, Gautam Shroff, Ashwin Srinivasan, Lovekesh Vig |
| 2023 | IJCNLP | Can You Translate for Me? Code-Switched Machine Translation with Large Language Models. | Jyotsana Khatri, Vivek Srivastava, Lovekesh Vig |
| 2023 | WACV | Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning. | Rishabh Patra, Ramya Hebbalaguppe, Tirtharaj Dash, Gautam Shroff, Lovekesh Vig |
| 2022 | AAAI | Solving Visual Analogies Using Neural Algorithmic Reasoning (Student Abstract). | Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash |
| 2022 | ACCV | Handling Domain Shift for Lesion Detection via Semi-supervised Domain Adaptation. | Manu Sheoran, Monika Sharma, Meghal Dani, Lovekesh Vig |
| 2022 | FlAIRS | Generating Conceptual Explanations for DL based ECG Classification Model. | Amit Sangroya, Suparshva Jain, Lovekesh Vig, C. Anantaram, Arijit Ukil, Sundeep Khandelwal |
| 2022 | NAACL | Intent Detection and Discovery from User Logs via Deep Semi-Supervised Contrastive Clustering. | Rajat Kumar, Mayur Patidar, Vaibhav Varshney, Lovekesh Vig, Gautam Shroff |
| 2022 | NAACL | Prompt Augmented Generative Replay via Supervised Contrastive Learning for Lifelong Intent Detection. | Vaibhav Varshney, Mayur Patidar, Rajat Kumar, Lovekesh Vig, Gautam Shroff |
| 2022 | NeSy | Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces. | Vishwa Shah, Aditya Sharma, Gautam Shroff, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan |
| 2022 | NeSy | Neural Analogical Reasoning. | Atharv Sonwane, Abhinav Lalwani, Sweta Mahajan, Gautam Shroff, Lovekesh Vig |
| 2021 | BMVC | DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust Universal Lesion Detection. | Manu Sheoran, Meghal Dani, Monika Sharma, Lovekesh Vig |
| 2021 | CIKM | CauSeR: Causal Session-based Recommendations for Handling Popularity Bias. | Priyanka Gupta, Ankit Sharma, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff |
| 2021 | ESANN | TSR-DSAW: Table Structure Recognition via Deep Spatial Association of Words. | Arushi Jain, Shubham Paliwal, Monika Sharma, Lovekesh Vig |
| 2021 | ESANN | Data-Efficient Training of High-Resolution Images in Medical Domain. | Shruti Kunde, Amey Pandit, Kushagra Mahajan, Monika Sharma, Rekha Singhal, Lovekesh Vig |
| 2021 | ICDM | Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions. | Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff |
| 2021 | IJCNN | BCQ4DCA: Budget Constrained Deep Q-Network for Dynamic Campaign Allocation in Computational Advertising. | Manasi Malik, Garima Gupta, Lovekesh Vig, Gautam Shroff |
| 2021 | IJCNN | OSSR-PID: One-Shot Symbol Recognition in P&ID Sheets using Path Sampling and GCN. | Shubham Paliwal, Monika Sharma, Lovekesh Vig |
| 2021 | ILP | Using Domain-Knowledge to Assist Lead Discovery in Early-Stage Drug Design. | Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig, Arijit Roy |
| 2021 | PAKDD | Digitize-PID: Automatic Digitization of Piping and Instrumentation Diagrams. | Shubham Paliwal, Arushi Jain, Monika Sharma, Lovekesh Vig |
| 2020 | CIKM | Guided-LIME: Structured Sampling based Hybrid Approach towards Explaining Blackbox Machine Learning Models. | Amit Sangroya, Mouli Rastogi, C. Anantaram, Lovekesh Vig |
| 2020 | COMAD | Meta-Learning for Few-Shot Time Series Classification. | Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff, Vishnu TV |
| 2020 | CVPR | Font-ProtoNet: Prototypical Network based Font Identification of Document Images in Low Data Regime. | Nikita Goel, Monika Sharma, Lovekesh Vig |
| 2020 | CVPR | Meta-DermDiagnosis: Few-Shot Skin Disease Identification using Meta-Learning. | Kushagra Mahajan, Monika Sharma, Lovekesh Vig |
| 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 |
