2 papers
cs.LG2026
Scalable Uncertainty Quantification for Extreme Weather Forecasting via Empirical Neural Tangent Kernels
Jose Marie Antonio Miñoza, Rex Gregor Laylo, Sebastian C. Ibañez
Deep learning weather models now match numerical weather prediction accuracy while running orders of magnitude faster, but produce deterministic forecasts without uncertainty estim…
cs.LG2025
ML-EcoLyzer: Quantifying the Environmental Cost of Machine Learning Inference Across Frameworks and Hardware
Jose Marie Antonio Minoza, Rex Gregor Laylo, Christian F Villarin +1
Machine learning inference occurs at a massive scale, yet its environmental impact remains poorly quantified, especially on low-resource hardware. We present ML-EcoLyzer, a cross-f…