Learning Enhanced Structural Representations with Block-Based Uncertainties for Ocean Floor Mapping. - Jose Marie Antonio Miñoza (CoRR, 2025)

ML-EcoLyzer: Quantifying the Environmental Cost of Machine Learning Inference Across Frameworks and Hardware. - Jose Marie Antonio Miñoza; Rex Gregor Laylo; Christian F. Villarin; Sebastian C. Ibanez (CoRR, 2025)

An Interpretability-Guided Framework for Responsible Synthetic Data Generation in Emotional Text. - Paula Joy B. Martinez; Jose Marie Antonio Miñoza; Sebastian C. Ibanez (CoRR, 2025)

SPIKE: Sparse Koopman Regularization for Physics-Informed Neural Networks. - Jose Marie Antonio Miñoza (CoRR, 2026)

UltraLIF: Fully Differentiable Spiking Neural Networks via Ultradiscretization and Max-Plus Algebra. - Jose Marie Antonio Miñoza (CoRR, 2026)

Influence Malleability in Linearized Attention: Dual Implications of Non-Convergent NTK Dynamics. - Jose Marie Antonio Miñoza; Paulo Mario P. Medina; Sebastian C. Ibanez (CoRR, 2026)

eXplaining to Learn (eX2L): Regularization Using Contrastive Visual Explanation Pairs for Distribution Shifts. - Paulo Mario P. Medina; Jose Marie Antonio Miñoza; Sebastian C. Ibanez (CoRR, 2026)