Gautam Shroff - RankMe

160 papers A* 10A 8B 15C 11Misc 2Journal 62Unranked 49

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) (Student Abstract). AAAI Kartik Singhal, Gautam Shroff
2025	A*	`conf`	ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC). AAAI Kartik Singhal, Gautam Shroff
2025	J	`jnl`	ResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research Methodologies. CoRR Shubham Gandhi, Dhruv Shah, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff
2024	J	`jnl`	Acceleron: A Tool to Accelerate Research Ideation. CoRR Harshit Nigam, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff
2024	—	`conf`	BudgetMLAgent: A Cost-Effective LLM Multi-Agent system for Automating Machine Learning Tasks. AIMLSystems Shubham Gandhi, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff
2024	J	`jnl`	BudgetMLAgent: A Cost-Effective LLM Multi-Agent system for Automating Machine Learning Tasks. CoRR Shubham Gandhi, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff
2024	J	`jnl`	ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC). CoRR Kartik Singhal, Gautam Shroff
2024	—	`conf`	Numin: Weighted-Majority Ensembles for Intraday Trading. ICAIF Aniruddha Mukherjee, Rekha Singhal, Gautam Shroff
2024	J	`jnl`	Numin: Weighted-Majority Ensembles for Intraday Trading. CoRR Aniruddha Mukherjee, Rekha Singhal, Gautam Shroff
2024	A*	`conf`	SCM4SR: Structural Causal Model-based Data Augmentation for Robust Session-based Recommendation. SIGIR Muskan Gupta, Priyanka Gupta, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff
2024	J	`jnl`	SmartFlow: Robotic Process Automation using LLMs. CoRR Arushi Jain, Shubham Paliwal, Monika Sharma, Lovekesh Vig, Gautam Shroff
2023	J	`jnl`	Adapt and Decompose: Efficient Generalization of Text-to-SQL via Domain Adapted Least-To-Most Prompting. CoRR Aseem Arora, Shabbirhussain Bhaisaheb, Harshit Nigam, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff
2023	A	`conf`	Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning. WACV Rishabh Patra, Ramya Hebbalaguppe, Tirtharaj Dash, Gautam Shroff, Lovekesh Vig
2023	—	`conf`	Can LLMs solve generative visual analogies? IARML@IJCAI Shrey Pandit, Gautam Shroff, Ashwin Srinivasan, Lovekesh Vig
2023	—	`conf`	Conservative Predictions on Noisy Financial Data. ICAIF Omkar Nabar, Gautam Shroff
2023	J	`jnl`	Conservative Predictions on Noisy Financial Data. CoRR Omkar Nabar, Gautam Shroff
2023	J	`jnl`	Neuro-symbolic Meta Reinforcement Learning for Trading. CoRR S. I. Harini, Gautam Shroff, Ashwin Srinivasan, Prayushi Faldu, Lovekesh Vig
2023	—	`conf`	Program Synthesis for Complex QA on Charts via Probabilistic Grammar Based Filtered Iterative Back-Translation. EACL (Findings) Shabbirhussain Bhaisaheb, Shubham Paliwal, Rajaswa Patil, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff
2023	—	`conf`	X4SR: Post-Hoc Explanations for Session-based Recommendations. eCom@SIGIR Jyoti Narwariya, Priyanka Gupta, Garima Gupta, Lovekesh Vig, Gautam Shroff
2022	B	`conf`	A Program-Synthesis Challenge for ARC-Like Tasks. ILP Aditya Challa, Ashwin Srinivasan, Michael Bain, Gautam Shroff
2022	J	`jnl`	Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning. CoRR Ramya Hebbalaguppe, Rishabh Patra, Tirtharaj Dash, Gautam Shroff, Lovekesh Vig