| 2020 | ESANN | MultiMBNN: Matched and Balanced Causal Inference with Neural Networks. | Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff |
| 2020 | ICDM | CAMTA: Causal Attention Model for Multi-touch Attribution. | Sachin Kumar, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff |
| 2020 | IJCNN | Capsule Based Neural Network Architecture to perform completeness check for Patent Eligibility Process. | Saurabh Srivastava, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Vidya Vikas |
| 2020 | KDD | Hi-CI: Deep Causal Inference in High Dimensions. | Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff |
| 2020 | KDD | Improved Question Answering using Domain Prediction. | Himani Srivastava, Prerna Khurana, Saurabh Srivastava, Vaibhav Varshney, Lovekesh Vig, Puneet Agarwal, Gautam Shroff |
| 2020 | MICCAI | A Case Study of Transfer of Lesion-Knowledge. | Soundarya Krishnan, Rishab Khincha, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan |
| 2020 | MICCAI | CovidDiagnosis: Deep Diagnosis of COVID-19 Patients Using Chest X-Rays. | Kushagra Mahajan, Monika Sharma, Lovekesh Vig, Rishab Khincha, Soundarya Krishnan, Adithya Niranjan, Tirtharaj Dash, Ashwin Srinivasan, Gautam Shroff |
| 2019 | AAAI | Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters. | Kaushal Paneri, Vishnu TV, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff |
| 2019 | ESANN | Fusing Features based on Signal Properties and TimeNet for Time Series Classification. | Arijit Ukil, Pankaj Malhotra, Soma Bandyopadhyay, Tulika Bose, Ishan Sahu, Ayan Mukherjee, Lovekesh Vig, Arpan Pal, Gautam Shroff |
| 2019 | ICDAR | Character Keypoint-Based Homography Estimation in Scanned Documents for Efficient Information Extraction. | Kushagra Mahajan, Monika Sharma, Lovekesh Vig |
| 2019 | ICDAR | TableNet: Deep Learning Model for End-to-end Table Detection and Tabular Data Extraction from Scanned Document Images. | Shubham Singh Paliwal, Vishwanath D, Rohit Rahul, Monika Sharma, Lovekesh Vig |
| 2019 | ICPRAM | Automatic Information Extraction from Piping and Instrumentation Diagrams. | Rohit Rahul, Shubham Paliwal, Monika Sharma, Lovekesh Vig |
| 2019 | IJCNN | ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification. | Kathan Kashiparekh, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff |
| 2019 | IJCNN | ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks. | Monika Sharma, Shikha Gupta, Arindam Chowdhury, Lovekesh Vig |
| 2019 | IJCNN | Hierarchical Capsule Based Neural Network Architecture for Sequence Labeling. | Saurabh Srivastava, Puneet Agarwal, Gautam Shroff, Lovekesh Vig |
| 2019 | NeSy | One-shot Information Extraction from Document Images using Neuro-Deductive Program Synthesis. | Vishal Sunder, Ashwin Srinivasan, Lovekesh Vig, Gautam Shroff, Rohit Rahul |
| 2019 | SIGIR | Sequence and Time Aware Neighborhood for Session-based Recommendations: STAN. | Diksha Garg, Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff |
| 2018 | AAAI | MEETING BOT: Reinforcement Learning for Dialogue Based Meeting Scheduling. | Vishwanath D, Lovekesh Vig, Gautam Shroff, Puneet Agarwal |
| 2018 | ACCV | Deep Reader: Information Extraction from Document Images via Relation Extraction and Natural Language. | Vishwanath D, Rohit Rahul, Gunjan Sehgal, Swati, Arindam Chowdhury, Monika Sharma, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan |
| 2018 | ACCV | Reading Industrial Inspection Sheets by Inferring Visual Relations. | Rohit Rahul, Arindam Chowdhury, Animesh, Samarth Mittal, Lovekesh Vig |
| 2018 | ACCV | Learning to Clean: A GAN Perspective. | Monika Sharma, Abhishek Verma, Lovekesh Vig |
