3 papers
cs.LG2026
BayPrAnoMeta: Bayesian Proto-MAML for Few-Shot Industrial Image Anomaly Detection
Soham Sarkar, Tanmay Sen, Sayantan Banerjee
Industrial image anomaly detection is a challenging problem owing to extreme class imbalance and the scarcity of labeled defective samples, particularly in few-shot settings. We pr…
stat.ME2026
Deep learning estimation of the spectral density of functional time series on large domains
Neda Mohammadi, Soham Sarkar, Piotr Kokoszka
We derive an estimator of the spectral density of a functional time series that is the output of a multilayer perceptron neural network. The estimator is motivated by difficulties…
stat.AP2025
A Review of Statistical and Machine Learning Approaches for Coral Bleaching Assessment
Soham Sarkar, Arnab Hazra
Coral bleaching is a major concern for marine ecosystems; more than half of the world's coral reefs have either bleached or died over the past three decades. Increasing sea surface…