A Framework for Multi-Robot Coalition Formation. - Lovekesh Vig; Julie A. Adams (IICAI, 2005)

Market-Based Multi-robot Coalition Formation. - Lovekesh Vig; Julie A. Adams (DARS, 2006)

Multi-robot coalition formation. - Lovekesh Vig; Julie A. Adams (IEEE Trans. Robotics, 2006)

Coalition Formation: From Software Agents to Robots. - Lovekesh Vig; Julie A. Adams (J. Intell. Robotic Syst., 2007)

The Effect of Coalition Imbalance on Multi-Robot Teams. - Lovekesh Vig; Julie A. Adams (IICAI, 2009)

A Dual Association Model for Acquisition and Extinction. - Ashish Gupta 005; Lovekesh Vig (AI*IA, 2011)

Multi-objective Robot Coalition Formation for Non-additive Environments. - Manoj Agarwal; Lovekesh Vig; Naveen Kumar 001 (ICIRA (1), 2011)

MORCFA: A Multiple Objective Robot Coalition Formation Algorithm. - Manoj Agarwal; Lovekesh Vig; Naveen Kumar 001 (IICAI, 2011)

On the relation between hunger, dopamine and action rate. - Lovekesh Vig; Ashish Gupta 005; Abhinandan Basu (IICAI, 2011)

A dual association model for the extinction of animal conditioning. - Ashish Gupta 005; Lovekesh Vig; David C. Noelle (Neurocomputing, 2011)

Multiple Objective Robot Coalition Formation. - Manoj Agarwal; Lovekesh Vig; Naveen Kumar 001 (J. Intell. Syst., 2011)

A Neurocomputational Model for the Relation Between Hunger, Dopamine and Action Rate. - Lovekesh Vig; Ashish Gupta 005; Abhinandan Basu (J. Intell. Syst., 2011)

A Cognitive Model for Generalization during Sequential Learning. - Ashish Gupta 005; Lovekesh Vig; David C. Noelle (J. Robotics, 2011)

Non-additive multi-objective robot coalition formation. - Manoj Agarwal; Naveen Kumar 001; Lovekesh Vig (Expert Syst. Appl., 2014)

Anomaly detection in ECG time signals via deep long short-term memory networks. - Sucheta Chauhan; Lovekesh Vig (DSAA, 2015)

Ensemble of deep long short term memory networks for labelling origin of replication sequences. - Urminder Singh; Sucheta Chauhan; A. Krishnamachari; Lovekesh Vig (DSAA, 2015)

Long Short Term Memory Networks for Anomaly Detection in Time Series. - Pankaj Malhotra; Lovekesh Vig; Gautam Shroff; Puneet Agarwal (ESANN, 2015)

Pedestrian Detection via Mixture of CNN Experts and Thresholded Aggregated Channel Features. - Ankit Verma; Ramya Hebbalaguppe; Lovekesh Vig; Swagat Kumar; Ehtesham Hassan (ICCV Workshops, 2015)

Parallel multi-objective multi-robot coalition formation. - Manoj Agarwal; Nitin Agrawal 002; Shikhar Sharma; Lovekesh Vig; Naveen Kumar 001 (Expert Syst. Appl., 2015)

Automatic Container Code Recognition via Spatial Transformer Networks and Connected Component Region Proposals. - Ankit Verma; Monika Sharma; Ramya Hebbalaguppe; Ehtesham Hassan; Lovekesh Vig (ICMLA, 2016)

Generation of Near-Optimal Solutions Using ILP-Guided Sampling. - Ashwin Srinivasan 001; Gautam Shroff; Lovekesh Vig; Sarmimala Saikia (ILP, 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 (ISMAR Adjunct, 2016)

Neuro-Symbolic EDA-Based Optimization Using ILP-Enhanced DBNs. - Sarmimala Saikia; Lovekesh Vig; Ashwin Srinivasan 001; Gautam Shroff; Puneet Agarwal; Richa Rawat (CoCo@NIPS, 2016)

LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection. - Pankaj Malhotra; Anusha Ramakrishnan; Gaurangi Anand; Lovekesh Vig; Puneet Agarwal; Gautam Shroff (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)

Neuro-symbolic EDA-based Optimisation using ILP-enhanced DBNs. - Sarmimala Saikia; Lovekesh Vig; Ashwin Srinivasan 001; Gautam Shroff; Puneet Agarwal; Richa Rawat (CoRR, 2016)

