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..
Identifiability of Deep Polynomial Neural Networks
Authors: Konstantin Usevich, Ricardo Borsoi, Clara Dérand, Marianne Clausel
NeurIPS 2025 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | From the NeurIPS Paper Checklist: "Experimental result reproducibility Answer: [NA] Justification: Our paper does not include experiments." |
| Researcher Affiliation | Academia | Université de Lorraine, CNRS, CRAN Nancy, F-54000, France EMAIL |
| Pseudocode | No | The paper focuses on mathematical proofs and theoretical analysis of identifiability in deep polynomial neural networks. It does not present any pseudocode or algorithm blocks. |
| Open Source Code | No | From the NeurIPS Paper Checklist: "Open access to data and code Answer: [NA] Justification: Our paper is theoretical and does not include experiments, thus it does not require data or code." |
| Open Datasets | No | From the NeurIPS Paper Checklist: "Open access to data and code Answer: [NA] Justification: Our paper is theoretical and does not include experiments, thus it does not require data or code." |
| Dataset Splits | No | The paper is theoretical and does not conduct experiments, therefore no dataset splits are mentioned or described. |
| Hardware Specification | No | From the NeurIPS Paper Checklist: "Experiments compute resources Answer: [NA] Justification: Our paper is theoretical and does not include experiments." |
| Software Dependencies | No | The paper is theoretical and does not describe any experimental implementation, thus no software dependencies are specified. |
| Experiment Setup | No | From the NeurIPS Paper Checklist: "Experimental setting/details Answer: [NA] Justification: Our paper is theoretical and does not include experiments." |