Lovekesh Vig

According to our database, Lovekesh Vig authored at least 146 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Acceleron: A Tool to Accelerate Research Ideation.

Harshit Nigam, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff

CoRR, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Can Physics Informed Neural Operators Self Improve?

Ritam Majumdar, Amey Varhade, Shirish S. Karande, Lovekesh Vig

CoRR, 2023

How important are specialized transforms in Neural Operators?

Ritam Majumdar, Shirish Karande, Lovekesh Vig

CoRR, 2023

HyperLoRA for PDEs.

Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig, Venkataramana Runkana

CoRR, 2023

Adapt and Decompose: Efficient Generalization of Text-to-SQL via Domain Adapted Least-To-Most Prompting.

Aseem Arora, Shabbirhussain Bhaisaheb, Harshit Nigam, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff

CoRR, 2023

Neuro-symbolic Zero-Shot Code Cloning with Cross-Language Intermediate Representation.

Krishnam Hasija, Shrishti Pradhan, Manasi Patwardhan, Raveendra Kumar Medicherla, Lovekesh Vig, Ravindra Naik

CoRR, 2023

DeepEpiSolver: Unravelling Inverse problems in Covid, HIV, Ebola and Disease Transmission.

Ritam Majumdar, Shirish Karande, Lovekesh Vig

CoRR, 2023

Knowledge Transfer for Pseudo-code Generation from Low Resource Programming Language.

Ankita Sontakke, Kanika Kalra, Manasi Patwardhan, Lovekesh Vig, Raveendra Kumar Medicherla, Ravindra Naik, Shrishti Pradhan

CoRR, 2023

Symbolic Regression for PDEs using Pruned Differentiable Programs.

Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig, Venkataramana Runkana

CoRR, 2023

Domain-Specific Pretraining Improves Confidence in Whole Slide Image Classification.

Soham Rohit Chitnis, Sidong Liu, Tirtharaj Dash, Tanmay Tulsidas Verlekar, Antonio Di Ieva, Shlomo Berkovsky, Lovekesh Vig, Ashwin Srinivasan

CoRR, 2023

Neuro-symbolic Meta Reinforcement Learning for Trading.

S. I Harini, Gautam Shroff, Ashwin Srinivasan, Prayushi Faldu, Lovekesh Vig

CoRR, 2023

Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning.

Rishabh Patra, Ramya Hebbalaguppe, Tirtharaj Dash, Gautam Shroff, Lovekesh Vig

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Can You Translate for Me? Code-Switched Machine Translation with Large Language Models.

Jyotsana Khatri, Vivek Srivastava, Lovekesh Vig

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Can LLMs solve generative visual analogies?

Shrey Pandit, Gautam Shroff, Ashwin Srinivasan, Lovekesh Vig

Proceedings of the Workshop on the Interactions between Analogical Reasoning and Machine Learning co-located with International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023

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

Proceedings of the IEEE International Conference on Image Processing, 2023

Generalization of Fine Granular Extractions from Charts.

Shubham Paliwal, Manasi Patwardhan, Lovekesh Vig

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

Domain-Specific Pre-training Improves Confidence in Whole Slide Image Classification.

Soham Rohit Chitnis, Sidong Liu, Tirtharaj Dash, Tanmay Tulsidas Verlekar, Antonio Di Ieva, Shlomo Berkovsky, Lovekesh Vig, Ashwin Srinivasan

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Ontology Guided Supervised Contrastive Learning For Fine-grained Attribute Extraction From Fashion Images.

Shubham Paliwal, Bhagyashree Gaikwad, Mayur Patidar, Manasi Patwardhan, Lovekesh Vig, Meghna Mahajan, Bagya Lakshmi V, Shirish S. Karande

Proceedings of the 2023 SIGIR Workshop on eCommerce co-located with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), 2023

X4SR: Post-Hoc Explanations for Session-based Recommendations.

Jyoti Narwariya, Priyanka Gupta, Garima Gupta, Lovekesh Vig, Gautam Shroff

Proceedings of the 2023 SIGIR Workshop on eCommerce co-located with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Real-time Health Monitoring of Heat Exchangers using Hypernetworks and PINNs.

Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig, Venkataramana Runkana

CoRR, 2022

Neural Feature-Adaptation for Symbolic Predictions Using Pre-Training and Semantic Loss.