Generation of Near-Optimal Solutions Using ILP-Guided Sampling. - Ashwin Srinivasan 001; Gautam Shroff; Lovekesh Vig; Sarmimala Saikia; Puneet Agarwal (CoRR, 2016)

ODE - Augmented Training Improves Anomaly Detection in Sensor Data from Machines. - Mohit Yadav; Pankaj Malhotra; Lovekesh Vig; K. Sriram; Gautam Shroff (CoRR, 2016)

Hybrid BiLSTM-Siamese network for FAQ Assistance. - Prerna Khurana; Puneet Agarwal; Gautam Shroff; Lovekesh Vig; Ashwin Srinivasan 001 (CIKM, 2017)

Crowdsourcing for Chromosome Segmentation and Deep Classification. - Monika Sharma; Oindrila Saha; Anand Sriraman; Ramya Hebbalaguppe; Lovekesh Vig; Shirish Karande 001 (CVPR Workshops, 2017)

Learning and Knowledge Transfer with Memory Networks for Machine Comprehension. - Mohit Yadav; Lovekesh Vig; Gautam Shroff (EACL (1), 2017)

TimeNet: Pre-trained deep recurrent neural network for time series classification. - Pankaj Malhotra; Vishnu TV; Lovekesh Vig; Puneet Agarwal; Gautam Shroff (ESANN, 2017)

Deterministic Policy Gradient Based Robotic Path Planning with Continuous Action Spaces. - Somdyuti Paul; Lovekesh Vig (ICCV Workshops, 2017)

Siamese Networks for Chromosome Classification. - Swati; Gaurav Gupta; Mohit Yadav; Monika Sharma; Lovekesh Vig (ICCV Workshops, 2017)

Information Extraction from Hand-Marked Industrial Inspection Sheets. - Gaurav Gupta; Swati; Monika Sharma; Lovekesh Vig (CBDAR@ICDAR, 2017)

Information Bottleneck Inspired Method For Chat Text Segmentation. - Sunder Vishal; Mohit Yadav; Lovekesh Vig; Gautam Shroff (IJCNLP(1), 2017)

An Investigation into the Role of Domain-Knowledge on the Use of Embeddings. - Lovekesh Vig; Ashwin Srinivasan 001; Michael Bain 001; Ankit Verma (ILP, 2017)

Pre-trained classifiers with One Shot Similarity for context aware face verification and identification. - Monika Sharma; Ramya Hebbalaguppe; Lovekesh Vig (ISBA, 2017)

Improved prediction of missing protein interactome links via anomaly detection. - Kushal Veer Singh; Lovekesh Vig (Appl. Netw. Sci., 2017)

Deep Convolutional Neural Networks for Pairwise Causality. - Karamjit Singh; Garima Gupta; Lovekesh Vig; Gautam Shroff; Puneet Agarwal (CoRR, 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)

MEETING BOT: Reinforcement Learning for Dialogue Based Meeting Scheduling. - Vishwanath D; Lovekesh Vig; Gautam Shroff; Puneet Agarwal (AAAI 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 001 (ACCV Workshops, 2018)

Reading Industrial Inspection Sheets by Inferring Visual Relations. - Rohit Rahul; Arindam Chowdhury; Animesh; Samarth Mittal; Lovekesh Vig (ACCV Workshops, 2018)

Learning to Clean: A GAN Perspective. - Monika Sharma; Abhishek Verma; Lovekesh Vig (ACCV Workshops, 2018)

An Efficient End-to-End Neural Model for Handwritten Text Recognition. - Arindam Chowdhury; Lovekesh Vig (BMVC, 2018)

Automatic Conversational Helpdesk Solution using Seq2Seq and Slot-filling Models. - Mayur Patidar; Puneet Agarwal; Lovekesh Vig; Gautam Shroff (CIKM, 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 (COMAD/CODS, 2018)

DrawInAir: A Lightweight Gestural Interface Based on Fingertip Regression. - Gaurav Garg; Srinidhi Hegde; Ramakrishna Perla; Varun Jain; Lovekesh Vig; Ramya Hebbalaguppe (ECCV Workshops (6), 2018)

Automatic Classification of Low-Resolution Chromosomal Images. - Swati; Monika Sharma; Lovekesh Vig (ECCV Workshops (6), 2018)

