ICDN is a neural network that models log-demand from log-prices so elasticities can be derived exactly by differentiation, showing better out-of-sample performance than log-log benchmarks on beer sales data.
A second-order gradient-like dissipative dynamical system with Hessian-driven damping
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Authors propose and prove convergence for second-order continuous-time splitting dynamics solving stochastic monotone inclusions under closed-loop distributions, with strong and exponential rates under uniform and strong monotonicity.
citing papers explorer
-
Second order splitting dynamics for stochastic monotone inclusions with closed loop distribution
Authors propose and prove convergence for second-order continuous-time splitting dynamics solving stochastic monotone inclusions under closed-loop distributions, with strong and exponential rates under uniform and strong monotonicity.