| 2018 | BMVC | An Efficient End-to-End Neural Model for Handwritten Text Recognition. | Arindam Chowdhury, Lovekesh Vig |
| 2018 | CIKM | Automatic Conversational Helpdesk Solution using Seq2Seq and Slot-filling Models. | Mayur Patidar, Puneet Agarwal, Lovekesh Vig, Gautam Shroff |
| 2018 | COMAD | Online anomaly detection with concept drift adaptation using recurrent neural networks. | Sakti Saurav, Pankaj Malhotra, Vishnu TV, Narendhar Gugulothu, Lovekesh Vig, Puneet Agarwal, Gautam Shroff |
| 2018 | ECCV | DrawInAir: A Lightweight Gestural Interface Based on Fingertip Regression. | Gaurav Garg, Srinidhi Hegde, Ramakrishna Perla, Varun Jain, Lovekesh Vig, Ramya Hebbalaguppe |
| 2018 | ECCV | Automatic Classification of Low-Resolution Chromosomal Images. | Swati, Monika Sharma, Lovekesh Vig |
| 2018 | ESANN | Evolutionary RL for Container Loading. | Sarmimala Saikia, Richa Verma, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan |
| 2018 | IJCAI | Using Features From Pre-trained TimeNET For Clinical Predictions. | Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff |
| 2018 | IJCNN | Automatic Chromosome Classification using Deep Attention Based Sequence Learning of Chromosome Bands. | Monika Sharma, Swati, Lovekesh Vig |
| 2018 | ILP | Large-Scale Assessment of Deep Relational Machines. | Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig, Oghenejokpeme I. Orhobor, Ross D. King |
| 2018 | KDD | Resolving Abstract Anaphora Implicitly in Conversational Assistants using a Hierarchically stacked RNN. | Prerna Khurana, Puneet Agarwal, Gautam Shroff, Lovekesh Vig |
| 2017 | CIKM | Hybrid BiLSTM-Siamese network for FAQ Assistance. | Prerna Khurana, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan |
| 2017 | CVPR | Crowdsourcing for Chromosome Segmentation and Deep Classification. | Monika Sharma, Oindrila Saha, Anand Sriraman, Ramya Hebbalaguppe, Lovekesh Vig, Shirish Karande |
| 2017 | EACL | Learning and Knowledge Transfer with Memory Networks for Machine Comprehension. | Mohit Yadav, Lovekesh Vig, Gautam Shroff |
| 2017 | ESANN | TimeNet: Pre-trained deep recurrent neural network for time series classification. | Pankaj Malhotra, Vishnu TV, Lovekesh Vig, Puneet Agarwal, Gautam Shroff |
| 2017 | ICDAR | Information Extraction from Hand-Marked Industrial Inspection Sheets. | Gaurav Gupta, Swati, Monika Sharma, Lovekesh Vig |
| 2017 | IJCNLP | Information Bottleneck Inspired Method For Chat Text Segmentation. | Sunder Vishal, Mohit Yadav, Lovekesh Vig, Gautam Shroff |
| 2017 | ILP | An Investigation into the Role of Domain-Knowledge on the Use of Embeddings. | Lovekesh Vig, Ashwin Srinivasan, Michael Bain, Ankit Verma |
| 2016 | ICMLA | Automatic Container Code Recognition via Spatial Transformer Networks and Connected Component Region Proposals. | Ankit Verma, Monika Sharma, Ramya Hebbalaguppe, Ehtesham Hassan, Lovekesh Vig |
| 2016 | ILP | Generation of Near-Optimal Solutions Using ILP-Guided Sampling. | Ashwin Srinivasan, Gautam Shroff, Lovekesh Vig, Sarmimala Saikia |
| 2016 | ISMAR | An AR Inspection Framework: Feasibility Study with Multiple AR Devices. | Ramakrishna Perla, Ehtesham Hassan, Ramya Hebbalaguppe, Monika Sharma, Gaurav Gupta, Lovekesh Vig, Geetika Sharma, Gautam Shroff |
| 2015 | DSAA | Anomaly detection in ECG time signals via deep long short-term memory networks. | Sucheta Chauhan, Lovekesh Vig |
| 2015 | DSAA | Ensemble of deep long short term memory networks for labelling origin of replication sequences. | Urminder Singh, Sucheta Chauhan, A. Krishnamachari, Lovekesh Vig |
| 2015 | ESANN | Long Short Term Memory Networks for Anomaly Detection in Time Series. | Pankaj Malhotra, Lovekesh Vig, Gautam Shroff, Puneet Agarwal |