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Our README specifies two commands for running our ETL process.
Currently, they are:
```
./arxiv_as_a_newspaper -run-etl-process
```
and
```
./arxiv_as_a_newspaper -write-etl-results-to-file …
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I'm currently working on a project that requires deep learning inference with Tensorflow's C API. I have a trained neural net (format: frozen graph) to do this. We use the inference for Computational …
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Hello, I'm trying to re-implement the part of the paper about modeling an inhomogeneous Poisson process, however I don't see how the compensator (negative part of the likelihood) can be computed "in a…
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Currently, models are trained per-timestep, i.e. one batch instance is one timestep. Hence explicitly they learn to optimize the output per-timestep, but not the conditional dependence of timesteps wi…
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Following your work on causal convolution and a few issues mentioning the subject, I started to dig in a bit on it and it looks like a very good research direction.
I have gained my understanding o…
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when i use loadTimeLimits, preprocessing ends extremely fast, and mostly with errors- because no spikes are detected.
when i use it with the calculated number of samples it does not crash. so i think…
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Quantify if the rapid change of neural dynamics around merge is elastic or more binary-like....
Maybe consider using different number of factor to fit the data around that time points
In other…
zqwei updated
5 years ago
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Add state-space models, in discrete form:
```
x(k+1) = A * x(k) + B * u(k)
y(k) = C * x(k) + D * u(k)
```
in where:
x(k) - internal state vector at timestamp k
u(k) - input vector at times…
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Hi, I'm trying to play with Neural ODEs and do some reimplementations in Tensorflow.
I was able to implement basic solver which works with the spiral problem in your examples.
However, I got stuck…
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**System information**
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): CentOS Linux release 7.6.1810 (Core)
- Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue happens o…