Lovekesh Vig

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 163

Top Venues

Publications

Arushi Jain, Shubham Paliwal, Monika Sharma, Vikram Jamwal, Lovekesh Vig
Multi-Subject Personalization. CoRR (2024)
Shreyas Bhat Brahmavar, Ashwin Srinivasan, Tirtharaj Dash, Sowmya Ramaswamy Krishnan, Lovekesh Vig, Arijit Roy, Raviprasad Aduri
Generating Novel Leads for Drug Discovery Using LLMs with Logical Feedback. AAAI (2024)
Harshit Nigam, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff
Acceleron: A Tool to Accelerate Research Ideation. CoRR (2024)
Arushi Jain, Shubham Paliwal, Monika Sharma, Lovekesh Vig, Gautam Shroff
SmartFlow: Robotic Process Automation using LLMs. CoRR (2024)
Pushpdeep Singh, Mayur Patidar, Lovekesh Vig
Translating Across Cultures: LLMs for Intralingual Cultural Adaptation. CoRR (2024)
Shubham Paliwal, Arushi Jain, Monika Sharma, Vikram Jamwal, Lovekesh Vig
CustomText: Customized Textual Image Generation using Diffusion Models. CoRR (2024)
Muskan Gupta, Priyanka Gupta, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff
SCM4SR: Structural Causal Model-based Data Augmentation for Robust Session-based Recommendation. SIGIR (2024)
Krishnam Hasija, Shrishti Pradhan, Manasi S. Patwardhan, Raveendra Kumar Medicherla, Lovekesh Vig, Ravindra Naik
Neuro-symbolic Zero-Shot Code Cloning with Cross-Language Intermediate Representation. CoRR (2023)
Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Subhash Karande, Lovekesh Vig, Venkataramana Runkana
HyperLoRA for PDEs. CoRR (2023)
Rishabh Patra, Ramya Hebbalaguppe, Tirtharaj Dash, Gautam Shroff, Lovekesh Vig
Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning. WACV (2023)
Mayur Patidar, Prayushi Faldu, Avinash Kumar Singh, Lovekesh Vig, Indrajit Bhattacharya, Mausam
Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions. ACL (1) (2023)
Ankita Sontakke, Kanika Kalra, Manasi S. Patwardhan, Lovekesh Vig, Raveendra Kumar Medicherla, Ravindra Naik, Shrishti Pradhan
Knowledge Transfer for Pseudo-code Generation from Low Resource Programming Language. CoRR (2023)
Soham Rohit Chitnis, Sidong Liu, Tirtharaj Dash, Tanmay Tulsidas Verlekar, Antonio Di Ieva, Shlomo Berkovsky, Lovekesh Vig, Ashwin Srinivasan
Domain-Specific Pre-training Improves Confidence in Whole Slide Image Classification. EMBC (2023)
Ritam Majumdar, Shirish Subhash Karande, Lovekesh Vig
How important are specialized transforms in Neural Operators? CoRR (2023)
Shubham Paliwal, Manasi S. Patwardhan, Lovekesh Vig
Generalization of Fine Granular Extractions from Charts. ICDAR (2) (2023)
Shabbirhussain Bhaisaheb, Shubham Paliwal, Rajaswa Patil, Manasi S. Patwardhan, Lovekesh Vig, Gautam Shroff
Program Synthesis for Complex QA on Charts via Probabilistic Grammar Based Filtered Iterative Back-Translation. EACL (Findings) (2023)
Shreyas Bhat Brahmavar, Rohit Rajesh, Tirtharaj Dash, Lovekesh Vig, Tanmay Tulsidas Verlekar, Md Mahmudul Hasan, Tariq Mahmood Khan, Erik Meijering, Ashwin Srinivasan
IKD+: Reliable Low Complexity Deep Models for Retinopathy Classification. ICIP (2023)
S. I Harini, Gautam Shroff, Ashwin Srinivasan, Prayushi Faldu, Lovekesh Vig
Neuro-symbolic Meta Reinforcement Learning for Trading. CoRR (2023)
Shrey Pandit, Gautam Shroff, Ashwin Srinivasan, Lovekesh Vig
Can LLMs solve generative visual analogies? IARML@IJCAI (2023)
Shreyas Bhat Brahmavar, Rohit Rajesh, Tirtharaj Dash, Lovekesh Vig, Tanmay Tulsidas Verlekar, Md Mahmudul Hasan, Tariq M. Khan, Erik Meijering, Ashwin Srinivasan
IKD+: Reliable Low Complexity Deep Models For Retinopathy Classification. CoRR (2023)
Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Subhash Karande, Lovekesh Vig, Venkataramana Runkana
Symbolic Regression for PDEs using Pruned Differentiable Programs. CoRR (2023)
Amit Sangroya, Suparshva Jain, C. Anantaram, Lovekesh Vig
Conceptual Explanations of ECG Classification using Large Language Models. AIMLSystems (2023)
Ritam Majumdar, Amey Varhade, Shirish S. Karande, Lovekesh Vig
Can Physics Informed Neural Operators Self Improve? CoRR (2023)
Jyoti Narwariya, Priyanka Gupta, Garima Gupta, Lovekesh Vig, Gautam Shroff
X4SR: Post-Hoc Explanations for Session-based Recommendations. eCom@SIGIR (2023)
Jyotsana Khatri, Vivek Srivastava, Lovekesh Vig
Can You Translate for Me? Code-Switched Machine Translation with Large Language Models. IJCNLP (2) (2023)
Shubham Paliwal, Bhagyashree Gaikwad, Mayur Patidar, Manasi Patwardhan, Lovekesh Vig, Meghna Mahajan, Bagya Lakshmi V, Shirish S. Karande
Ontology Guided Supervised Contrastive Learning For Fine-grained Attribute Extraction From Fashion Images. eCom@SIGIR (2023)
Ritam Majumdar, Shirish Subhash Karande, Lovekesh Vig
DeepEpiSolver: Unravelling Inverse problems in Covid, HIV, Ebola and Disease Transmission. CoRR (2023)
Soham Rohit Chitnis, Sidong Liu, Tirtharaj Dash, Tanmay Tulsidas Verlekar, Antonio Di Ieva, Shlomo Berkovsky, Lovekesh Vig, Ashwin Srinivasan
Domain-Specific Pretraining Improves Confidence in Whole Slide Image Classification. CoRR (2023)
Aseem Arora, Shabbirhussain Bhaisaheb, Harshit Nigam, Manasi S. Patwardhan, Lovekesh Vig, Gautam Shroff
Adapt and Decompose: Efficient Generalization of Text-to-SQL via Domain Adapted Least-To-Most Prompting. CoRR (2023)
Rajat Kumar, Mayur Patidar, Vaibhav Varshney, Lovekesh Vig, Gautam Shroff
Intent Detection and Discovery from User Logs via Deep Semi-Supervised Contrastive Clustering. NAACL-HLT (2022)
Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Subhash Karande, Lovekesh Vig, Venkataramana Runkana
Real-time Health Monitoring of Heat Exchangers using Hypernetworks and PINNs. CoRR (2022)
Vishwa Shah, Aditya Sharma, Gautam Shroff, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan
Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces. CoRR (2022)
Arushi Jain, Shubham Paliwal, Monika Sharma, Lovekesh Vig
TSR-DSAW: Table Structure Recognition via Deep Spatial Association of Words. CoRR (2022)
Atharv Sonwane, Abhinav Lalwani, Sweta Mahajan, Gautam Shroff, Lovekesh Vig
Neural Analogical Reasoning. NeSy (2022)
Mayur Patidar, Avinash Kumar Singh, Prayushi Faldu, Lovekesh Vig, Indrajit Bhattacharya, Mausam
Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions. CoRR (2022)
Ramya Hebbalaguppe, Rishabh Patra, Tirtharaj Dash, Gautam Shroff, Lovekesh Vig
Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning. CoRR (2022)
Manu Sheoran, Meghal Dani, Monika Sharma, Lovekesh Vig
An Efficient Anchor-free Universal Lesion Detection in CT-scans. CoRR (2022)
Vaibhav Varshney, Mayur Patidar, Rajat Kumar, Lovekesh Vig, Gautam Shroff
Prompt Augmented Generative Replay via Supervised Contrastive Learning for Lifelong Intent Detection. NAACL-HLT (Findings) (2022)
Rajaswa Patil, Manasi Patwardhan, Shirish Karande, Lovekesh Vig, Gautam Shroff
Exploring Dimensions of Generalizability and Few-shot Transfer for Text-to-SQL Semantic Parsing. TL4NLP (2022)
Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Subhash Karande, Lovekesh Vig
On NeuroSymbolic Solutions for PDEs. CoRR (2022)
Vedant Shah, Aditya Agrawal, Lovekesh Vig, Ashwin Srinivasan, Gautam Shroff, Tanmay T. Verlekar
Neural Feature-Adaptation for Symbolic Predictions Using Pre-Training and Semantic Loss. CoRR (2022)
Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions. CoRR (2022)
Vishwa Shah, Aditya Sharma, Gautam Shroff, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan
Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces. NeSy (2022)
Diksha Garg, Pankaj Malhotra, Anil Bhatia, Sanjay Bhat, Lovekesh Vig, Gautam Shroff
Learning to Liquidate Forex: Optimal Stopping via Adaptive Top-K Regression. CoRR (2022)
Garima Gupta, Lovekesh Vig, Gautam Shroff
DRTCI: Learning Disentangled Representations for Temporal Causal Inference. CoRR (2022)
Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash
Solving Visual Analogies Using Neural Algorithmic Reasoning (Student Abstract). AAAI (2022)
Manu Sheoran, Meghal Dani, Monika Sharma, Lovekesh Vig
An Efficient Anchor-Free Universal Lesion Detection in Ct-Scans. ISBI (2022)
Manu Sheoran, Monika Sharma, Meghal Dani, Lovekesh Vig
Handling Domain Shift for Lesion Detection via Semi-supervised Domain Adaptation. ACCV (Workshops) (2022)
Amit Sangroya, Suparshva Jain, Lovekesh Vig, C. Anantaram, Arijit Ukil, Sundeep Khandelwal
Generating Conceptual Explanations for DL based ECG Classification Model. FLAIRS (2022)
Manu Sheoran, Meghal Dani, Monika Sharma, Lovekesh Vig
DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust Universal Lesion Detection. CoRR (2022)
Jyoti Narwariya, Chetan Verma, Pankaj Malhotra, Lovekesh Vig, Easwara Subramanian, Sanjay Bhat
Electricity Consumption Forecasting for Out-of-distribution Time-of-Use Tariffs. CoRR (2022)
Manu Sheoran, Meghal Dani, Monika Sharma, Lovekesh Vig
DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust Universal Lesion Detection. BMVC (2021)
Shubham Paliwal, Arushi Jain, Monika Sharma, Lovekesh Vig
Digitize-PID: Automatic Digitization of Piping and Instrumentation Diagrams. CoRR (2021)
Shubham Paliwal, Monika Sharma, Lovekesh Vig
OSSR-PID: One-Shot Symbol Recognition in P&ID Sheets using Path Sampling and GCN. IJCNN (2021)
Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash
Solving Visual Analogies Using Neural Algorithmic Reasoning. CoRR (2021)
Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig, Arijit Roy
Using Domain-Knowledge to Assist Lead Discovery in Early-Stage Drug Design. ILP (2021)
Manasi Malik, Garima Gupta, Lovekesh Vig, Gautam Shroff
BCQ4DCA: Budget Constrained Deep Q-Network for Dynamic Campaign Allocation in Computational Advertising. IJCNN (2021)
Atharv Sonwane, Sharad Chitlangia, Tirtharaj Dash, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan
Using Program Synthesis and Inductive Logic Programming to solve Bongard Problems. CoRR (2021)
Kushal Veer Singh, Ajay Kumar Verma, Lovekesh Vig
Deep learning based network similarity for model selection. Data Sci. 4 (2) (2021)
Shruti Kunde, Amey Pandit, Kushagra Mahajan, Monika Sharma, Rekha Singhal, Lovekesh Vig
Data-Efficient Training of High-Resolution Images in Medical Domain. ESANN (2021)
Shubham Paliwal, Monika Sharma, Lovekesh Vig
OSSR-PID: One-Shot Symbol Recognition in P&ID Sheets using Path Sampling and GCN. CoRR (2021)
Mrinal Rawat, Ramya Hebbalaguppe, Lovekesh Vig
PnPOOD : Out-Of-Distribution Detection for Text Classification via Plug andPlay Data Augmentation. CoRR (2021)
Arushi Jain, Shubham Paliwal, Monika Sharma, Lovekesh Vig
TSR-DSAW: Table Structure Recognition via Deep Spatial Association of Words. ESANN (2021)
Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions. ICDM (2021)
Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig
Incorporating symbolic domain knowledge into graph neural networks. Mach. Learn. 110 (7) (2021)
Shubham Paliwal, Arushi Jain, Monika Sharma, Lovekesh Vig
Digitize-PID: Automatic Digitization of Piping and Instrumentation Diagrams. PAKDD (Workshops) (2021)
Priyanka Gupta, Ankit Sharma, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
CauSeR: Causal Session-based Recommendations for Handling Popularity Bias. CIKM (2021)
Priyanka Gupta, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff
Transfer Learning for Clinical Time Series Analysis Using Deep Neural Networks. J. Heal. Informatics Res. 4 (2) (2020)
Nikhil Jaiswal, Mayur Patidar, Surabhi Kumari, Manasi S. Patwardhan, Shirish Subhash Karande, Puneet Agarwal, Lovekesh Vig
Improving NMT via Filtered Back Translation. WAT@AAC/IJCNLPL (2020)
Nikita Goel, Monika Sharma, Lovekesh Vig
Font-ProtoNet: Prototypical Network based Font Identification of Document Images in Low Data Regime. CVPR Workshops (2020)
Diksha Garg, Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation. CoRR (2020)
Shubham Paliwal, Vishwanath D, Rohit Rahul, Monika Sharma, Lovekesh Vig
TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images. CoRR (2020)
Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff, Vishnu TV
Meta-Learning for Few-Shot Time Series Classification. COMAD/CODS (2020)
Saurabh Srivastava, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Vidya Vikas
Capsule Based Neural Network Architecture to perform completeness check for Patent Eligibility Process. IJCNN (2020)
Himani Srivastava, Prerna Khurana, Saurabh Srivastava, Vaibhav Varshney, Lovekesh Vig, Puneet Agarwal, Gautam Shroff
Improved Question Answering using Domain Prediction. Converse@KDD (2020)
Kushagra Mahajan, Monika Sharma, Lovekesh Vig
