3 citations · 12 across the 12 of their papers we have counts for
10 papers · 1 filter
Variational Learning with Disentanglement-PyTorch
Amir H. Abdi, Purang Abolmaesumi, Sidney Fels
Unsupervised learning of disentangled representations is an open problem in machine learning. The Disentanglement-PyTorch library is developed to facilitate research, implementatio…
A Study into Echocardiography View Conversion
Amir H. Abdi, Mohammad H. Jafari, Sidney Fels +2
Transthoracic echo is one of the most common means of cardiac studies in the clinical routines. During the echo exam, the sonographer captures a set of standard cross sections (ech…
A Preliminary Study of Disentanglement With Insights on the Inadequacy of Metrics
Amir H. Abdi, Purang Abolmaesumi, Sidney Fels
Disentangled encoding is an important step towards a better representation learning. However, despite the numerous efforts, there still is no clear winner that captures the indepen…
Reinforcement Learning for High-dimensional Continuous Control in Biomechanics: An Intro to ArtiSynth-RL
Amir H. Abdi, Masoud Malakoutian, Thomas Oxland +1
Neural control is an exciting mystery which we instinctively master. Yet, researchers have a hard time explaining the motor control trajectories. Physiologically accurate biomechan…
EEG-to-F0: Establishing artificial neuro-muscular pathway for kinematics-based fundamental frequency control
Himanshu Goyal, Pramit Saha, Bryan Gick +1
The fundamental frequency (F0) of human voice is generally controlled by changing the vocal fold parameters (including tension, length and mass), which in turn is manipulated by th…
An extended two-dimensional vocal tract model for fast acoustic simulation of single-axis symmetric three-dimensional tubes
Debasish Ray Mohapatra, Victor Zappi, Sidney Fels
The simulation of two-dimensional (2D) wave propagation is an affordable computational task and its use can potentially improve time performance in vocal tracts' acoustic analysis.…