3 papers
cs.LG2026
Hierarchical Sparse Circuit Extraction from Billion-Parameter Language Models through Scalable Attribution Graph Decomposition
Mohammed Mudassir Uddin, Shahnawaz Alam, Mohammed Kaif Pasha
Extracting sparse circuits from billion-parameter transformers is constrained by search cost and pervasive feature reuse across co-active pathways. Hierarchical Attributio…
cs.CV2026
Meta-Learning Guided Pruning for Few-Shot Plant Pathology on Edge Devices
Mohammed Mudassir Uddin, Shahnawaz Alam, Mohammed Kaif Pasha +3
Farmers in remote areas need quick and reliable methods for identifying plant diseases, yet they often lack access to laboratories or high-performance computing resources. Deep lea…
cs.LG2026
Constraint-Aware Neurosymbolic Uncertainty Quantification with Bayesian Deep Learning for Scientific Discovery
Shahnawaz Alam, Mohammed Mudassir Uddin, Mohammed Kaif Pasha
Scientific Artificial Intelligence (AI) applications require models that deliver trustworthy uncertainty estimates while respecting domain constraints. Existing uncertainty quantif…