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Hi there 👋

I am a Research Engineer at DeepL, currently working on Large Language Models.

Before then, I lead research for representation learning on graphs at the Huawei Munich Research Center.

I hold a PhD in Machine Learning from the University of Oxford, funded by an Oxford-Deepmind scholarship. There I studied adversarial examples for deep neural networks and how to evaluate computer vision systems based on sensors-perception, with the goal of finding sounder ways to improve machine learning robustness.

You can find a list of my publications on 🎓Google Scholar.

  • 📫 How to reach me: mail

Giulio Lovisotto's Projects

detectron2 icon detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

memoc icon memoc

stuff for memoc course at unipd

opencv icon opencv

Open Source Computer Vision Library

robust-models-transfer icon robust-models-transfer

Official repository for our NeurIPS 2020 *oral* "Do Adversarially Robust ImageNet Models Transfer Better?"

robustness icon robustness

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

saliency icon saliency

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

yolov3_tensorflow icon yolov3_tensorflow

Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.

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