Lovekesh Vig - RankMe

206 papers A* 8A 7B 21C 4Misc 1Journal 101Unranked 64

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Refine and Align: Confidence Calibration Through Multi-Agent Interaction in VQA. AAAI Ayush Pandey, Jai Bardhan, Ishita Jain, Ramya S. Hebbalaguppe, Rohan Raju Dhanakshirur, Lovekesh Vig
2026	J	`jnl`	Routing End User Queries to Enterprise Databases. CoRR Saikrishna Sudarshan, Tanay Kulkarni, Manasi Patwardhan, Lovekesh Vig, Ashwin Srinivasan, Tanmay Tulsidas Verlekar
2025	—	`conf`	AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research. ACL (1) Yilun Zhao, Weiyuan Chen, Zhijian Xu, Manasi Patwardhan, Chengye Wang, Yixin Liu, Lovekesh Vig, Arman Cohan
2025	J	`jnl`	AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research. CoRR Yilun Zhao, Weiyuan Chen, Zhijian Xu, Manasi Patwardhan, Yixin Liu, Chengye Wang, Lovekesh Vig, Arman Cohan
2025	—	`conf`	Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers. ACL (1) Zhijian Xu, Yilun Zhao, Manasi Patwardhan, Lovekesh Vig, Arman Cohan
2025	J	`jnl`	Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers. CoRR Zhijian Xu, Yilun Zhao, Manasi Patwardhan, Lovekesh Vig, Arman Cohan
2025	J	`jnl`	DBRouting: Routing End User Queries to Databases for Answerability. CoRR Priyangshu Mandal, Manasi Patwardhan, Mayur Patidar, Lovekesh Vig
2025	J	`jnl`	DifCluE: Generating Counterfactual Explanations with Diffusion Autoencoders and modal clustering. CoRR Suparshva Jain, Amit Sangroya, Lovekesh Vig
2025	—	`conf`	IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery. ACL (3) Aniketh Garikaparthi, Manasi Patwardhan, Lovekesh Vig, Arman Cohan
2025	J	`jnl`	IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery. CoRR Aniketh Garikaparthi, Manasi Patwardhan, Lovekesh Vig, Arman Cohan
2025	—	`conf`	MIR: Methodology Inspiration Retrieval for Scientific Research Problems. ACL (1) Aniketh Garikaparthi, Manasi Patwardhan, Aditya Sanjiv Kanade, Aman Hassan, Lovekesh Vig, Arman Cohan
2025	J	`jnl`	MIR: Methodology Inspiration Retrieval for Scientific Research Problems. CoRR Aniketh Garikaparthi, Manasi Patwardhan, Aditya Sanjiv Kanade, Aman Hassan, Lovekesh Vig, Arman Cohan
2025	J	`jnl`	OrienText: Surface Oriented Textual Image Generation. CoRR Shubham Singh Paliwal, Arushi Jain, Monika Sharma, Vikram Jamwal, Lovekesh Vig
2025	J	`jnl`	Refine and Align: Confidence Calibration through Multi-Agent Interaction in VQA. CoRR Ayush Pandey, Jai Bardhan, Ishita Jain, Ramya S. Hebbalaguppe, Rohan Raju Dhanakshirur, Lovekesh Vig
2025	J	`jnl`	ResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research Methodologies. CoRR Shubham Gandhi, Dhruv Shah, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff
2025	—	`conf`	Retrieval and Augmentation of Domain Knowledge for Text-to-SQL Semantic Parsing. ICDM (Workshops) Manasi Patwardhan, Ayush Agarwal, Shabbirhussain Bhaisaheb, Aseem Arora, Lovekesh Vig, Sunita Sarawagi
2025	J	`jnl`	Retrieval and Augmentation of Domain Knowledge for Text-to-SQL Semantic Parsing. CoRR Manasi Patwardhan, Ayush Agarwal, Shabbirhussain Bhaisaheb, Aseem Arora, Lovekesh Vig, Sunita Sarawagi
2025	J	`jnl`	SemSR: Semantics aware robust Session-based Recommendations. CoRR Jyoti Narwariya, Priyanka Gupta, Muskan Gupta, Jyotsana Khatri, Lovekesh Vig
2024	J	`jnl`	Acceleron: A Tool to Accelerate Research Ideation. CoRR Harshit Nigam, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff
2024	—	`conf`	BudgetMLAgent: A Cost-Effective LLM Multi-Agent system for Automating Machine Learning Tasks. AIMLSystems Shubham Gandhi, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff
2024	J	`jnl`	BudgetMLAgent: A Cost-Effective LLM Multi-Agent system for Automating Machine Learning Tasks. CoRR Shubham Gandhi, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff
2024	J	`jnl`	CustomText: Customized Textual Image Generation using Diffusion Models. CoRR Shubham Paliwal, Arushi Jain, Monika Sharma, Vikram Jamwal, Lovekesh Vig
2024	—	`conf`	Fashion Attribute Extraction Under an Evolving Ontology. ECCV Workshops (1) Aditya Kanade, Manasi Patwardhan, Mayur Patidar, Lovekesh Vig, Bagyalakshmi Vasudevan
2024	A*	`conf`	Generating Novel Leads for Drug Discovery Using LLMs with Logical Feedback. AAAI Shreyas Bhat Brahmavar, Ashwin Srinivasan, Tirtharaj Dash, Sowmya Ramaswamy Krishnan, Lovekesh Vig, Arijit Roy, Raviprasad Aduri
