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I am trying to implement synapses with an exponential form, instead of using ODEs. These typically are described as a synaptic response convolved with a train of delta functions representing presynapt…
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It would be very nice to extend the current functionality to truncated distributions. I already started a proof of concept in truncate branch. This proof of concept covers all the univariate distribut…
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Currently when calculating composite scores in `calculate_composite_score()`, normalised ranks are not [exponentially transformed](https://docs.google.com/document/d/1aWpzgvLKGEF5Ay_xVps17nnbT1zIEki7R…
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Would be great to get exponential backoff built into our client such that any requests which return 5xx errors get retried automatically -- this would improve client app stability as any bad requests …
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Add an algorithm used to space out repeated retries
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Code review of the exponential mechanism revealed problems and weaknesses, and needs revision.
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### Component(s)
processor/deltatocumulative
### What happened?
## Description
Currently size of an individual histogram is unbounded and can grow until OOM is reached.
This is prominent if an ap…
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https://programming-dp.com/ch9.html#the-exponential-mechanism
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Hi! I was wondering which classes/functions should be used to map, for example, a BERT embedding to the hyperbolic space (using the Poincaré ball model). In the paper it is mentioned that you use an …
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#fixed as follows
def plot_probabilities(self, dataframe, name, exponential):
"""
Sets chart parameters, generates the chart, and saves it.
dataframe: dataf…