2 citations · 7 across the 7 of their papers we have counts for
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cs.LG2026
Probing for Representation Manifolds in Superposition
Alexander Modell
This paper introduces the Manifold Probe, a supervised method for discovering representation manifolds in superposition. The method generalizes linear regression probes by learning…
cs.LG2025★ 2 cited
The Origins of Representation Manifolds in Large Language Models
Alexander Modell, Patrick Rubin-Delanchy, Nick Whiteley
There is a large ongoing scientific effort in mechanistic interpretability to map embeddings and internal representations of AI systems into human-understandable concepts. A key el…
cs.LG2023★ 1 cited
Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks
Alexander Modell, Ian Gallagher, Emma Ceccherini +2
We present a new representation learning framework, Intensity Profile Projection, for continuous-time dynamic network data. Given triples , each representing a time-stampe…