Vedant Shah, Aditya Agrawal, Lovekesh Vig, Ashwin Srinivasan, Gautam Shroff, Tanmay T. Verlekar

CoRR, 2022

On NeuroSymbolic Solutions for PDEs.

Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig

CoRR, 2022

Learning to Liquidate Forex: Optimal Stopping via Adaptive Top-K Regression.

Diksha Garg, Pankaj Malhotra, Anil Bhatia, Sanjay Bhat, Lovekesh Vig, Gautam Shroff

CoRR, 2022

Electricity Consumption Forecasting for Out-of-distribution Time-of-Use Tariffs.

Jyoti Narwariya, Chetan Verma, Pankaj Malhotra, Lovekesh Vig, Easwar Subramanian, Sanjay Bhat

CoRR, 2022

DRTCI: Learning Disentangled Representations for Temporal Causal Inference.

Garima Gupta, Lovekesh Vig, Gautam Shroff

CoRR, 2022

Exploring Dimensions of Generalizability and Few-shot Transfer for Text-to-SQL Semantic Parsing.

Rajaswa Patil, Manasi Patwardhan, Shirish Karande, Lovekesh Vig, Gautam Shroff

Proceedings of the Transfer Learning for Natural Language Processing Workshop, 2022

Neural Analogical Reasoning.

Atharv Sonwane, Abhinav Lalwani, Sweta Mahajan, Gautam Shroff, Lovekesh Vig

Proceedings of the 16th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 2nd International Joint Conference on Learning & Reasoning (IJCLR 2022), 2022

Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces.

Vishwa Shah, Aditya Sharma, Gautam Shroff, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan

Proceedings of the 16th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 2nd International Joint Conference on Learning & Reasoning (IJCLR 2022), 2022

Prompt Augmented Generative Replay via Supervised Contrastive Learning for Lifelong Intent Detection.

Vaibhav Varshney, Mayur Patidar, Rajat Kumar, Lovekesh Vig, Gautam Shroff

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Intent Detection and Discovery from User Logs via Deep Semi-Supervised Contrastive Clustering.

Rajat Kumar, Mayur Patidar, Vaibhav Varshney, Lovekesh Vig, Gautam Shroff

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

An Efficient Anchor-Free Universal Lesion Detection in Ct-Scans.

Manu Sheoran, Meghal Dani, Monika Sharma, Lovekesh Vig

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Generating Conceptual Explanations for DL based ECG Classification Model.

Amit Sangroya, Suparshva Jain, Lovekesh Vig, C. Anantaram, Arijit Ukil, Sundeep Khandelwal

Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

Handling Domain Shift for Lesion Detection via Semi-supervised Domain Adaptation.

Manu Sheoran, Monika Sharma, Meghal Dani, Lovekesh Vig

Proceedings of the Computer Vision - ACCV 2022 Workshops, 2022

Solving Visual Analogies Using Neural Algorithmic Reasoning (Student Abstract).

Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Incorporating symbolic domain knowledge into graph neural networks.

Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig

Mach. Learn., 2021

Deep learning based network similarity for model selection.

Kushal Veer Singh, Ajay Kumar Verma, Lovekesh Vig

Data Sci., 2021

Solving Visual Analogies Using Neural Algorithmic Reasoning.

Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash

CoRR, 2021

PnPOOD : Out-Of-Distribution Detection for Text Classification via Plug andPlay Data Augmentation.

Mrinal Rawat, Ramya Hebbalaguppe, Lovekesh Vig

CoRR, 2021

Using Program Synthesis and Inductive Logic Programming to solve Bongard Problems.

Atharv Sonwane, Sharad Chitlangia, Tirtharaj Dash, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan

CoRR, 2021

Digitize-PID: Automatic Digitization of Piping and Instrumentation Diagrams.

Shubham Paliwal, Arushi Jain, Monika Sharma, Lovekesh Vig

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2021

Using Domain-Knowledge to Assist Lead Discovery in Early-Stage Drug Design.

Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig, Arijit Roy

Proceedings of the Inductive Logic Programming - 30th International Conference, 2021

OSSR-PID: One-Shot Symbol Recognition in P&ID Sheets using Path Sampling and GCN.

Shubham Paliwal, Monika Sharma, Lovekesh Vig

Proceedings of the International Joint Conference on Neural Networks, 2021

BCQ4DCA: Budget Constrained Deep Q-Network for Dynamic Campaign Allocation in Computational Advertising.