2022	J	`jnl`	Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions. CoRR Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2022	J	`jnl`	DRTCI: Learning Disentangled Representations for Temporal Causal Inference. CoRR Garima Gupta, Lovekesh Vig, Gautam Shroff
2022	—	`conf`	Exploring Dimensions of Generalizability and Few-shot Transfer for Text-to-SQL Semantic Parsing. TL4NLP Rajaswa Patil, Manasi Patwardhan, Shirish Karande, Lovekesh Vig, Gautam Shroff
2022	—	`conf`	Intent Detection and Discovery from User Logs via Deep Semi-Supervised Contrastive Clustering. NAACL-HLT Rajat Kumar, Mayur Patidar, Vaibhav Varshney, Lovekesh Vig, Gautam Shroff
2022	C	`conf`	Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces. NeSy Vishwa Shah, Aditya Sharma, Gautam Shroff, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan
2022	J	`jnl`	Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces. CoRR Vishwa Shah, Aditya Sharma, Gautam Shroff, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan
2022	J	`jnl`	Learning to Liquidate Forex: Optimal Stopping via Adaptive Top-K Regression. CoRR Diksha Garg, Pankaj Malhotra, Anil Bhatia, Sanjay Bhat, Lovekesh Vig, Gautam Shroff
2022	C	`conf`	Neural Analogical Reasoning. NeSy Atharv Sonwane, Abhinav Lalwani, Sweta Mahajan, Gautam Shroff, Lovekesh Vig
2022	J	`jnl`	Neural Feature-Adaptation for Symbolic Predictions Using Pre-Training and Semantic Loss. CoRR Vedant Shah, Aditya Agrawal, Lovekesh Vig, Ashwin Srinivasan, Gautam Shroff, Tanmay T. Verlekar
2022	—	`conf`	Prompt Augmented Generative Replay via Supervised Contrastive Learning for Lifelong Intent Detection. NAACL-HLT (Findings) Vaibhav Varshney, Mayur Patidar, Rajat Kumar, Lovekesh Vig, Gautam Shroff
2022	A*	`conf`	Solving Visual Analogies Using Neural Algorithmic Reasoning (Student Abstract). AAAI Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash
2021	B	`conf`	BCQ4DCA: Budget Constrained Deep Q-Network for Dynamic Campaign Allocation in Computational Advertising. IJCNN Manasi Malik, Garima Gupta, Lovekesh Vig, Gautam Shroff
2021	A	`conf`	CauSeR: Causal Session-based Recommendations for Handling Popularity Bias. CIKM Priyanka Gupta, Ankit Sharma, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2021	A	`conf`	Complex Question Answering on knowledge graphs using machine translation and multi-task learning. EACL Saurabh Srivastava, Mayur Patidar, Sudip Chowdhury, Puneet Agarwal, Indrajit Bhattacharya, Gautam Shroff
2021	A*	`conf`	Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions. ICDM Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2021	J	`jnl`	Forecasting Market Prices using DL with Data Augmentation and Meta-learning: ARIMA still wins! CoRR Vedant Shah, Gautam Shroff
2021	J	`jnl`	Solving Visual Analogies Using Neural Algorithmic Reasoning. CoRR Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash
2021	J	`jnl`	Using Program Synthesis and Inductive Logic Programming to solve Bongard Problems. CoRR Atharv Sonwane, Sharad Chitlangia, Tirtharaj Dash, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan
2020	J	`jnl`	Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation. CoRR Diksha Garg, Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2020	J	`jnl`	CAMTA: Casual Attention Model for Multi-touch Attribution. CoRR Sachin Kumar, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
