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43 papers · 1 filter
Open source software in quantum computing
Mark Fingerhuth, Tomáš Babej, Peter Wittek
Open source software is becoming crucial in the design and testing of quantum algorithms. Many of the tools are backed by major commercial vendors with the goal to make it easier t…
ChainGAN: A sequential approach to GANs
Safwan Hossain, Kiarash Jamali, Yuchen Li +1
We propose a new architecture and training methodology for generative adversarial networks. Current approaches attempt to learn the transformation from a noise sample to a generate…
Improving Skin Condition Classification with a Question Answering Model
Mohamed Akrout, Amir-massoud Farahmand, Tory Jarmain
We present a skin condition classification methodology based on a sequential pipeline of a pre-trained Convolutional Neural Network (CNN) and a Question Answering (QA) model. This…
Evaluating probabilistic programming languages for simulating quantum correlations
Abdul Obeid, Peter D. Bruza, Peter Wittek
This article explores how probabilistic programming can be used to simulate quantum correlations in an EPR experimental setting. Probabilistic programs are based on standard probab…
Legible Normativity for AI Alignment: The Value of Silly Rules
Dylan Hadfield-Menell, McKane Andrus, Gillian K. Hadfield
It has become commonplace to assert that autonomous agents will have to be built to follow human rules of behavior--social norms and laws. But human laws and norms are complex and…
Noise Contrastive Estimation for Scalable Linear Models for One-Class Collaborative Filtering
Ga Wu, Maksims Volkovs, Chee Loong Soon +2
Previous highly scalable one-class collaborative filtering methods such as Projected Linear Recommendation (PLRec) have advocated using fast randomized SVD to embed items into a la…