5 citations · 15 across the 8 of their papers we have counts for
4 papers · 1 filter
Generalized Random Direction Newton Algorithms for Stochastic Optimization
Soumen Pachal, Prashanth L. A., Shalabh Bhatnagar +1
We present a family of generalized Hessian estimators of the objective using random direction stochastic approximation (RDSA) by utilizing only noisy function measurements. The for…
Public Transit Arrival Prediction: a Seq2Seq RNN Approach
Nancy Bhutani, Soumen Pachal, Avinash Achar
Arrival/Travel times for public transit exhibit variability on account of factors like seasonality, dwell times at bus stops, traffic signals, travel demand fluctuation etc. The de…
Sequence Prediction Under Missing Data : An RNN Approach Without Imputation
Soumen Pachal, Avinash Achar
Missing data scenarios are very common in ML applications in general and time-series/sequence applications are no exceptions. This paper pertains to a novel Recurrent Neural Networ…
Seasonal Encoder-Decoder Architecture for Forecasting
Avinash Achar, Soumen Pachal
Deep learning (DL) in general and Recurrent neural networks (RNNs) in particular have seen high success levels in sequence based applications. This paper pertains to RNNs for time…