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+Results folder.
+
+Figs and text results of experiments saved here.
+
+During training, real-time results can be displayed via [tensorboard](https://www.tensorflow.org/tensorboard):
+
+```powershell
+tensorboard --logdir=/results/log/tensorboard/<tb_log_exp_name>
+```
+
+Logs of hyper-parameter tuning runs are found in `/log` and can similarly be displayed ([RayTune docs](https://docs.ray.io/en/latest/tune/user-guide.html#tune-logging)).
+
+## Reproducibility Instructions
+
+To run all experiments from the paper:
+
+- Main results
+
+    ```posh
+    uv run main.py --domain_shift "hospital"
+    uv run main.py --domain_shift "region"
+    uv run main.py --domain_shift "ward"
+    uv run main.py --domain_shift "ethnicity"
+    uv run main.py --domain_shift "ethnicity_coarse"
+    uv run main.py --domain_shift "age"
+    ```
+
+- Alternative outcome definitions:
+
+    ```posh
+    uv run main.py --outcome "Shock_4h"
+    uv run main.py --outcome "Shock_12h"
+    uv run main.py --outcome "ARF_4h"
+    uv run main.py --outcome "ARF_12h"
+    ```
+
+- Additional sequential models:
+
+    ```posh
+    uv run main.py --models "RNN" "GRU" "LSTM"
+    ```
+
+- Regularization experiments:
+
+    ```posh
+    uv run main.py --dropout
+    ```
+
+- Class incremental experiments:
+
+    ```posh
+    uv run main.py --class_shift
+    ```