Evolutionary RL for Container Loading. - Sarmimala Saikia; Richa Verma; Puneet Agarwal; Gautam Shroff; Lovekesh Vig; Ashwin Srinivasan 001 (ESANN, 2018)

Using Features From Pre-trained TimeNET For Clinical Predictions. - Priyanka Gupta 003; Pankaj Malhotra; Lovekesh Vig; Gautam Shroff (KDH@IJCAI, 2018)

Automatic Chromosome Classification using Deep Attention Based Sequence Learning of Chromosome Bands. - Monika Sharma; Swati; Lovekesh Vig (IJCNN, 2018)

Large-Scale Assessment of Deep Relational Machines. - Tirtharaj Dash; Ashwin Srinivasan 001; Lovekesh Vig; Oghenejokpeme I. Orhobor; Ross D. King (ILP, 2018)

Resolving Abstract Anaphora Implicitly in Conversational Assistants using a Hierarchically stacked RNN. - Prerna Khurana; Puneet Agarwal; Gautam Shroff; Lovekesh Vig (KDD, 2018)

Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks. - Priyanka Gupta 003; Pankaj Malhotra; Lovekesh Vig; Gautam Shroff (CoRR, 2018)

Prosocial or Selfish? Agents with different behaviors for Contract Negotiation using Reinforcement Learning. - Vishal Sunder; Lovekesh Vig; Arnab Chatterjee; Gautam Shroff (CoRR, 2018)

Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters. - Kaushal Paneri; Vishnu TV; Pankaj Malhotra; Lovekesh Vig; Gautam Shroff (AAAI, 2019)

From Monolingual to Multilingual FAQ Assistant using Multilingual Co-training. - Mayur Patidar; Surabhi Kumari; Manasi Patwardhan 001; Shirish Karande 001; Puneet Agarwal; Lovekesh Vig; Gautam Shroff (DeepLo@EMNLP-IJCNLP, 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 001; Gautam Shroff (ESANN, 2019)

Character Keypoint-Based Homography Estimation in Scanned Documents for Efficient Information Extraction. - Kushagra Mahajan; Monika Sharma; Lovekesh Vig (CBDAR@ICDAR, 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 (ICDAR, 2019)

Automatic Information Extraction from Piping and Instrumentation Diagrams. - Rohit Rahul; Shubham Paliwal; Monika Sharma; Lovekesh Vig (ICPRAM, 2019)

ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification. - Kathan Kashiparekh; Jyoti Narwariya; Pankaj Malhotra; Lovekesh Vig; Gautam Shroff (IJCNN, 2019)

ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks. - Monika Sharma; Shikha Gupta; Arindam Chowdhury; Lovekesh Vig (IJCNN, 2019)

Hierarchical Capsule Based Neural Network Architecture for Sequence Labeling. - Saurabh Srivastava; Puneet Agarwal; Gautam Shroff; Lovekesh Vig (IJCNN, 2019)

One-shot Information Extraction from Document Images using Neuro-Deductive Program Synthesis. - Vishal Sunder; Ashwin Srinivasan 001; Lovekesh Vig; Gautam Shroff; Rohit Rahul (NeSy@IJCAI, 2019)

Meta-Learning for Black-Box Optimization. - Vishnu TV; Pankaj Malhotra; Jyoti Narwariya; Lovekesh Vig; Gautam Shroff (ECML/PKDD (2), 2019)

Sequence and Time Aware Neighborhood for Session-based Recommendations: STAN. - Diksha Garg; Priyanka Gupta 003; Pankaj Malhotra; Lovekesh Vig; Gautam Shroff (SIGIR, 2019)

ECG anomaly class identification using LSTM and error profile modeling. - Sucheta Chauhan; Lovekesh Vig; Shandar Ahmad (Comput. Biol. Medicine, 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)

NISER: Normalized Item and Session Representations with Graph Neural Networks. - Priyanka Gupta 003; Diksha Garg; Pankaj Malhotra; Lovekesh Vig; Gautam Shroff (CoRR, 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)

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)

Logical Explanations for Deep Relational Machines Using Relevance Information. - Ashwin Srinivasan 001; Lovekesh Vig; Michael Bain 001 (J. Mach. Learn. Res., 2019)

Improving NMT via Filtered Back Translation. - Nikhil Jaiswal; Mayur Patidar; Surabhi Kumari; Manasi Patwardhan 001; Shirish Karande 001; Puneet Agarwal; Lovekesh Vig (WAT@AAC/IJCNLPL, 2020)

