1 citations · 1 across the 2 of their papers we have counts for
3 papers
q-bio.BM2026
Correcting the Dropout-LayerNorm Expectation Gap Improves Protein Structure Models
Isaac Ellmen, David Errington, Matthew I. J. Raybould +1
Although , here we show that is not equal to . Accordingly, the pa…
cs.LG2025
Transformers trained on proteins can learn to attend to Euclidean distance
Isaac Ellmen, Constantin Schneider, Matthew I. J. Raybould +1
While conventional Transformers generally operate on sequence data, they can be used in conjunction with structure models, typically SE(3)-invariant or equivariant graph neural net…
q-bio.PE2023★ 1 cited
EpiGeoPop: A Tool for Developing Spatially Accurate Country-level Epidemiological Models
Lara Herriott, Henriette L. Capel, Isaac Ellmen +7
Mathematical models play a crucial role in understanding the spread of infectious disease outbreaks and influencing policy decisions. These models aid pandemic preparedness by pred…