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Nicola Bernini

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Nicola Bernini

Uniswap V3 — Deep Dive — Part 1

Bridging the gap between the White Paper and the Solidity Code

3 min readJan 9, 2022

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Uniswap V3 — Deep Dive — Part 1

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Pinned

Nicola Bernini
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Towards Data Science

Why VAE are likelihood-based generative models

Generative Models are powerful tools to learn to generate realistic data samples from existing data

6 min readOct 25, 2020

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Why VAE are likelihood-based generative models

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Nicola Bernini
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Ethereum Virtual Machine Walkthrough

A walkthrough of EVM — Part 1 of N

In this series of posts I am going to present some code snippets in EVM Assembly and to explain how they work

3 min readAug 14, 2021

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A walkthrough of EVM — Part 1 of N

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Nicola Bernini
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Discussing Deep Learning

Paper Exaplained — Discovering Symbolic Models from Deep Learning with Inductive Biases

Original Paper

3 min readJul 10, 2020

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Paper Exaplained — Discovering Symbolic Models from Deep Learning with Inductive Biases

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Nicola Bernini

FactorVAE Explained

Reading through the paper, understanding the key aspects while catching the details

2 min readJun 6, 2020

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FactorVAE Explained

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Nicola Bernini
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Discussing Deep Learning

A Paper in 5 mins — FactorVAE

Learning a disentangled representation is more or less like learning a “code” where each digit represents a specific “factor of variance”…

4 min readMay 29, 2020

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A Paper in 5 mins — FactorVAE

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Nicola Bernini

Navigating a Paper — VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation

Understanding and Summarizing the following

1 min readMay 25, 2020

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Navigating a Paper — VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation

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Nicola Bernini

Paper Anatomy — FactorVAE (Part 1)

Explaining this paper from ICML 2018

5 min readMay 23, 2020

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Paper Anatomy — FactorVAE (Part 1)

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Nicola Bernini

Adaptive Stress Testing — Part 1

Introduction

5 min readJan 25, 2020

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Adaptive Stress Testing — Part 1

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Nicola Bernini
in
Discussing Deep Learning

Keras in depth tutorial — CNN and MNIST

This is the Part 1 of a series of in depth tutorials about Keras Framework: it is not just focused on the how-to but more on the why and…

1 min readJun 28, 2019

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Keras in depth tutorial — CNN and MNIST

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Nicola Bernini

Nicola Bernini

Machine Learning PhD, Physicist. Mainly interested in Deep Learning, Functional Programming. https://github.com/NicolaBernini

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