Adjoint methods for computing sensitivities in local volatility surfaces
PulseAugur coverage of Adjoint methods for computing sensitivities in local volatility surfaces — every cluster mentioning Adjoint methods for computing sensitivities in local volatility surfaces across labs, papers, and developer communities, ranked by signal.
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New arXiv papers explore disconnect between neural network computation and learning
Two new arXiv papers explore the dynamics of neural computation, focusing on the divergence between complex forward computation and simpler learning mechanisms. The first paper introduces a "Generation-Fact Graph" to un…
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New theory unifies physical backpropagation for AI hardware
Researchers have developed a unifying theory for physical backpropagation, enabling gradient-based optimization in physical computing systems. The theory, based on the adjoint method, identifies conditions under which h…
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Adjoint method vs. PINNs: Performance compared for PDE inverse problems
A new paper compares adjoint optimization and physics-informed neural networks (PINNs) for solving inverse problems governed by partial differential equations. The research highlights that the choice of method depends o…