Maria Sofia Bucarelli
mariasofiab.bsky.social
Maria Sofia Bucarelli
@mariasofiab.bsky.social
👩‍🎓Postdoc Sapienza, Rome — PhD at Sapienza, Rome
Previously Intern at Amazon Search, Lux — Visiting at Cambridge
Reposted by Maria Sofia Bucarelli
Will present this at #CVPR ✈️ See you in Nashville 🇺🇸!

Kudos to the team 👏
Antonio A. Gargiulo, @mariasofiab.bsky.social, @sscardapane.bsky.social, Fabrizio Silvestri, Emanuele Rodolà.
📢Prepend “Singular” to “Task Vectors” and get +15% average accuracy for free!

1. Perform a low-rank approximation of layer-wise task vectors.

2. Minimize task interference by orthogonalizing inter-task singular vectors.

🧵(1/6)
March 11, 2025 at 8:02 AM
🚀Call for Submissions – @ai4coolerplanet.bsky.social

Excited to announce the AI for a Cooler Planet workshop @ IJCNN 2025 in Rome
📅Submission Deadline: March 20, 2025

Topics include:
🌱 Climate Predictability, Physics-Informed ML, Weather Forecasting & more!
🔗 sites.google.com/view/ai4cool...
February 20, 2025 at 3:25 PM
Reposted by Maria Sofia Bucarelli
"Task Singular Vectors: Reducing Task Interference in Model Merging" by Antonio Andrea Gargiulo, @crisostomi.bsky.social , @mariasofiab.bsky.social , @sscardapane.bsky.social, Fabrizio Silvestri, Emanuele Rodolà

Paper: arxiv.org/abs/2412.00081
Code: github.com/AntoAndGar/t...

#machinelearning
January 15, 2025 at 9:36 AM
Reposted by Maria Sofia Bucarelli
Don’t miss out on these insights and more — check out the paper!

📄 Preprint → arxiv.org/abs/2412.00081

💻 Code → github.com/AntoAndGar/t...

Joint work w/ Antonio A. Gargiulo, @mariasofiab.bsky.social, @sscardapane.bsky.social, Fabrizio Silvestri, Emanuele Rodolà.

(6/6)
Task Singular Vectors: Reducing Task Interference in Model Merging
Task Arithmetic has emerged as a simple yet effective method to merge models without additional training. However, by treating entire networks as flat parameter vectors, it overlooks key structural in...
arxiv.org
January 8, 2025 at 7:00 PM
Reposted by Maria Sofia Bucarelli
📢Prepend “Singular” to “Task Vectors” and get +15% average accuracy for free!

1. Perform a low-rank approximation of layer-wise task vectors.

2. Minimize task interference by orthogonalizing inter-task singular vectors.

🧵(1/6)
January 8, 2025 at 7:00 PM
🚀Calling ML on Graphs Enthusiasts! I'm co-organizign a Competition on Learning with Noisy Graph Labels at IJCNN 2025.
Submissions are now open sites.google.com/view/learnin...

Submission Deadline: 10/02/2025

We can’t wait to see your creative approaches and groundbreaking ideas.✨
Sign in - Google Accounts
sites.google.com
December 23, 2024 at 4:10 PM