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Ramchalam Kinattinkara Ramakrishnan
Ramchalam Kinattinkara Ramakrishnan
Qualcomm AI Research, Toronto
Verified email at mail.mcgill.ca
Title
Cited by
Cited by
Year
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
222018
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
162020
An empirical study of low precision quantization for tinyml
S Zhuo, H Chen, RK Ramakrishnan, T Chen, C Feng, Y Lin, P Zhang, ...
arXiv preprint arXiv:2203.05492, 2022
102022
Deep demosaicing for edge implementation
R Ramakrishnan, S Jui, V Partovi Nia
Image Analysis and Recognition: 16th International Conference, ICIAR 2019 …, 2019
32019
Neural network pruning
VP NIA, RK Ramakrishnan, EH Sari
US Patent App. 17/012,818, 2021
12021
Tensor train decompositions on recurrent networks
A Murua, R Ramakrishnan, X Li, RH Yang, VP Nia
arXiv preprint arXiv:2006.05442, 2020
12020
Differentiable Mask Pruning for Neural Networks.
RK Ramakrishnan, E Sari, VP Nia
CoRR, 2019
12019
Exploring Reinforcement Learning Techniques in Multiple Sequence Alignment
RK Ramakrishnan
McGill University (Canada), 2018
12018
[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
Deep Demosaicing
RK Ramakrishnan, S Jui, VP Nia
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