NeurReps
NeurIPS 2026 Workshop · Sydney, Australia

Symmetry and Geometry in Neural Representations

A gathering of mathematicians, machine learning researchers, and neuroscientists working to uncover the geometric principles shared by brains and machines.

Fri Dec 11 – Sat Dec 12, 2026 Sydney, Australia

Exact day within this range to be confirmed by NeurIPS.

The fields of biological and artificial intelligence are converging on a shared principle: the geometry and topology of real-world structure play a central role in building efficient, robust, and interpretable representations.

In neuroscience, mounting evidence suggests that neural circuits encode task and environmental structure through low-dimensional manifolds, conserved symmetries, and structured transformations. In deep learning, sparsity, equivariance, and compositionality are guiding the development of more generalizable and interpretable models.

NeurReps brings these threads together — fostering dialogue among machine learning researchers, neuroscientists, and mathematicians working to uncover unifying geometric principles of neural computation.

Just as geometry and symmetry once unified the models of twentieth-century physics, we believe they will now illuminate the computational foundations of intelligence.
Program

Invited Speakers

Program

Panelists

Joining the Session III discussion, "Topology, Geometry, and Neuroscience: Towards a Unified Framework."

Program

Schedule

Team

Organizers

Team

Area Chairs

Area chairs for the 2026 edition are being finalized. Announcing soon
Submit

Call for Papers

Three tracks, one poster session — a subset of submissions will be selected for spotlight talks.

Submission Deadline August 22, 2026 · AoE
Accept / Reject Notification September 29, 2026
9pages, excl. refs

Proceedings Track

Self-contained, highly-developed research papers. Archivally published in a dedicated PMLR volume. Double-blind review via OpenReview.

4pages, excl. refs

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.

no page limit

Findings Track

New this year: high-impact collaborative work between experimentalists and theorists, in any standard preprint format. Single-blind, editorially reviewed by the organizing committee.

All submitting authors need an OpenReview profile for the Proceedings and Extended Abstract tracks — creating one can take a few days, so please don't wait until the deadline. For the Findings track, only the submitting author needs a profile; co-authors can be added by email.

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Archive

Past Editions

A running history of NeurReps at NeurIPS — organizers, speakers, and proceedings from each year.