On the #BiodiversityDay2025 we are honored to support biodiversity conservation in Madagascar.
Thanks to @TWAS-@Sissa-Lincei fellowship,
@AreaSciencePark and the University of Antananarivo are using AI for monitoring wood exploitation in Madagascar.
📢Are you a scientist whose work can be applied to reach new heights in the study of pathogens? 👩🔬👨💻
The International Conference on Pandemic Preparedness is your unmissable chance to connect in a multidisciplinary network 🤝https://t.co/pp27KHwrHq
1/4 #prpconference2024
It was a great pleasure to deliver a LADE seminar at @AreaSciencePark in #Trieste! Big thanks to Francesca Cuturello and Alessio Ansuini @ansuin for having me here!
https://t.co/lNVCevTzQx
Open expression of interest for two postdoc positions in #cancer#datascience at @AreaSciencePark and @UniTS on a joint project led by @gcaravagna and me.
Join us to develop cool computational methods for single-cell and long-read data!
More info👉 https://t.co/oSTJ8jISgM
Great opportunity last week to teach at the PhD Summer School on self-supervised learning @DTU_compute
We discussed how we use geometry to understand LLMs representations with @ansuin
Thanks @Tweetteresearch for the invite
Slides coming soon😊
#beyondreductionism
We increase protein family annotation of the Unified Human Gastrointestinal Proteome (UHGP) using DPCfam clustering.
Nice effort by our PhD Federico Barone @areasciencepark, @elena_tea @ansuin and great collaboration with Marco Punta @CosrLab
Preprint: https://t.co/yT3Bb2kz3a
We increase protein family annotation of the Unified Human Gastrointestinal Proteome (UHGP) using DPCfam clustering.
Nice effort by our PhD Federico Barone @areasciencepark, @elena_tea @ansuin and great collaboration with Marco Punta @CosrLab
Preprint: https://t.co/yT3Bb2kz3a
Less than 3 days left to join us!
If you are a data engineer and you have a crush for challenging scientific problems you can't lose this opportunity!
https://t.co/g8WuekyGGR
We are building an AI-powered Large Research Infrastructure, and we need Data Engineers to make it real.
Deadline is approaching!!!
https://t.co/g8WuekyGGR
See you at @workshopMLSB to discuss our work “The geometry of hidden representations of protein language models”.
Great collaboration with @lucrevaleriani, Francesca Cuturello, @ansuin at @AreaSciencePark!
https://t.co/JsvEXlwFTk
👇Summary below
Call for papers❗️
Special session “Pruning in Artificial Neural Networks” @ DeLTA 2022 (12-14 July 2022)
Deadline for paper submission is May 19th!
More details here 👉 https://t.co/1MzqIDhhaJ
#jobopportunity One research scholarship for machine learning with a new approach on Industrial datasets!
Deadline approaching: Thursday 10.03 (still 48 hours!)
https://t.co/bXly4Or0vD
Fantastic job opportunity in Area Science Park (Trieste, ITALY)!
Permanent position as a Research Technologist to manage our HPC infrastructure.
Apply here: https://t.co/j4VlkzIJKg
Contacts:
[email protected][email protected]#jobopportunity
@UriCohen42@jakhmack Maybe a test would be to repeat the same analysis on artificially generated data with complex and controllable symmetries (we were close to obtaining one, on the other hand the artificial dataset we used in the paper was too small to do such tests properly.)
@UriCohen42@jakhmack We cannot say that this really explains what is observed in ImageNet, that has much more complex features than MNIST (such as textures, pose, etc...), but we think this mechanism may be at work also there.
@UriCohen42@jakhmack We thought that, in getting rid of the irrelevant feature,
the network produced representations, in the first layers,
in which the relevant features emerged more prominently,
and this resulted in an increase of their intrinsic dimension.