Adaptive Condition Estimation for Rank-One Updates of QR Factorizations. - Gautam M. Shroff; Christian H. Bischof (SIAM J. Matrix Anal. Appl., 1992)

On updating signal subspaces. - Christian H. Bischof; Gautam M. Shroff (IEEE Trans. Signal Process., 1992)

Transparent parallel replication of logically partitioned databases. - Rekha Goel; Gautam M. Shroff (HiPC, 1996)

Dynamics of software maintenance. - Pankaj Bhatt; Gautam Shroff; Arun Kumar Misra (ACM SIGSOFT Softw. Eng. Notes, 2004)

Collaborative development of business applications. - Gautam Shroff; Anish Mehta; Puneet Agarwal; Rajesh Sinha (CollaborateCom, 2005)

JfelX: A Dynamic Model Driven Architecture. - Abhiram Gandhe; Puneet Agarwal; Gautam Shroff (Software Engineering Research and Practice, 2005)

An Empirical Study of Factors and their Relationships in Outsourced Software Maintenance. - Pankaj Bhatt; Gautam Shroff; K. Williams; Arun Kumar Misra (APSEC, 2006)

Influencing factors in outsourced software maintenance. - Pankaj Bhatt; Williams K; Gautam Shroff; Arun Kumar Misra (ACM SIGSOFT Softw. Eng. Notes, 2006)

An influence model for factors in outsourced software maintenance. - Pankaj Bhatt; Gautam Shroff; C. Anantaram; Arun Kumar Misra (J. Softw. Maintenance Res. Pract., 2006)

Dev 2.0: model driven development in the cloud. - Gautam Shroff (SIGSOFT FSE, 2008)

Experiments in distributed side-by-side software development. - Prasun Dewan; Puneet Agarwal; Gautam Shroff; Rajesh Hegde (CollaborateCom, 2009)

Distributed side-by-side programming. - Prasun Dewan; Puneet Agarwal; Gautam Shroff; Rajesh Hegde (CHASE, 2009)

InstantApps: A WYSIWYG model driven interpreter for web applications. - Gautam Shroff; Puneet Agarwal; Premkumar T. Devanbu (ICSE Companion, 2009)

Instant multi-tier web applications without tears. - Gautam Shroff; Puneet Agarwal; Premkumar T. Devanbu (ISEC, 2009)

Mixed-focus collaboration without compromising individual or group work. - Prasun Dewan; Puneet Agarwal; Gautam Shroff; Rajesh Hegde (EICS, 2010)

Enterprise information fusion for real-time business intelligence. - Gautam Shroff; Puneet Agarwal; Lipika Dey (FUSION, 2011)

A blackboard architecture for data-intensive information fusion using locality-sensitive hashing. - Gautam Shroff; Saurabh Sharma; Puneet Agarwal; Shefali Bhat (FUSION, 2011)

Catching the Long-Tail: Extracting Local News Events from Twitter. - Puneet Agarwal; Rajgopal Vaithiyanathan; Saurabh Sharma; Gautam Shroff (ICWSM, 2012)

Approximate Incremental Big-Data Harmonization. - Puneet Agarwal; Gautam Shroff; Pankaj Malhotra (BigData Congress, 2013)

Email Analytics for Activity Management and Insight Discovery. - Lipika Dey; Sameera Bharadwaja H.; G. Meera; Gautam Shroff (Web Intelligence, 2013)

Exploratory Data Analysis Using Alternating Covers of Rules and Exceptions. - Sarmimala Saikia; Gautam Shroff; Puneet Agarwal; Ashwin Srinivasan 001; Aditeya Pandey; Gaurangi Anand (COMAD, 2014)

Graph-Parallel Entity Resolution using LSH & IMM. - Pankaj Malhotra; Puneet Agarwal; Gautam Shroff (EDBT/ICDT Workshops, 2014)

Incremental entity fusion from linked documents. - Pankaj Malhotra; Puneet Agarwal; Gautam Shroff (FUSION, 2014)

Prescriptive information fusion. - Gautam Shroff; Puneet Agarwal; Karamjit Singh; Auon Haidar Kazmi; Sapan Shah; Avadhut Sardeshmukh (FUSION, 2014)