2024	J	`jnl`	Guided Diffusion-based Counterfactual Augmentation for Robust Session-based Recommendation. CoRR Muskan Gupta, Priyanka Gupta, Lovekesh Vig
2024	J	`jnl`	Multi-Subject Personalization. CoRR Arushi Jain, Shubham Paliwal, Monika Sharma, Vikram Jamwal, Lovekesh Vig
2024	—	`conf`	OrienText: Surface Oriented Textual Image Generation. SIGGRAPH Asia Technical Communications Shubham Singh Paliwal, Arushi Jain, Monika Sharma, Vikram Jamwal, Lovekesh Vig
2024	A*	`conf`	SCM4SR: Structural Causal Model-based Data Augmentation for Robust Session-based Recommendation. SIGIR Muskan Gupta, Priyanka Gupta, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff
2024	J	`jnl`	SmartFlow: Robotic Process Automation using LLMs. CoRR Arushi Jain, Shubham Paliwal, Monika Sharma, Lovekesh Vig, Gautam Shroff
2024	J	`jnl`	Translating Across Cultures: LLMs for Intralingual Cultural Adaptation. CoRR Pushpdeep Singh, Mayur Patidar, Lovekesh Vig
2024	—	`conf`	Translation of Low-Resource COBOL to Logically Correct and Readable Java leveraging High-Resource Java Refinement. LLM4CODE@ICSE Shubham Gandhi, Manasi Patwardhan, Jyotsana Khatri, Lovekesh Vig, Raveendra Kumar Medicherla
2023	J	`jnl`	Adapt and Decompose: Efficient Generalization of Text-to-SQL via Domain Adapted Least-To-Most Prompting. CoRR Aseem Arora, Shabbirhussain Bhaisaheb, Harshit Nigam, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff
2023	A	`conf`	Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning. WACV Rishabh Patra, Ramya Hebbalaguppe, Tirtharaj Dash, Gautam Shroff, Lovekesh Vig
2023	—	`conf`	Can LLMs solve generative visual analogies? IARML@IJCAI Shrey Pandit, Gautam Shroff, Ashwin Srinivasan, Lovekesh Vig
2023	J	`jnl`	Can Physics Informed Neural Operators Self Improve? CoRR Ritam Majumdar, Amey Varhade, Shirish S. Karande, Lovekesh Vig
2023	—	`conf`	Can You Translate for Me? Code-Switched Machine Translation with Large Language Models. IJCNLP (2) Jyotsana Khatri, Vivek Srivastava, Lovekesh Vig
2023	—	`conf`	Conceptual Explanations of ECG Classification using Large Language Models. AIMLSystems Amit Sangroya, Suparshva Jain, C. Anantaram, Lovekesh Vig
2023	J	`jnl`	DeepEpiSolver: Unravelling Inverse problems in Covid, HIV, Ebola and Disease Transmission. CoRR Ritam Majumdar, Shirish Karande, Lovekesh Vig
2023	—	`conf`	Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions. ACL (1) Mayur Patidar, Prayushi Faldu, Avinash Kumar Singh, Lovekesh Vig, Indrajit Bhattacharya, Mausam
2023	—	`conf`	Domain-Specific Pre-training Improves Confidence in Whole Slide Image Classification. EMBC Soham Rohit Chitnis, Sidong Liu, Tirtharaj Dash, Tanmay Tulsidas Verlekar, Antonio Di Ieva, Shlomo Berkovsky, Lovekesh Vig, Ashwin Srinivasan
2023	J	`jnl`	Domain-Specific Pretraining Improves Confidence in Whole Slide Image Classification. CoRR Soham Rohit Chitnis, Sidong Liu, Tirtharaj Dash, Tanmay Tulsidas Verlekar, Antonio Di Ieva, Shlomo Berkovsky, Lovekesh Vig, Ashwin Srinivasan
2023	—	`conf`	Generalization of Fine Granular Extractions from Charts. ICDAR (2) Shubham Paliwal, Manasi Patwardhan, Lovekesh Vig
2023	J	`jnl`	How important are specialized transforms in Neural Operators? CoRR Ritam Majumdar, Shirish Karande, Lovekesh Vig
2023	J	`jnl`	HyperLoRA for PDEs. CoRR Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig, Venkataramana Runkana
2023	J	`jnl`	IKD+: Reliable Low Complexity Deep Models For Retinopathy Classification. CoRR Shreyas Bhat Brahmavar, Rohit Rajesh, Tirtharaj Dash, Lovekesh Vig, Tanmay Tulsidas Verlekar, Md Mahmudul Hasan, Tariq Mahmood Khan, Erik Meijering, Ashwin Srinivasan
2023	B	`conf`	IKD+: Reliable Low Complexity Deep Models for Retinopathy Classification. ICIP Shreyas Bhat Brahmavar, Rohit Rajesh, Tirtharaj Dash, Lovekesh Vig, Tanmay Tulsidas Verlekar, Md Mahmudul Hasan, Tariq Mahmood Khan, Erik Meijering, Ashwin Srinivasan
2023	J	`jnl`	Knowledge Transfer for Pseudo-code Generation from Low Resource Programming Language. CoRR Ankita Sontakke, Kanika Kalra, Manasi Patwardhan, Lovekesh Vig, Raveendra Kumar Medicherla, Ravindra Naik, Shrishti Pradhan
2023	J	`jnl`	Neuro-symbolic Meta Reinforcement Learning for Trading. CoRR S. I. Harini, Gautam Shroff, Ashwin Srinivasan, Prayushi Faldu, Lovekesh Vig
2023	J	`jnl`	Neuro-symbolic Zero-Shot Code Cloning with Cross-Language Intermediate Representation. CoRR Krishnam Hasija, Shrishti Pradhan, Manasi Patwardhan, Raveendra Kumar Medicherla, Lovekesh Vig, Ravindra Naik
2023	—	`conf`	Ontology Guided Supervised Contrastive Learning For Fine-grained Attribute Extraction From Fashion Images. eCom@SIGIR Shubham Paliwal, Bhagyashree Gaikwad, Mayur Patidar, Manasi Patwardhan, Lovekesh Vig, Meghna Mahajan, Bagya Lakshmi V, Shirish S. Karande
2023	—	`conf`	Program Synthesis for Complex QA on Charts via Probabilistic Grammar Based Filtered Iterative Back-Translation. EACL (Findings) Shabbirhussain Bhaisaheb, Shubham Paliwal, Rajaswa Patil, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff
2023	J	`jnl`	Symbolic Regression for PDEs using Pruned Differentiable Programs. CoRR Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig, Venkataramana Runkana
2023	—	`conf`	X4SR: Post-Hoc Explanations for Session-based Recommendations. eCom@SIGIR Jyoti Narwariya, Priyanka Gupta, Garima Gupta, Lovekesh Vig, Gautam Shroff
2022	—	`conf`	An Efficient Anchor-Free Universal Lesion Detection in Ct-Scans. ISBI Manu Sheoran, Meghal Dani, Monika Sharma, Lovekesh Vig
2022	J	`jnl`	An Efficient Anchor-free Universal Lesion Detection in CT-scans. CoRR Manu Sheoran, Meghal Dani, Monika Sharma, Lovekesh Vig
2022	J	`jnl`	Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning. CoRR Ramya Hebbalaguppe, Rishabh Patra, Tirtharaj Dash, Gautam Shroff, Lovekesh Vig
2022	J	`jnl`	Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions. CoRR Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2022	J	`jnl`	DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust Universal Lesion Detection. CoRR Manu Sheoran, Meghal Dani, Monika Sharma, Lovekesh Vig
2022	J	`jnl`	DRTCI: Learning Disentangled Representations for Temporal Causal Inference. CoRR Garima Gupta, Lovekesh Vig, Gautam Shroff
2022	J	`jnl`	Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions. CoRR Mayur Patidar, Avinash Kumar Singh, Prayushi Faldu, Lovekesh Vig, Indrajit Bhattacharya, Mausam
2022	J	`jnl`	Electricity Consumption Forecasting for Out-of-distribution Time-of-Use Tariffs. CoRR Jyoti Narwariya, Chetan Verma, Pankaj Malhotra, Lovekesh Vig, Easwar Subramanian, Sanjay Bhat
2022	—	`conf`	Exploring Dimensions of Generalizability and Few-shot Transfer for Text-to-SQL Semantic Parsing. TL4NLP Rajaswa Patil, Manasi Patwardhan, Shirish Karande, Lovekesh Vig, Gautam Shroff
2022	Misc	`conf`	Generating Conceptual Explanations for DL based ECG Classification Model. FLAIRS Amit Sangroya, Suparshva Jain, Lovekesh Vig, C. Anantaram, Arijit Ukil, Sundeep Khandelwal
2022	—	`conf`	Handling Domain Shift for Lesion Detection via Semi-supervised Domain Adaptation. ACCV (Workshops) Manu Sheoran, Monika Sharma, Meghal Dani, Lovekesh Vig
2022	—	`conf`	Intent Detection and Discovery from User Logs via Deep Semi-Supervised Contrastive Clustering. NAACL-HLT Rajat Kumar, Mayur Patidar, Vaibhav Varshney, Lovekesh Vig, Gautam Shroff
2022	C	`conf`	Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces. NeSy Vishwa Shah, Aditya Sharma, Gautam Shroff, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan
2022	J	`jnl`	Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces. CoRR Vishwa Shah, Aditya Sharma, Gautam Shroff, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan
2022	J	`jnl`	Learning to Liquidate Forex: Optimal Stopping via Adaptive Top-K Regression. CoRR Diksha Garg, Pankaj Malhotra, Anil Bhatia, Sanjay Bhat, Lovekesh Vig, Gautam Shroff
2022	C	`conf`	Neural Analogical Reasoning. NeSy Atharv Sonwane, Abhinav Lalwani, Sweta Mahajan, Gautam Shroff, Lovekesh Vig
2022	J	`jnl`	Neural Feature-Adaptation for Symbolic Predictions Using Pre-Training and Semantic Loss. CoRR Vedant Shah, Aditya Agrawal, Lovekesh Vig, Ashwin Srinivasan, Gautam Shroff, Tanmay T. Verlekar
2022	J	`jnl`	On NeuroSymbolic Solutions for PDEs. CoRR Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig
2022	—	`conf`	Prompt Augmented Generative Replay via Supervised Contrastive Learning for Lifelong Intent Detection. NAACL-HLT (Findings) Vaibhav Varshney, Mayur Patidar, Rajat Kumar, Lovekesh Vig, Gautam Shroff
2022	J	`jnl`	Real-time Health Monitoring of Heat Exchangers using Hypernetworks and PINNs. CoRR Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig, Venkataramana Runkana
