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..
Estimating Noise Correlations Across Continuous Conditions With Wishart Processes
Authors: Amin Nejatbakhsh, Isabel Garon, Alex Williams
NeurIPS 2023 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We demonstrate that these models perform favorably on experimental data from the mouse visual cortex and monkey motor cortex relative to standard covariance estimators. |
| Researcher Affiliation | Collaboration | Amin Nejatbakhsh Isabel Garon Alex H Williams Center for Neural Science, New York University, New York, NY Center for Computational Neuroscience, Flatiron Institute, New York, NY EMAIL |
| Pseudocode | No | The paper does not contain a section or figure explicitly labeled 'Pseudocode' or 'Algorithm'. |
| Open Source Code | Yes | All codes are implemented in numpyro [50] and available at https://github.com/neurostatslab/wishart-process. |
| Open Datasets | Yes | To investigate, we analyzed simultaneously recorded responses in mouse primary visual cortex to drifting visual gratings in the Allen Brain Observatory (Visual Coding: Neuropixels dataset).4 https://portal.brain-map.org/explore/circuits/visual-coding-neuropixels |
| Dataset Splits | Yes | Models were fitted on 60% of the available trials, radial and angular smoothness parameters for both GP and WP kernels were selected on a validation set of 25% of the data, and log-likelihood scores were generated using the remaining 15% of trials. |
| Hardware Specification | No | The paper does not provide specific details about the hardware (e.g., GPU/CPU models, memory, or cloud instances) used for running the experiments. |
| Software Dependencies | No | The paper states 'All codes are implemented in numpyro [50]' but does not provide a specific version number for numpyro or any other software dependencies. |
| Experiment Setup | Yes | All other hyperparameters are kept constant (P = 2, γ = 0.001, β = 1, and λµ = 1). ... the optimal performance of the Wishart model is achieved for λΣ 1.5 and P = 0. |