Avideep Mukherjee
PhD Student
RM-504, Rajeev Motwani Building, IIT Kanpur, Kanpur-208016, India
avideep@cse.iitk.ac.in, avideep@iitk.ac.in, mukherjeeavideep@gmail.com
Research Interests
Machine Learning
Deep Generative Modelling
Computer Vision
Languages
Bengali
English
Hindi
About
I am PhD Student in the Department of Computer Science and Engineering at IIT Kanpur advised by Prof. Vinay P. Namboodiri and Prof. Piyush Rai. My research interests include Machine Learning, Deep Learning, Deep Generative Modelling. I completed my Masters in Computer Science from Ramakrishna Mission Vivekananda Educational and Research Institute where I did my Masters Thesis under the supervision of Dr. Tanmay Basu. You can find my resume here.
Work Experience
Teaching Assistant / IIT Kanpur
August 2018 - Current
Tutor / IIT Kanpur
August 2019 - November 2019
Summer Intern / ISI Kolkata
May 2017 - July 2017
Education
Indian Institute of Technology Kanpur
2018 - Present
PhD Student in the Department of Computer Science and Engineering
Advisor : Prof. Vinay P. Namboodiri and Prof. Piyush Rai
Ramakrishna Mission Vivekananda Educational and Reseach Institute
2016 - 2018
M.Sc. in Computer Science
Advisor : Dr. Tanmay Basu
Publication(s)
Pandey, K, Mukherjee, A, Rai, P & Kumar, A 2022, DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents, in arXiv preprint arXiv:2201.00308.[PDF] [CODE]
Pandey, K, Mukherjee, A, Rai, P & Kumar, A 2021, VAEs meet Diffusion Models: Efficient and High-Fidelity Generation, in NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications.[PDF] [CODE]
Mukherjee, A, Patro, BN, Sidheekh, S, Singh, M, & Namboodiri, VP 2021, Attentive Contractive Flow with Lipschitz-Constrained Self-Attention, in SSRN 3981371.[PDF]
Mukherjee, A & Basu, T 2018, A medoid-based weighting scheme for nearest-neighbor decision rule toward effective text categorization, in SN Applied Sciences 2, pp. 1-9.[PDF] [CODE]
Mukherjee, A & Basu, T 2018, An Effective Nearest Neighbor Classification Technique Using Medoid Based Weighting Scheme, in Robert Stahlbock, Gary M. Weiss, Mahmoud Abou-Nasr, Proceedings of the 2018 International Conference on Data Science, pp. 231-4.[PDF] [CODE]