Manasi Malik, Garima Gupta, Lovekesh Vig, Gautam Shroff

Proceedings of the International Joint Conference on Neural Networks, 2021

Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions.

Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff

Proceedings of the IEEE International Conference on Data Mining, 2021

Data-Efficient Training of High-Resolution Images in Medical Domain.

Shruti Kunde, Amey Pandit, Kushagra Mahajan, Monika Sharma, Rekha Singhal, Lovekesh Vig

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

TSR-DSAW: Table Structure Recognition via Deep Spatial Association of Words.

Arushi Jain, Shubham Paliwal, Monika Sharma, Lovekesh Vig

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

CauSeR: Causal Session-based Recommendations for Handling Popularity Bias.

Priyanka Gupta, Ankit Sharma, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust Universal Lesion Detection.

Manu Sheoran, Meghal Dani, Monika Sharma, Lovekesh Vig

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Constructing generative logical models for optimisation problems using domain knowledge.

Ashwin Srinivasan, Lovekesh Vig, Gautam Shroff

Mach. Learn., 2020

Transfer Learning for Clinical Time Series Analysis Using Deep Neural Networks.

Priyanka Gupta, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff

J. Heal. Informatics Res., 2020

CAMTA: Casual Attention Model for Multi-touch Attribution.

Sachin Kumar, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff

CoRR, 2020

Constructing and Evaluating an Explainable Model for COVID-19 Diagnosis from Chest X-rays.

Rishab Khincha, Soundarya Krishnan, Krishnan Guru-Murthy, Tirtharaj Dash, Lovekesh Vig, Ashwin Srinivasan

CoRR, 2020

Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation.

Diksha Garg, Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff

CoRR, 2020

Handling Variable-Dimensional Time Series with Graph Neural Networks.

Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff

CoRR, 2020

Graph Neural Networks for Leveraging Industrial Equipment Structure: An application to Remaining Useful Life Estimation.

Jyoti Narwariya, Pankaj Malhotra, Vishnu TV, Lovekesh Vig, Gautam Shroff

CoRR, 2020

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

Proceedings of the Thoracic Image Analysis - Second International Workshop, 2020

A Case Study of Transfer of Lesion-Knowledge.

Soundarya Krishnan, Rishab Khincha, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan

Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

Improved Question Answering using Domain Prediction.

Himani Srivastava, Prerna Khurana, Saurabh Srivastava, Vaibhav Varshney, Lovekesh Vig, Puneet Agarwal, Gautam Shroff

Proceedings of the KDD 2020 Workshop on Conversational Systems Towards Mainstream Adoption co-located with the 26TH ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2020), 2020

Hi-CI: Deep Causal Inference in High Dimensions.

Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff

Proceedings of the 2020 KDD Workshop on Causal Discovery (CD@KDD 2020), 2020

Capsule Based Neural Network Architecture to perform completeness check for Patent Eligibility Process.

Saurabh Srivastava, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Vidya Vikas

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

CAMTA: Causal Attention Model for Multi-touch Attribution.

Sachin Kumar, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

MultiMBNN: Matched and Balanced Causal Inference with Neural Networks.

Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff

Proceedings of the 28th European Symposium on Artificial Neural Networks, 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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Meta-DermDiagnosis: Few-Shot Skin Disease Identification using Meta-Learning.

Kushagra Mahajan, Monika Sharma, Lovekesh Vig

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Font-ProtoNet: Prototypical Network based Font Identification of Document Images in Low Data Regime.

Nikita Goel, Monika Sharma, Lovekesh Vig

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Meta-Learning for Few-Shot Time Series Classification.

Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff, Vishnu TV

Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

Guided-LIME: Structured Sampling based Hybrid Approach towards Explaining Blackbox Machine Learning Models.

Amit Sangroya, Mouli Rastogi, C. Anantaram, Lovekesh Vig

Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020

Improving NMT via Filtered Back Translation.

Nikhil Jaiswal, Mayur Patidar, Surabhi Kumari, Manasi Patwardhan, Shirish Karande, Puneet Agarwal, Lovekesh Vig

Proceedings of the 7th Workshop on Asian Translation, 2020

2019

Logical Explanations for Deep Relational Machines Using Relevance Information.

