Gautam Shroff

According to our database, Gautam Shroff authored at least 135 papers between 1992 and 2024.

Collaborative distances:

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

2024

SmartFlow: Robotic Process Automation using LLMs.

Arushi Jain, Shubham Paliwal, Monika Sharma, Lovekesh Vig, Gautam Shroff

CoRR, 2024

Acceleron: A Tool to Accelerate Research Ideation.

Harshit Nigam, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff

CoRR, 2024

SCM4SR: Structural Causal Model-based Data Augmentation for Robust Session-based Recommendation.

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

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Numin: Weighted-Majority Ensembles for Intraday Trading.

Aniruddha Mukherjee, Rekha Singhal, Gautam Shroff

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

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 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 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

Conservative Predictions on Noisy Financial Data.

Omkar Nabar, Gautam Shroff

Proceedings of the 4th ACM International Conference on AI in Finance, 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

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

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

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

A Program-Synthesis Challenge for ARC-Like Tasks.

Aditya Challa, Ashwin Srinivasan, Michael Bain, Gautam Shroff

Proceedings of the Inductive Logic Programming - 31st International Conference, 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

Solving Visual Analogies Using Neural Algorithmic Reasoning.

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

CoRR, 2021

Forecasting Market Prices using DL with Data Augmentation and Meta-learning: ARIMA still wins!

Vedant Shah, Gautam Shroff

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

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

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

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 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

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

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

Privacy Guidelines for Contact Tracing Applications.

Manish Shukla, Rajan M. A, Sachin Lodha, Gautam Shroff, Ramesh Raskar

CoRR, 2020

Recommending in changing times.

Shruti Kunde, Mayank Mishra, Amey Pandit, Rekha Singhal, Manoj Karunakaran Nambiar, Gautam Shroff, Shashank Gupta

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 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

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-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

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

Computing research at Tata Consultancy Services.

Gautam Shroff, K. Ananth Krishnan

Commun. ACM, 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

Natural Language Business Intelligence Question Answering Through SeqtoSeq Transfer Learning.

Amit Sangroya, Pratik Saini, Mrinal Rawat, Gautam Shroff, C. Anantaram

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2019

CRESA: A Deep Learning Approach to Competing Risks, Recurrent Event Survival Analysis.

Garima Gupta, Vishal Sunder, Ranjitha Prasad, Gautam Shroff

Proceedings of the Advances in Knowledge Discovery and Data Mining, 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

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

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

Retrieving Relationships from a Knowledge Graph for Question Answering.

Puneet Agarwal, Maya Ramanath, Gautam Shroff

Proceedings of the Advances in Information Retrieval, 2019

Fast Online 'Next Best Offers' using Deep Learning.

Rekha Singhal, Gautam Shroff, Mukund Kumar, Sharod Roy Choudhury, Sanket Kadarkar, Rupinder Virk, Siddharth Verma, Vartika Tewari

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

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 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

Visual Predictive Analytics using iFuseML.

Gunjan Sehgal, Mrinal Rawat, Bindu Gupta, Garima Gupta, Geetika Sharma, Gautam Shroff

Proceedings of the 9th International EuroVis Workshop on Visual Analytics, 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

Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, 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

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

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

Proceedings of the 34th IEEE International Conference on Data Engineering, 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

Comparative benchmarking of causal discovery algorithms.

Karamjit Singh, Garima Gupta, Vartika Tewari, Gautam Shroff

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

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

Crop Planning using Stochastic Visual Optimization.

Gunjan Sehgal, Bindu Gupta, Kaushal Paneri, Karamjit Singh, Geetika Sharma, 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

Comparative Benchmarking of Causal Discovery Techniques.

Karamjit Singh, Garima Gupta, Vartika Tewari, Gautam Shroff

CoRR, 2017

Deep Convolutional Neural Networks for Pairwise Causality.

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

CoRR, 2017

Minimally-Supervised Attribute Fusion for Data Lakes.

Karamjit Singh, Garima Gupta, Gautam Shroff, Puneet Agarwal

CoRR, 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

Automated Product-Attribute Mapping.

