Lovekesh Vig

发表

Information Bottleneck Inspired Method For Chat Text Segmentation

Lovekesh Vig, S. Vishal, Mohit Yadav, 2017, IJCNLP.

ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks

Lovekesh Vig, Shikha Gupta, Monika Sharma, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Information Extraction from Document Images via FCA based Template Detection and Knowledge Graph Rule Induction

Lovekesh Vig, Gautam Shroff, Mouli Rastogi, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

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

Lovekesh Vig, Sucheta Chauhan, S. Chauhan, 2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

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

Lovekesh Vig, Rishab Khincha, Soundarya Krishnan, 2020, ArXiv.

Deep Convolutional Neural Networks for Pairwise Causality pdf

Lovekesh Vig, Gautam Shroff, Puneet Agarwal, 2017, ArXiv.

Parallel multi-objective multi-robot coalition formation

Lovekesh Vig, Nitin Agrawal, Manoj Agarwal, 2015, Expert Syst. Appl..

Multiple Objective Robot Coalition Formation

Lovekesh Vig, Manoj Agarwal, Naveen Kumar, 2011, J. Intell. Syst..

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

Lovekesh Vig, Arindam Chowdhury, L. Vig, 2018, BMVC.

Using Convolutional Neural Networks to Discover Cogntively Validated Features for Gender Classification

Lovekesh Vig, Ankit Verma, L. Vig, 2014, 2014 International Conference on Soft Computing and Machine Intelligence.

A Cognitive Model for Generalization during Sequential Learning

Lovekesh Vig, David C. Noelle, Ashish Gupta, 2011, J. Robotics.

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

Lovekesh Vig, Gautam Shroff, Puneet Agarwal, 2017, ESANN.

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

Lovekesh Vig, Gautam Shroff, Puneet Agarwal, 2016, ArXiv.

TableNet: Deep Learning Model for End-to-end Table Detection and Tabular Data Extraction from Scanned Document Images

Lovekesh Vig, Monika Sharma, Shubham Paliwal, 2019, 2019 International Conference on Document Analysis and Recognition (ICDAR).

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

Lovekesh Vig, Gautam Shroff, Arnab Chatterjee, 2018, Advances in Automated Negotiations.

Transfer Learning for Clinical Time Series Analysis Using Deep Neural Networks

Priyanka Gupta, Lovekesh Vig, Gautam Shroff, 2019, Journal of Healthcare Informatics Research.

Long Short Term Memory Networks for Anomaly Detection in Time Series

Lovekesh Vig, Gautam Shroff, Puneet Agarwal, 2015, ESANN.

Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters

Lovekesh Vig, Gautam Shroff, Pankaj Malhotra, 2019, AAAI.

The Effect of Coalition Imbalance on Multi-Robot Teams

Lovekesh Vig, Julie A. Adams, J. Adams, 2009, IICAI.

Deterministic Policy Gradient Based Robotic Path Planning with Continuous Action Spaces

Lovekesh Vig, Somdyuti Paul, L. Vig, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

A dual association model for the extinction of animal conditioning

Lovekesh Vig, David C. Noelle, Ashish Gupta, 2011, Neurocomputing.

Multi-Robot Coalition Formation (REGULAR PAPER)

Lovekesh Vig, Julie A. Adams, J. Adams, 2005 .

Siamese Networks for Chromosome Classification

Lovekesh Vig, Mohit Yadav, Gaurav Gupta, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

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

Lovekesh Vig, Maurizio Corbetta, Shandar Ahmad, 2019, Front. Neuroinform..

Fusing Features based on Signal Properties and TimeNet for Time Series Classification

Pankaj Malhotra, Lovekesh Vig, Tulika Bose, 2019, ESANN.

Large-Scale Assessment of Deep Relational Machines

Lovekesh Vig, Ashwin Srinivasan, Ross D. King, 2018, ILP.

Improving NMT via Filtered Back Translation

Lovekesh Vig, Shirish Karande, Puneet Agarwal, 2020, WAT.

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

Diksha Garg, Priyanka Gupta, Lovekesh Vig, 2019, SIGIR.

