Gautam Shroff

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 113

Top Venues

Publications

Harshit Nigam, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff
Acceleron: A Tool to Accelerate Research Ideation. CoRR (2024)
Arushi Jain, Shubham Paliwal, Monika Sharma, Lovekesh Vig, Gautam Shroff
SmartFlow: Robotic Process Automation using LLMs. CoRR (2024)
Muskan Gupta, Priyanka Gupta, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff
SCM4SR: Structural Causal Model-based Data Augmentation for Robust Session-based Recommendation. SIGIR (2024)
Rishabh Patra, Ramya Hebbalaguppe, Tirtharaj Dash, Gautam Shroff, Lovekesh Vig
Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning. WACV (2023)
Omkar Nabar, Gautam Shroff
Conservative Predictions on Noisy Financial Data. CoRR (2023)
Shabbirhussain Bhaisaheb, Shubham Paliwal, Rajaswa Patil, Manasi S. Patwardhan, Lovekesh Vig, Gautam Shroff
Program Synthesis for Complex QA on Charts via Probabilistic Grammar Based Filtered Iterative Back-Translation. EACL (Findings) (2023)
S. I Harini, Gautam Shroff, Ashwin Srinivasan, Prayushi Faldu, Lovekesh Vig
Neuro-symbolic Meta Reinforcement Learning for Trading. CoRR (2023)
Omkar Nabar, Gautam Shroff
Conservative Predictions on Noisy Financial Data. ICAIF (2023)
Shrey Pandit, Gautam Shroff, Ashwin Srinivasan, Lovekesh Vig
Can LLMs solve generative visual analogies? IARML@IJCAI (2023)
Jyoti Narwariya, Priyanka Gupta, Garima Gupta, Lovekesh Vig, Gautam Shroff
X4SR: Post-Hoc Explanations for Session-based Recommendations. eCom@SIGIR (2023)
Aseem Arora, Shabbirhussain Bhaisaheb, Harshit Nigam, Manasi S. Patwardhan, Lovekesh Vig, Gautam Shroff
Adapt and Decompose: Efficient Generalization of Text-to-SQL via Domain Adapted Least-To-Most Prompting. CoRR (2023)
Rajat Kumar, Mayur Patidar, Vaibhav Varshney, Lovekesh Vig, Gautam Shroff
Intent Detection and Discovery from User Logs via Deep Semi-Supervised Contrastive Clustering. NAACL-HLT (2022)
Vishwa Shah, Aditya Sharma, Gautam Shroff, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan
Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces. CoRR (2022)
Atharv Sonwane, Abhinav Lalwani, Sweta Mahajan, Gautam Shroff, Lovekesh Vig
Neural Analogical Reasoning. NeSy (2022)
Ramya Hebbalaguppe, Rishabh Patra, Tirtharaj Dash, Gautam Shroff, Lovekesh Vig
Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning. CoRR (2022)
Vaibhav Varshney, Mayur Patidar, Rajat Kumar, Lovekesh Vig, Gautam Shroff
Prompt Augmented Generative Replay via Supervised Contrastive Learning for Lifelong Intent Detection. NAACL-HLT (Findings) (2022)
Rajaswa Patil, Manasi Patwardhan, Shirish Karande, Lovekesh Vig, Gautam Shroff
Exploring Dimensions of Generalizability and Few-shot Transfer for Text-to-SQL Semantic Parsing. TL4NLP (2022)
Vedant Shah, Aditya Agrawal, Lovekesh Vig, Ashwin Srinivasan, Gautam Shroff, Tanmay T. Verlekar
Neural Feature-Adaptation for Symbolic Predictions Using Pre-Training and Semantic Loss. CoRR (2022)
Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions. CoRR (2022)
Aditya Challa, Ashwin Srinivasan, Michael Bain, Gautam Shroff
A Program-Synthesis Challenge for ARC-Like Tasks. ILP (2022)
Vishwa Shah, Aditya Sharma, Gautam Shroff, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan
Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces. NeSy (2022)
Diksha Garg, Pankaj Malhotra, Anil Bhatia, Sanjay Bhat, Lovekesh Vig, Gautam Shroff
Learning to Liquidate Forex: Optimal Stopping via Adaptive Top-K Regression. CoRR (2022)
Garima Gupta, Lovekesh Vig, Gautam Shroff
DRTCI: Learning Disentangled Representations for Temporal Causal Inference. CoRR (2022)
Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash
Solving Visual Analogies Using Neural Algorithmic Reasoning (Student Abstract). AAAI (2022)
Vedant Shah, Gautam Shroff
Forecasting Market Prices using DL with Data Augmentation and Meta-learning: ARIMA still wins! CoRR (2021)
Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash
Solving Visual Analogies Using Neural Algorithmic Reasoning. CoRR (2021)
Manasi Malik, Garima Gupta, Lovekesh Vig, Gautam Shroff
BCQ4DCA: Budget Constrained Deep Q-Network for Dynamic Campaign Allocation in Computational Advertising. IJCNN (2021)
Atharv Sonwane, Sharad Chitlangia, Tirtharaj Dash, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan
Using Program Synthesis and Inductive Logic Programming to solve Bongard Problems. CoRR (2021)
Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions. ICDM (2021)
Saurabh Srivastava, Mayur Patidar, Sudip Chowdhury, Puneet Agarwal, Indrajit Bhattacharya, Gautam Shroff
Complex Question Answering on knowledge graphs using machine translation and multi-task learning. EACL (2021)
Priyanka Gupta, Ankit Sharma, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
CauSeR: Causal Session-based Recommendations for Handling Popularity Bias. CIKM (2021)
Priyanka Gupta, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff
Transfer Learning for Clinical Time Series Analysis Using Deep Neural Networks. J. Heal. Informatics Res. 4 (2) (2020)
Diksha Garg, Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation. CoRR (2020)
Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff, Vishnu TV
Meta-Learning for Few-Shot Time Series Classification. COMAD/CODS (2020)
Saurabh Srivastava, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Vidya Vikas
Capsule Based Neural Network Architecture to perform completeness check for Patent Eligibility Process. IJCNN (2020)
Himani Srivastava, Prerna Khurana, Saurabh Srivastava, Vaibhav Varshney, Lovekesh Vig, Puneet Agarwal, Gautam Shroff
Improved Question Answering using Domain Prediction. Converse@KDD (2020)
Jyoti Narwariya, Pankaj Malhotra, Vishnu TV, Lovekesh Vig, Gautam Shroff
Graph Neural Networks for Leveraging Industrial Equipment Structure: An application to Remaining Useful Life Estimation. CoRR (2020)
Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
Handling Variable-Dimensional Time Series with Graph Neural Networks. CoRR (2020)
Ashwin Srinivasan, Lovekesh Vig, Gautam Shroff
Constructing generative logical models for optimisation problems using domain knowledge. Mach. Learn. 109 (7) (2020)
Mouli Rastogi, Syed Afshan Ali, Mrinal Rawat, Lovekesh Vig, Puneet Agarwal, Gautam Shroff, Ashwin Srinivasan
Information Extraction from Document Images via FCA based Template Detection and Knowledge Graph Rule Induction. CVPR Workshops (2020)
Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
Hi-CI: Deep Causal Inference in High Dimensions. CoRR (2020)
Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
MultiMBNN: Matched and Balanced Causal Inference with Neural Networks. CoRR (2020)
Shruti Kunde, Mayank Mishra, Amey Pandit, Rekha Singhal, Manoj Karunakaran Nambiar, Gautam Shroff, Shashank Gupta
Recommending in changing times. RecSys (2020)
Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
Hi-CI: Deep Causal Inference in High Dimensions. CD@KDD (2020)
Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
MultiMBNN: Matched and Balanced Causal Inference with Neural Networks. ESANN (2020)
Kushagra Mahajan, Monika Sharma, Lovekesh Vig, Rishab Khincha, Soundarya Krishnan, Adithya Niranjan, Tirtharaj Dash, Ashwin Srinivasan, Gautam Shroff
CovidDiagnosis: Deep Diagnosis of COVID-19 Patients Using Chest X-Rays. TIA@MICCAI (2020)
Manish Shukla, Rajan M. A, Sachin Lodha, Gautam Shroff, Ramesh Raskar
Privacy Guidelines for Contact Tracing Applications. CoRR (2020)
Sachin Kumar, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
CAMTA: Casual Attention Model for Multi-touch Attribution. CoRR (2020)
Sachin Kumar, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
CAMTA: Causal Attention Model for Multi-touch Attribution. ICDM (Workshops) (2020)
Richa Verma, Sarmimala Saikia, Harshad Khadilkar, Puneet Agarwal, Gautam Shroff, Ashwin Srinivasan
A Reinforcement Learning Framework for Container Selection and Ship Load Sequencing in Ports. AAMAS (2019)
