5 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2022
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…
cs.LG2022
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…
cs.AI2010★ 5 cited
A unified view of Automata-based algorithms for Frequent Episode Discovery
Avinash Achar, Srivatsan Laxman, P. S. Sastry
Frequent Episode Discovery framework is a popular framework in Temporal Data Mining with many applications. Over the years many different notions of frequencies of episodes have be…