Ashwin Srinivasan, Lovekesh Vig, Michael Bain

J. Mach. Learn. Res., 2019

A Comparison of Shallow and Deep Learning Methods for Predicting Cognitive Performance of Stroke Patients From MRI Lesion Images.

Sucheta Chauhan, Lovekesh Vig, Michele De Filippo De Grazia, Maurizio Corbetta, Shandar Ahmad, Marco Zorzi

Frontiers Neuroinformatics, 2019

MetaCI: Meta-Learning for Causal Inference in a Heterogeneous Population.

Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff

CoRR, 2019

NISER: Normalized Item and Session Representations with Graph Neural Networks.

Priyanka Gupta, Diksha Garg, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff

CoRR, 2019

Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models.

Vishnu TV, Diksha Garg, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff

CoRR, 2019

ECG anomaly class identification using LSTM and error profile modeling.

Sucheta Chauhan, Lovekesh Vig, Shandar Ahmad

Comput. Biol. Medicine, 2019

Sequence and Time Aware Neighborhood for Session-based Recommendations: STAN.

Diksha Garg, Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Meta-Learning for Black-Box Optimization.

Vishnu TV, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

One-shot Information Extraction from Document Images using Neuro-Deductive Program Synthesis.

Vishal Sunder, Ashwin Srinivasan, Lovekesh Vig, Gautam Shroff, Rohit Rahul

Proceedings of the 2019 International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2019), 2019

Hierarchical Capsule Based Neural Network Architecture for Sequence Labeling.

Saurabh Srivastava, Puneet Agarwal, Gautam Shroff, Lovekesh Vig

Proceedings of the International Joint Conference on Neural Networks, 2019

ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks.

Monika Sharma, Shikha Gupta, Arindam Chowdhury, Lovekesh Vig

Proceedings of the International Joint Conference on Neural Networks, 2019

ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification.

Kathan Kashiparekh, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff

Proceedings of the International Joint Conference on Neural Networks, 2019

Automatic Information Extraction from Piping and Instrumentation Diagrams.

Rohit Rahul, Shubham Paliwal, Monika Sharma, Lovekesh Vig

Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

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

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Character Keypoint-Based Homography Estimation in Scanned Documents for Efficient Information Extraction.

Kushagra Mahajan, Monika Sharma, Lovekesh Vig

Proceedings of the 8th International Workshop on Camera-Based Document Analysis and Recognition, 2019

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

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

From Monolingual to Multilingual FAQ Assistant using Multilingual Co-training.

Mayur Patidar, Surabhi Kumari, Manasi Patwardhan, Shirish Karande, Puneet Agarwal, Lovekesh Vig, Gautam Shroff

Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, 2019

Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters.

Kaushal Paneri, Vishnu TV, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Prosocial or Selfish? Agents with different behaviors for Contract Negotiation using Reinforcement Learning.

Vishal Sunder, Lovekesh Vig, Arnab Chatterjee, Gautam Shroff

CoRR, 2018

Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks.

Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff

CoRR, 2018

Resolving Abstract Anaphora Implicitly in Conversational Assistants using a Hierarchically stacked RNN.

Prerna Khurana, Puneet Agarwal, Gautam Shroff, Lovekesh Vig

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Large-Scale Assessment of Deep Relational Machines.

Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig, Oghenejokpeme I. Orhobor, Ross D. King

Proceedings of the Inductive Logic Programming - 28th International Conference, 2018

Automatic Chromosome Classification using Deep Attention Based Sequence Learning of Chromosome Bands.

Monika Sharma, Swati, Lovekesh Vig

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Using Features From Pre-trained TimeNET For Clinical Predictions.

Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff

Proceedings of the 3rd International Workshop on Knowledge Discovery in Healthcare Data co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), 2018

Evolutionary RL for Container Loading.

Sarmimala Saikia, Richa Verma, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Automatic Classification of Low-Resolution Chromosomal Images.

Swati, Monika Sharma, Lovekesh Vig

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

DrawInAir: A Lightweight Gestural Interface Based on Fingertip Regression.

Gaurav Garg, Srinidhi Hegde, Ramakrishna Perla, Varun Jain, Lovekesh Vig, Ramya Hebbalaguppe

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

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

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018

Automatic Conversational Helpdesk Solution using Seq2Seq and Slot-filling Models.

