Pankaj Malhotra

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 34

Top Topics

Transfer Learning

Multivariate Time Series

Top Venues

Publications

Siddhant Kharbanda, Devaansh Gupta, Gururaj K, Pankaj Malhotra, Cho-Jui Hsieh, Rohit Babbar
UniDEC : Unified Dual Encoder and Classifier Training for Extreme Multi-Label Classification. CoRR (2024)
Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions. CoRR (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)
Jyoti Narwariya, Chetan Verma, Pankaj Malhotra, Lovekesh Vig, Easwara Subramanian, Sanjay Bhat
Electricity Consumption Forecasting for Out-of-distribution Time-of-Use Tariffs. CoRR (2022)
Asha Rajbhoj, Prateek Dhawan, Vishnu TV, Pankaj Malhotra, Vinay Kulkarni
Re-Imagining data analytics software development. ISEC (2021)
Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh A. P.
Systematic Generalization for Predictive Control in Multivariate Time Series. CoRR (2021)
Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh AP
Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models. IJCNN (2021)
Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions. ICDM (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)
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)
Priyanka Gupta, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff
Transfer Learning for Clinical Time Series Analysis using Deep Neural Networks. 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)
Priyanka Gupta, Diksha Garg, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
NISER: Normalized Item and Session Representations with Graph Neural Networks. CoRR (2019)
Vishnu TV, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff
Meta-Learning for Black-Box Optimization. ECML/PKDD (2) (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)
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)
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)
Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
Using Features From Pre-trained TimeNET For Clinical Predictions. KHD@IJCAI (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)
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)
Pankaj Malhotra, Vishnu TV, Lovekesh Vig, Puneet Agarwal, Gautam Shroff
TimeNet: Pre-trained deep recurrent neural network for time series classification. ESANN (2017)
Pankaj Malhotra, Vishnu TV, Anusha Ramakrishnan, Gaurangi Anand, Lovekesh Vig, Puneet Agarwal, Gautam Shroff
Multi-Sensor Prognostics using an Unsupervised Health Index based on LSTM Encoder-Decoder. CoRR (2016)
Pankaj Malhotra, Anusha Ramakrishnan, Gaurangi Anand, Lovekesh Vig, Puneet Agarwal, Gautam Shroff
LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection. CoRR (2016)
Mohit Yadav, Pankaj Malhotra, Lovekesh Vig, K. Sriram, Gautam Shroff
ODE - Augmented Training Improves Anomaly Detection in Sensor Data from Machines. CoRR (2016)
Pankaj Malhotra, Lovekesh Vig, Gautam Shroff, Puneet Agarwal
Long Short Term Memory Networks for Anomaly Detection in Time Series. ESANN (2015)
Pankaj Malhotra, Puneet Agarwal, Gautam Shroff
Graph-Parallel Entity Resolution using LSH & IMM. EDBT/ICDT Workshops (2014)
Pankaj Malhotra, Puneet Agarwal, Gautam Shroff
Incremental Entity Resolution from Linked Documents. CoRR (2014)
Pankaj Malhotra, Puneet Agarwal, Gautam Shroff
Incremental entity fusion from linked documents. FUSION (2014)
Puneet Agarwal, Gautam Shroff, Pankaj Malhotra
Approximate Incremental Big-Data Harmonization. BigData Congress (2013)
Priyank Jindal, Pankaj Malhotra, V. Rihani, Sahil Rihani, Parkhi Sharma, Bhupendra Singh Chhabra
A Neural Network For Prognosis of Chronic Myeloid Leukemia. IC-AI (2008)