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over the years, a bunch of papers have been published at MLO and around which might help DISCO one way or the other. here goes a list of the ones we spoke about. it is still up for debate which we act…
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Develop a hybrid attack decision-making system for agents that combines a Q-learning neural network (QNN) and rule-based constraints. This system will allow agents to dynamically decide between aggres…
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https://arxiv.org/abs/1703.02702.pdf
TMats updated
6 years ago
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**Is your feature request related to a problem? Please describe.**
The Quantum Circuit Probability Predictor is a machine learning-based application designed to predict the probability of measuring a…
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[Graph contrastive learning with augmentations](https://proceedings.neurips.cc/paper_files/paper/2020/hash/3fe230348e9a12c13120749e3f9fa4cd-Abstract.html)
```bib
@article{you2020graph,
title={Gra…
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@tdhock
Here's another proposed idea, inspired by the paper "Automatic Change-Point Detection in Time Series via Deep Learning." I’ve broken down the steps and outlined a potential novel method. I'll…
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**Submitting author:** @nic-barbara (Nicholas Barbara)
**Repository:** https://github.com/acfr/RobustNeuralNetworks.jl
**Branch with paper.md** (empty if default branch): paper
**Version:** v0.3.2
**E…
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In data analysis and machine learning code, many checks/asserts are in code base themselves (e.g., data validation, data leakage, etc) and there might not be tests for these exceptions in the test sui…
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The primary objective of this project is to develop a robust book recommendation system that suggests titles to users based on their preferences, ratings, and reviews. Effective recommendation systems…
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https://arxiv.org/abs/1707.04175
- Yee Whye Teh, Victor Bapst, Wojciech Marian Czarnecki, John Quan, James Kirkpatrick, Raia Hadsell, Nicolas Heess, Razvan Pascanu
- Submitted on 13 Jul 2017
TMats updated
6 years ago