Karamjit Singh, Garima Gupta, Gautam Shroff, Puneet Agarwal

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

Visual Statistical Analysis of Environmental Sensor Data.

Bindu Gupta, Kaushal Paneri, Gunjan Sehgal, Karamjit Singh, Geetika Sharma, Gautam Shroff

Proceedings of the 12th IEEE Conference on Visual Analytics Science and Technology, 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

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

Relationship Queries on Large graphs using Pregel.

Puneet Agarwal, Maya Ramanath, Gautam Shroff

CoRR, 2016

Generic Framework to Predict Repeat Behavior of Customers Using Their Transaction History.

Auon Haidar Kazmi, Gautam Shroff, Puneet Agarwal

Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 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

Activity Detection from Email Meta-Data Clustering.

Mayur Patidar, Shaurya Rohatgi, Ashish Chaudhary, Mahesh P. Singh, Puneet Agarwal, Gautam Shroff

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Visual Bayesian fusion to navigate a data lake.

Karamjit Singh, Kaushal Paneri, Aditeya Pandey, Garima Gupta, Geetika Sharma, Puneet Agarwal, Gautam Shroff

Proceedings of the 19th International Conference on Information Fusion, 2016

2015

Multi-sensor Visual Analytics Supported by Machine-Learning Models.

Geetika Sharma, Gautam Shroff, Aditeya Pandey, Brijendra Singh, Gunjan Sehgal, Kaushal Paneri, Puneet Agarwal

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Business data fusion.

Surya Yadav, Gautam Shroff, Ehtesham Hassan, Puneet Agarwal

Proceedings of the 18th International Conference on Information Fusion, 2015

Group-Based Pricing to Shape Demand in Real-Time Electricity Markets.

Rahul Agrawal, Anirban Chakraborti, Karamjit Singh, Gautam Shroff, Venkatesh Sarangan

Proceedings of the Multi-Agent Systems and Agreement Technologies, 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

Predictive reliability mining for early warnings in populations of connected machines.

Karamjit Singh, Gautam Shroff, Puneet Agarwal

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

Succinctly summarizing machine usage via multi-subspace clustering of multi-sensor data.

Sarmimala Saikia, Gautam Shroff, Puneet Agarwal, Ashwin Srinivasan

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

Multi-sensor event detection using shape histograms.

Ehtesham Hassan, Gautam Shroff, Puneet Agarwal

Proceedings of the Second ACM IKDD Conference on Data Sciences, 2015

Efficiently discovering frequent motifs in large-scale sensor data.

Puneet Agarwal, Gautam Shroff, Sarmimala Saikia, Zaigham Khan

Proceedings of the Second ACM IKDD Conference on Data Sciences, 2015

Distributed Algorithm for Relationship Queries on Large Graphs.

Puneet Agarwal, Maya Ramanath, Gautam Shroff

Proceedings of the 2015 Workshop on Large-Scale and Distributed System for Information Retrieval, 2015

2014

Warranty Cost Estimation Using Bayesian Network.

Karamjit Singh, Puneet Agarwal, Gautam Shroff

CoRR, 2014

Incremental Entity Resolution from Linked Documents.

Pankaj Malhotra, Puneet Agarwal, Gautam Shroff

CoRR, 2014

Enterprise Contextual Intelligence.

Gautam Shroff, Lipika Dey, Hiranmay Ghosh

Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

Interactively Visualizing Summaries of Rules and Exceptions.

Geetika Sharma, Gautam Shroff, Aditeya Pandey, Puneet Agarwal, Ashwin Srinivasan

Proceedings of the 5th International EuroVis Workshop on Visual Analytics, 2014

Prescriptive information fusion.

Gautam Shroff, Puneet Agarwal, Karamjit Singh, Auon Haidar Kazmi, Sapan Shah, Avadhut Sardeshmukh

Proceedings of the 17th International Conference on Information Fusion, 2014

Incremental entity fusion from linked documents.

Pankaj Malhotra, Puneet Agarwal, Gautam Shroff

Proceedings of the 17th International Conference on Information Fusion, 2014

Graph-Parallel Entity Resolution using LSH & IMM.

