3 papers
cs.NE2026
Distributed Hierarchical Temporal Memory with Shared Associative Memory for Cross-Entity Preemptive Warning
Pavia Bera, Jennifer Adorno, Sanjukta Bhanja
Anomaly detection in multivariate time series remains a critical challenge in large-scale distributed systems, where related entities may exhibit transferable precursor behavior pr…
cs.LG2025
Enhancing Biologically Inspired Hierarchical Temporal Memory with Hardware-Accelerated Reflex Memory
Pavia Bera, Sabrina Hassan Moon, Jennifer Adorno +2
The rapid expansion of the Internet of Things (IoT) generates zettabytes of data that demand efficient unsupervised learning systems. Hierarchical Temporal Memory (HTM), a third-ge…
cs.LG2025
Quantification of Uncertainties in Probabilistic Deep Neural Network by Implementing Boosting of Variational Inference
Pavia Bera, Sanjukta Bhanja
Modern neural network architectures have achieved remarkable accuracies but remain highly dependent on their training data, often lacking interpretability in their learned mappings…