2020	—	`conf`	CAMTA: Causal Attention Model for Multi-touch Attribution. ICDM (Workshops) Sachin Kumar, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
2020	B	`conf`	Capsule Based Neural Network Architecture to perform completeness check for Patent Eligibility Process. IJCNN Saurabh Srivastava, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Vidya Vikas
2020	J	`jnl`	Constructing generative logical models for optimisation problems using domain knowledge. Mach. Learn. Ashwin Srinivasan, Lovekesh Vig, Gautam Shroff
2020	—	`conf`	CovidDiagnosis: Deep Diagnosis of COVID-19 Patients Using Chest X-Rays. TIA@MICCAI Kushagra Mahajan, Monika Sharma, Lovekesh Vig, Rishab Khincha, Soundarya Krishnan, Adithya Niranjan, Tirtharaj Dash, Ashwin Srinivasan, Gautam Shroff
2020	J	`jnl`	Graph Neural Networks for Leveraging Industrial Equipment Structure: An application to Remaining Useful Life Estimation. CoRR Jyoti Narwariya, Pankaj Malhotra, Vishnu TV, Lovekesh Vig, Gautam Shroff
2020	J	`jnl`	Handling Variable-Dimensional Time Series with Graph Neural Networks. CoRR Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2020	—	`conf`	Hi-CI: Deep Causal Inference in High Dimensions. CD@KDD Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
2020	J	`jnl`	Hi-CI: Deep Causal Inference in High Dimensions. CoRR Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
2020	—	`conf`	Improved Question Answering using Domain Prediction. Converse@KDD Himani Srivastava, Prerna Khurana, Saurabh Srivastava, Vaibhav Varshney, Lovekesh Vig, Puneet Agarwal, Gautam Shroff
2020	—	`conf`	Information Extraction from Document Images via FCA based Template Detection and Knowledge Graph Rule Induction. CVPR Workshops Mouli Rastogi, Syed Afshan Ali, Mrinal Rawat, Lovekesh Vig, Puneet Agarwal, Gautam Shroff, Ashwin Srinivasan
2020	—	`conf`	Meta-Learning for Few-Shot Time Series Classification. COMAD/CODS Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff, Vishnu TV
2020	B	`conf`	MultiMBNN: Matched and Balanced Causal Inference with Neural Networks. ESANN Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
2020	J	`jnl`	MultiMBNN: Matched and Balanced Causal Inference with Neural Networks. CoRR Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
2020	J	`jnl`	Privacy Guidelines for Contact Tracing Applications. CoRR Manish Shukla, Rajan MA, Sachin Lodha, Gautam Shroff, Ramesh Raskar
2020	A	`conf`	Recommending in changing times. RecSys Shruti Kunde, Mayank Mishra, Amey Pandit, Rekha Singhal, Manoj Karunakaran Nambiar, Gautam Shroff, Shashank Gupta
2020	J	`jnl`	Transfer Learning for Clinical Time Series Analysis Using Deep Neural Networks. J. Heal. Informatics Res. Priyanka Gupta, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff
2019	A	`conf`	A Reinforcement Learning Framework for Container Selection and Ship Load Sequencing in Ports. AAMAS Richa Verma, Sarmimala Saikia, Harshad Khadilkar, Puneet Agarwal, Gautam Shroff, Ashwin Srinivasan
2019	—	`conf`	CRESA: A Deep Learning Approach to Competing Risks, Recurrent Event Survival Analysis. PAKDD (2) Garima Gupta, Vishal Sunder, Ranjitha Prasad, Gautam Shroff