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

Lovekesh Vig, Gautam Shroff, Vidya Vikas, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

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

Lovekesh Vig, Gautam Shroff, Puneet Agarwal, 2017, International Journal of Prognostics and Health Management.

On Practical Aspects of Using RNNs for Fault Detection in Sparsely-labeled Multi-sensor Time Series

Lovekesh Vig, Gautam Shroff, Pankaj Malhotra, 2018 .

Automatic Conversational Helpdesk Solution using Seq2Seq and Slot-filling Models

Lovekesh Vig, Gautam Shroff, Puneet Agarwal, 2018, CIKM.

ACF Based Feature Extraction and Mixture of Expert CNNs for Pedestrian Detection

Lovekesh Vig, Ankit Verma, 2018 .

Information Extraction from Hand-Marked Industrial Inspection Sheets

Lovekesh Vig, Gaurav Gupta, Monika Sharma, 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).

Deep Reader: Information extraction from Document images via relation extraction and Natural Language pdf

Lovekesh Vig, Ashwin Srinivasan, Gautam Shroff, 2018, ACCV Workshops.

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

Priyanka Gupta, Lovekesh Vig, Gautam Shroff, 2018, ArXiv.

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

Lovekesh Vig, Gautam Shroff, Puneet Agarwal, 2016, ArXiv.

Crowdsourcing for Chromosome Segmentation and Deep Classification

Lovekesh Vig, Monika Sharma, Oindrila Saha, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

MultiMBNN: Matched and Balanced Causal Inference with Neural Networks

Lovekesh Vig, Gautam Shroff, Arnab Chatterjee, 2020, ESANN.

CovidDiagnosis: Deep Diagnosis of COVID-19 Patients Using Chest X-Rays

Lovekesh Vig, Ashwin Srinivasan, Rishab Khincha, 2020, TIA@MICCAI.

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

Lovekesh Vig, Gautam Shroff, Pankaj Malhotra, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

An AR Inspection Framework: Feasibility Study with Multiple AR Devices

Lovekesh Vig, Gautam Shroff, Gaurav Gupta, 2016, 2016 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct).

Handling Variable-Dimensional Time Series with Graph Neural Networks pdf

Pankaj Malhotra, Lovekesh Vig, Gautam Shroff, 2020, ArXiv.

On the relation between hunger, dopamine and action rate

Lovekesh Vig, Ashish Gupta, Abhinandan Basu, 2011, IICAI.

Recurrent Neural Networks for Online Remaining Useful Life Estimation in Ion Mill Etching System

Lovekesh Vig, Gautam Shroff, Pankaj Malhotra, 2018 .

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

Lovekesh Vig, Mohit Yadav, Gautam Shroff, 2016, ArXiv.

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

Lovekesh Vig, Monika Sharma, Nikita Goel, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Hierarchical Capsule Based Neural Network Architecture for Sequence Labeling

Lovekesh Vig, Gautam Shroff, Puneet Agarwal, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

MEETING BOT: Reinforcement Learning for Dialogue Based Meeting Scheduling pdf

Lovekesh Vig, Gautam Shroff, Puneet Agarwal, 2018, AAAI Workshops.

Multiple Robot Teaming: Coalition Formation: From Software Agents to Robots

Lovekesh Vig, 2008 .

Logical Explanations for Deep Relational Machines Using Relevance Information

Lovekesh Vig, Ashwin Srinivasan, Michael Bain, 2018, J. Mach. Learn. Res..

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

Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan, 2016, ILP.

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

Lovekesh Vig, Gautam Shroff, Puneet Agarwal, 2018, KDD.

Automatic Classification of Low-Resolution Chromosomal Images

Lovekesh Vig, Monika Sharma, Swati, 2018, ECCV Workshops.

Meta-Learning for Few-Shot Time Series Classification

Lovekesh Vig, Gautam Shroff, Pankaj Malhotra, 2019, COMAD/CODS.

Market-Based Multi-robot Coalition Formation

Lovekesh Vig, Julie A. Adams, J. Adams, 2006, DARS.