Interactively Visualizing Summaries of Rules and Exceptions. - Geetika Sharma; Gautam Shroff; Aditeya Pandey; Puneet Agarwal; Ashwin Srinivasan 001 (EuroVA@EuroVis, 2014)

Enterprise Contextual Intelligence. - Gautam Shroff; Lipika Dey; Hiranmay Ghosh (WI-IAT (1), 2014)

Incremental Entity Resolution from Linked Documents. - Pankaj Malhotra; Puneet Agarwal; Gautam Shroff (CoRR, 2014)

Warranty Cost Estimation Using Bayesian Network. - Karamjit Singh; Puneet Agarwal; Gautam Shroff (CoRR, 2014)

Distributed Algorithm for Relationship Queries on Large Graphs. - Puneet Agarwal; Maya Ramanath; Gautam Shroff (LSDS-IR@CIKM, 2015)

Efficiently discovering frequent motifs in large-scale sensor data. - Puneet Agarwal; Gautam Shroff; Sarmimala Saikia; Zaigham Khan (CODS, 2015)

Multi-sensor event detection using shape histograms. - Ehtesham Hassan; Gautam Shroff; Puneet Agarwal (CODS, 2015)

Succinctly summarizing machine usage via multi-subspace clustering of multi-sensor data. - Sarmimala Saikia; Gautam Shroff; Puneet Agarwal; Ashwin Srinivasan 001 (DSAA, 2015)

Predictive reliability mining for early warnings in populations of connected machines. - Karamjit Singh; Gautam Shroff; Puneet Agarwal (DSAA, 2015)

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

Group-Based Pricing to Shape Demand in Real-Time Electricity Markets. - Rahul Agrawal; Anirban Chakraborti; Karamjit Singh; Gautam Shroff; Venkatesh Sarangan (EUMAS/AT, 2015)

Business data fusion. - Surya Yadav; Gautam Shroff; Ehtesham Hassan; Puneet Agarwal (FUSION, 2015)

Multi-sensor Visual Analytics Supported by Machine-Learning Models. - Geetika Sharma; Gautam Shroff; Aditeya Pandey; Brijendra Singh; Gunjan Sehgal; Kaushal Paneri; Puneet Agarwal (ICDM Workshops, 2015)

Visual Bayesian fusion to navigate a data lake. - Karamjit Singh; Kaushal Paneri; Aditeya Pandey; Garima Gupta; Geetika Sharma; Puneet Agarwal; Gautam Shroff (FUSION, 2016)

Activity Detection from Email Meta-Data Clustering. - Mayur Patidar; Shaurya Rohatgi; Ashish Chaudhary; Mahesh P. Singh; Puneet Agarwal; Gautam Shroff (ICDM Workshops, 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)

Generic Framework to Predict Repeat Behavior of Customers Using Their Transaction History. - Auon Haidar Kazmi; Gautam Shroff; Puneet Agarwal (WI, 2016)

Relationship Queries on Large graphs using Pregel. - Puneet Agarwal; Maya Ramanath; 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)

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)

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)

Visual Statistical Analysis of Environmental Sensor Data. - Bindu Gupta; Kaushal Paneri; Gunjan Sehgal; Karamjit Singh; Geetika Sharma; Gautam Shroff (VAST, 2017)

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

Automated Product-Attribute Mapping. - Karamjit Singh; Garima Gupta; Gautam Shroff; Puneet Agarwal (PAKDD (Workshops), 2017)

A complex network analysis of ethnic conflicts and human rights violations. - Kiran Sharma; Gunjan Sehgal; Bindu Gupta; Geetika Sharma; Arnab Chatterjee; Anirban Chakraborti; Gautam Shroff (CoRR, 2017)

Minimally-Supervised Attribute Fusion for Data Lakes. - Karamjit Singh; Garima Gupta; Gautam Shroff; Puneet Agarwal (CoRR, 2017)

Deep Convolutional Neural Networks for Pairwise Causality. - Karamjit Singh; Garima Gupta; Lovekesh Vig; Gautam Shroff; Puneet Agarwal (CoRR, 2017)

Comparative Benchmarking of Causal Discovery Techniques. - Karamjit Singh; Garima Gupta; Vartika Tewari; Gautam Shroff (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)