2019	J	`jnl`	Computing research at Tata Consultancy Services. Commun. ACM Gautam Shroff, K. Ananth Krishnan
2019	B	`conf`	ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification. IJCNN Kathan Kashiparekh, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2019	J	`jnl`	ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification. CoRR Kathan Kashiparekh, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2019	J	`jnl`	Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models. CoRR Vishnu TV, Diksha Garg, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2019	J	`jnl`	Fast Online "Next Best Offers" using Deep Learning. CoRR Rekha Singhal, Gautam Shroff, Mukund Kumar, Sharod Roy Choudhury, Sanket Kadarkar, Rupinder Virk, Siddharth Verma, Vartika Tewari
2019	—	`conf`	Fast Online 'Next Best Offers' using Deep Learning. COMAD/CODS Rekha Singhal, Gautam Shroff, Mukund Kumar, Sharod Roy Choudhury, Sanket Kadarkar, Rupinder Virk, Siddharth Verma, Vartika Tewari
2019	—	`conf`	From Monolingual to Multilingual FAQ Assistant using Multilingual Co-training. DeepLo@EMNLP-IJCNLP Mayur Patidar, Surabhi Kumari, Manasi Patwardhan, Shirish Karande, Puneet Agarwal, Lovekesh Vig, Gautam Shroff
2019	B	`conf`	Fusing Features based on Signal Properties and TimeNet for Time Series Classification. ESANN Arijit Ukil, Pankaj Malhotra, Soma Bandyopadhyay, Tulika Bose, Ishan Sahu, Ayan Mukherjee, Lovekesh Vig, Arpan Pal, Gautam Shroff
2019	B	`conf`	Hierarchical Capsule Based Neural Network Architecture for Sequence Labeling. IJCNN Saurabh Srivastava, Puneet Agarwal, Gautam Shroff, Lovekesh Vig
2019	—	`conf`	Meta-Learning for Black-Box Optimization. ECML/PKDD (2) Vishnu TV, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff
2019	J	`jnl`	Meta-Learning for Black-box Optimization. CoRR Vishnu TV, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff
2019	J	`jnl`	Meta-Learning for Few-Shot Time Series Classification. CoRR Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff, Vishnu TV
2019	J	`jnl`	MetaCI: Meta-Learning for Causal Inference in a Heterogeneous Population. CoRR Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
2019	J	`jnl`	NISER: Normalized Item and Session Representations with Graph Neural Networks. CoRR Priyanka Gupta, Diksha Garg, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2019	—	`conf`	Natural Language Business Intelligence Question Answering Through SeqtoSeq Transfer Learning. PAKDD (Workshops) Amit Sangroya, Pratik Saini, Mrinal Rawat, Gautam Shroff, C. Anantaram
2019	—	`conf`	One-shot Information Extraction from Document Images using Neuro-Deductive Program Synthesis. NeSy@IJCAI Vishal Sunder, Ashwin Srinivasan, Lovekesh Vig, Gautam Shroff, Rohit Rahul
2019	J	`jnl`	One-shot Information Extraction from Document Images using Neuro-Deductive Program Synthesis. CoRR Vishal Sunder, Ashwin Srinivasan, Lovekesh Vig, Gautam Shroff, Rohit Rahul
2019	A*	`conf`	Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters. AAAI Kaushal Paneri, Vishnu TV, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2019	—	`conf`	Retrieving Relationships from a Knowledge Graph for Question Answering. ECIR (1) Puneet Agarwal, Maya Ramanath, Gautam Shroff
