Develops multi-scale and alternating-diffusion fused variants of CKA and distance correlation via Markov matrices for neural representation comparison, reporting state-of-the-art results on ReSi and OOD benchmarks.
Evaluating representational similarity measures from the lens of functional correspondence
3 Pith papers cite this work, alongside 2 external citations. Polarity classification is still indexing.
3
Pith papers citing it
2
external citations · external index
years
2026 3verdicts
UNVERDICTED 3representative citing papers
Decoding alignment metrics can remain high and unchanged even when encoding manifold topology is causally altered, so they do not imply similar function or computation across neural populations.
Fine-tuning FinBERT on Finnish medical text produces embedding geometry shifts whose correlation with downstream performance the authors attempt to measure as a potential early signal for domain adaptation benefit.
citing papers explorer
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From Layers to Networks: Comparing Neural Representations via Diffusion Geometry
Develops multi-scale and alternating-diffusion fused variants of CKA and distance correlation via Markov matrices for neural representation comparison, reporting state-of-the-art results on ReSi and OOD benchmarks.
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Decoding Alignment without Encoding Alignment: A critique of similarity analysis in neuroscience
Decoding alignment metrics can remain high and unchanged even when encoding manifold topology is causally altered, so they do not imply similar function or computation across neural populations.
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Domain Fine-Tuning FinBERT on Finnish Histopathological Reports: Train-Time Signals and Downstream Correlations
Fine-tuning FinBERT on Finnish medical text produces embedding geometry shifts whose correlation with downstream performance the authors attempt to measure as a potential early signal for domain adaptation benefit.