Meta-DermDiagnosis: Few-Shot Skin Disease Identification using Meta-Learning. CVPR Workshops (2020)
Amit Sangroya, Mouli Rastogi, C. Anantaram, Lovekesh Vig
Guided-LIME: Structured Sampling based Hybrid Approach towards Explaining Blackbox Machine Learning Models. CIKM (Workshops) (2020)
Jyoti Narwariya, Pankaj Malhotra, Vishnu TV, Lovekesh Vig, Gautam Shroff
Graph Neural Networks for Leveraging Industrial Equipment Structure: An application to Remaining Useful Life Estimation. CoRR (2020)
Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
Handling Variable-Dimensional Time Series with Graph Neural Networks. CoRR (2020)
Ashwin Srinivasan, Lovekesh Vig, Gautam Shroff
Constructing generative logical models for optimisation problems using domain knowledge. Mach. Learn. 109 (7) (2020)
Mouli Rastogi, Syed Afshan Ali, Mrinal Rawat, Lovekesh Vig, Puneet Agarwal, Gautam Shroff, Ashwin Srinivasan
Information Extraction from Document Images via FCA based Template Detection and Knowledge Graph Rule Induction. CVPR Workshops (2020)
Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
Hi-CI: Deep Causal Inference in High Dimensions. CoRR (2020)
Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
MultiMBNN: Matched and Balanced Causal Inference with Neural Networks. CoRR (2020)
Rishab Khincha, Soundarya Krishnan, Krishnan Guru-Murthy, Tirtharaj Dash, Lovekesh Vig, Ashwin Srinivasan
Constructing and Evaluating an Explainable Model for COVID-19 Diagnosis from Chest X-rays. CoRR (2020)
Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
Hi-CI: Deep Causal Inference in High Dimensions. CD@KDD (2020)
Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig
Incorporating Symbolic Domain Knowledge into Graph Neural Networks. CoRR (2020)
Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
MultiMBNN: Matched and Balanced Causal Inference with Neural Networks. ESANN (2020)
Soundarya Krishnan, Rishab Khincha, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan
A Case Study of Transfer of Lesion-Knowledge. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Kushagra Mahajan, Monika Sharma, Lovekesh Vig, Rishab Khincha, Soundarya Krishnan, Adithya Niranjan, Tirtharaj Dash, Ashwin Srinivasan, Gautam Shroff
CovidDiagnosis: Deep Diagnosis of COVID-19 Patients Using Chest X-Rays. TIA@MICCAI (2020)
Sachin Kumar, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
CAMTA: Casual Attention Model for Multi-touch Attribution. CoRR (2020)
Sachin Kumar, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
CAMTA: Causal Attention Model for Multi-touch Attribution. ICDM (Workshops) (2020)
Monika Sharma, Shikha Gupta, Arindam Chowdhury, Lovekesh Vig
ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks. CoRR (2019)
Kushagra Mahajan, Monika Sharma, Lovekesh Vig
Character Keypoint-based Homography Estimation in Scanned Documents for Efficient Information Extraction. CoRR (2019)
Sucheta Chauhan, Lovekesh Vig, Michele De Filippo De Grazia, Maurizio Corbetta, Shandar Ahmad, Marco Zorzi
A Comparison of Shallow and Deep Learning Methods for Predicting Cognitive Performance of Stroke Patients From MRI Lesion Images. Frontiers Neuroinformatics 13 (2019)
Shubham Singh Paliwal, Vishwanath D, Rohit Rahul, Monika Sharma, Lovekesh Vig
TableNet: Deep Learning Model for End-to-end Table Detection and Tabular Data Extraction from Scanned Document Images. ICDAR (2019)
Monika Sharma, Shikha Gupta, Arindam Chowdhury, Lovekesh Vig
ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks. IJCNN (2019)
Priyanka Gupta, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff
Transfer Learning for Clinical Time Series Analysis using Deep Neural Networks. CoRR (2019)
Rohit Rahul, Shubham Paliwal, Monika Sharma, Lovekesh Vig
Automatic Information Extraction from Piping and Instrumentation Diagrams. CoRR (2019)
Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
MetaCI: Meta-Learning for Causal Inference in a Heterogeneous Population. CoRR (2019)
Vishnu TV, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff
Meta-Learning for Black-box Optimization. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lovekesh Vig