Coalition Formation: From Software Agents to Robots

Lovekesh Vig, Julie A. Adams, J. Adams, 2007, J. Intell. Robotic Syst..

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

Pankaj Malhotra, Lovekesh Vig, Gautam Shroff, 2020, ArXiv.

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

Lovekesh Vig, Ashwin Srinivasan, Gautam Shroff, 2016, CoCo@NIPS.

Recurrent Neural Networks for Online Remaining Useful Life Estimation in Ion Mill Etching System

Lovekesh Vig, Gautam Shroff, Pankaj Malhotra, 2018 .

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

Lovekesh Vig, C. Anantaram, Mouli Rastogi, 2020, CIKM.

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

Diksha Garg, Priyanka Gupta, Lovekesh Vig, 2019, ArXiv.

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

Lovekesh Vig, Ashish Gupta, Abhinandan Basu, 2011, J. Intell. Syst..

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

Lovekesh Vig, Monika Sharma, Ramya Hebbalaguppe, 2017, 2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA).

Meta-Learning for Black-box Optimization

Lovekesh Vig, Gautam Shroff, Pankaj Malhotra, 2019, ECML/PKDD.

Incorporating Symbolic Domain Knowledge into Graph Neural Networks pdf

Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash, 2020, ArXiv.

Hi-CI: Deep Causal Inference in High Dimensions

Lovekesh Vig, Gautam Shroff, Arnab Chatterjee, 2020, CD@KDD.

Constructing generative logical models for optimisation problems using domain knowledge

Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan, 2019, Machine Learning.

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

Lovekesh Vig, Monika Sharma, Swati, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Learning to Clean: A GAN Perspective

Lovekesh Vig, Abhishek Verma, Monika Sharma, 2018, ACCV Workshops.

DrawInAir: A Lightweight Gestural Interface Based on Fingertip Regression

Lovekesh Vig, Varun Jain, Gaurav Garg, 2018, ECCV Workshops.

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

Lovekesh Vig, Ashwin Srinivasan, Ankit Verma, 2017, ILP.

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

Lovekesh Vig, Ehtesham Hassan, Monika Sharma, 2016, 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA).

Multi-robot coalition formation

Lovekesh Vig, Julie A. Adams, J. Adams, 2006, IEEE Transactions on Robotics.

Improved prediction of missing protein interactome links via anomaly detection

Lovekesh Vig, Kushal Veer Singh, L. Vig, 2017, Applied Network Science.

Multi-objective Robot Coalition Formation for Non-additive Environments

Lovekesh Vig, Manoj Agarwal, Naveen Kumar, 2011, ICIRA.

Using Features From Pre-trained TimeNET For Clinical Predictions

Priyanka Gupta, Lovekesh Vig, Gautam Shroff, 2018, KDH@IJCAI.

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

Lovekesh Vig, Ehtesham Hassan, Swagat Kumar, 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).

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

Lovekesh Vig, Sucheta Chauhan, Urminder Singh, 2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

MORCFA: A Multiple Objective Robot Coalition Formation Algorithm

Lovekesh Vig, Manoj Agarwal, Naveen Kumar, 2011, IICAI.

From Monolingual to Multilingual FAQ Assistant using Multilingual Co-training

Lovekesh Vig, Gautam Shroff, Shirish Karande, 2019, EMNLP.

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

Lovekesh Vig, Monika Sharma, Kushagra Mahajan, 2019, 2019 International Conference on Document Analysis and Recognition Workshops (ICDARW).

Evolutionary RL for Container Loading pdf

Lovekesh Vig, Ashwin Srinivasan, Gautam Shroff, 2018, ESANN.

On Practical Aspects of Using RNNs for Fault Detection in Sparsely-labeled Multi-sensor Time Series

Lovekesh Vig, Puneet Agarwal, Pankaj Malhotra, 2018, Annual Conference of the PHM Society.

Online anomaly detection with concept drift adaptation using recurrent neural networks

Lovekesh Vig, Gautam Shroff, Puneet Agarwal, 2018, COMAD/CODS.

