Pankaj Malhotra

According to our database, Pankaj Malhotra authored at least 33 papers between 2008 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Electricity Consumption Forecasting for Out-of-distribution Time-of-Use Tariffs.

Jyoti Narwariya, Chetan Verma, Pankaj Malhotra, Lovekesh Vig, Easwar Subramanian, Sanjay Bhat

CoRR, 2022

2021

Systematic Generalization for Predictive Control in Multivariate Time Series.

Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh A. P.

CoRR, 2021

Re-Imagining data analytics software development.

Asha Rajbhoj, Prateek Dhawan, Vishnu TV, Pankaj Malhotra, Vinay Kulkarni

Proceedings of the ISEC 2021: 14th Innovations in Software Engineering Conference, 2021

Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models.

Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh AP

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

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

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

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

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

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

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

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

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

Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks.

Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff

CoRR, 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

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

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

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

2016

ODE - Augmented Training Improves Anomaly Detection in Sensor Data from Machines.

Mohit Yadav, Pankaj Malhotra, Lovekesh Vig, K. Sriram, 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

LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.

Pankaj Malhotra, Anusha Ramakrishnan, Gaurangi Anand, Lovekesh Vig, Puneet Agarwal, Gautam Shroff

CoRR, 2016

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

2014

Incremental Entity Resolution from Linked Documents.

Pankaj Malhotra, Puneet Agarwal, Gautam Shroff

CoRR, 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

2013

Approximate Incremental Big-Data Harmonization.

Puneet Agarwal, Gautam Shroff, Pankaj Malhotra

Proceedings of the IEEE International Congress on Big Data, 2013

2008

A Neural Network For Prognosis of Chronic Myeloid Leukemia.

Priyank Jindal, Pankaj Malhotra, V. Rihani, Sahil Rihani, Parkhi Sharma, Bhupendra Singh Chhabra

Proceedings of the 2008 International Conference on Artificial Intelligence, 2008