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..
Local Identifiability of Deep ReLU Neural Networks: the Theory
Authors: Joachim Bona-Pellissier, François Malgouyres, Francois Bachoc
NeurIPS 2022 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We did not run experiments. |
| Researcher Affiliation | Academia | Institut de Mathématiques de Toulouse ; UMR 5219 Université de Toulouse ; CNRS a UT1, F-31042 Toulouse, France b UPS, F-31062 Toulouse Cedex 9, France |
| Pseudocode | No | The paper provides mathematical derivations and theorems but does not include any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper states, 'We did not run experiments.', indicating no source code for a methodology to be released. |
| Open Datasets | No | The paper explicitly states, 'We did not run experiments.', therefore no datasets are used for training. |
| Dataset Splits | No | The paper explicitly states, 'We did not run experiments.', therefore no validation sets or splits are mentioned. |
| Hardware Specification | No | The paper explicitly states, 'We did not run experiments.', therefore no hardware specifications are provided. |
| Software Dependencies | No | The paper explicitly states, 'We did not run experiments.', therefore no software dependencies with version numbers are provided. |
| Experiment Setup | No | The paper explicitly states, 'We did not run experiments.', therefore no specific experimental setup details like hyperparameters or training configurations are provided. |