2019	A*	`conf`	Sequence and Time Aware Neighborhood for Session-based Recommendations: STAN. SIGIR Diksha Garg, Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2019	J	`jnl`	Transfer Learning for Clinical Time Series Analysis using Deep Neural Networks. CoRR Priyanka Gupta, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff
2018	A	`conf`	Automatic Conversational Helpdesk Solution using Seq2Seq and Slot-filling Models. CIKM Mayur Patidar, Puneet Agarwal, Lovekesh Vig, Gautam Shroff
2018	—	`conf`	Comparative benchmarking of causal discovery algorithms. COMAD/CODS Karamjit Singh, Garima Gupta, Vartika Tewari, Gautam Shroff
2018	—	`conf`	Deep Reader: Information Extraction from Document Images via Relation Extraction and Natural Language. ACCV Workshops Vishwanath D, Rohit Rahul, Gunjan Sehgal, Swati, Arindam Chowdhury, Monika Sharma, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan
2018	J	`jnl`	Deep Reader: Information extraction from Document images via relation extraction and Natural Language. CoRR Vishwanath D, Rohit Rahul, Gunjan Sehgal, Swati, Arindam Chowdhury, Monika Sharma, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan
2018	B	`conf`	Evolutionary RL for Container Loading. ESANN Sarmimala Saikia, Richa Verma, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan
2018	J	`jnl`	Evolutionary RL for Container Loading. CoRR Sarmimala Saikia, Richa Verma, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan
2018	A*	`conf`	KNADIA: Enterprise KNowledge Assisted DIAlogue Systems Using Deep Learning. ICDE Mahesh P. Singh, Puneet Agarwal, Ashish Chaudhary, Gautam Shroff, Prerna Khurana, Mayur Patidar, Vivek Bisht, Rachit Bansal, Prateek Sachan, Rohit Kumar
2018	—	`conf`	MEETING BOT: Reinforcement Learning for Dialogue Based Meeting Scheduling. AAAI Workshops Vishwanath D, Lovekesh Vig, Gautam Shroff, Puneet Agarwal
2018	J	`jnl`	MEETING BOT: Reinforcement Learning for Dialogue Based Meeting Scheduling. CoRR Vishwanath D, Lovekesh Vig, Gautam Shroff, Puneet Agarwal
2018	A*	`conf`	MobiCom'18 Panel: Hammer & Nail vis-a-vis AI / ML Applications to Networked Systems. MobiCom Pravin Bhagwat, Andrea Goldsmith, Manish Gupta, Rajeev Rastogi, Gautam Shroff
2018	—	`conf`	Online anomaly detection with concept drift adaptation using recurrent neural networks. COMAD/CODS Sakti Saurav, Pankaj Malhotra, Vishnu TV, Narendhar Gugulothu, Lovekesh Vig, Puneet Agarwal, Gautam Shroff
2018	J	`jnl`	Prosocial or Selfish? Agents with different behaviors for Contract Negotiation using Reinforcement Learning. CoRR Vishal Sunder, Lovekesh Vig, Arnab Chatterjee, Gautam Shroff
2018	A*	`conf`	Resolving Abstract Anaphora Implicitly in Conversational Assistants using a Hierarchically stacked RNN. KDD Prerna Khurana, Puneet Agarwal, Gautam Shroff, Lovekesh Vig
2018	J	`jnl`	Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks. CoRR Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2018	—	`conf`	Using Features From Pre-trained TimeNET For Clinical Predictions. KDH@IJCAI Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2018	—	`conf`	Visual Predictive Analytics using iFuseML. EuroVA@EuroVis Gunjan Sehgal, Mrinal Rawat, Bindu Gupta, Garima Gupta, Geetika Sharma, Gautam Shroff
