Abhijit Mahalunkar

Background

I am pursuing MPhil and currently investigating the vanishing gradient problem in recurrent neural architectures.

Sequential Data Models, Recurrent Neural Architectures, Reinforcement Learning, Computational Linguistics, Natural Language Processing, Internet of Things.

1) Mahalunkar, A., Kelleher, J.D. (2018). Using Regular Languages to Explore the Representational Capacity of Recurrent Neural Architectures. Arxiv 2018
2) Mascarenhas, A.A.M.Q., Afzulpurkar, S., Navelkar, G.S., Madhan, R., Maurya, P., Desa, E.S., Prabhudesai, S., Dabholkar, N.A., Lamani, V., Manoharan, V., Naik, N., Mahalunkar, A., Naik, O., Thottam, T.J., De Araujo, B.A. (2015). An integrated approach to study Mud Banks of Alleppey Kerala using the Autonomous Vertical Profiler (AVP). In 2015 IEEE Underwater Technology, UT 2015. https://doi.org/10.1109/UT.2015.7108325
3) Mascarenhas, A.A.M.Q., Navelkar, G.S., Madhan, R., Dabholkar, N.A., Prabhudesai, S.P., Maurya, P.K., Desa, E.S., Afzulpurkar, S., Suresh, T., Matondkar, S.G.P., Mahalunkar, A. (2012). An autonomous underwater vehicle “Maya” for monitoring coastal waters estuaries rivers and dams. In PORSEC 2012, Kochi, Kerala; India, pp. 10, Nov 2012.

1) Mahalunkar, A., Kelleher, J.D. (2018). Using Regular Languages to Explore the Representational Capacity of Recurrent Neural Architectures. Arxiv 2018.

DIT Fiosraigh Award 2018

https://www.linkedin.com/in/abhijitmahalunkar/
https://scholar.google.com/citations?user=OuufHbUAAAAJ&hl=en
http://www.abhijitm.com/