-
While Gaussian models are flexible and tractable, real data often exhibits noise with heavier tails than Gaussian. A popular model for robust estimation is Student's t distribution, e.g. as used in Sl…
-
I want to try and use `diffrax` to simulate some correlated ("directional") noise in a 3D oscillator i.e. solving the following SDEs
2. Apply noise filtering/reduction on test data, then run inference on that with the n…
yairl updated
3 months ago
-
Hello, I am having an issue in using mpiexec to distribute the training.
It seems that I can run training on a single GPU using the following parameters:
`MODEL_FLAGS="--image_size 256 --num_cha…
-
I am using sdeint as it is shown in the 2nd example. So multi-dimensional independent driving Wiener processes. Is it possible to save the noise for every dimension/timestep?
-
Hello, thanks for developing a really nice tool!
I've ran cellbender remove-background with no issues on multiome data while keeping both Gene Expression and Peaks features. However, I'm currently…
-
I'm getting a OOM running the
```bash
python enhance_a_video.py \
--version v2 \
--up_scale 4 --target_fps 24 --noise_aug 250 \
--solver_mode 'fast' --steps 15 \
--input_path 'prompts/' \
--p…
-
Optimization of noise (`sigma_n`, `sigma_p`) and of the number of basis functions (`order`).
Similar to `optimize` for Gaussian Processes.
Good Summary: http://krasserm.github.io/2019/02/23/bayesi…
-
The provided datasets have four variants, each serving a specific purpose, and contain a `text_description` as described below E.g gov:
1. **syntheticDocQA_government_reports_test** – **No text_des…
-
I got a couple of requests about the speed of MultiModel. It seems that for a larger network it is painfully slow. I suspect a couple of things:
- `jitcdde` compilation for large networks - but `numb…