Pankaj Malhotra, Puneet Agarwal, Gautam Shroff

Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), 2014

Exploratory Data Analysis Using Alternating Covers of Rules and Exceptions.

Sarmimala Saikia, Gautam Shroff, Puneet Agarwal, Ashwin Srinivasan, Aditeya Pandey, Gaurangi Anand

Proceedings of the 20th International Conference on Management of Data, 2014

2013

Email Analytics for Activity Management and Insight Discovery.

Lipika Dey, Sameera Bharadwaja H., G. Meera, Gautam Shroff

Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 2013

Approximate Incremental Big-Data Harmonization.

Puneet Agarwal, Gautam Shroff, Pankaj Malhotra

Proceedings of the IEEE International Congress on Big Data, 2013

2012

Catching the Long-Tail: Extracting Local News Events from Twitter.

Puneet Agarwal, Rajgopal Vaithiyanathan, Saurabh Sharma, Gautam Shroff

Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

2011

A blackboard architecture for data-intensive information fusion using locality-sensitive hashing.

Gautam Shroff, Saurabh Sharma, Puneet Agarwal, Shefali Bhat

Proceedings of the 14th International Conference on Information Fusion, 2011

Enterprise information fusion for real-time business intelligence.

Gautam Shroff, Puneet Agarwal, Lipika Dey

Proceedings of the 14th International Conference on Information Fusion, 2011

2010

Mixed-focus collaboration without compromising individual or group work.

Prasun Dewan, Puneet Agarwal, Gautam Shroff, Rajesh Hegde

Proceedings of the 2nd ACM SIGCHI Symposium on Engineering Interactive Computing System, 2010

2009

Instant multi-tier web applications without tears.

Gautam Shroff, Puneet Agarwal, Premkumar T. Devanbu

Proceedings of the Proceeding of the 2nd Annual India Software Engineering Conference, 2009

InstantApps: A WYSIWYG model driven interpreter for web applications.

Gautam Shroff, Puneet Agarwal, Premkumar T. Devanbu

Proceedings of the 31st International Conference on Software Engineering, 2009

Distributed side-by-side programming.

Prasun Dewan, Puneet Agarwal, Gautam Shroff, Rajesh Hegde

Proceedings of the 2009 ICSE Workshop on Cooperative and Human Aspects on Software Engineering, 2009

Experiments in distributed side-by-side software development.

Prasun Dewan, Puneet Agarwal, Gautam Shroff, Rajesh Hegde

Proceedings of the 5th International Conference on Collaborative Computing: Networking, 2009

2008

Dev 2.0: model driven development in the cloud.

Gautam Shroff

Proceedings of the 16th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2008

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

Influencing factors in outsourced software maintenance.

Pankaj Bhatt, Williams K, Gautam Shroff, Arun Kumar Misra

ACM SIGSOFT Softw. Eng. Notes, 2006

An Empirical Study of Factors and their Relationships in Outsourced Software Maintenance.

Pankaj Bhatt, Gautam Shroff, K. Williams, Arun Kumar Misra

Proceedings of the 13th Asia-Pacific Software Engineering Conference (APSEC 2006), 2006

2005

JfelX: A Dynamic Model Driven Architecture.

Abhiram Gandhe, Puneet Agarwal, Gautam Shroff

Proceedings of the International Conference on Software Engineering Research and Practice, 2005

Collaborative development of business applications.

Gautam Shroff, Anish Mehta, Puneet Agarwal, Rajesh Sinha

Proceedings of the 1st International Conference on Collaborative Computing: Networking, 2005

2004

Dynamics of software maintenance.

Pankaj Bhatt, Gautam Shroff, Arun Kumar Misra

ACM SIGSOFT Softw. Eng. Notes, 2004

1996

Transparent parallel replication of logically partitioned databases.

Rekha Goel, Gautam M. Shroff

Proceedings of the 3rd International Conference on High Performance Computing, 1996

1992

On updating signal subspaces.

Christian H. Bischof, Gautam M. Shroff

IEEE Trans. Signal Process., 1992

Adaptive Condition Estimation for Rank-One Updates of QR Factorizations.

Gautam M. Shroff, Christian H. Bischof

SIAM J. Matrix Anal. Appl., 1992