Pradeep Kr. Banerjee
Title
Cited by
Cited by
Year
On extractable shared information
J Rauh, PK Banerjee, E Olbrich, J Jost, N Bertschinger
Entropy 19 (7), 328, 2017
262017
Computing the unique information
PK Banerjee, J Rauh, G Montúfar
2018 IEEE International Symposium on Information Theory (ISIT), 141-145, 2018
122018
Coarse-graining and the Blackwell order
J Rauh, PK Banerjee, E Olbrich, J Jost, N Bertschinger, D Wolpert
Entropy 19 (10), 527, 2017
122017
Unique informations and deficiencies
PK Banerjee, E Olbrich, J Jost, J Rauh
2018 56th Annual Allerton Conference on Communication, Control, and …, 2018
112018
Synergy, redundancy and common information
PK Banerjee, V Griffith
arXiv preprint arXiv:1509.03706, 2015
112015
Noise sensitivity of Teager-Kaiser energy operators and their ratios
PK Banerjee, NB Chakrabarti
2015 International Conference on Advances in Computing, Communications and …, 2015
82015
The variational deficiency bottleneck
PK Banerjee, G Montúfar
arXiv preprint arXiv:1810.11677, 2018
62018
Unique information and secret key decompositions
J Rauh, PK Banerjee, E Olbrich, J Jost
2019 IEEE International Symposium on Information Theory (ISIT), 3042-3046, 2019
32019
A secret common information duality for tripartite noisy correlations
PK Banerjee
International Symposium on Security in Computing and Communication, 329-341, 2015
12015
PAC-Bayes and Information Complexity
PK Banerjee, G Montufar
Neural Compression: From Information Theory to Applications--Workshop@ ICLR 2021, 2021
2021
Multipartite Monotones for Secure Sampling by Public Discussion From Noisy Correlations
PK Banerjee
http://arxiv.org/abs/1502.05773, 2015
2015
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Articles 1–11