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..
Robustifying Generalizable Implicit Shape Networks with a Tunable Non-Parametric Model
Authors: Amine Ouasfi, Adnane Boukhayma
NeurIPS 2023 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We demonstrate the improvement obtained through our method with respect to baselines and the state-of-the-art using synthetic and real data. |
| Researcher Affiliation | Academia | Amine Ouasfi Adnane Boukhayma Inria, Univ. Rennes, CNRS, IRISA, M2S, France |
| Pseudocode | Yes | Algorithm 1 The training procedure of our method. |
| Open Source Code | No | The paper does not include an unambiguous statement that the authors are releasing the code for the work described in this paper, nor does it provide a direct link to a source-code repository for their method. |
| Open Datasets | Yes | Shape Net [12] consists of various instances of 13 different synthetic 3D object classes. Scan Net v2[18] is a challenging real dataset containing 1513 room scans as captured with an RBG-D camera. Faust [6] consists of real scans of 10 human body identities in 10 different poses. |
| Dataset Splits | No | The paper mentions using a 'training split' and 'test split' of Shape Net, but does not provide specific percentages, sample counts, or explicit citations to predefined standard splits for reproduction. |
| Hardware Specification | Yes | Our method takes roughly 10 seconds to converge on a NVIDIA RTX A6000 GPU. |
| Software Dependencies | No | The paper mentions using the 'Falcon Library' but does not specify its version number, nor does it list other software dependencies with specific version numbers. |
| Experiment Setup | Yes | We run all the experiments for 100 epochs using Adam optimizer with learning rate 0.1. We experimented with NP = 10k (also 500 and 3k in ablation) and NF = 32 and m = 500 inducing points. |