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ORCIDPradeep Kr. Banerjee
Person information
- affiliation (PhD 2020): Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany
- affiliation (former): Indian Institute of Technology Kharagpur, India
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2020 – today
- 2023
[j3]Johannes Rauh, Pradeep Kr. Banerjee, Eckehard Olbrich, Guido Montúfar, Jürgen Jost:
Continuity and additivity properties of information decompositions. Int. J. Approx. Reason. 161: 108979 (2023)- [c11]Kedar Karhadkar, Pradeep Kr. Banerjee, Guido Montúfar:
FoSR: First-order spectral rewiring for addressing oversquashing in GNNs. ICLR 2023 - 2022
- [c10]Pradeep Kr. Banerjee, Kedar Karhadkar, Yuguang Wang, Uri Alon, Guido Montúfar:
Oversquashing in GNNs through the lens of information contraction and graph expansion. Allerton 2022: 1-8 - [c9]Hui Jin, Pradeep Kr. Banerjee, Guido Montúfar:
Learning Curves for Gaussian Process Regression with Power-Law Priors and Targets. ICLR 2022 - [i16]Johannes Rauh, Pradeep Kr. Banerjee, Eckehard Olbrich, Guido Montúfar, Jürgen Jost:
Continuity and Additivity Properties of Information Decompositions. CoRR abs/2204.10982 (2022) - [i15]Pradeep Kr. Banerjee, Kedar Karhadkar, Yu Guang Wang, Uri Alon, Guido Montúfar:
Oversquashing in GNNs through the lens of information contraction and graph expansion. CoRR abs/2208.03471 (2022) - [i14]Kedar Karhadkar, Pradeep Kr. Banerjee, Guido Montúfar:
FoSR: First-order spectral rewiring for addressing oversquashing in GNNs. CoRR abs/2210.11790 (2022) - 2021
- [c8]Pradeep Kr. Banerjee, Guido Montúfar:
Information Complexity and Generalization Bounds. ISIT 2021: 676-681 - [i13]Pradeep Kr. Banerjee, Guido Montúfar:
Information Complexity and Generalization Bounds. CoRR abs/2105.01747 (2021) - [i12]Hui Jin, Pradeep Kr. Banerjee, Guido Montúfar:
Learning curves for Gaussian process regression with power-law priors and targets. CoRR abs/2110.12231 (2021) - 2020
- [b1]Pradeep Kr. Banerjee:
Unique information and the Blackwell order. Leipzig University, Germany, 2020, pp. 1-129 - [c7]Pradeep Kr. Banerjee, Guido Montúfar:
The Variational Deficiency Bottleneck. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [c6]Johannes Rauh
, Pradeep Kr. Banerjee, Eckehard Olbrich, Jürgen Jost:
Unique Information and Secret Key Decompositions. ISIT 2019: 3042-3046 - [i11]Johannes Rauh, Pradeep Kr. Banerjee, Eckehard Olbrich, Jürgen Jost:
Unique Information and Secret Key Decompositions. CoRR abs/1901.08007 (2019) - 2018
- [c5]Pradeep Kr. Banerjee, Eckehard Olbrich, Jürgen Jost, Johannes Rauh:
Unique Informations and Deficiencies. Allerton 2018: 32-38 - [c4]Pradeep Kr. Banerjee, Johannes Rauh, Guido Montúfar:
Computing the Unique Information. ISIT 2018: 141-145 - [i10]Pradeep Kr. Banerjee, Eckehard Olbrich, Jürgen Jost, Johannes Rauh:
Unique Informations and Deficiencies. CoRR abs/1807.05103 (2018) - [i9]Pradeep Kr. Banerjee, Guido Montúfar:
The Variational Deficiency Bottleneck. CoRR abs/1810.11677 (2018) - 2017
- [j2]Johannes Rauh, Pradeep Kr. Banerjee, Eckehard Olbrich, Jürgen Jost, Nils Bertschinger:
On Extractable Shared Information. Entropy 19(7): 328 (2017) - [j1]Johannes Rauh, Pradeep Kr. Banerjee, Eckehard Olbrich, Jürgen Jost, Nils Bertschinger, David H. Wolpert:
Coarse-Graining and the Blackwell Order. Entropy 19(10): 527 (2017) - [i8]Johannes Rauh, Pradeep Kr. Banerjee, Eckehard Olbrich, Jürgen Jost, Nils Bertschinger, David H. Wolpert:
Coarse-graining and the Blackwell order. CoRR abs/1701.07602 (2017) - [i7]Johannes Rauh, Pradeep Kr. Banerjee, Eckehard Olbrich, Jürgen Jost, Nils Bertschinger:
On extractable shared information. CoRR abs/1701.07805 (2017) - [i6]Pradeep Kr. Banerjee, Johannes Rauh, Guido Montúfar:
Computing the Unique Information. CoRR abs/1709.07487 (2017) - 2015
- [c3]Pradeep Kr. Banerjee, Nirmal B. Chakrabarti:
Noise sensitivity of Teager-Kaiser energy operators and their ratios. ICACCI 2015: 2265-2271 - [c2]Pradeep Kr. Banerjee:
Multipartite monotones for secure sampling by public discussion from noisy correlations. IWCIT 2015: 1-6 - [c1]Pradeep Kr. Banerjee:
A Secret Common Information Duality for Tripartite Noisy Correlations. SSCC 2015: 329-341 - [i5]Pradeep Kr. Banerjee:
Multipartite Monotones for Secure Sampling by Public Discussion From Noisy Correlations. CoRR abs/1502.05773 (2015) - [i4]Pradeep Kr. Banerjee:
Common Information Duality in Relation to Bounds on the Secret Key Rate. CoRR abs/1502.05775 (2015) - [i3]Pradeep Kr. Banerjee:
Some new insights into information decomposition in complex systems based on common information. CoRR abs/1503.00709 (2015) - [i2]Pradeep Kr. Banerjee, Nirmal B. Chakrabarti:
Noise Sensitivity of Teager-Kaiser Energy Operators and Their Ratios. CoRR abs/1504.08177 (2015) - [i1]Pradeep Kr. Banerjee, Virgil Griffith:
Synergy, Redundancy and Common Information. CoRR abs/1509.03706 (2015)
Coauthor Index
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