2022	A*	`conf`	Solving Visual Analogies Using Neural Algorithmic Reasoning (Student Abstract). AAAI Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash
2022	J	`jnl`	TSR-DSAW: Table Structure Recognition via Deep Spatial Association of Words. CoRR Arushi Jain, Shubham Paliwal, Monika Sharma, Lovekesh Vig
2021	B	`conf`	BCQ4DCA: Budget Constrained Deep Q-Network for Dynamic Campaign Allocation in Computational Advertising. IJCNN Manasi Malik, Garima Gupta, Lovekesh Vig, Gautam Shroff
2021	A	`conf`	CauSeR: Causal Session-based Recommendations for Handling Popularity Bias. CIKM Priyanka Gupta, Ankit Sharma, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2021	A*	`conf`	Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions. ICDM Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2021	A	`conf`	DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust Universal Lesion Detection. BMVC Manu Sheoran, Meghal Dani, Monika Sharma, Lovekesh Vig
2021	B	`conf`	Data-Efficient Training of High-Resolution Images in Medical Domain. ESANN Shruti Kunde, Amey Pandit, Kushagra Mahajan, Monika Sharma, Rekha Singhal, Lovekesh Vig
2021	J	`jnl`	Deep learning based network similarity for model selection. Data Sci. Kushal Veer Singh, Ajay Kumar Verma, Lovekesh Vig
2021	—	`conf`	Digitize-PID: Automatic Digitization of Piping and Instrumentation Diagrams. PAKDD (Workshops) Shubham Paliwal, Arushi Jain, Monika Sharma, Lovekesh Vig
2021	J	`jnl`	Digitize-PID: Automatic Digitization of Piping and Instrumentation Diagrams. CoRR Shubham Paliwal, Arushi Jain, Monika Sharma, Lovekesh Vig
2021	J	`jnl`	Incorporating symbolic domain knowledge into graph neural networks. Mach. Learn. Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig
2021	B	`conf`	OSSR-PID: One-Shot Symbol Recognition in P&ID Sheets using Path Sampling and GCN. IJCNN Shubham Paliwal, Monika Sharma, Lovekesh Vig
2021	J	`jnl`	OSSR-PID: One-Shot Symbol Recognition in P&ID Sheets using Path Sampling and GCN. CoRR Shubham Paliwal, Monika Sharma, Lovekesh Vig
2021	J	`jnl`	PnPOOD : Out-Of-Distribution Detection for Text Classification via Plug andPlay Data Augmentation. CoRR Mrinal Rawat, Ramya Hebbalaguppe, Lovekesh Vig
2021	J	`jnl`	Solving Visual Analogies Using Neural Algorithmic Reasoning. CoRR Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash
2021	B	`conf`	TSR-DSAW: Table Structure Recognition via Deep Spatial Association of Words. ESANN Arushi Jain, Shubham Paliwal, Monika Sharma, Lovekesh Vig
2021	B	`conf`	Using Domain-Knowledge to Assist Lead Discovery in Early-Stage Drug Design. ILP Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig, Arijit Roy
2021	J	`jnl`	Using Program Synthesis and Inductive Logic Programming to solve Bongard Problems. CoRR Atharv Sonwane, Sharad Chitlangia, Tirtharaj Dash, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan
2020	—	`conf`	A Case Study of Transfer of Lesion-Knowledge. iMIMIC/MIL3ID/LABELS@MICCAI Soundarya Krishnan, Rishab Khincha, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan
2020	J	`jnl`	Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation. CoRR Diksha Garg, Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2020	J	`jnl`	CAMTA: Casual Attention Model for Multi-touch Attribution. CoRR Sachin Kumar, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
2020	—	`conf`	CAMTA: Causal Attention Model for Multi-touch Attribution. ICDM (Workshops) Sachin Kumar, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
2020	B	`conf`	Capsule Based Neural Network Architecture to perform completeness check for Patent Eligibility Process. IJCNN Saurabh Srivastava, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Vidya Vikas
2020	J	`jnl`	Constructing and Evaluating an Explainable Model for COVID-19 Diagnosis from Chest X-rays. CoRR Rishab Khincha, Soundarya Krishnan, Krishnan Guru-Murthy, Tirtharaj Dash, Lovekesh Vig, Ashwin Srinivasan
2020	J	`jnl`	Constructing generative logical models for optimisation problems using domain knowledge. Mach. Learn. Ashwin Srinivasan, Lovekesh Vig, Gautam Shroff
2020	—	`conf`	CovidDiagnosis: Deep Diagnosis of COVID-19 Patients Using Chest X-Rays. TIA@MICCAI Kushagra Mahajan, Monika Sharma, Lovekesh Vig, Rishab Khincha, Soundarya Krishnan, Adithya Niranjan, Tirtharaj Dash, Ashwin Srinivasan, Gautam Shroff
