Matteo Tiezzi
@mtiezzi.bsky.social
PostDoc Researcher @ IIT, Continual and Lifelong Learning -> Robots, Graph Neural Networks, Sequence Processing | CoLLAs 2024 Local Chair
🏠 mtiezzi.github.io
🏠 mtiezzi.github.io
🚨 Survey Alert 🚨
Our paper "Back to recurrent processing at the crossroad of transformers and state-space models" is out in Nature Machine Intelligence!
🔗 www.nature.com/articles/s42...
Read it here: rdcu.be/el85K
#Mamba #SSMs #Transformers #LLMs
Our paper "Back to recurrent processing at the crossroad of transformers and state-space models" is out in Nature Machine Intelligence!
🔗 www.nature.com/articles/s42...
Read it here: rdcu.be/el85K
#Mamba #SSMs #Transformers #LLMs
Back to recurrent processing at the crossroad of transformers and state-space models - Nature Machine Intelligence
While transformers and large language models excel at efficiently processing long sequences, new approaches have been proposed that incorporate recurrence to overcome the quadratic cost of self-attent...
www.nature.com
May 15, 2025 at 11:26 PM
🚨 Survey Alert 🚨
Our paper "Back to recurrent processing at the crossroad of transformers and state-space models" is out in Nature Machine Intelligence!
🔗 www.nature.com/articles/s42...
Read it here: rdcu.be/el85K
#Mamba #SSMs #Transformers #LLMs
Our paper "Back to recurrent processing at the crossroad of transformers and state-space models" is out in Nature Machine Intelligence!
🔗 www.nature.com/articles/s42...
Read it here: rdcu.be/el85K
#Mamba #SSMs #Transformers #LLMs
@collasconf.bsky.social The #CoLLAs 2024 proceedings of our paper "Memory Head for Pre-Trained Backbones in Continual Learning" are out:
proceedings.mlr.press/v274/tiezzi2...
Video: lifelong-ml.cc/Conferences/...
🖥 Memory Head Code repository: github.com/sailab-code/...
A thread🧵
proceedings.mlr.press/v274/tiezzi2...
Video: lifelong-ml.cc/Conferences/...
🖥 Memory Head Code repository: github.com/sailab-code/...
A thread🧵
Memory Head for Pre-Trained Backbones in Continual Learning
This paper is focused on the role of classification heads for pre-trained backbones in the context of continual learning. A novel neuron model is proposed as basic constituent of what we refer to a...
proceedings.mlr.press
February 19, 2025 at 2:27 PM
@collasconf.bsky.social The #CoLLAs 2024 proceedings of our paper "Memory Head for Pre-Trained Backbones in Continual Learning" are out:
proceedings.mlr.press/v274/tiezzi2...
Video: lifelong-ml.cc/Conferences/...
🖥 Memory Head Code repository: github.com/sailab-code/...
A thread🧵
proceedings.mlr.press/v274/tiezzi2...
Video: lifelong-ml.cc/Conferences/...
🖥 Memory Head Code repository: github.com/sailab-code/...
A thread🧵
Reposted by Matteo Tiezzi
🌟 Best of Both Worlds!
❓Have you ever wondered why hybrid models (RNN + Transformers) are powerful? We answer this through the lens of circuit complexity and graphs!
Excited to share our work on understanding Graph Sequence Models (GSM), which allows the use of any sequence model for graphs.
❓Have you ever wondered why hybrid models (RNN + Transformers) are powerful? We answer this through the lens of circuit complexity and graphs!
Excited to share our work on understanding Graph Sequence Models (GSM), which allows the use of any sequence model for graphs.
December 3, 2024 at 9:57 PM
🌟 Best of Both Worlds!
❓Have you ever wondered why hybrid models (RNN + Transformers) are powerful? We answer this through the lens of circuit complexity and graphs!
Excited to share our work on understanding Graph Sequence Models (GSM), which allows the use of any sequence model for graphs.
❓Have you ever wondered why hybrid models (RNN + Transformers) are powerful? We answer this through the lens of circuit complexity and graphs!
Excited to share our work on understanding Graph Sequence Models (GSM), which allows the use of any sequence model for graphs.
🐱 Learning Over Time (LOT) Spring School
📅 24-27 March 2025 | 📍 Siena, Italy
💡 Are you considering models that continuously adapt over time instead of learning "offline" from pre-designed-huge collections of data? 🚀
🔗 sites.google.com/unisi.it/lot...
#ContinualLearning #CL #LifelongLearning
📅 24-27 March 2025 | 📍 Siena, Italy
💡 Are you considering models that continuously adapt over time instead of learning "offline" from pre-designed-huge collections of data? 🚀
🔗 sites.google.com/unisi.it/lot...
#ContinualLearning #CL #LifelongLearning
LOT Spring School
Topics
sites.google.com
December 26, 2024 at 2:39 PM
🐱 Learning Over Time (LOT) Spring School
📅 24-27 March 2025 | 📍 Siena, Italy
💡 Are you considering models that continuously adapt over time instead of learning "offline" from pre-designed-huge collections of data? 🚀
🔗 sites.google.com/unisi.it/lot...
#ContinualLearning #CL #LifelongLearning
📅 24-27 March 2025 | 📍 Siena, Italy
💡 Are you considering models that continuously adapt over time instead of learning "offline" from pre-designed-huge collections of data? 🚀
🔗 sites.google.com/unisi.it/lot...
#ContinualLearning #CL #LifelongLearning
Reposted by Matteo Tiezzi
🌟 GLOW is coming back in December with amazing speakers: Emily Jin and @joshsouthern.bsky.social !
🗓️ Dec 18th @ 17 CET on Zoom, don't miss that!
🌐 Find more here: sites.google.com/view/graph-l...
🗓️ Dec 18th @ 17 CET on Zoom, don't miss that!
🌐 Find more here: sites.google.com/view/graph-l...
December 3, 2024 at 4:32 PM
🌟 GLOW is coming back in December with amazing speakers: Emily Jin and @joshsouthern.bsky.social !
🗓️ Dec 18th @ 17 CET on Zoom, don't miss that!
🌐 Find more here: sites.google.com/view/graph-l...
🗓️ Dec 18th @ 17 CET on Zoom, don't miss that!
🌐 Find more here: sites.google.com/view/graph-l...
Reposted by Matteo Tiezzi
Join this year's last edition of Graph Learning on Wednesdays (GLOW) tomorrow at 5pm CET!
🌟 GLOW is coming back in December with amazing speakers: Emily Jin and @joshsouthern.bsky.social !
🗓️ Dec 18th @ 17 CET on Zoom, don't miss that!
🌐 Find more here: sites.google.com/view/graph-l...
🗓️ Dec 18th @ 17 CET on Zoom, don't miss that!
🌐 Find more here: sites.google.com/view/graph-l...
December 17, 2024 at 1:49 PM
Join this year's last edition of Graph Learning on Wednesdays (GLOW) tomorrow at 5pm CET!
Reposted by Matteo Tiezzi
Here is an initial starter pack list on Machine Learning on Graphs: go.bsky.app/HN2MTzp
Machine Learning on Graphs
Join the conversation
go.bsky.app
November 16, 2024 at 1:09 AM
Here is an initial starter pack list on Machine Learning on Graphs: go.bsky.app/HN2MTzp
Starter pack for people in Lifelong and Continual Learning ✍️
I created a starter pack of folks working on lifelong or continual learning. It's quite sparse, so if you know anybody else who's around (or want to be added yourself) please reply below.
go.bsky.app/QXGY1iT
go.bsky.app/QXGY1iT
December 8, 2024 at 1:45 AM
Starter pack for people in Lifelong and Continual Learning ✍️
@logconference.bsky.social #LOG meetup with @federico-errica.bsky.social open talk on "What is going on with oversmoothing, oversquashing, and underreaching?"
December 6, 2024 at 1:07 PM
@logconference.bsky.social #LOG meetup with @federico-errica.bsky.social open talk on "What is going on with oversmoothing, oversquashing, and underreaching?"