2017	J	`jnl`	A complex network analysis of ethnic conflicts and human rights violations. CoRR Kiran Sharma, Gunjan Sehgal, Bindu Gupta, Geetika Sharma, Arnab Chatterjee, Anirban Chakraborti, Gautam Shroff
2017	—	`conf`	Automated Product-Attribute Mapping. PAKDD (Workshops) Karamjit Singh, Garima Gupta, Gautam Shroff, Puneet Agarwal
2017	J	`jnl`	Comparative Benchmarking of Causal Discovery Techniques. CoRR Karamjit Singh, Garima Gupta, Vartika Tewari, Gautam Shroff
2017	J	`jnl`	Crop Planning using Stochastic Visual Optimization. CoRR Gunjan Sehgal, Bindu Gupta, Kaushal Paneri, Karamjit Singh, Geetika Sharma, Gautam Shroff
2017	J	`jnl`	Deep Convolutional Neural Networks for Pairwise Causality. CoRR Karamjit Singh, Garima Gupta, Lovekesh Vig, Gautam Shroff, Puneet Agarwal
2017	A	`conf`	Hybrid BiLSTM-Siamese network for FAQ Assistance. CIKM Prerna Khurana, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan
2017	—	`conf`	Information Bottleneck Inspired Method For Chat Text Segmentation. IJCNLP(1) Sunder Vishal, Mohit Yadav, Lovekesh Vig, Gautam Shroff
2017	—	`conf`	Learning and Knowledge Transfer with Memory Networks for Machine Comprehension. EACL (1) Mohit Yadav, Lovekesh Vig, Gautam Shroff
2017	J	`jnl`	Minimally-Supervised Attribute Fusion for Data Lakes. CoRR Karamjit Singh, Garima Gupta, Gautam Shroff, Puneet Agarwal
2017	J	`jnl`	Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks. CoRR Narendhar Gugulothu, Vishnu TV, Pankaj Malhotra, Lovekesh Vig, Puneet Agarwal, Gautam Shroff
2017	B	`conf`	TimeNet: Pre-trained deep recurrent neural network for time series classification. ESANN Pankaj Malhotra, Vishnu TV, Lovekesh Vig, Puneet Agarwal, Gautam Shroff
2017	J	`jnl`	TimeNet: Pre-trained deep recurrent neural network for time series classification. CoRR Pankaj Malhotra, Vishnu TV, Lovekesh Vig, Puneet Agarwal, Gautam Shroff
2017	—	`conf`	Visual Statistical Analysis of Environmental Sensor Data. VAST Bindu Gupta, Kaushal Paneri, Gunjan Sehgal, Karamjit Singh, Geetika Sharma, Gautam Shroff
2016	—	`conf`	Activity Detection from Email Meta-Data Clustering. ICDM Workshops Mayur Patidar, Shaurya Rohatgi, Ashish Chaudhary, Mahesh P. Singh, Puneet Agarwal, Gautam Shroff
2016	—	`conf`	An AR Inspection Framework: Feasibility Study with Multiple AR Devices. ISMAR Adjunct Ramakrishna Perla, Ehtesham Hassan, Ramya Hebbalaguppe, Monika Sharma, Gaurav Gupta, Lovekesh Vig, Geetika Sharma, Gautam Shroff
2016	B	`conf`	Generation of Near-Optimal Solutions Using ILP-Guided Sampling. ILP Ashwin Srinivasan, Gautam Shroff, Lovekesh Vig, Sarmimala Saikia
2016	J	`jnl`	Generation of Near-Optimal Solutions Using ILP-Guided Sampling. CoRR Ashwin Srinivasan, Gautam Shroff, Lovekesh Vig, Sarmimala Saikia, Puneet Agarwal
2016	B	`conf`	Generic Framework to Predict Repeat Behavior of Customers Using Their Transaction History. WI Auon Haidar Kazmi, Gautam Shroff, Puneet Agarwal
2016	J	`jnl`	LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection. CoRR Pankaj Malhotra, Anusha Ramakrishnan, Gaurangi Anand, Lovekesh Vig, Puneet Agarwal, Gautam Shroff
2016	J	`jnl`	Multi-Sensor Prognostics using an Unsupervised Health Index based on LSTM Encoder-Decoder. CoRR Pankaj Malhotra, Vishnu TV, Anusha Ramakrishnan, Gaurangi Anand, Lovekesh Vig, Puneet Agarwal, Gautam Shroff
