Ramchalam Kinattinkara Ramakrishnan
Ramchalam Kinattinkara Ramakrishnan
Qualcomm AI Research, Toronto
Verified email at mail.mcgill.ca
Title
Cited by
Cited by
Year
Differentiable Mask for Pruning Convolutional and Recurrent Networks
RK Ramakrishnan, E Sari, VP Nia
2020 17th Conference on Computer and Robot Vision (CRV), 222-229, 2020
42020
Rlalign: a reinforcement learning approach for multiple sequence alignment
RK Ramakrishnan, J Singh, M Blanchette
2018 IEEE 18th International Conference on Bioinformatics and Bioengineering …, 2018
22018
Deep demosaicing for edge implementation
R Ramakrishnan, S Jui, VP Nia
International Conference on Image Analysis and Recognition, 275-286, 2019
12019
Neural network pruning
VP NIA, RK Ramakrishnan, EH Sari
US Patent App. 17/012,818, 2021
2021
Tensor train decompositions on recurrent networks
A Murua, R Ramakrishnan, X Li, RH Yang, VP Nia
arXiv preprint arXiv:2006.05442, 2020
2020
Differentiable Mask Pruning for Neural Networks
RK Ramakrishnan, E Sari, VP Nia
arXiv preprint arXiv:1909.04567, 2019
2019
[Regular Paper] Detection of Errors in Multi-genome Alignments Using Machine Learning Approaches
J Singh, RK Ramakrishnan, M Blanchette
2018 IEEE 18th International Conference on Bioinformatics and Bioengineering …, 2018
2018
Exploring Reinforcement Learning Techniques in Multiple Sequence Alignment
RK Ramakrishnan
McGill University (Canada), 2018
2018
Deep Demosaicing
RK Ramakrishnan, S Jui, VP Nia
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