05/02/2026 - Pytorch implementation released 09/06/2025 – Initial SIGMA code released with example notebook and test images. SIGMA (Self-guided Integrated Gradient Method for Attribution) is a ...

1. What is the Policy Gradient Theorem? The Policy Gradient Theorem is a method in reinforcement learning for learning "how an agent should act to increase its rewards." Policy: The rule that ...

Recently, the ConFIG method has also been applied to train physics-constrained generative models: Flow Matching Meets PDEs: A Unified Framework for Physics ...

For difficult problems, in our context, problems on highly deformed meshes, the Conjugate Gradient (CG) method may converge slowly, because the linear system is very poorly conditioned, and expensive ...

Abstract: For the conjugate gradient method to solve the unconstrained optimization problem, given a new interval method to obtain the direction parameters, and a new conjugate gradient algorithm is ...

Abstract: Conjugate gradient techniques are widely used to solve unconstrained optimization issues. The accelerated conjugate gradient approach provides superior numerical effects for the ...

If the ‘That verification method isn’t working right now‘ message appears due to traffic issues, it should automatically be resolved after a certain period of time. In other cases, use these fixes: ...

The gradient delay volume is one of the most important, yet least understood, parameters that affect how gradient elution separations in liquid chromatography (LC) work. This parameter has ...