2020	—	`conf`	Font-ProtoNet: Prototypical Network based Font Identification of Document Images in Low Data Regime. CVPR Workshops Nikita Goel, Monika Sharma, Lovekesh Vig
2020	J	`jnl`	Graph Neural Networks for Leveraging Industrial Equipment Structure: An application to Remaining Useful Life Estimation. CoRR Jyoti Narwariya, Pankaj Malhotra, Vishnu TV, Lovekesh Vig, Gautam Shroff
2020	—	`conf`	Guided-LIME: Structured Sampling based Hybrid Approach towards Explaining Blackbox Machine Learning Models. CIKM (Workshops) Amit Sangroya, Mouli Rastogi, C. Anantaram, Lovekesh Vig
2020	J	`jnl`	Handling Variable-Dimensional Time Series with Graph Neural Networks. CoRR Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2020	—	`conf`	Hi-CI: Deep Causal Inference in High Dimensions. CD@KDD Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
2020	J	`jnl`	Hi-CI: Deep Causal Inference in High Dimensions. CoRR Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
2020	—	`conf`	Improved Question Answering using Domain Prediction. Converse@KDD Himani Srivastava, Prerna Khurana, Saurabh Srivastava, Vaibhav Varshney, Lovekesh Vig, Puneet Agarwal, Gautam Shroff
2020	—	`conf`	Improving NMT via Filtered Back Translation. WAT@AAC/IJCNLPL Nikhil Jaiswal, Mayur Patidar, Surabhi Kumari, Manasi Patwardhan, Shirish Karande, Puneet Agarwal, Lovekesh Vig
2020	J	`jnl`	Incorporating Symbolic Domain Knowledge into Graph Neural Networks. CoRR Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig
2020	—	`conf`	Information Extraction from Document Images via FCA based Template Detection and Knowledge Graph Rule Induction. CVPR Workshops Mouli Rastogi, Syed Afshan Ali, Mrinal Rawat, Lovekesh Vig, Puneet Agarwal, Gautam Shroff, Ashwin Srinivasan
2020	—	`conf`	Meta-DermDiagnosis: Few-Shot Skin Disease Identification using Meta-Learning. CVPR Workshops Kushagra Mahajan, Monika Sharma, Lovekesh Vig
2020	—	`conf`	Meta-Learning for Few-Shot Time Series Classification. COMAD/CODS Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff, Vishnu TV
2020	B	`conf`	MultiMBNN: Matched and Balanced Causal Inference with Neural Networks. ESANN Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
2020	J	`jnl`	MultiMBNN: Matched and Balanced Causal Inference with Neural Networks. CoRR Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
2020	J	`jnl`	TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images. CoRR Shubham Paliwal, Vishwanath D, Rohit Rahul, Monika Sharma, Lovekesh Vig
2020	J	`jnl`	Transfer Learning for Clinical Time Series Analysis Using Deep Neural Networks. J. Heal. Informatics Res. Priyanka Gupta, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff
2019	J	`jnl`	A Comparison of Shallow and Deep Learning Methods for Predicting Cognitive Performance of Stroke Patients From MRI Lesion Images. Frontiers Neuroinformatics Sucheta Chauhan, Lovekesh Vig, Michele De Filippo De Grazia, Maurizio Corbetta, Shandar Ahmad, Marco Zorzi
2019	C	`conf`	Automatic Information Extraction from Piping and Instrumentation Diagrams. ICPRAM Rohit Rahul, Shubham Paliwal, Monika Sharma, Lovekesh Vig
2019	J	`jnl`	Automatic Information Extraction from Piping and Instrumentation Diagrams. CoRR Rohit Rahul, Shubham Paliwal, Monika Sharma, Lovekesh Vig
2019	—	`conf`	Character Keypoint-Based Homography Estimation in Scanned Documents for Efficient Information Extraction. CBDAR@ICDAR Kushagra Mahajan, Monika Sharma, Lovekesh Vig
2019	J	`jnl`	Character Keypoint-based Homography Estimation in Scanned Documents for Efficient Information Extraction. CoRR Kushagra Mahajan, Monika Sharma, Lovekesh Vig
2019	B	`conf`	ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks. IJCNN Monika Sharma, Shikha Gupta, Arindam Chowdhury, Lovekesh Vig
2019	J	`jnl`	ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks. CoRR Monika Sharma, Shikha Gupta, Arindam Chowdhury, Lovekesh Vig
2019	B	`conf`	ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification. IJCNN Kathan Kashiparekh, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2019	J	`jnl`	ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification. CoRR Kathan Kashiparekh, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2019	J	`jnl`	Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models. CoRR Vishnu TV, Diksha Garg, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2019	J	`jnl`	ECG anomaly class identification using LSTM and error profile modeling. Comput. Biol. Medicine Sucheta Chauhan, Lovekesh Vig, Shandar Ahmad
2019	—	`conf`	From Monolingual to Multilingual FAQ Assistant using Multilingual Co-training. DeepLo@EMNLP-IJCNLP Mayur Patidar, Surabhi Kumari, Manasi Patwardhan, Shirish Karande, Puneet Agarwal, Lovekesh Vig, Gautam Shroff
2019	B	`conf`	Fusing Features based on Signal Properties and TimeNet for Time Series Classification. ESANN Arijit Ukil, Pankaj Malhotra, Soma Bandyopadhyay, Tulika Bose, Ishan Sahu, Ayan Mukherjee, Lovekesh Vig, Arpan Pal, Gautam Shroff
2019	B	`conf`	Hierarchical Capsule Based Neural Network Architecture for Sequence Labeling. IJCNN Saurabh Srivastava, Puneet Agarwal, Gautam Shroff, Lovekesh Vig
2019	J	`jnl`	Learning to Clean: A GAN Perspective. CoRR Monika Sharma, Abhishek Verma, Lovekesh Vig
2019	J	`jnl`	Logical Explanations for Deep Relational Machines Using Relevance Information. J. Mach. Learn. Res. Ashwin Srinivasan, Lovekesh Vig, Michael Bain
2019	—	`conf`	Meta-Learning for Black-Box Optimization. ECML/PKDD (2) Vishnu TV, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff
2019	J	`jnl`	Meta-Learning for Black-box Optimization. CoRR Vishnu TV, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff
2019	J	`jnl`	Meta-Learning for Few-Shot Time Series Classification. CoRR Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff, Vishnu TV
2019	J	`jnl`	MetaCI: Meta-Learning for Causal Inference in a Heterogeneous Population. CoRR Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
2019	J	`jnl`	NISER: Normalized Item and Session Representations with Graph Neural Networks. CoRR Priyanka Gupta, Diksha Garg, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2019	—	`conf`	One-shot Information Extraction from Document Images using Neuro-Deductive Program Synthesis. NeSy@IJCAI Vishal Sunder, Ashwin Srinivasan, Lovekesh Vig, Gautam Shroff, Rohit Rahul
2019	J	`jnl`	One-shot Information Extraction from Document Images using Neuro-Deductive Program Synthesis. CoRR Vishal Sunder, Ashwin Srinivasan, Lovekesh Vig, Gautam Shroff, Rohit Rahul
2019	A*	`conf`	Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters. AAAI Kaushal Paneri, Vishnu TV, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2019	A*	`conf`	Sequence and Time Aware Neighborhood for Session-based Recommendations: STAN. SIGIR Diksha Garg, Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2019	A	`conf`	TableNet: Deep Learning Model for End-to-end Table Detection and Tabular Data Extraction from Scanned Document Images. ICDAR Shubham Singh Paliwal, Vishwanath D, Rohit Rahul, Monika Sharma, Lovekesh Vig
2019	J	`jnl`	Transfer Learning for Clinical Time Series Analysis using Deep Neural Networks. CoRR Priyanka Gupta, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff
2018	A	`conf`	An Efficient End-to-End Neural Model for Handwritten Text Recognition. BMVC Arindam Chowdhury, Lovekesh Vig
2018	J	`jnl`	An Efficient End-to-End Neural Model for Handwritten Text Recognition. CoRR Arindam Chowdhury, Lovekesh Vig
2018	B	`conf`	Automatic Chromosome Classification using Deep Attention Based Sequence Learning of Chromosome Bands. IJCNN Monika Sharma, Swati, Lovekesh Vig
2018	—	`conf`	Automatic Classification of Low-Resolution Chromosomal Images. ECCV Workshops (6) Swati, Monika Sharma, Lovekesh Vig
2018	A	`conf`	Automatic Conversational Helpdesk Solution using Seq2Seq and Slot-filling Models. CIKM Mayur Patidar, Puneet Agarwal, Lovekesh Vig, Gautam Shroff
2018	—	`conf`	Deep Reader: Information Extraction from Document Images via Relation Extraction and Natural Language. ACCV Workshops Vishwanath D, Rohit Rahul, Gunjan Sehgal, Swati, Arindam Chowdhury, Monika Sharma, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan
2018	J	`jnl`	Deep Reader: Information extraction from Document images via relation extraction and Natural Language. CoRR Vishwanath D, Rohit Rahul, Gunjan Sehgal, Swati, Arindam Chowdhury, Monika Sharma, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan
2018	—	`conf`	DrawInAir: A Lightweight Gestural Interface Based on Fingertip Regression. ECCV Workshops (6) Gaurav Garg, Srinidhi Hegde, Ramakrishna Perla, Varun Jain, Lovekesh Vig, Ramya Hebbalaguppe
