3 citations · 22 across the 18 of their papers we have counts for
7 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 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…
Variational Shape Completion for Virtual Planning of Jaw Reconstructive Surgery
Amir H. Abdi, Mehran Pesteie, Eitan Prisman +2
The premorbid geometry of the mandible is of significant relevance in jaw reconstructive surgeries and occasionally unknown to the surgical team. In this paper, an optimization fra…
SPEAK YOUR MIND! Towards Imagined Speech Recognition With Hierarchical Deep Learning
Pramit Saha, Muhammad Abdul-Mageed, Sidney Fels
Speech-related Brain Computer Interface (BCI) technologies provide effective vocal communication strategies for controlling devices through speech commands interpreted from brain s…
Deep Learning the EEG Manifold for Phonological Categorization from Active Thoughts
Pramit Saha, Muhammad Abdul-Mageed, Sidney Fels
Speech-related Brain Computer Interfaces (BCI) aim primarily at finding an alternative vocal communication pathway for people with speaking disabilities. As a step towards full dec…
Hierarchical Deep Feature Learning For Decoding Imagined Speech From EEG
Pramit Saha, Sidney Fels
We propose a mixed deep neural network strategy, incorporating parallel combination of Convolutional (CNN) and Recurrent Neural Networks (RNN), cascaded with deep autoencoders and…
Muscle Excitation Estimation in Biomechanical Simulation Using NAF Reinforcement Learning
Amir H. Abdi, Pramit Saha, Praneeth Srungarapu +1
Motor control is a set of time-varying muscle excitations which generate desired motions for a biomechanical system. Muscle excitations cannot be directly measured from live subjec…