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```julia
julia> using KernelFunctions: MaternKernel
julia> k = MaternKernel(ν=5)
Matern Kernel (ν = 5, metric = Distances.Euclidean(0.0))
julia> import ForwardDiff as FD
julia> kx(x,y) = FD…
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## Overall Tasks
1. Find proper magazines/conferences to submit paper; know something about CSMT
2. Summarize the creative points of this project; how to prove that our job is creative
3. Get conta…
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Currently in my experiments with `differential(at: p, in: f)` the following error is thrown:
```
Fatal error: JVP does not exist. Differential-first differentiation APIs are experimental and should …
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Consider the code:
```cpp
#include "clad/Differentiator/Differentiator.h"
#include
#include
using namespace std;
struct C_Super{
vector _jumps;
vector _jumpsValue;
C_Super(v…
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- Functorch = memory blowup due to `vmap`
- Asdl/asdfghjkl = can't backprop through the Jacobians => can't be used for continuous BO
- BackPACK = requires inflexible extension
We need a Jacobian …
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two things to do:
1) handle negative heights. https://en.wikipedia.org/wiki/Tetration#Linear_approximation_for_real_heights has a test case to try.
2) I also haven't tested fractional heights >…
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Thank you for great work, I have some questions in render.py
- Below line, say frustum culled, but in this dictionary is not culled any thing, only filter by radii. frustum culling is did in differ…
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The equation (1) in this [paper](https://arxiv.org/pdf/1611.01144.pdf) gives the equation of a sampler that samples from a categorical distributions. The advantage of this discrete sampler over the ot…
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Hi, thank you for excellent work!
I noticed that the final point cloud is generated from depths of 4 target views.
My concern is that when using depth to generate point clouds, first instinct sho…
ccl-1 updated
2 weeks ago
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Hi,
Firstly thanks for this great library,
Secondly, apologies I am clearly misunderstanding how the filters work for the jacobian and hessian transformations. Here is a MWE of my issue:
```pyt…