Loss functions and constraints improve sea surface height prediction

In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...

Why The Best Forecasts Start By Thinking Like A Five-Year-Old

Drawing on research, ESMT’s Oliver Binz shows why breaking profitability into its underlying drivers — rather than treating ...
Mid-Day

Systematic Approaches to Trading Volatility Using Options Strategies

Systematic options trading helps traders harness volatility using data, probability, and disciplined risk management.
IEEE

Enhancing Wind Speed Forecasting with Multi-Meteorological Factors LSTM Models and Novel Loss Function Design

Abstract: Wind power generation has grown in importance as renewable energy technology has advanced; nonetheless, wind speed forecasting remains a concern. Traditional approaches are inadequate in ...
GitHub

A comprehensive Python framework designed for exploring the loss landscapes of deep learning models.

Landscaper is available on PyPI, making it easy to install and integrate into your projects. @misc{https://doi.org/10.5281/zenodo.15874987, doi = {10.5281/ZENODO ...