Improved Question Answering using Domain Prediction

Lovekesh Vig, Puneet Agarwal, Gautam M. Shroff, 2020, Converse@KDD.

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

Lovekesh Vig, Gautam Shroff, Arnab Chatterjee, 2019, ArXiv.

CAMTA: Causal Attention Model for Multi-touch Attribution pdf

Lovekesh Vig, Gautam Shroff, Sachin Kumar, 2020, 2020 International Conference on Data Mining Workshops (ICDMW).

Hybrid BiLSTM-Siamese network for FAQ Assistance

Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan, 2017, CIKM.

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

Lovekesh Vig, Monika Sharma, Kushagra Mahajan, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Automatic Information Extraction from Piping and Instrumentation Diagrams

Lovekesh Vig, Monika Sharma, Shubham Paliwal, 2019, ICPRAM.

ECG anomaly class identification using LSTM and error profile modeling

Lovekesh Vig, Shandar Ahmad, Sucheta Chauhan, 2019, Comput. Biol. Medicine.

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

Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan, 2019, NeSy@IJCAI.

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

Diksha Garg, Lovekesh Vig, Gautam Shroff, 2019, International Journal of Prognostics and Health Management.

NISER: Normalized Item and Session Representations to Handle Popularity Bias.

Diksha Garg, Priyanka Gupta, Pankaj Malhotra, 2019 .

Issues in Multi-Robot Coalition Formation

Lovekesh Vig, Julie A. Adams, J. Adams, 2005 .

Non-additive multi-objective robot coalition formation

Lovekesh Vig, Manoj Agarwal, Naveen Kumar, 2014, Expert Syst. Appl..

A Case Study of Transfer of Lesion-Knowledge

Lovekesh Vig, Ashwin Srinivasan, Rishab Khincha, 2020, iMIMIC/MIL3iD/LABELS@MICCAI.

Reading Industrial Inspection Sheets by Inferring Visual Relations pdf

Lovekesh Vig, Arindam Chowdhury, Rohit Rahul, 2018, ACCV Workshops.

Learning and Knowledge Transfer with Memory Networks for Machine Comprehension

Lovekesh Vig, Mohit Yadav, Gautam Shroff, 2017, EACL.

A Framework for Multi-Robot Coalition Formation

Lovekesh Vig, Julie A. Adams, J. Adams, 2005, IICAI.

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

Lovekesh Vig, Gautam Shroff, Manasi Malik, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Solving Visual Analogies Using Neural Algorithmic Reasoning pdf

Lovekesh Vig, Ashwin Srinivasan, Gautam Shroff, 2021, ArXiv.

DRTCI: Learning Disentangled Representations for Temporal Causal Inference

Lovekesh Vig, Gautam Shroff, Garima Gupta, 2022 .

CauSeR: Causal Session-based Recommendations for Handling Popularity Bias

Lovekesh Vig, Gautam Shroff, Pankaj Malhotra, 2021, CIKM.

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

Lovekesh Vig, Monika Sharma, Amey Pandit, 2021, ESANN 2021 proceedings.

Incorporating symbolic domain knowledge into graph neural networks

Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash, 2020, Machine Learning.

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

Lovekesh Vig, Mrinal Rawat, Ramya Hebbalaguppe, 2021, ArXiv.

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

Lovekesh Vig, Arushi Jain, Monika Sharma, 2021, PAKDD.

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

Lovekesh Vig, Monika Sharma, Shubham Paliwal, 2022, ESANN.

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

Lovekesh Vig, Ashwin Srinivasan, Gautam Shroff, 2021, ArXiv.

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

Lovekesh Vig, Monika Sharma, Shubham Paliwal, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

A neurocomputational approach to automaticity in motor skill learning

Lovekesh Vig, David C. Noelle, Ashish Gupta, 2012, BICA 2012.

Bayesian Networks for Interpretable Health Monitoring of Complex Systems

Lovekesh Vig, Gautam Shroff, Puneet Agarwal, 2017 .

Sparse Neural Networks for Anomaly Detection in High-Dimensional Time Series

Lovekesh Vig, Gautam Shroff, Pankaj Malhotra, 2018 .