Research map / Probabilistic and scientific modeling / Variational and generative sampling
Neural Clustering Processes
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use NCP instead of vGMFM | spike sorting on synthetic data · Synthetic spike sorting | AMI: 11% higher | Helped |
| Use NCP instead of Kilosort | real spike sorting · Real spike sorting | templates with clear RFs: 72 -> 103 | Helped |
| Use NCP instead of Kilosort | hybrid spike sorting · Hybrid spike sorting | injected ground-truth templates recovered: 8 -> 13 of the 20 | Helped |
| Use NCP instead of vGMFM | hybrid spike sorting · Hybrid spike sorting | injected ground-truth templates recovered: 6 -> 13 of the 20 | Helped |
| Use uniform discrete posterior for the first point in a cluster instead of Gumbel-Softmax relaxation (ablation) | CCP · Examples considered | Geweke test agreement | Helped |
| Use NCP instead of the variational approach | spike sorting with 2000 spikes · Spike sorting, 2000 spikes | number of clustering configurations: one -> 150 | Helped |
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