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cs.SE2026
CONQuER: Hardware-Aware Mixed-Precision Quantisation with Online-Calibrated Surrogates
Aidan Dakhama, Ajitha Rajan
Deploying deep neural networks on resource-constrained hardware relies on mixed-precision quantisation (MPQ). current deployment toolchains severely fragment this process. Quantisa…
cs.SE2025
FetaFix: Automatic Fault Localization and Repair of Deep Learning Model Conversions
Nikolaos Louloudakis, Perry Gibson, José Cano +1
Converting deep learning models between frameworks is a common step to maximize model compatibility across devices and leverage optimization features that may be exclusively provid…