Priyanka Gupta, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff
Transfer Learning for Clinical Time Series Analysis using Deep Neural Networks. CoRR (2019)
Rekha Singhal, Gautam Shroff, Mukund Kumar, Sharod Roy Choudhury, Sanket Kadarkar, Rupinder Virk, Siddharth Verma, Vartika Tewari
Fast Online "Next Best Offers" using Deep Learning. CoRR (2019)
Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
MetaCI: Meta-Learning for Causal Inference in a Heterogeneous Population. CoRR (2019)
Vishnu TV, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff
Meta-Learning for Black-box Optimization. CoRR (2019)
Kathan Kashiparekh, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification. CoRR (2019)
Garima Gupta, Vishal Sunder, Ranjitha Prasad, Gautam Shroff
CRESA: A Deep Learning Approach to Competing Risks, Recurrent Event Survival Analysis. PAKDD (2) (2019)
Vishal Sunder, Ashwin Srinivasan, Lovekesh Vig, Gautam Shroff, Rohit Rahul
One-shot Information Extraction from Document Images using Neuro-Deductive Program Synthesis. NeSy@IJCAI (2019)
Priyanka Gupta, Diksha Garg, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
NISER: Normalized Item and Session Representations with Graph Neural Networks. CoRR (2019)
Rekha Singhal, Gautam Shroff, Mukund Kumar, Sharod Roy Choudhury, Sanket Kadarkar, Rupinder Virk, Siddharth Verma, Vartika Tewari
Fast Online 'Next Best Offers' using Deep Learning. COMAD/CODS (2019)
Vishnu TV, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff
Meta-Learning for Black-Box Optimization. ECML/PKDD (2) (2019)
Gautam Shroff, K. Ananth Krishnan
Computing research at Tata Consultancy Services. Commun. ACM 62 (11) (2019)
Arijit Ukil, Pankaj Malhotra, Soma Bandyopadhyay, Tulika Bose, Ishan Sahu, Ayan Mukherjee, Lovekesh Vig, Arpan Pal, Gautam Shroff
Fusing Features based on Signal Properties and TimeNet for Time Series Classification. ESANN (2019)
Kaushal Paneri, Vishnu TV, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters. AAAI (2019)
Saurabh Srivastava, Puneet Agarwal, Gautam Shroff, Lovekesh Vig
Hierarchical Capsule Based Neural Network Architecture for Sequence Labeling. IJCNN (2019)
Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff, Vishnu TV
Meta-Learning for Few-Shot Time Series Classification. CoRR (2019)
Diksha Garg, Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
Sequence and Time Aware Neighborhood for Session-based Recommendations: STAN. SIGIR (2019)
Vishal Sunder, Ashwin Srinivasan, Lovekesh Vig, Gautam Shroff, Rohit Rahul
One-shot Information Extraction from Document Images using Neuro-Deductive Program Synthesis. CoRR (2019)
Puneet Agarwal, Maya Ramanath, Gautam Shroff
Retrieving Relationships from a Knowledge Graph for Question Answering. ECIR (1) (2019)
Vishnu TV, Diksha Garg, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models. CoRR (2019)
Kathan Kashiparekh, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification. IJCNN (2019)
Mayur Patidar, Surabhi Kumari, Manasi S. Patwardhan, Shirish Subhash Karande, Puneet Agarwal, Lovekesh Vig, Gautam Shroff
From Monolingual to Multilingual FAQ Assistant using Multilingual Co-training. DeepLo@EMNLP-IJCNLP (2019)
Amit Sangroya, Pratik Saini, Mrinal Rawat, Gautam Shroff, C. Anantaram
Natural Language Business Intelligence Question Answering Through SeqtoSeq Transfer Learning. PAKDD (Workshops) (2019)
Vishwanath D, Lovekesh Vig, Gautam Shroff, Puneet Agarwal
MEETING BOT: Reinforcement Learning for Dialogue Based Meeting Scheduling. CoRR (2018)
Prerna Khurana, Puneet Agarwal, Gautam Shroff, Lovekesh Vig
Resolving Abstract Anaphora Implicitly in Conversational Assistants using a Hierarchically stacked RNN. KDD (2018)
Mahesh P. Singh, Puneet Agarwal, Ashish Chaudhary, Gautam Shroff, Prerna Khurana, Mayur Patidar, Vivek Bisht, Rachit Bansal, Prateek Sachan, Rohit Kumar
KNADIA: Enterprise KNowledge Assisted DIAlogue Systems Using Deep Learning. ICDE (2018)
