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cs.LG2026
Scale Sensitivity in Low-Bit Post-Training Quantization: Curvature of the Quantization Error Landscape
Jonas von Berg, Massimiliano Datres, Carlo Kneißl +1
Post-training quantization (PTQ) methods in the GPTQ family minimize a layer-wise reconstruction error on a uniform grid whose scale must be chosen; the common max-based choice deg…
cs.LG2025
Improved probabilistic regression using diffusion models
Carlo Kneissl, Christopher Bülte, Philipp Scholl +1
Probabilistic regression models the entire predictive distribution of a response variable, offering richer insights than classical point estimates and directly allowing for uncerta…