Main Works
A collection of highly interesting projects I contributed to.
William Cappelletti
About me
I am a Mathematical Engineer specialized in Machine Learning.
I am currently working as a Junior ML Engineer at Visium.
I graduated at EPFL with a Master Thesis on “Byzantine-robust decentralized
optimization”, in the MLO lab.
I have a dynamic personality and a wide variety of interests.
I am passionate about Algorithms, Statistical learning and Artificial
intelligence.
In my free time, I practice skiing, trail running, and rock climbing.
Featured works
-
Byzantine-robust decentralized optimization for Machine Learning
MSc thesis, SGD, decentralized optim., ML
Study on the convergence properties of decentralized SGD variants designed to defend against adversarial attacks -
Polyadic Quantum Classifier
Paper, QML, VQA, NISQ, classification
We introduce a supervised quantum machine learning algorithm for classification on Noisy Intermediate-Scale Quantum architectures. -
Polyadic QML package
Python, quantum, QML, VQA, classification
Python package to define, train and deploy Quantum Machine Learning models through an easy interface. -
Convolutional Neural Tangent Kernel
NTK, Neural Nets, CNN, Kernel regression
In this semester project, I study the relation between artificial neural networks and kernel regression. -
On the volume of zonotopes
Convex Geometry, Zonotopes, Projections, Volume maximization
Study properties of a projection of an hypercube into a smaller space and prove necessary conditions...
Thanks for visting
Do not esistate to contact me.
Until next time!