D-IPG uses a trained Deceptron and Jacobian Composition Penalty to deliver first-order equivalent performance to damped Gauss-Newton on nonlinear inverse problems at up to 77x lower inference cost.
Lawrence Erlbaum Associates, Hillsdale, NJ, 2 edition, 1988
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Local Inverse Geometry Can Be Amortized
D-IPG uses a trained Deceptron and Jacobian Composition Penalty to deliver first-order equivalent performance to damped Gauss-Newton on nonlinear inverse problems at up to 77x lower inference cost.