1 citations · 1 across the 4 of their papers we have counts for
4 papers
Deep State-Space Model for Predicting Cryptocurrency Price
Shalini Sharma, Angshul Majumdar, Emilie Chouzenoux +1
Our work presents two fundamental contributions. On the application side, we tackle the challenging problem of predicting day-ahead crypto-currency prices. On the methodological si…
SuperDeConFuse: A Supervised Deep Convolutional Transform based Fusion Framework for Financial Trading Systems
Pooja Gupta, Angshul Majumdar, Emilie Chouzenoux +1
This work proposes a supervised multi-channel time-series learning framework for financial stock trading. Although many deep learning models have recently been proposed in this dom…
How to Train Your Deep Neural Network with Dictionary Learning
Vanika Singhal, Shikha Singh, Angshul Majumdar
Currently there are two predominant ways to train deep neural networks. The first one uses restricted Boltzmann machine (RBM) and the second one autoencoders. RBMs are stacked in l…
Deep Blind Compressed Sensing
Shikha Singh, Vanika Singhal, Angshul Majumdar
This work addresses the problem of extracting deeply learned features directly from compressive measurements. There has been no work in this area. Existing deep learning tools only…