Good Papers

Showing papers from Simplex Show all papers

67%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026SimplexU ManchesterSimplex, Astera InstituteMechanistic interpretability

What Arranges Features in Activation Space? Non-Classical Predictive Geometry in Next-Token Predictors

Adam Shai, Thomas J Elliott, Paul Riechers

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
2/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 2 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 1/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026Flatiron InstituteSimplexNew YorkTime series forecasting

Linear approximations to HMM filtering

Andrew Mah, Joshua L Pughe-Sanford, Sarah Harvey, Alex Williams

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
71%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026New YorkSimplexProbing & representation analysis

How Data Augmentation Shapes Neural Representations

Data augmentation drives structured geometric trajectories in neural representations, with augmentation type and strength determining distinct shape-space paths that predict ensemble gains.

Tianxiao He, Alex Williams, Sarah Harvey

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
7/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 7 of 20 reviewers recommend it
lenient 4/5
medium 3/10
strict 0/5