- 👋 Hi, I’m @matteo-rizzo
- 👀 I’m interested in AI explainability and industrial applications
- 🌱 I’m currently learning as a PhD student at Ca'Foscari University (Venice, Italy)
- 💞️ I’m looking to collaborate on theoretical notions of explainability
- 📫 How to reach me: matteo.rizzo.phd@gmail.com
🐱
Ph.D. in CS @ Ca' Foscari, Venice
~ Working on XAI and bringing AI into production :)
-
Ca' Foscari - @mirai-srl
- Venezia
-
16:08
(UTC +02:00) - https://matteo-rizzo.github.io/
- https://orcid.org/0000-0002-9723-211X
- in/matteo-rizzo
Pinned Loading
-
fc4-pytorch
fc4-pytorch PublicA PyTorch implementation of FC4: Fully Convolutional Color Constancy with Confidence-weighted Pooling
-
canary-for-cognition/multimodal-dl-framework
canary-for-cognition/multimodal-dl-framework PublicAn extensible PyTorch framework to experiment with neural-networks-based deep learning algorithms on multiple data modalities for binary classification.
-
saliency-faithfulness-eval
saliency-faithfulness-eval PublicA suite of tests to assess attention faithfulness for explainability
-
manually-verified-reentrancy-dataset
manually-verified-reentrancy-dataset PublicA repository of manually verified Solidity smart contracts, either safe or reentrant
Solidity 4
-
advanced-llm-prompting-for-reentrancy
advanced-llm-prompting-for-reentrancy PublicAn advanced prompting framework for detecting reentrancy in Solidity smart contracts.
Jupyter Notebook 2
Something went wrong, please refresh the page to try again.
If the problem persists, check the GitHub status page or contact support.
If the problem persists, check the GitHub status page or contact support.