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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

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This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

news

Announcement_000

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Today is the first day for me as a PhD student at Politecnico di Torino under the supervision of Professor Gianluca Setti! 🥳 My focus will be on Low-energy DNNs!🔋🤖

Announcement_001

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It’s ICRA time!🤖 Today I have presented here in Philadelphia my paper “Visual Navigation using Sparse Optical Flow and Time-To-Transit” 📷 written under the supervision of Prof. John Baillieul during my stay at Boston University!🎓

Announcement_002

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Hi from Brixen (BZ)⛰️! I will spend this week at the IEEE/DEI Summer Ph.D. School of Information Engineering “Silvano Pupolin” 🏫 following the Track no.1 about “Machine Learning, Sustainable Edge Computing”🌳📱!

Announcement_003

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First time visiting Asia 🌏! I present today my paper “Aggresively prunable MAM-based Deep Neural Oracle for ECG acquisition by Compressed Sensing” 📝🫀 here in Taiwan!

Announcement_004

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What an unusual birthday🎂! Today I am spending my birthday in Saudi Arabia, visiting KAUST (King Abdullah University of Science and Technology) for the first time since my supervisor decided to move here! 🏝️

Announcement_005

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Second day of CVPR 2023!🍁 Happy to meet the Event-based community in Canada at the Vancouver Convetion Center!💥 Today I will present the paper “Pedro: An Event-based Dataset for Person Detection in Robotics”. Our dataset is freely available on GitHub! 🔓

Announcement_006

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First day in Arizona, first day of MWSCAS!🏜️ I am here to present my paper “Multiply-And-Max/min Neurons at the Edge: Pruned Autoencoder Implementation”!

Announcement_008

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First challenge for me, but we made it to the final!🏆 Our team, the Trashcoders, is leading the CVPR Challenge hosted by the “AIS: Vision, Graphics and AI for Streaming” with more than 25 teams partecipating!🥇 We are invited to the CVPR 2024 for the final stage of the Event-based Eye Tracking Challenge! 👁️👓

Announcement_007

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Do you want to make Vision Transformers super small? Today I am in Abu Dhabi 🐫 to present my paper “Optimizing Vision Transformers: Leveraging Max and Min Operations for Efficient Pruning” at the AICAS conference! 🌴

Announcement_013

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Just submitted 📨 a new version of my paper “On the Universal Approximation Properties of Deep Neural Networks using MAM Neurons” 📐 at the IEEE TPAMI Journal!🤞🏼 Preprint available here!

Announcement_009

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Today is CVPR time, again!👁️ I am in Seattle as a finalist of the Event-based Eye Tracking Challenge! 👓 Check out our new paper that describes how the Challenge went!

Announcement_011

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Today, I am in Milan as a speaker at the TinyML EMEA Innovation Forum!🤌🏼 I will be presenting on how to make Vision Transformers smaller and more energy-efficient!🔋 More info here!

Announcement_010

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After one year we have news from IEEE TNNLS!📰 After a major review, our paper “A Multiply-And-Max/min Neuron Paradigm for Aggressively Prunable Deep Neural Networks” is now under minor review with many positive feedbacks! 🎉 You can find a preprint of this work here!

Announcement_012

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Happy to announce that my paper “Memory in Motion: Exploring Leaky Integration of Time Surfaces for Event-Based Eye-Tracking” is accepted 🔥and I will present it at the BioCAS Conference in XI’an (China) in October! 🐲