2016	—	`conf`	Neuro-Symbolic EDA-Based Optimization Using ILP-Enhanced DBNs. CoCo@NIPS Sarmimala Saikia, Lovekesh Vig, Ashwin Srinivasan, Gautam Shroff, Puneet Agarwal, Richa Rawat
2016	J	`jnl`	Neuro-symbolic EDA-based Optimisation using ILP-enhanced DBNs. CoRR Sarmimala Saikia, Lovekesh Vig, Ashwin Srinivasan, Gautam Shroff, Puneet Agarwal, Richa Rawat
2016	J	`jnl`	ODE - Augmented Training Improves Anomaly Detection in Sensor Data from Machines. CoRR Mohit Yadav, Pankaj Malhotra, Lovekesh Vig, K. Sriram, Gautam Shroff
2016	J	`jnl`	Relationship Queries on Large graphs using Pregel. CoRR Puneet Agarwal, Maya Ramanath, Gautam Shroff
2016	C	`conf`	Visual Bayesian fusion to navigate a data lake. FUSION Karamjit Singh, Kaushal Paneri, Aditeya Pandey, Garima Gupta, Geetika Sharma, Puneet Agarwal, Gautam Shroff
2015	C	`conf`	Business data fusion. FUSION Surya Yadav, Gautam Shroff, Ehtesham Hassan, Puneet Agarwal
2015	—	`conf`	Distributed Algorithm for Relationship Queries on Large Graphs. LSDS-IR@CIKM Puneet Agarwal, Maya Ramanath, Gautam Shroff
2015	J	`jnl`	Efficiently Discovering Frequent Motifs in Large-scale Sensor Data. CoRR Puneet Agarwal, Gautam Shroff, Sarmimala Saikia, Zaigham Khan
2015	—	`conf`	Efficiently discovering frequent motifs in large-scale sensor data. CODS Puneet Agarwal, Gautam Shroff, Sarmimala Saikia, Zaigham Khan
2015	—	`conf`	Group-Based Pricing to Shape Demand in Real-Time Electricity Markets. EUMAS/AT Rahul Agrawal, Anirban Chakraborti, Karamjit Singh, Gautam Shroff, Venkatesh Sarangan
2015	B	`conf`	Long Short Term Memory Networks for Anomaly Detection in Time Series. ESANN Pankaj Malhotra, Lovekesh Vig, Gautam Shroff, Puneet Agarwal
2015	—	`conf`	Multi-sensor Visual Analytics Supported by Machine-Learning Models. ICDM Workshops Geetika Sharma, Gautam Shroff, Aditeya Pandey, Brijendra Singh, Gunjan Sehgal, Kaushal Paneri, Puneet Agarwal
2015	—	`conf`	Multi-sensor event detection using shape histograms. CODS Ehtesham Hassan, Gautam Shroff, Puneet Agarwal
2015	B	`conf`	Predictive reliability mining for early warnings in populations of connected machines. DSAA Karamjit Singh, Gautam Shroff, Puneet Agarwal
2015	B	`conf`	Succinctly summarizing machine usage via multi-subspace clustering of multi-sensor data. DSAA Sarmimala Saikia, Gautam Shroff, Puneet Agarwal, Ashwin Srinivasan
2014	—	`conf`	Enterprise Contextual Intelligence. WI-IAT (1) Gautam Shroff, Lipika Dey, Hiranmay Ghosh
2014	Misc	`conf`	Exploratory Data Analysis Using Alternating Covers of Rules and Exceptions. COMAD Sarmimala Saikia, Gautam Shroff, Puneet Agarwal, Ashwin Srinivasan, Aditeya Pandey, Gaurangi Anand
2014	—	`conf`	Graph-Parallel Entity Resolution using LSH & IMM. EDBT/ICDT Workshops Pankaj Malhotra, Puneet Agarwal, Gautam Shroff
2014	J	`jnl`	Incremental Entity Resolution from Linked Documents. CoRR Pankaj Malhotra, Puneet Agarwal, Gautam Shroff
2014	C	`conf`	Incremental entity fusion from linked documents. FUSION Pankaj Malhotra, Puneet Agarwal, Gautam Shroff
2014	—	`conf`	Interactively Visualizing Summaries of Rules and Exceptions. EuroVA@EuroVis Geetika Sharma, Gautam Shroff, Aditeya Pandey, Puneet Agarwal, Ashwin Srinivasan
2014	J	`jnl`	Multi-Sensor Event Detection using Shape Histograms. CoRR Ehtesham Hassan, Gautam Shroff, Puneet Agarwal
