A Memory-Efficient Implementation of TLM-Based Adjoint Sensitivity Analysis
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Bibliographic record
Abstract
We present a memory efficient algorithm for the estimation of adjoint sensitivities with the 2D transmission line modeling (TLM) method. The algorithm is based on manipulating the local scattering matrices to reduce the required storage for the original structure simulation associated with lossy dielectric discontinuities. Only one value per cell is stored for two dimensional simulations. Moreover, the connection step for the scattered sensitivity storage is embedded during the adjoint simulation and the sensitivity estimates are calculated on the fly. The required memory storage for our implementation is only 10% of the original implementation of AVM sensitivity with TLM.
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Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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