Vig, Lovekesh

26 publications

ECCVW 2024 Fashion Attribute Extraction Under an Evolving Ontology Aditya Kanade, Manasi Patwardhan, Mayur Patidar, Lovekesh Vig, Bagyalakshmi Vasudevan

AAAI 2024 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

WACV 2023 Calibrating Deep Neural Networks Using Explicit Regularisation and Dynamic Data Pruning Rishabh Patra, Ramya Hebbalaguppe, Tirtharaj Dash, Gautam Shroff, Lovekesh Vig

NeurIPSW 2023 Can Physics Informed Neural Operators Self Improve? Ritam Majumdar, Amey Varhade, Shirish Karande, Lovekesh Vig

ICLRW 2023 DeepEpiSolver: Unravelling Inverse Problems in Covid, HIV, Ebola and Disease Transmission Ritam Majumdar, Shirish Karande, Lovekesh Vig

ICMLW 2023 How Important Are Specialized Transforms in Neural Operators? Ritam Majumdar, Shirish Karande, Lovekesh Vig

NeurIPSW 2023 PIHLoRA: Physics-Informed Hypernetworks for Low-Ranked Adaptation Ritam Majumdar, Vishal Sudam Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig, Venkataramana Runkana

ICLRW 2023 Symbolic Regression for PDEs Using Pruned Differentiable Programs Ritam Majumdar, Vishal Sudam Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig, Venkataramana Runkana

ICLRW 2022 Code Summarization: Do Transformers Really Understand Code? Ankita Nandkishor Sontakke, Manasi Patwardhan, Lovekesh Vig, Raveendra Kumar Medicherla, Ravindra Naik, Gautam Shroff

NeurIPSW 2022 Physics Informed Symbolic Networks Ritam Majumdar, Vishal Sudam Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig, Venkataramana Runkana

AAAI 2022 Solving Visual Analogies Using Neural Algorithmic Reasoning (Student Abstract) Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash

MLJ 2021 Incorporating Symbolic Domain Knowledge into Graph Neural Networks Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig

MLJ 2020 Constructing Generative Logical Models for Optimisation Problems Using Domain Knowledge Ashwin Srinivasan, Lovekesh Vig, Gautam Shroff

CVPRW 2020 Font-ProtoNet: Prototypical Network Based Font Identification of Document Images in Low Data Regime Nikita Goel, Monika Sharma, Lovekesh Vig

CVPRW 2020 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

CVPRW 2020 Meta-DermDiagnosis: Few-Shot Skin Disease Identification Using Meta-Learning Kushagra Mahajan, Monika Sharma, Lovekesh Vig

JMLR 2019 Logical Explanations for Deep Relational Machines Using Relevance Information Ashwin Srinivasan, Lovekesh Vig, Michael Bain

ECML-PKDD 2019 Meta-Learning for Black-Box Optimization Vishnu Tv, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff

AAAI 2019 Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters Kaushal Paneri, Vishnu Tv, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff

ECCVW 2018 Automatic Classification of Low-Resolution Chromosomal Images Swati, Monika Sharma, Lovekesh Vig

ECCVW 2018 DrawInAir: A Lightweight Gestural Interface Based on Fingertip Regression Gaurav Garg, Srinidhi Hegde, Ramakrishna Perla, Varun Jain, Lovekesh Vig, Ramya Hebbalaguppe

IJCAI 2018 Using Features from Pre-Trained TimeNET for Clinical Predictions Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff

CVPRW 2017 Crowdsourcing for Chromosome Segmentation and Deep Classification Monika Sharma, Oindrila Saha, Anand Sriraman, Ramya Hebbalaguppe, Lovekesh Vig, Shirish Karande

ICCVW 2017 Deterministic Policy Gradient Based Robotic Path Planning with Continuous Action Spaces Somdyuti Paul, Lovekesh Vig

ICCVW 2017 Siamese Networks for Chromosome Classification Swati, Gaurav Gupta, Mohit Yadav, Monika Sharma, Lovekesh Vig

ICCVW 2015 Pedestrian Detection via Mixture of CNN Experts and Thresholded Aggregated Channel Features Ankit Verma, Ramya Hebbalaguppe, Lovekesh Vig, Swagat Kumar, Ehtesham Hassan