Mayur Patidar, Puneet Agarwal, Lovekesh Vig, Gautam Shroff

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

An Efficient End-to-End Neural Model for Handwritten Text Recognition.

Arindam Chowdhury, Lovekesh Vig

Proceedings of the British Machine Vision Conference 2018, 2018

Learning to Clean: A GAN Perspective.

Monika Sharma, Abhishek Verma, Lovekesh Vig

Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018

Reading Industrial Inspection Sheets by Inferring Visual Relations.

Rohit Rahul, Arindam Chowdhury, Animesh, Samarth Mittal, Lovekesh Vig

Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018

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

Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018

MEETING BOT: Reinforcement Learning for Dialogue Based Meeting Scheduling.

Vishwanath D, Lovekesh Vig, Gautam Shroff, Puneet Agarwal

Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks.

Narendhar Gugulothu, Vishnu TV, Pankaj Malhotra, Lovekesh Vig, Puneet Agarwal, Gautam Shroff

CoRR, 2017

Deep Convolutional Neural Networks for Pairwise Causality.

Karamjit Singh, Garima Gupta, Lovekesh Vig, Gautam Shroff, Puneet Agarwal

CoRR, 2017

Improved prediction of missing protein interactome links via anomaly detection.

Kushal Veer Singh, Lovekesh Vig

Appl. Netw. Sci., 2017

Pre-trained classifiers with One Shot Similarity for context aware face verification and identification.

Monika Sharma, Ramya Hebbalaguppe, Lovekesh Vig

Proceedings of the IEEE International Conference on Identity, 2017

An Investigation into the Role of Domain-Knowledge on the Use of Embeddings.

Lovekesh Vig, Ashwin Srinivasan, Michael Bain, Ankit Verma

Proceedings of the Inductive Logic Programming - 27th International Conference, 2017

Information Bottleneck Inspired Method For Chat Text Segmentation.

Sunder Vishal, Mohit Yadav, Lovekesh Vig, Gautam Shroff

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Information Extraction from Hand-Marked Industrial Inspection Sheets.

Gaurav Gupta, Swati, Monika Sharma, Lovekesh Vig

Proceedings of the 7th International Workshop on Camera-Based Document Analysis and Recognition, 2017

Siamese Networks for Chromosome Classification.

Swati, Gaurav Gupta, Mohit Yadav, Monika Sharma, Lovekesh Vig

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Deterministic Policy Gradient Based Robotic Path Planning with Continuous Action Spaces.

Somdyuti Paul, Lovekesh Vig

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

TimeNet: Pre-trained deep recurrent neural network for time series classification.

Pankaj Malhotra, Vishnu TV, Lovekesh Vig, Puneet Agarwal, Gautam Shroff

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Learning and Knowledge Transfer with Memory Networks for Machine Comprehension.

Mohit Yadav, Lovekesh Vig, Gautam Shroff

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Crowdsourcing for Chromosome Segmentation and Deep Classification.

Monika Sharma, Oindrila Saha, Anand Sriraman, Ramya Hebbalaguppe, Lovekesh Vig, Shirish Karande

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Hybrid BiLSTM-Siamese network for FAQ Assistance.

Prerna Khurana, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

ODE - Augmented Training Improves Anomaly Detection in Sensor Data from Machines.

Mohit Yadav, Pankaj Malhotra, Lovekesh Vig, K. Sriram, Gautam Shroff

CoRR, 2016

Generation of Near-Optimal Solutions Using ILP-Guided Sampling.

Ashwin Srinivasan, Gautam Shroff, Lovekesh Vig, Sarmimala Saikia, Puneet Agarwal

CoRR, 2016

Neuro-symbolic EDA-based Optimisation using ILP-enhanced DBNs.

Sarmimala Saikia, Lovekesh Vig, Ashwin Srinivasan, Gautam Shroff, Puneet Agarwal, Richa Rawat

CoRR, 2016

Multi-Sensor Prognostics using an Unsupervised Health Index based on LSTM Encoder-Decoder.

Pankaj Malhotra, Vishnu TV, Anusha Ramakrishnan, Gaurangi Anand, Lovekesh Vig, Puneet Agarwal, Gautam Shroff

CoRR, 2016

LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.

Pankaj Malhotra, Anusha Ramakrishnan, Gaurangi Anand, Lovekesh Vig, Puneet Agarwal, Gautam Shroff

CoRR, 2016

Neuro-Symbolic EDA-Based Optimization Using ILP-Enhanced DBNs.

