Options that appear in the same research papers as LSTM, by co-occurrence.
| Alternative | Difference | Papers (with LSTM) | Avg viability |
|---|---|---|---|
| CNN | — | 6 | — |
| Transformer | — | 4 | — |
| MLP | — | 3 | — |
| PyTorch | — | 2 | — |
| KAN | — | 2 | — |
| Transformers | — | 1 | — |
| Qwen |
| — |
| 1 |
| — |
| GRU | — | 1 | — |
| BERT | — | 1 | — |
| Qwen3 | — | 1 | — |
| Deep Evidential Regression | — | 1 | — |
| Conformal Prediction | — | 1 | — |
| T-LSTM | — | 1 | — |
| Attention-augmented LSTM | — | 1 | — |
| MIMIC-IV | — | 1 | — |
| S4 | — | 1 | — |
| S5 | — | 1 | — |
| attention-augmented LSTM | — | 1 | — |
| Adaptive PCA | — | 1 | — |
| H3 | — | 1 | — |
| EEGXF | — | 1 | — |
| ProbFM | — | 1 | — |
| Deep Evidential Regression (DER) | — | 1 | — |
| Gaussian NLL | — | 1 | — |
| Students-t NLL | — | 1 | — |
| Quantile Loss | — | 1 | — |
| time-aware LSTM | — | 1 | — |
| ExiD | — | 1 | — |
| Tiny Time Mixers | — | 1 | — |
| MOIRAI | — | 1 | — |