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# Abstract
In recent years, the application of machine learning and deep learning to classical cryptanalysis is an active research field.
In this project, we perform quantum cryptanalysis that combi…
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```julia
using Lux, ComponentArrays, Random, Enzyme
rng = Random.MersenneTwister(1234)
# Define a basic neural network structure
NN = Lux.Chain(Lux.Dense(5 => 5, tanh), Lux.Dense(5 => 1))
#…
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I am having problems to understand deterministic Var Ratios and deterministic BALD acquisition functions... For example, in deterministic BALD, since the neural network is deterministic, is not the mu…
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**Lead:** Wei Ji Leong
**Date:** 21/08/2024
**Start Time:** 0900
**Duration:** 60
**Description:**
Details
### Learning Outcomes
* understanding how to convert ICESat-2 point cloud data into an an…
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I train Neural Network to recognize DFA given accept / not accept strings. It would be nice to have a method that samples random DFA with maximum size N and K strings that are accepted and K strings t…
odats updated
4 years ago
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What method do you think would be best for noising the LSTM?
End of Noisy Network paper seems to suggest that randomization technique from "Bayesian recurrent neural networks" https://arxiv.org/abs/1…
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## Problem Description
I tested different implementations of the PPO algorithm and found some discrepancies among the implementations. I tested each implementation on 56 Atari environments, with fi…
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check out : tests assertion failtues
https://github.com/steckdenis/nnetcpp/issues/2
Unit testing a neural network library is quite difficult. What I do is that I train a small neural network (ba…
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https://arxiv.org/pdf/1611.01232.pdf
We study the behavior of untrained neural networks whose weights and biases are randomly distributed using mean field theory. We show the existence of depth sca…
leo-p updated
7 years ago
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2024.07.22. ~ 2024.08.31. 동안 아래와 같이 학습하여 AI를 체화시키자.
- **일주일에 3개 이상씩 UCI dataset 혹은 plotly에 있는 데이터를 하나 선정하여 classification or regression을 연습할 것**
- 최소 100개의 records가 포함된 dataset
- 모델은 최소 3개 …