Pankaj Malhotra

发表

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

Hritik Bansal, Gantavya Bhatt, Prathosh Ap, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models pdf

Diksha Garg, Lovekesh Vig, Gautam Shroff, 2019, International Journal of Prognostics and Health Management.

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

Lovekesh Vig, Gautam Shroff, Puneet Agarwal, 2016, ArXiv.

Long Short Term Memory Networks for Anomaly Detection in Time Series

Lovekesh Vig, Gautam Shroff, Puneet Agarwal, 2015, ESANN.

Meta-Learning for Black-box Optimization

Lovekesh Vig, Gautam Shroff, Pankaj Malhotra, 2019, ECML/PKDD.

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

Priyanka Gupta, Lovekesh Vig, Gautam Shroff, 2018, ArXiv.

Multi-Sensor Prognostics using an Unsupervised Health Index based on LSTM Encoder-Decoder pdf

Lovekesh Vig, Gautam Shroff, Puneet Agarwal, 2016, ArXiv.

Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks pdf

Lovekesh Vig, Gautam Shroff, Puneet Agarwal, 2017, International Journal of Prognostics and Health Management.

NISER: Normalized Item and Session Representations to Handle Popularity Bias.

Priyanka Gupta, L. Vig, Gautam M. Shroff, 2019 .

Sparse Neural Networks for Anomaly Detection in High-Dimensional Time Series

Lovekesh Vig, Gautam Shroff, Pankaj Malhotra, 2018 .

ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification

Lovekesh Vig, Gautam Shroff, Pankaj Malhotra, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

TimeNet: Pre-trained deep recurrent neural network for time series classification pdf

Lovekesh Vig, Gautam Shroff, Puneet Agarwal, 2017, ESANN.

Meta-Learning for Few-Shot Time Series Classification

L. Vig, Gautam M. Shroff, T. Vishnu, 2019, COMAD/CODS.

Learning to Liquidate Forex: Optimal Stopping via Adaptive Top-K Regression

L. Vig, Gautam M. Shroff, Anil Bhatia, 2022, ArXiv.

Online anomaly detection with concept drift adaptation using recurrent neural networks

Lovekesh Vig, Gautam Shroff, Puneet Agarwal, 2018, COMAD/CODS.

Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation pdf

Priyanka Gupta, L. Vig, Gautam M. Shroff, 2020, ArXiv.

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

E. Subramanian, L. Vig, Sanjay Bhat, 2022, AAAI Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD).

Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions

L. Vig, Gautam M. Shroff, Vibhor Gupta, 2021, 2021 IEEE International Conference on Data Mining (ICDM).

On Practical Aspects of Using RNNs for Fault Detection in Sparsely-labeled Multi-sensor Time Series

Lovekesh Vig, Puneet Agarwal, Pankaj Malhotra, 2018, Annual Conference of the PHM Society.

Transfer Learning for Clinical Time Series Analysis Using Deep Neural Networks

Priyanka Gupta, Lovekesh Vig, Gautam Shroff, 2019, Journal of Healthcare Informatics Research.

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

Lovekesh Vig, Mohit Yadav, Gautam Shroff, 2016, ArXiv.

Sequence and Time Aware Neighborhood for Session-based Recommendations: STAN

Diksha Garg, Priyanka Gupta, Lovekesh Vig, 2019, SIGIR.

NISER: Normalized Item and Session Representations with Graph Neural Networks pdf

Diksha Garg, Priyanka Gupta, Lovekesh Vig, 2019, ArXiv.

Incremental Entity Resolution from Linked Documents pdf

Gautam Shroff, Puneet Agarwal, Pankaj Malhotra, 2014, ArXiv.

Using Features From Pre-trained TimeNET For Clinical Predictions

Priyanka Gupta, Lovekesh Vig, Gautam Shroff, 2018, KDH@IJCAI.

Handling Variable-Dimensional Time Series with Graph Neural Networks

L. Vig, Gautam M. Shroff, Vibhor Gupta, 2020, ArXiv.

CauSeR: Causal Session-based Recommendations for Handling Popularity Bias

Lovekesh Vig, Gautam Shroff, Pankaj Malhotra, 2021, CIKM.

NISER: Normalized Item and Session Representations to Handle Popularity Bias.

Diksha Garg, Priyanka Gupta, Pankaj Malhotra, 2019 .

Meta-Learning for Few-Shot Time Series Classification

Lovekesh Vig, Gautam Shroff, Pankaj Malhotra, 2019, COMAD/CODS.

Fusing Features based on Signal Properties and TimeNet for Time Series Classification

Pankaj Malhotra, Lovekesh Vig, Tulika Bose, 2019, ESANN.