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View Code? Open in Web Editor NEWICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows
ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows
Thanks for your work, but I have a problem when trying your code, the code is currently not working, specifically executing the command:
python main.py --dataset=mnist --batch_size=100 --epochs=100 --model=hyperbolic --wandb --namestr="MNIST 2-HyperbolicVAE"
Problem AttributeError: type object 'HyperboloidWrappedNormal' has no attribute 'loc'
Is there any configuration in the code that I haven't completed, or is it caused by the wrong environment?
The specific stack information is shown in the following figure:
Hi!
I was wondering if you could point me to the scripts to recreate the results for the graph reconstruction tasks on disease I and II datasets reported in table 3 of your paper. Is it run_diseases_wrapped_flow_sweep.sh for the WHC version?
Thanks in advance!
Hi @joeybose I wonder why do you use u (=data[0]) instead of v (=data[1]) in the logdet calculation?
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