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3 papers
Tensor train decompositions on recurrent networks
Alejandro Murua, Ramchalam Ramakrishnan, Xinlin Li +2
Recurrent neural networks (RNN) such as long-short-term memory (LSTM) networks are essential in a multitude of daily live tasks such as speech, language, video, and multimodal lear…
Differentiable Mask for Pruning Convolutional and Recurrent Networks
Ramchalam Kinattinkara Ramakrishnan, Eyyüb Sari, Vahid Partovi Nia
Pruning is one of the most effective model reduction techniques. Deep networks require massive computation and such models need to be compressed to bring them on edge devices. Most…
Deep Demosaicing for Edge Implementation
Ramchalam Kinattinkara Ramakrishnan, Shangling Jui, Vahid Patrovi Nia
Most digital cameras use sensors coated with a Color Filter Array (CFA) to capture channel components at every pixel location, resulting in a mosaic image that does not contain pix…