2018	B	`conf`	Evolutionary RL for Container Loading. ESANN Sarmimala Saikia, Richa Verma, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan
2018	J	`jnl`	Evolutionary RL for Container Loading. CoRR Sarmimala Saikia, Richa Verma, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan
2018	B	`conf`	Large-Scale Assessment of Deep Relational Machines. ILP Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig, Oghenejokpeme I. Orhobor, Ross D. King
2018	—	`conf`	Learning to Clean: A GAN Perspective. ACCV Workshops Monika Sharma, Abhishek Verma, Lovekesh Vig
2018	J	`jnl`	Logical Explanations for Deep Relational Machines Using Relevance Information. CoRR Ashwin Srinivasan, Lovekesh Vig, Michael Bain
2018	—	`conf`	MEETING BOT: Reinforcement Learning for Dialogue Based Meeting Scheduling. AAAI Workshops Vishwanath D, Lovekesh Vig, Gautam Shroff, Puneet Agarwal
2018	J	`jnl`	MEETING BOT: Reinforcement Learning for Dialogue Based Meeting Scheduling. CoRR Vishwanath D, Lovekesh Vig, Gautam Shroff, Puneet Agarwal
2018	—	`conf`	Online anomaly detection with concept drift adaptation using recurrent neural networks. COMAD/CODS Sakti Saurav, Pankaj Malhotra, Vishnu TV, Narendhar Gugulothu, Lovekesh Vig, Puneet Agarwal, Gautam Shroff
2018	J	`jnl`	Prosocial or Selfish? Agents with different behaviors for Contract Negotiation using Reinforcement Learning. CoRR Vishal Sunder, Lovekesh Vig, Arnab Chatterjee, Gautam Shroff
2018	—	`conf`	Reading Industrial Inspection Sheets by Inferring Visual Relations. ACCV Workshops Rohit Rahul, Arindam Chowdhury, Animesh, Samarth Mittal, Lovekesh Vig
2018	J	`jnl`	Reading Industrial Inspection Sheets by Inferring Visual Relations. CoRR Rohit Rahul, Arindam Chowdhury, Animesh, Samarth Mittal, Lovekesh Vig
2018	A*	`conf`	Resolving Abstract Anaphora Implicitly in Conversational Assistants using a Hierarchically stacked RNN. KDD Prerna Khurana, Puneet Agarwal, Gautam Shroff, Lovekesh Vig
2018	J	`jnl`	Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks. CoRR Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2018	—	`conf`	Using Features From Pre-trained TimeNET For Clinical Predictions. KDH@IJCAI Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2017	B	`conf`	An Investigation into the Role of Domain-Knowledge on the Use of Embeddings. ILP Lovekesh Vig, Ashwin Srinivasan, Michael Bain, Ankit Verma
2017	—	`conf`	Crowdsourcing for Chromosome Segmentation and Deep Classification. CVPR Workshops Monika Sharma, Oindrila Saha, Anand Sriraman, Ramya Hebbalaguppe, Lovekesh Vig, Shirish Karande
2017	J	`jnl`	Deep Convolutional Neural Networks for Pairwise Causality. CoRR Karamjit Singh, Garima Gupta, Lovekesh Vig, Gautam Shroff, Puneet Agarwal
2017	—	`conf`	Deterministic Policy Gradient Based Robotic Path Planning with Continuous Action Spaces. ICCV Workshops Somdyuti Paul, Lovekesh Vig
2017	A	`conf`	Hybrid BiLSTM-Siamese network for FAQ Assistance. CIKM Prerna Khurana, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan
2017	J	`jnl`	Improved prediction of missing protein interactome links via anomaly detection. Appl. Netw. Sci. Kushal Veer Singh, Lovekesh Vig
2017	—	`conf`	Information Bottleneck Inspired Method For Chat Text Segmentation. IJCNLP(1) Sunder Vishal, Mohit Yadav, Lovekesh Vig, Gautam Shroff
2017	—	`conf`	Information Extraction from Hand-Marked Industrial Inspection Sheets. CBDAR@ICDAR Gaurav Gupta, Swati, Monika Sharma, Lovekesh Vig
2017	—	`conf`	Learning and Knowledge Transfer with Memory Networks for Machine Comprehension. EACL (1) Mohit Yadav, Lovekesh Vig, Gautam Shroff
2017	—	`conf`	Pre-trained classifiers with One Shot Similarity for context aware face verification and identification. ISBA Monika Sharma, Ramya Hebbalaguppe, Lovekesh Vig
2017	J	`jnl`	Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks. CoRR Narendhar Gugulothu, Vishnu TV, Pankaj Malhotra, Lovekesh Vig, Puneet Agarwal, Gautam Shroff
2017	—	`conf`	Siamese Networks for Chromosome Classification. ICCV Workshops Swati, Gaurav Gupta, Mohit Yadav, Monika Sharma, Lovekesh Vig
2017	B	`conf`	TimeNet: Pre-trained deep recurrent neural network for time series classification. ESANN Pankaj Malhotra, Vishnu TV, Lovekesh Vig, Puneet Agarwal, Gautam Shroff
