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A wide variety of problems in scientific computing and data analysis need to compute accurate shortest paths and distances along curved domains (e.g., curved surfaces representing the boundary of thre…
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Hi,
Thank you for amazing Repo. Is there an example which shows how to work with given code when the input and Target has dimensions like [NxM] where N is features and M number of samples. I checked …
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Hi team,
I am considering implementing in GPflow the following paper as a start to multi-output GPs:
https://papers.nips.cc/paper/3189-multi-task-gaussian-process-prediction.pdf
It's a kronecker pro…
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For `KroneckerLazyVariable`, which you can easily get exact inverse and root, why you still go for conjugate gradient & lanczos ? These seems be slower to me cuz the true size of matrix is really big,…
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A number of tasks like co-kriging, derivative observations, and Bayesian quadrature involve two (or more) GPs with different kernels. Often, there's some covariance structure between observations from…
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Opening this here to get thoughts on the best design for integrating [Blitzkriging](http://arxiv.org/abs/1510.07965) into GPflow - I have the tensorflow ops in place to get it all working but would ap…
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Hi,
I can reproduce this problem with a python file containing only one line:
import tensorflow
obviously you need tensorflow installed. just start it two times from spyder3 ide and it wil…
dsmic updated
5 years ago
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Currently, outputs are defined as linear combination of states and inputs. States and inputs are canonically amounts of substance, so no linear combination will produce concentrations. Because compart…
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Hello,
is it possible to extend spartns to complex matrices ?
thanks,
Fausto
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Hello,
I've been trying to implement an LMC (e.g. equations 18-20 in https://arxiv.org/abs/1106.6251 -Kernels for Vector-Valued Functions: a Review), but I'm having trouble specifying multiple latent…