mrinal | IIT Palakkad

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04923 226 300 (Office) | info@iitpkd.ac.in

INDIAN INSTITUTE OF TECHNOLOGY PALAKKAD
Kanjikode | Palakkad | Kerala - 678623

0491 209 2001 (Office) | info@iitpkd.ac.in

Dr. Mrinal Kanti Das

Assistant Professor

Data Science

Research Area: Machine Learning, Research Area: Data Science, Research Area: Data Privacy, Research Area: Bayesian models, Research Area: Deep Learning, Research Area: Computer Vision

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Publications

Weight-Agnostic Hierarchical Stick-Breaking Process
Mrinal Kanti Das, Chiranjib Bhattacharyya
IEEE International Conference on Big Knowledge (ICBK) 5 (1) (2018)

Efficient differentially private learning improves drug sensitivity prediction
Antti Honkela(1), Mrinal Das(1), Arttu Nieminen, Onur Dikmen, Samuel Kaski.
Biology Direct (2018)

SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications.
Isabelle Augenstein, Mrinal Das, Sebastian Riedel, Lakshmi Vikraman, Andrew McCallum.
International Workshop on Semantic Evaluation, 2017. (2017)

SOPER: Discovering the influence of fashion and the many faces of User from Session logs using Stick Breaking Process
Lucky Dhakad, Mrinal Das, Chiranjib Bhattacharyya, Samik Datta, Mihir Kale, Vivek Mehta.
International Conference on Information and Knowledge Management (CIKM) (2017)

Efficient differentially private learning.
Antti Honkela(1), Mrinal Das(1), Onur Dikmen, Samuel Kaski.
Theory and Practice of Differential Privacy WS at ICML 2016. (2016)

Relating Romanized Comments to News Articles by Inferring Multi-glyphic Topical Correspondence.
Goutham Tholpadi, Mrinal Das, Trapit Bansal, Chiranjib Bhattacharyya.
Association for the Advancement of Artificial Intelligence Conference (AAAI) (2015)

Content Driven User Profiling for Comment-Worthy Recommendations of News and Blog Articles.
Trapit Bansal, Mrinal Das, Chiranjib Bhattacharyya.
The ACM Conference Series on Recommender Systems (RecSys) (2015)

Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models.
Mrinal Das, Trapit Bansal, Chiranjib Bhattacharyya.
International Conference on Machine Learning (ICML) (2015)

Going beyond Corr-LDA for Detecting Specific Comments on News & Blogs.
Mrinal Das, Trapit Bansal, Chiranjib Bhattacharyya.
ACM Conference on Web Search and Data Mining (WSDM) (2014)

Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically.
Mrinal Das, Suparna Bhattacharya, Chiranjib Bhattacharyya, K. Gopinath.
International Conference on Machine Learning (ICML) (2013)

Cluster Labeling for Multilingual Scatter/Gather in Resource-scarce Languages.
Goutham Tholpadi, Mrinal Das, Chiranjib Bhattacharyya, Shirish Shevade.
European Conference on Information Retrieval (ECIR) (2012)

Learning Dirichlet Processes from Partially Observed Groups.
Avinava Dubey, Indrajit Bhattacharya, Mrinal Das, Tanveer Faruquie, Chiranjib Bhattacharyya.
International Conference on Data Mining (ICDM) (2011)

Non-dominated Rank based Sorting Genetic Algorithms.
Ashish Ghosh, Mrinal Kanti Das.
Journal of Fundamenta Informaticae (2008)