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cs.LG2026
MolFM-Lite: Multi-Modal Molecular Property Prediction with Conformer Ensemble Attention and Cross-Modal Fusion
Syed Omer Shah, Mohammed Maqsood Ahmed, Danish Mohiuddin Mohammed +2
Most machine learning models for molecular property prediction rely on a single molecular representation (either a sequence, a graph, or a 3D structure) and treat molecular geometr…
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…
cs.LG2026
DriftGuard: A Hierarchical Framework for Concept Drift Detection and Remediation in Supply Chain Forecasting
Shahnawaz Alam, Mohammed Abdul Rahman, Bareera Sadeqa
Supply chain forecasting models degrade over time as real-world conditions change. Promotions shift, consumer preferences evolve, and supply disruptions alter demand patterns, caus…