Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Brauer’s Group Equivariant Neural Networks
Authors: Edward Pearce-Crump
ICML 2023 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | In this paper, we take an entirely different approach, one which results in a full characterisation of all of the possible group equivariant neural networks whose layers are some tensor power of Rn for the following three symmetry groups: O(n), the orthogonal group; SO(n), the special orthogonal group; and Sp(n), the symplectic group. |
| Researcher Affiliation | Academia | Department of Computing, Imperial College London, United Kingdom. Correspondence to: Edward Pearce Crump <EMAIL>. |
| Pseudocode | No | The paper contains mathematical derivations and matrix examples, but no clearly labeled pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not contain any statement or link indicating the release of open-source code for the methodology described. |
| Open Datasets | No | This is a theoretical paper and does not involve training on datasets; therefore, no public dataset information is provided. |
| Dataset Splits | No | This is a theoretical paper and does not involve dataset validation splits; therefore, no split information is provided. |
| Hardware Specification | No | The paper is theoretical and does not describe experiments that require specific hardware; therefore, no hardware specifications are mentioned. |
| Software Dependencies | No | The paper focuses on theoretical contributions and does not mention specific software dependencies with version numbers for experimental reproducibility. |
| Experiment Setup | No | As a theoretical paper, it does not detail any experimental setup, hyperparameters, or system-level training settings. |