7 citations · 9 across the 2 of their papers we have counts for
3 papers
Sequence-to-Sequence Modeling for Action Identification at High Temporal Resolution
Aakash Kaku, Kangning Liu, Avinash Parnandi +7
Automatic action identification from video and kinematic data is an important machine learning problem with applications ranging from robotics to smart health. Most existing works…
Towards data-driven stroke rehabilitation via wearable sensors and deep learning
Aakash Kaku, Avinash Parnandi, Anita Venkatesan +3
Recovery after stroke is often incomplete, but rehabilitation training may potentiate recovery by engaging endogenous neuroplasticity. In preclinical models of stroke, high doses o…
Be Like Water: Robustness to Extraneous Variables Via Adaptive Feature Normalization
Aakash Kaku, Sreyas Mohan, Avinash Parnandi +2
Extraneous variables are variables that are irrelevant for a certain task, but heavily affect the distribution of the available data. In this work, we show that the presence of suc…