Sarmimala Saikia, Lovekesh Vig, Ashwin Srinivasan, Gautam Shroff, Puneet Agarwal, Richa Rawat

Proceedings of the Workshop on Cognitive Computation: Integrating neural and symbolic approaches 2016 co-located with the 30th Annual Conference on Neural Information Processing Systems (NIPS 2016), 2016

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

Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, 2016

Generation of Near-Optimal Solutions Using ILP-Guided Sampling.

Ashwin Srinivasan, Gautam Shroff, Lovekesh Vig, Sarmimala Saikia

Proceedings of the Inductive Logic Programming - 26th International Conference, 2016

Automatic Container Code Recognition via Spatial Transformer Networks and Connected Component Region Proposals.

Ankit Verma, Monika Sharma, Ramya Hebbalaguppe, Ehtesham Hassan, Lovekesh Vig

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015

Parallel multi-objective multi-robot coalition formation.

Manoj Agarwal, Nitin Agrawal, Shikhar Sharma, Lovekesh Vig, Naveen Kumar

Expert Syst. Appl., 2015

Pedestrian Detection via Mixture of CNN Experts and Thresholded Aggregated Channel Features.

Ankit Verma, Ramya Hebbalaguppe, Lovekesh Vig, Swagat Kumar, Ehtesham Hassan

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Long Short Term Memory Networks for Anomaly Detection in Time Series.

Pankaj Malhotra, Lovekesh Vig, Gautam Shroff, Puneet Agarwal

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Ensemble of deep long short term memory networks for labelling origin of replication sequences.

Urminder Singh, Sucheta Chauhan, A. Krishnamachari, Lovekesh Vig

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Anomaly detection in ECG time signals via deep long short-term memory networks.

Sucheta Chauhan, Lovekesh Vig

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014

Non-additive multi-objective robot coalition formation.

Manoj Agarwal, Naveen Kumar, Lovekesh Vig

Expert Syst. Appl., 2014

2011

A Cognitive Model for Generalization during Sequential Learning.

Ashish Gupta, Lovekesh Vig, David C. Noelle

J. Robotics, 2011

A Neurocomputational Model for the Relation Between Hunger, Dopamine and Action Rate.

Lovekesh Vig, Ashish Gupta, Abhinandan Basu

J. Intell. Syst., 2011

Multiple Objective Robot Coalition Formation.

Manoj Agarwal, Lovekesh Vig, Naveen Kumar

J. Intell. Syst., 2011

A dual association model for the extinction of animal conditioning.

Ashish Gupta, Lovekesh Vig, David C. Noelle

Neurocomputing, 2011

On the relation between hunger, dopamine and action rate.

Lovekesh Vig, Ashish Gupta, Abhinandan Basu

Proceedings of the 5th Indian International Conference on Artificial Intelligence, 2011

MORCFA: A Multiple Objective Robot Coalition Formation Algorithm.

Manoj Agarwal, Lovekesh Vig, Naveen Kumar

Proceedings of the 5th Indian International Conference on Artificial Intelligence, 2011

Multi-objective Robot Coalition Formation for Non-additive Environments.

Manoj Agarwal, Lovekesh Vig, Naveen Kumar

Proceedings of the Intelligent Robotics and Applications - 4th International Conference, 2011

A Dual Association Model for Acquisition and Extinction.

Ashish Gupta, Lovekesh Vig

Proceedings of the AI*IA 2011: Artificial Intelligence Around Man and Beyond, 2011

2009

The Effect of Coalition Imbalance on Multi-Robot Teams.

Lovekesh Vig, Julie A. Adams

Proceedings of the 4th Indian International Conference on Artificial Intelligence, 2009

2007

Coalition Formation: From Software Agents to Robots.

Lovekesh Vig, Julie A. Adams

J. Intell. Robotic Syst., 2007

2006

Multi-robot coalition formation.

Lovekesh Vig, Julie A. Adams

IEEE Trans. Robotics, 2006

Market-Based Multi-robot Coalition Formation.

Lovekesh Vig, Julie A. Adams

Proceedings of the Distributed Autonomous Robotic Systems 7, 2006

2005

A Framework for Multi-Robot Coalition Formation.

Lovekesh Vig, Julie A. Adams

Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005