Crop Planning using Stochastic Visual Optimization. - Gunjan Sehgal; Bindu Gupta; Kaushal Paneri; Karamjit Singh; Geetika Sharma; 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)

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)

Comparative benchmarking of causal discovery algorithms. - Karamjit Singh; Garima Gupta; Vartika Tewari; Gautam Shroff (COMAD/CODS, 2018)

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

KNADIA: Enterprise KNowledge Assisted DIAlogue Systems Using Deep Learning. - Mahesh P. Singh; Puneet Agarwal; Ashish Chaudhary; Gautam Shroff; Prerna Khurana; Mayur Patidar; Vivek Bisht; Rachit Bansal; Prateek Sachan; Rohit Kumar (ICDE, 2018)

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

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

MobiCom'18 Panel: Hammer & Nail vis-a-vis AI / ML Applications to Networked Systems. - Pravin Bhagwat; Andrea Goldsmith; Manish Gupta; Rajeev Rastogi; Gautam Shroff (MobiCom, 2018)

Visual Predictive Analytics using iFuseML. - Gunjan Sehgal; Mrinal Rawat; Bindu Gupta; Garima Gupta; Geetika Sharma; Gautam Shroff (EuroVA@EuroVis, 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)

A Reinforcement Learning Framework for Container Selection and Ship Load Sequencing in Ports. - Richa Verma; Sarmimala Saikia; Harshad Khadilkar; Puneet Agarwal; Gautam Shroff; Ashwin Srinivasan 001 (AAMAS, 2019)

Fast Online 'Next Best Offers' using Deep Learning. - Rekha Singhal; Gautam Shroff; Mukund Kumar 001; Sharod Roy Choudhury; Sanket Kadarkar; Rupinder Virk; Siddharth Verma; Vartika Tewari (COMAD/CODS, 2019)

Retrieving Relationships from a Knowledge Graph for Question Answering. - Puneet Agarwal; Maya Ramanath; Gautam Shroff (ECIR (1), 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)

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

CRESA: A Deep Learning Approach to Competing Risks, Recurrent Event Survival Analysis. - Garima Gupta; Vishal Sunder; Ranjitha Prasad; Gautam Shroff (PAKDD (2), 2019)

Natural Language Business Intelligence Question Answering Through SeqtoSeq Transfer Learning. - Amit Sangroya; Pratik Saini; Mrinal Rawat; Gautam Shroff; C. Anantaram (PAKDD (Workshops), 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)

Computing research at Tata Consultancy Services. - Gautam Shroff; K. Ananth Krishnan (Commun. ACM, 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)

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

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)

Recommending in changing times. - Shruti Kunde; Mayank Mishra; Amey Pandit; Rekha Singhal; Manoj Karunakaran Nambiar; Gautam Shroff; Shashank Gupta (RecSys, 2020)

Privacy Guidelines for Contact Tracing Applications. - Manish Shukla 001; Rajan MA; Sachin Lodha; Gautam Shroff; Ramesh Raskar (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)

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)

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)

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

Complex Question Answering on knowledge graphs using machine translation and multi-task learning. - Saurabh Srivastava; Mayur Patidar; Sudip Chowdhury; Puneet Agarwal; Indrajit Bhattacharya; Gautam Shroff (EACL, 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)

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)

Forecasting Market Prices using DL with Data Augmentation and Meta-learning: ARIMA still wins! - Vedant Shah; Gautam Shroff (CoRR, 2021)

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

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

A Program-Synthesis Challenge for ARC-Like Tasks. - Aditya Challa; Ashwin Srinivasan 001; Michael Bain 001; Gautam Shroff (ILP, 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)

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)

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)

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)

Conservative Predictions on Noisy Financial Data. - Omkar Nabar; Gautam Shroff (ICAIF, 2023)

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

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)

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

Numin: Weighted-Majority Ensembles for Intraday Trading. - Aniruddha Mukherjee; Rekha Singhal; Gautam Shroff (ICAIF, 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)

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

ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC). - Kartik Singhal; Gautam Shroff (AAAI, 2025)

ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) (Student Abstract). - Kartik Singhal; Gautam Shroff (AAAI, 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)