2014	C	`conf`	Prescriptive information fusion. FUSION Gautam Shroff, Puneet Agarwal, Karamjit Singh, Auon Haidar Kazmi, Sapan Shah, Avadhut Sardeshmukh
2014	J	`jnl`	Warranty Cost Estimation Using Bayesian Network. CoRR Karamjit Singh, Puneet Agarwal, Gautam Shroff
2013	—	`ed.`	6th India Software Engineering Conference, ISEC '13, New Delhi, India - February 21 - 23, 2013 ISEC Sugata Ghosal, Gautam Shroff, Satish Chandra, Nachiappan Nagappan
2013	—	`conf`	Approximate Incremental Big-Data Harmonization. BigData Congress Puneet Agarwal, Gautam Shroff, Pankaj Malhotra
2013	—	`conf`	Email Analytics for Activity Management and Insight Discovery. Web Intelligence Lipika Dey, Sameera Bharadwaja H., G. Meera, Gautam Shroff
2012	A	`conf`	Catching the Long-Tail: Extracting Local News Events from Twitter. ICWSM Puneet Agarwal, Rajgopal Vaithiyanathan, Saurabh Sharma, Gautam Shroff
2011	C	`conf`	A blackboard architecture for data-intensive information fusion using locality-sensitive hashing. FUSION Gautam Shroff, Saurabh Sharma, Puneet Agarwal, Shefali Bhat
2011	C	`conf`	Enterprise information fusion for real-time business intelligence. FUSION Gautam Shroff, Puneet Agarwal, Lipika Dey
2011	—	`ed.`	Proceeding of the 4th Annual India Software Engineering Conference, ISEC 2011, Thiruvananthapuram, Kerala, India, February 24-27, 2011 ISEC Arun Bahulkar, K. Kesavasamy, T. V. Prabhakar, Gautam Shroff
2010	Misc	`conf`	Mixed-focus collaboration without compromising individual or group work. EICS Prasun Dewan, Puneet Agarwal, Gautam Shroff, Rajesh Hegde
2009	B	`conf`	Distributed side-by-side programming. CHASE Prasun Dewan, Puneet Agarwal, Gautam Shroff, Rajesh Hegde
2009	C	`conf`	Experiments in distributed side-by-side software development. CollaborateCom Prasun Dewan, Puneet Agarwal, Gautam Shroff, Rajesh Hegde
2009	—	`conf`	Instant multi-tier web applications without tears. ISEC Gautam Shroff, Puneet Agarwal, Premkumar T. Devanbu
2009	—	`conf`	InstantApps: A WYSIWYG model driven interpreter for web applications. ICSE Companion Gautam Shroff, Puneet Agarwal, Premkumar T. Devanbu
2008	—	`conf`	Dev 2.0: model driven development in the cloud. SIGSOFT FSE Gautam Shroff
2008	—	`ed.`	Proceeding of the 1st Annual India Software Engineering Conference, ISEC 2008, Hyderabad, India, February 19-22, 2008 ISEC Gautam Shroff, Pankaj Jalote, Sriram K. Rajamani
2006	C	`conf`	An Empirical Study of Factors and their Relationships in Outsourced Software Maintenance. APSEC Pankaj Bhatt, Gautam Shroff, K. Williams, Arun Kumar Misra
2006	J	`jnl`	An influence model for factors in outsourced software maintenance. J. Softw. Maintenance Res. Pract. Pankaj Bhatt, Gautam Shroff, C. Anantaram, Arun Kumar Misra
2006	J	`jnl`	Influencing factors in outsourced software maintenance. ACM SIGSOFT Softw. Eng. Notes Pankaj Bhatt, Williams K, Gautam Shroff, Arun Kumar Misra
2005	C	`conf`	Collaborative development of business applications. CollaborateCom Gautam Shroff, Anish Mehta, Puneet Agarwal, Rajesh Sinha
2005	—	`conf`	JfelX: A Dynamic Model Driven Architecture. Software Engineering Research and Practice Abhiram Gandhe, Puneet Agarwal, Gautam Shroff
2004	J	`jnl`	Dynamics of software maintenance. ACM SIGSOFT Softw. Eng. Notes Pankaj Bhatt, Gautam Shroff, Arun Kumar Misra