Guided-LIME: Structured Sampling based Hybrid Approach towards Explaining Blackbox Machine Learning Models. - Amit Sangroya; Mouli Rastogi; C. Anantaram; Lovekesh Vig (CIKM (Workshops), 2020)

Meta-Learning for Few-Shot Time Series Classification. - Jyoti Narwariya; Pankaj Malhotra; Lovekesh Vig; Gautam Shroff; Vishnu TV (COMAD/CODS, 2020)

Font-ProtoNet: Prototypical Network based Font Identification of Document Images in Low Data Regime. - Nikita Goel; Monika Sharma; Lovekesh Vig (CVPR Workshops, 2020)

Meta-DermDiagnosis: Few-Shot Skin Disease Identification using Meta-Learning. - Kushagra Mahajan; Monika Sharma; Lovekesh Vig (CVPR Workshops, 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 001 (CVPR Workshops, 2020)

MultiMBNN: Matched and Balanced Causal Inference with Neural Networks. - Ankit Sharma; Garima Gupta; Ranjitha Prasad; Arnab Chatterjee; Lovekesh Vig; Gautam Shroff (ESANN, 2020)

CAMTA: Causal Attention Model for Multi-touch Attribution. - Sachin Kumar; Garima Gupta; Ranjitha Prasad; Arnab Chatterjee; Lovekesh Vig; Gautam Shroff (ICDM (Workshops), 2020)

Capsule Based Neural Network Architecture to perform completeness check for Patent Eligibility Process. - Saurabh Srivastava; Puneet Agarwal; Gautam Shroff; Lovekesh Vig; Vidya Vikas (IJCNN, 2020)

Hi-CI: Deep Causal Inference in High Dimensions. - Ankit Sharma; Garima Gupta; Ranjitha Prasad; Arnab Chatterjee; Lovekesh Vig; Gautam Shroff (CD@KDD, 2020)

Improved Question Answering using Domain Prediction. - Himani Srivastava; Prerna Khurana; Saurabh Srivastava; Vaibhav Varshney; Lovekesh Vig; Puneet Agarwal; Gautam Shroff (Converse@KDD, 2020)

A Case Study of Transfer of Lesion-Knowledge. - Soundarya Krishnan; Rishab Khincha; Lovekesh Vig; Tirtharaj Dash; Ashwin Srinivasan 001 (iMIMIC/MIL3ID/LABELS@MICCAI, 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 001; Gautam Shroff (TIA@MICCAI, 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)

Handling Variable-Dimensional Time Series with Graph Neural Networks. - Vibhor Gupta; Jyoti Narwariya; Pankaj Malhotra; Lovekesh Vig; Gautam Shroff (CoRR, 2020)

Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation. - Diksha Garg; Priyanka Gupta 003; Pankaj Malhotra; 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 001 (CoRR, 2020)

CAMTA: Casual Attention Model for Multi-touch Attribution. - Sachin Kumar; Garima Gupta; Ranjitha Prasad; Arnab Chatterjee; Lovekesh Vig; Gautam Shroff (CoRR, 2020)

Transfer Learning for Clinical Time Series Analysis Using Deep Neural Networks. - Priyanka Gupta 003; Pankaj Malhotra; Jyoti Narwariya; Lovekesh Vig; Gautam Shroff (J. Heal. Informatics Res., 2020)

Constructing generative logical models for optimisation problems using domain knowledge. - Ashwin Srinivasan 001; Lovekesh Vig; Gautam Shroff (Mach. Learn., 2020)

DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust Universal Lesion Detection. - Manu Sheoran; Meghal Dani; Monika Sharma; Lovekesh Vig (BMVC, 2021)

CauSeR: Causal Session-based Recommendations for Handling Popularity Bias. - Priyanka Gupta 003; Ankit Sharma; Pankaj Malhotra; Lovekesh Vig; Gautam Shroff (CIKM, 2021)

TSR-DSAW: Table Structure Recognition via Deep Spatial Association of Words. - Arushi Jain; Shubham Paliwal; Monika Sharma; Lovekesh Vig (ESANN, 2021)

Data-Efficient Training of High-Resolution Images in Medical Domain. - Shruti Kunde; Amey Pandit; Kushagra Mahajan; Monika Sharma; Rekha Singhal; Lovekesh Vig (ESANN, 2021)

Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions. - Vibhor Gupta; Jyoti Narwariya; Pankaj Malhotra; Lovekesh Vig; Gautam Shroff (ICDM, 2021)

BCQ4DCA: Budget Constrained Deep Q-Network for Dynamic Campaign Allocation in Computational Advertising. - Manasi Malik; Garima Gupta; Lovekesh Vig; Gautam Shroff (IJCNN, 2021)

OSSR-PID: One-Shot Symbol Recognition in P&ID Sheets using Path Sampling and GCN. - Shubham Paliwal; Monika Sharma; Lovekesh Vig (IJCNN, 2021)

Using Domain-Knowledge to Assist Lead Discovery in Early-Stage Drug Design. - Tirtharaj Dash; Ashwin Srinivasan 001; Lovekesh Vig; Arijit Roy (ILP, 2021)

Digitize-PID: Automatic Digitization of Piping and Instrumentation Diagrams. - Shubham Paliwal; Arushi Jain; Monika Sharma; Lovekesh Vig (PAKDD (Workshops), 2021)

Using Program Synthesis and Inductive Logic Programming to solve Bongard Problems. - Atharv Sonwane; Sharad Chitlangia; Tirtharaj Dash; Lovekesh Vig; Gautam Shroff; Ashwin Srinivasan 001 (CoRR, 2021)

PnPOOD : Out-Of-Distribution Detection for Text Classification via Plug andPlay Data Augmentation. - Mrinal Rawat; Ramya Hebbalaguppe; Lovekesh Vig (CoRR, 2021)

Solving Visual Analogies Using Neural Algorithmic Reasoning. - Atharv Sonwane; Gautam Shroff; Lovekesh Vig; Ashwin Srinivasan 001; Tirtharaj Dash (CoRR, 2021)

Deep learning based network similarity for model selection. - Kushal Veer Singh; Ajay Kumar Verma; Lovekesh Vig (Data Sci., 2021)

Incorporating symbolic domain knowledge into graph neural networks. - Tirtharaj Dash; Ashwin Srinivasan 001; Lovekesh Vig (Mach. Learn., 2021)

Solving Visual Analogies Using Neural Algorithmic Reasoning (Student Abstract). - Atharv Sonwane; Gautam Shroff; Lovekesh Vig; Ashwin Srinivasan 001; Tirtharaj Dash (AAAI, 2022)

Handling Domain Shift for Lesion Detection via Semi-supervised Domain Adaptation. - Manu Sheoran; Monika Sharma; Meghal Dani; Lovekesh Vig (ACCV (Workshops), 2022)

Generating Conceptual Explanations for DL based ECG Classification Model. - Amit Sangroya; Suparshva Jain; Lovekesh Vig; C. Anantaram; Arijit Ukil; Sundeep Khandelwal (FLAIRS, 2022)

An Efficient Anchor-Free Universal Lesion Detection in Ct-Scans. - Manu Sheoran; Meghal Dani; Monika Sharma; Lovekesh Vig (ISBI, 2022)

Intent Detection and Discovery from User Logs via Deep Semi-Supervised Contrastive Clustering. - Rajat Kumar; Mayur Patidar; Vaibhav Varshney; Lovekesh Vig; Gautam Shroff (NAACL-HLT, 2022)

Prompt Augmented Generative Replay via Supervised Contrastive Learning for Lifelong Intent Detection. - Vaibhav Varshney; Mayur Patidar; Rajat Kumar; Lovekesh Vig; Gautam Shroff (NAACL-HLT (Findings), 2022)

Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces. - Vishwa Shah; Aditya Sharma; Gautam Shroff; Lovekesh Vig; Tirtharaj Dash; Ashwin Srinivasan 001 (NeSy, 2022)

Neural Analogical Reasoning. - Atharv Sonwane; Abhinav Lalwani; Sweta Mahajan; Gautam Shroff; Lovekesh Vig (NeSy, 2022)

Exploring Dimensions of Generalizability and Few-shot Transfer for Text-to-SQL Semantic Parsing. - Rajaswa Patil; Manasi Patwardhan 001; Shirish Karande 001; Lovekesh Vig; Gautam Shroff (TL4NLP, 2022)

DRTCI: Learning Disentangled Representations for Temporal Causal Inference. - Garima Gupta; 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)

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)

