IMM Paper 12: ML Architecture as Receiver Design Pattern — Cross-Substrate Generalization and Failure Mode Predictions

Cross-substrate conjecture (explicitly labeled): ML architectures exhibit same failure modes at structurally corresponding hyperparameters. Oscillatory (high context + low temperature + no dropout), overload (high gain + short context), freeze (low learning rate + high regularization). All three predictions testable on existing hardware within days. Paper 12 of 12.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-14
DOI
https://doi.org/10.5281/zenodo.20365746
Primary Topic
Low-power high-performance VLSI design
Type
preprint
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IMM Paper 12: ML Architecture as Receiver Design Pattern — Cross-Substrate Generalization and Failure Mode Predictions

Travis Bergen
Zenodo (CERN European Organization for Nuclear Research)
Low-power high-performance VLSI design
preprint

IMM Paper 12: ML Architecture as Receiver Design Pattern — Cross-Substrate Generalization and Failure Mode Predictions

Travis Bergen
preprint en

Abstract

Cross-substrate conjecture (explicitly labeled): ML architectures exhibit same failure modes at structurally corresponding hyperparameters. Oscillatory (high context + low temperature + no dropout), overload (high gain + short context), freeze (low learning rate + high regularization). All three predictions testable on existing hardware within days. Paper 12 of 12.

Zenodo (CERN European Organization for Nuclear Research)
Low-power high-performance VLSI design
DOIOpen Access PDFOpenAlex
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IMM Paper 12: ML Architecture as Receiver Design Pattern — Cross-Substrate Generalization and Failure Mode Predictions — Travis Bergen · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS