LSTM AutoEncoder
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
LSTM AutoEncoder has 23 facts recorded in Dontopedia across 5 references, with 3 live disagreements.
Mostly:has f1 score(4), has parameter count(3), has training time(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (9)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
hasFewerParametersThanHas Fewer Parameters Than(2)
- Chon
ex:chon - Chon Model
ex:chon-model
beatsOnF1Beats on F1(1)
- Chon Model
ex:chon-model
comparesMethodCompares Method(1)
- Comparison Table
ex:comparison-table
comparesToCompares to(1)
- Xenonfun
ex:xenonfun
has860TimesFewerParametersThanHas860 Times Fewer Parameters Than(1)
- Chon Model
ex:chon-model
hasParameterCountAdvantageOverHas Parameter Count Advantage Over(1)
- Chon Model
ex:chon-model
matchesAurocOfMatches Auroc of(1)
- Chon Model
ex:chon-model
outperformsInTrainingSpeedOutperforms in Training Speed(1)
- Chon Model
ex:chon-model
Other facts (21)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Has F1 Score | 0.98 | [2] |
| Has F1 Score | 0.99 | [3] |
| Has F1 Score | 0.98 | [4] |
| Has F1 Score | 0.98 | [5] |
| Has Parameter Count | 100000 | [2] |
| Has Parameter Count | 150000 | [3] |
| Has Parameter Count | 100000 | [5] |
| Has Training Time | minutes | [2] |
| Has Training Time | minutes | [5] |
| Has F1 | 0.98 | [1] |
| Has More Parameters | null | [1] |
| Has Auroc Score | 0.99 | [2] |
| Is Published Baseline | null | [2] |
| Has Parameter Count Lower Bound | 50000 | [3] |
| Has Parameter Count Upper Bound | 200000 | [3] |
| Has Detection Lead Time | not reported | [3] |
| Has F1 Score Lower Bound | 0.98 | [3] |
| Has F1 Score Upper Bound | 1 | [3] |
| Requires Threshold Tuning | true | [3] |
| Rdf:type | Machine Learning Model | [5] |
| Has Auroc | 0.99 | [5] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (5)
ctx:discord/blah/watt-activation/part-509ctx:discord/blah/watt-activation/part-508ctx:discord/blah/watt-activation/503- full textwatt-activation-503text/plain3 KB
doc:agent/watt-activation-503/6b110c88-b7c7-4361-9c52-c715909ba016Show excerpt
[2026-03-22 19:39] xenonfun: ⏺ Here's how CHON compares to published methods on this exact dataset: ``` ┌────────────────┬───────────────────┬─────────────────┬─────────────────────┬──────────────────────┐ │ Method │ Params…
ctx:discord/blah/watt-activation/506- full textwatt-activation-506text/plain2 KB
doc:agent/watt-activation-506/491a6927-81ff-44b4-967f-83424796e025Show excerpt
[2026-03-22 20:23] xenonfun: ⏺ Interesting — AUROC is identical at 0.985 across all group counts. The residual separability is already maxed out. The F1 differences come from threshold tuning, not the model itself. G=1 actually gives the …
ctx:discord/blah/watt-activation/505- full textwatt-activation-505text/plain2 KB
doc:agent/watt-activation-505/942386e0-0cb8-490c-8592-6512fb5cc7cbShow excerpt
[2026-03-22 20:11] xenonfun: ``` ⏺ Formal results: ┌───────────────┬───────────────────┬──────────────────────────┐ │ Metric │ CHON (119 params) │ Best Published │ ├───────────────┼───────────────────┼───────────────…
See also
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