On NeuroSymbolic Solutions for PDEs. - Ritam Majumdar; Vishal Jadhav; Anirudh Deodhar; Shirish Karande 001; Lovekesh Vig (CoRR, 2022)

Neural Feature-Adaptation for Symbolic Predictions Using Pre-Training and Semantic Loss. - Vedant Shah; Aditya Agrawal; Lovekesh Vig; Ashwin Srinivasan 001; Gautam Shroff; Tanmay T. Verlekar (CoRR, 2022)

Real-time Health Monitoring of Heat Exchangers using Hypernetworks and PINNs. - Ritam Majumdar; Vishal Jadhav; Anirudh Deodhar; Shirish Karande 001; Lovekesh Vig; Venkataramana Runkana (CoRR, 2022)

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 (ACL (1), 2023)

Conceptual Explanations of ECG Classification using Large Language Models. - Amit Sangroya; Suparshva Jain; C. Anantaram; Lovekesh Vig (AIMLSystems, 2023)

Program Synthesis for Complex QA on Charts via Probabilistic Grammar Based Filtered Iterative Back-Translation. - Shabbirhussain Bhaisaheb; Shubham Paliwal; Rajaswa Patil; Manasi Patwardhan 001; Lovekesh Vig; Gautam Shroff (EACL (Findings), 2023)

X4SR: Post-Hoc Explanations for Session-based Recommendations. - Jyoti Narwariya; Priyanka Gupta 003; Garima Gupta; Lovekesh Vig; Gautam Shroff (eCom@SIGIR, 2023)

Ontology Guided Supervised Contrastive Learning For Fine-grained Attribute Extraction From Fashion Images. - Shubham Paliwal; Bhagyashree Gaikwad; Mayur Patidar; Manasi Patwardhan 001; Lovekesh Vig; Meghna Mahajan; Bagya Lakshmi V; Shirish S. Karande (eCom@SIGIR, 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 001 (EMBC, 2023)

Generalization of Fine Granular Extractions from Charts. - Shubham Paliwal; Manasi Patwardhan 001; Lovekesh Vig (ICDAR (2), 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 001 (ICIP, 2023)

Can LLMs solve generative visual analogies? - Shrey Pandit; Gautam Shroff; Ashwin Srinivasan 001; Lovekesh Vig (IARML@IJCAI, 2023)

Can You Translate for Me? Code-Switched Machine Translation with Large Language Models. - Jyotsana Khatri; Vivek Srivastava; Lovekesh Vig (IJCNLP (2), 2023)

Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning. - Rishabh Patra; Ramya Hebbalaguppe; Tirtharaj Dash; Gautam Shroff; Lovekesh Vig (WACV, 2023)

Neuro-symbolic Meta Reinforcement Learning for Trading. - S. I. Harini; Gautam Shroff; Ashwin Srinivasan 001; Prayushi Faldu; Lovekesh Vig (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 001 (CoRR, 2023)

Symbolic Regression for PDEs using Pruned Differentiable Programs. - Ritam Majumdar; Vishal Jadhav; Anirudh Deodhar; Shirish Karande 001; Lovekesh Vig; Venkataramana Runkana (CoRR, 2023)

Knowledge Transfer for Pseudo-code Generation from Low Resource Programming Language. - Ankita Sontakke; Kanika Kalra; Manasi Patwardhan 001; Lovekesh Vig; Raveendra Kumar Medicherla; Ravindra Naik; Shrishti Pradhan (CoRR, 2023)

DeepEpiSolver: Unravelling Inverse problems in Covid, HIV, Ebola and Disease Transmission. - Ritam Majumdar; Shirish Karande 001; Lovekesh Vig (CoRR, 2023)

Neuro-symbolic Zero-Shot Code Cloning with Cross-Language Intermediate Representation. - Krishnam Hasija; Shrishti Pradhan; Manasi Patwardhan 001; Raveendra Kumar Medicherla; Lovekesh Vig; Ravindra Naik (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 001; Lovekesh Vig; Gautam Shroff (CoRR, 2023)

HyperLoRA for PDEs. - Ritam Majumdar; Vishal Jadhav; Anirudh Deodhar; Shirish Karande 001; Lovekesh Vig; Venkataramana Runkana (CoRR, 2023)

How important are specialized transforms in Neural Operators? - Ritam Majumdar; Shirish Karande 001; Lovekesh Vig (CoRR, 2023)

