43 citations · 54 across the 4 of their papers we have counts for
4 papers
Wayformer: Motion Forecasting via Simple & Efficient Attention Networks
Nigamaa Nayakanti, Rami Al-Rfou, Aurick Zhou +3
Motion forecasting for autonomous driving is a challenging task because complex driving scenarios result in a heterogeneous mix of static and dynamic inputs. It is an open problem…
A Novel Feature Selection and Extraction Technique for Classification
Kratarth Goel, Raunaq Vohra, Ainesh Bakshi
This paper presents a versatile technique for the purpose of feature selection and extraction - Class Dependent Features (CDFs). We use CDFs to improve the accuracy of classificati…
Polyphonic Music Generation by Modeling Temporal Dependencies Using a RNN-DBN
Kratarth Goel, Raunaq Vohra, J. K. Sahoo
In this paper, we propose a generic technique to model temporal dependencies and sequences using a combination of a recurrent neural network and a Deep Belief Network. Our techniqu…
Learning Temporal Dependencies in Data Using a DBN-BLSTM
Kratarth Goel, Raunaq Vohra
Since the advent of deep learning, it has been used to solve various problems using many different architectures. The application of such deep architectures to auditory data is als…