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For discrete MPC, use averaging?
- [x] ~try with the nonlinear version of the thrust/strokedev model~
- [x] ~`flapping mpc.nb` file in mathematica write out the cts dynamics~
- [x] find averageable…
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I am listing a few things that would improve the performance and consistency of the code:
1. Use `torch` functions and tensors for as many things as possible, including model averaging. Reduce the …
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What is the best way to implement model ensembling per time step in Tensorflow? Models are ensembled by averaging the output probabilities at each decoding step. Is there a way to do this using `raw_r…
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Hey there,
firstly, thanks for the nice work!
I am attempting to reproduce the results from the paper. I re-ran the experiments with 10 seeds (averaging the results). However, I am only reproduc…
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Add descriptions to the Parameters Appendix for Deep Learning parameters:
pretrained_autoencoder
overwrite_with_best_model
hidden
epochs
train_samples_per_iteration
target_ratio_comm_to_comp
…
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Thanks for your brilliant work!
I have some questions about the implementation.
1.
According to the configuration files and preprocessing code, the input image intensity is rescaled to the ran…
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Topics could include:
- Bayesian model selection
- Bayesian model averaging
- Stepwise regression vs likelihood ratio tests
- Diagnostics for glms and other models where the residuals are expecte…
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Congratulations on such remarkable results that surpass VVC!
I ran the test code with the pre-trained model you provided and I reproduced the results you reported in the paper.
Unluckily, when I…
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The idea is to create a generic assembly, or a special type of assembly / component, that can do model aggregation. Several models that have similar I/Os for similar purpose would be able to be run in…
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Estimation model
- a model where we set ground truth on occupancy by averaging fewer people's response on how crowded the location is
- this model requires less people for the app to provide some v…