NeurIPS 2026

Deadlines
Machine Learning/CORE Unranked

NeurIPS 2026

NeurIPS 2026 Workshop on Symmetry and Geometry in Neural Representations (Extended Abstract Track)

Dec 11 2026Sydney, New South Wales, AustraliaOfficial workshop site Site reachable

NeurReps 2026 is a NeurIPS workshop in Sydney, Australia, focused on uncovering the geometric and topological principles underlying neural representations in both biological and artificial systems. It brings together researchers from machine learning, computational neuroscience, and applied mathematics to explore symmetry, equivariance, and structure in neural computation.

Official CFP Back to deadlines Verified September 9, 2026

Key deadlines

Verified September 9, 2026

Full paper

August 28, 2026

AoE

Workshop timeline

Submission and decisions

Full paperKey deadline

August 28, 2026 · AoE

Paper fit

Contribution paths

A strong submission should clearly identify its contribution and evaluate it appropriately.

Proceedings Track

Self-contained, highly-developed research papers. Archivally published in a dedicated PMLR volume. Double-blind review via OpenReview. 9 pages, excl. refs + appendices.

Extended Abstract Track

Early-stage results, negative findings, opinion pieces, or novel datasets. Non-archival — may be posted to arXiv. Double-blind review via OpenReview. 4 pages, excl. refs + appendices.

Findings Track

New this year: high-impact collaborative work between experimentalists and theorists, in any standard preprint format. Single-blind, editorially reviewed by an advisory panel. No page limit.

Research areas in scope

01

Relevant Themes

Theory and methods for learning invariant and equivariant representationsStatistical learning theory in the context of topology, geometry, and symmetryRepresentational geometry in neural dataLearning and leveraging group structure in dataEquivariant world models for roboticsDynamics of neural representationsTopological deep learning and topological data analysisGeometric structure in languageGeometric and topological analysis of generative modelsSymmetries, dynamical systems, and learning

Policies worth checking twice

  • Papers in the Proceedings Track must include at least 30% new, unpublished/unsubmitted material if previously published or under review elsewhere.
  • To publish a NeurReps paper in another venue later, authors must add at least 30% new material.
  • There are no restrictions on Extended Abstract submissions.
  • All submitting authors need an OpenReview profile for the Proceedings and Extended Abstract tracks.
  • For the Findings track, only the submitting author needs an OpenReview profile; co-authors can be added by email.

Official sources

Compiled from the official call for papers. The organizers’ pages remain authoritative.

Last verified September 9, 2026