Can Physics Informed Neural Operators Self Improve? - Ritam Majumdar; Amey Varhade; Shirish S. Karande; Lovekesh Vig (CoRR, 2023)

Generating Novel Leads for Drug Discovery Using LLMs with Logical Feedback. - Shreyas Bhat Brahmavar; Ashwin Srinivasan 001; Tirtharaj Dash; Sowmya Ramaswamy Krishnan; Lovekesh Vig; Arijit Roy; Raviprasad Aduri (AAAI, 2024)

BudgetMLAgent: A Cost-Effective LLM Multi-Agent system for Automating Machine Learning Tasks. - Shubham Gandhi; Manasi Patwardhan 001; Lovekesh Vig; Gautam Shroff (AIMLSystems, 2024)

Fashion Attribute Extraction Under an Evolving Ontology. - Aditya Kanade 003; Manasi Patwardhan 001; Mayur Patidar; Lovekesh Vig; Bagyalakshmi Vasudevan (ECCV Workshops (1), 2024)

Translation of Low-Resource COBOL to Logically Correct and Readable Java leveraging High-Resource Java Refinement. - Shubham Gandhi; Manasi Patwardhan 001; Jyotsana Khatri; Lovekesh Vig; Raveendra Kumar Medicherla (LLM4CODE@ICSE, 2024)

OrienText: Surface Oriented Textual Image Generation. - Shubham Singh Paliwal; Arushi Jain; Monika Sharma; Vikram Jamwal; Lovekesh Vig (SIGGRAPH Asia Technical Communications, 2024)

SCM4SR: Structural Causal Model-based Data Augmentation for Robust Session-based Recommendation. - Muskan Gupta; Priyanka Gupta 003; Jyoti Narwariya; Lovekesh Vig; Gautam Shroff (SIGIR, 2024)

Acceleron: A Tool to Accelerate Research Ideation. - Harshit Nigam; Manasi Patwardhan 001; Lovekesh Vig; Gautam Shroff (CoRR, 2024)

CustomText: Customized Textual Image Generation using Diffusion Models. - Shubham Paliwal; Arushi Jain; Monika Sharma; Vikram Jamwal; Lovekesh Vig (CoRR, 2024)

Multi-Subject Personalization. - Arushi Jain; Shubham Paliwal; Monika Sharma; Vikram Jamwal; Lovekesh Vig (CoRR, 2024)

SmartFlow: Robotic Process Automation using LLMs. - Arushi Jain; Shubham Paliwal; Monika Sharma; Lovekesh Vig; Gautam Shroff (CoRR, 2024)

Translating Across Cultures: LLMs for Intralingual Cultural Adaptation. - Pushpdeep Singh; Mayur Patidar; Lovekesh Vig (CoRR, 2024)

Guided Diffusion-based Counterfactual Augmentation for Robust Session-based Recommendation. - Muskan Gupta; Priyanka Gupta 003; Lovekesh Vig (CoRR, 2024)

AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research. - Yilun Zhao 001; Weiyuan Chen; Zhijian Xu; Manasi Patwardhan 001; Chengye Wang; Yixin Liu 003; Lovekesh Vig; Arman Cohan (ACL (1), 2025)

MIR: Methodology Inspiration Retrieval for Scientific Research Problems. - Aniketh Garikaparthi; Manasi Patwardhan 001; Aditya Sanjiv Kanade; Aman Hassan; Lovekesh Vig; Arman Cohan (ACL (1), 2025)

Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers. - Zhijian Xu; Yilun Zhao 001; Manasi Patwardhan 001; Lovekesh Vig; Arman Cohan (ACL (1), 2025)

DBRouting: Routing End User Queries to Databases for Answerability. - Priyangshu Mandal; Manasi Patwardhan 001; Mayur Patidar; Lovekesh Vig (CoRR, 2025)

DifCluE: Generating Counterfactual Explanations with Diffusion Autoencoders and modal clustering. - Suparshva Jain; Amit Sangroya; Lovekesh Vig (CoRR, 2025)

IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery. - Aniketh Garikaparthi; Manasi Patwardhan 001; Lovekesh Vig; Arman Cohan (CoRR, 2025)

ResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research Methodologies. - Shubham Gandhi; Dhruv Shah; Manasi Patwardhan 001; Lovekesh Vig; Gautam Shroff (CoRR, 2025)