Karamjit Singh, Garima Gupta, Vartika Tewari, Gautam Shroff
Comparative benchmarking of causal discovery algorithms. COMAD/CODS (2018)
Sarmimala Saikia, Richa Verma, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan
Evolutionary RL for Container Loading. CoRR (2018)
Vishal Sunder, Lovekesh Vig, Arnab Chatterjee, Gautam Shroff
Prosocial or Selfish? Agents with different behaviors for Contract Negotiation using Reinforcement Learning. CoRR (2018)
Mayur Patidar, Puneet Agarwal, Lovekesh Vig, Gautam Shroff
Automatic Conversational Helpdesk Solution using Seq2Seq and Slot-filling Models. CIKM (2018)
Gunjan Sehgal, Mrinal Rawat, Bindu Gupta, Garima Gupta, Geetika Sharma, Gautam Shroff
Visual Predictive Analytics using iFuseML. EuroVA@EuroVis (2018)
Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
Using Features From Pre-trained TimeNET For Clinical Predictions. KHD@IJCAI (2018)
Vishwanath D, Lovekesh Vig, Gautam Shroff, Puneet Agarwal
MEETING BOT: Reinforcement Learning for Dialogue Based Meeting Scheduling. AAAI Workshops (2018)
Vishwanath D, Rohit Rahul, Gunjan Sehgal, Swati, Arindam Chowdhury, Monika Sharma, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan
Deep Reader: Information extraction from Document images via relation extraction and Natural Language. CoRR (2018)
Sakti Saurav, Pankaj Malhotra, Vishnu TV, Narendhar Gugulothu, Lovekesh Vig, Puneet Agarwal, Gautam Shroff
Online anomaly detection with concept drift adaptation using recurrent neural networks. COMAD/CODS (2018)
Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks. CoRR (2018)
Pravin Bhagwat, Andrea Goldsmith, Manish Gupta, Rajeev Rastogi, Gautam Shroff
MobiCom'18 Panel: Hammer & Nail vis-a-vis AI / ML Applications to Networked Systems. MobiCom (2018)
Vishwanath D, Rohit Rahul, Gunjan Sehgal, Swati, Arindam Chowdhury, Monika Sharma, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan
Deep Reader: Information Extraction from Document Images via Relation Extraction and Natural Language. ACCV Workshops (2018)
Sarmimala Saikia, Richa Verma, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan
Evolutionary RL for Container Loading. ESANN (2018)
Karamjit Singh, Garima Gupta, Gautam Shroff, Puneet Agarwal
Automated Product-Attribute Mapping. PAKDD (Workshops) (2017)
Karamjit Singh, Garima Gupta, Gautam Shroff, Puneet Agarwal
Minimally-Supervised Attribute Fusion for Data Lakes. CoRR (2017)
Kiran Sharma, Gunjan Sehgal, Bindu Gupta, Geetika Sharma, Arnab Chatterjee, Anirban Chakraborti, Gautam Shroff
A complex network analysis of ethnic conflicts and human rights violations. CoRR (2017)
Gunjan Sehgal, Bindu Gupta, Kaushal Paneri, Karamjit Singh, Geetika Sharma, Gautam Shroff
Crop Planning using Stochastic Visual Optimization. CoRR (2017)
Narendhar Gugulothu, Vishnu TV, Pankaj Malhotra, Lovekesh Vig, Puneet Agarwal, Gautam Shroff
Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks. CoRR (2017)
Pankaj Malhotra, Vishnu TV, Lovekesh Vig, Puneet Agarwal, Gautam Shroff
TimeNet: Pre-trained deep recurrent neural network for time series classification. CoRR (2017)
Sunder Vishal, Mohit Yadav, Lovekesh Vig, Gautam Shroff
Information Bottleneck Inspired Method For Chat Text Segmentation. IJCNLP(1) (2017)
Karamjit Singh, Garima Gupta, Lovekesh Vig, Gautam Shroff, Puneet Agarwal
Deep Convolutional Neural Networks for Pairwise Causality. CoRR (2017)
Mohit Yadav, Lovekesh Vig, Gautam Shroff
Learning and Knowledge Transfer with Memory Networks for Machine Comprehension. EACL (1) (2017)
Prerna Khurana, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan
Hybrid BiLSTM-Siamese network for FAQ Assistance. CIKM (2017)
Pankaj Malhotra, Vishnu TV, Lovekesh Vig, Puneet Agarwal, Gautam Shroff
TimeNet: Pre-trained deep recurrent neural network for time series classification. ESANN (2017)
Karamjit Singh, Garima Gupta, Vartika Tewari, Gautam Shroff
Comparative Benchmarking of Causal Discovery Techniques. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Gautam Shroff