2017	J	`jnl`	TimeNet: Pre-trained deep recurrent neural network for time series classification. CoRR Pankaj Malhotra, Vishnu TV, Lovekesh Vig, Puneet Agarwal, Gautam Shroff
2016	—	`conf`	An AR Inspection Framework: Feasibility Study with Multiple AR Devices. ISMAR Adjunct Ramakrishna Perla, Ehtesham Hassan, Ramya Hebbalaguppe, Monika Sharma, Gaurav Gupta, Lovekesh Vig, Geetika Sharma, Gautam Shroff
2016	C	`conf`	Automatic Container Code Recognition via Spatial Transformer Networks and Connected Component Region Proposals. ICMLA Ankit Verma, Monika Sharma, Ramya Hebbalaguppe, Ehtesham Hassan, Lovekesh Vig
2016	B	`conf`	Generation of Near-Optimal Solutions Using ILP-Guided Sampling. ILP Ashwin Srinivasan, Gautam Shroff, Lovekesh Vig, Sarmimala Saikia
2016	J	`jnl`	Generation of Near-Optimal Solutions Using ILP-Guided Sampling. CoRR Ashwin Srinivasan, Gautam Shroff, Lovekesh Vig, Sarmimala Saikia, Puneet Agarwal
2016	J	`jnl`	LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection. CoRR Pankaj Malhotra, Anusha Ramakrishnan, Gaurangi Anand, Lovekesh Vig, Puneet Agarwal, Gautam Shroff
2016	J	`jnl`	Multi-Sensor Prognostics using an Unsupervised Health Index based on LSTM Encoder-Decoder. CoRR Pankaj Malhotra, Vishnu TV, Anusha Ramakrishnan, Gaurangi Anand, Lovekesh Vig, Puneet Agarwal, Gautam Shroff
2016	—	`conf`	Neuro-Symbolic EDA-Based Optimization Using ILP-Enhanced DBNs. CoCo@NIPS Sarmimala Saikia, Lovekesh Vig, Ashwin Srinivasan, Gautam Shroff, Puneet Agarwal, Richa Rawat
2016	J	`jnl`	Neuro-symbolic EDA-based Optimisation using ILP-enhanced DBNs. CoRR Sarmimala Saikia, Lovekesh Vig, Ashwin Srinivasan, Gautam Shroff, Puneet Agarwal, Richa Rawat
2016	J	`jnl`	ODE - Augmented Training Improves Anomaly Detection in Sensor Data from Machines. CoRR Mohit Yadav, Pankaj Malhotra, Lovekesh Vig, K. Sriram, Gautam Shroff
2015	B	`conf`	Anomaly detection in ECG time signals via deep long short-term memory networks. DSAA Sucheta Chauhan, Lovekesh Vig
2015	B	`conf`	Ensemble of deep long short term memory networks for labelling origin of replication sequences. DSAA Urminder Singh, Sucheta Chauhan, A. Krishnamachari, Lovekesh Vig
2015	B	`conf`	Long Short Term Memory Networks for Anomaly Detection in Time Series. ESANN Pankaj Malhotra, Lovekesh Vig, Gautam Shroff, Puneet Agarwal
2015	J	`jnl`	Parallel multi-objective multi-robot coalition formation. Expert Syst. Appl. Manoj Agarwal, Nitin Agrawal, Shikhar Sharma, Lovekesh Vig, Naveen Kumar
2015	—	`conf`	Pedestrian Detection via Mixture of CNN Experts and Thresholded Aggregated Channel Features. ICCV Workshops Ankit Verma, Ramya Hebbalaguppe, Lovekesh Vig, Swagat Kumar, Ehtesham Hassan
2014	J	`jnl`	Non-additive multi-objective robot coalition formation. Expert Syst. Appl. Manoj Agarwal, Naveen Kumar, Lovekesh Vig
2011	J	`jnl`	A Cognitive Model for Generalization during Sequential Learning. J. Robotics Ashish Gupta, Lovekesh Vig, David C. Noelle
2011	—	`conf`	A Dual Association Model for Acquisition and Extinction. AI*IA Ashish Gupta, Lovekesh Vig
2011	J	`jnl`	A Neurocomputational Model for the Relation Between Hunger, Dopamine and Action Rate. J. Intell. Syst. Lovekesh Vig, Ashish Gupta, Abhinandan Basu
2011	J	`jnl`	A dual association model for the extinction of animal conditioning. Neurocomputing Ashish Gupta, Lovekesh Vig, David C. Noelle
2011	—	`conf`	MORCFA: A Multiple Objective Robot Coalition Formation Algorithm. IICAI Manoj Agarwal, Lovekesh Vig, Naveen Kumar
2011	—	`conf`	Multi-objective Robot Coalition Formation for Non-additive Environments. ICIRA (1) Manoj Agarwal, Lovekesh Vig, Naveen Kumar
2011	J	`jnl`	Multiple Objective Robot Coalition Formation. J. Intell. Syst. Manoj Agarwal, Lovekesh Vig, Naveen Kumar
2011	—	`conf`	On the relation between hunger, dopamine and action rate. IICAI Lovekesh Vig, Ashish Gupta, Abhinandan Basu
2009	—	`conf`	The Effect of Coalition Imbalance on Multi-Robot Teams. IICAI Lovekesh Vig, Julie A. Adams
2007	J	`jnl`	Coalition Formation: From Software Agents to Robots. J. Intell. Robotic Syst. Lovekesh Vig, Julie A. Adams
2006	—	`conf`	Market-Based Multi-robot Coalition Formation. DARS Lovekesh Vig, Julie A. Adams
2006	J	`jnl`	Multi-robot coalition formation. IEEE Trans. Robotics Lovekesh Vig, Julie A. Adams
2005	—	`conf`	A Framework for Multi-Robot Coalition Formation. IICAI Lovekesh Vig, Julie A. Adams