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..
Improved Graph Laplacian via Geometric Self-Consistency
Authors: Dominique Joncas, Marina Meila, James McQueen
NeurIPS 2017 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | 5 Experimental Results, Synthethic Data. We experimented with estimating the bandwidth ˆϵ on data sampled from two known manifolds..., Semi-supervised Learning (SSL) with Real Data. In this set of experiments, the task is classification on the benchmark SSL data sets proposed by [28]. |
| Researcher Affiliation | Collaboration | Dominique C. Perrault-Joncas Google, Inc. EMAIL Marina Meil a Department of Statistics University of Washington EMAIL James Mc Queen Amazon EMAIL |
| Pseudocode | Yes | Algorithm 1 Riemannian Metric(X, i, L, pow { 1, 1}) Algorithm 2 Tangent Subspace Projection(X, w, d ) Algorithm 3 Compute Distortion(X, ϵ, d ) |
| Open Source Code | No | The paper does not provide any links to open-source code or explicitly state that the code for its methodology is publicly available. |
| Open Datasets | Yes | Semi-supervised Learning (SSL) with Real Data. In this set of experiments, the task is classification on the benchmark SSL data sets proposed by [28]. (Digit1, USPS, COIL, BCI, g241c, g241d) |
| Dataset Splits | Yes | We split the training set (consisting of 100 points in all data sets) into two equal groups;5 we minimize the highly non-smooth CV classification error by simulated annealing. In other words, we do 2-fold CV. |
| Hardware Specification | No | The paper does not provide specific details about the hardware used to run the experiments, such as CPU or GPU models, or memory specifications. |
| Software Dependencies | No | The paper does not provide specific software dependencies, such as library names with version numbers, required to replicate the experiments. |
| Experiment Setup | Yes | The range of ϵ values was delimited by ϵmin and ϵmax. We set ϵmax to the average of ||xi xj||2 over all point pairs and ϵmin to the limit in which the heat kernel W becomes approximately equal to the unit matrix; this is tested by maxj(P i Wij) 1 < γ4 for γ 10 4. This range spans about two orders of magnitude in the data we considered, and was searched by a logarithmic grid with approximately 20 points. We saved computatation time by evaluating all pointwise quantities ( ˆD, local SVD) on a random sample of size N = 200 of each data set. |