High Dimensional Statistics
Graphical Models
Fluctuations and theory of dependent observations
Random Matrix Theory
Statistical Problems in Single Cell genomics
Community Detection With Contextual Multilayer Networks ("Accepted" at IEEE Transactions on Information Theory).
Zongming Ma, and Sagnik Nandy.
Exact Detection Thresholds for Chatterjee’s Correlation ("Accepted" at Bernoulli).
Arnab Auddy*, Nabarun Deb*, and Sagnik Nandy*. (equal contribution).
Detecting planted partition in sparse multilayer networks ("Accepted" at Information and Inference: A journal of IMA).
Anirban Chatterjee, Sagnik Nandy, and Ritwik Sadhu.
Bayes optimal learning in high-dimensional linear regression with network side information ("Accepted" at IEEE Transactions on Information Theory).
Sagnik Nandy, and Subhabrata Sen.
Degree Heterogeneity in Higher-Order Networks: Inference in the Hypergraph β-Model ("Accepted" at IEEE Transactions on Information Theory).
Sagnik Nandy, and Bhaswar B. Bhattacharya.
Extremal Eigenvalues of Random Kernel Matrices with Polynomial Scaling ("Accepted" at Random Matrices: Theory and Applications).
David Kogan, Sagnik Nandy, and Jiaoyang Huang.
PriME: Privacy-aware Membership profile Estimation in networks (Preprint).
Abhinav Chakraborty, Sayak Chatterjee, and Sagnik Nandy. (equal contribution).
Multimodal data integration and cross-modal querying via orchestrated approximate message passing (Preprint).
Sagnik Nandy, and Zongming Ma.
How Private is Your Attention? Bridging Privacy with In-Context Learning (Preprint).
Soham Bonnerjee, Zhen Wei (Kingsley)Yeon, Anna Asch, Sagnik Nandy, and Promit Ghosal.