Petar Veličković
@petar-v.bsky.social
Senior Staff Research Scientist, Google DeepMind
Affiliated Lecturer, University of Cambridge
Associate, Clare Hall
GDL Scholar, ELLIS @ellis.eu
🇷🇸🇲🇪🇧🇦
Affiliated Lecturer, University of Cambridge
Associate, Clare Hall
GDL Scholar, ELLIS @ellis.eu
🇷🇸🇲🇪🇧🇦
You may read this chapter in the usual place:
geometricdeeplearning.com/book/ 📖
Any and all feedback / thoughts / questions on the content... words of encouragement for finishing this book (pretty please! 😇) warmly welcomed!
@mmbronstein.bsky.social @joanbruna.bsky.social @taco-cohen.bsky.social
geometricdeeplearning.com/book/ 📖
Any and all feedback / thoughts / questions on the content... words of encouragement for finishing this book (pretty please! 😇) warmly welcomed!
@mmbronstein.bsky.social @joanbruna.bsky.social @taco-cohen.bsky.social
June 20, 2025 at 5:05 PM
You may read this chapter in the usual place:
geometricdeeplearning.com/book/ 📖
Any and all feedback / thoughts / questions on the content... words of encouragement for finishing this book (pretty please! 😇) warmly welcomed!
@mmbronstein.bsky.social @joanbruna.bsky.social @taco-cohen.bsky.social
geometricdeeplearning.com/book/ 📖
Any and all feedback / thoughts / questions on the content... words of encouragement for finishing this book (pretty please! 😇) warmly welcomed!
@mmbronstein.bsky.social @joanbruna.bsky.social @taco-cohen.bsky.social
...but our model regressed on Quickselect rather than improving it, so I'm indeed curious to explore what you've done differently :)
May 26, 2025 at 1:58 PM
...but our model regressed on Quickselect rather than improving it, so I'm indeed curious to explore what you've done differently :)
Cool stuff! Will give it a read.
We also built a 'fully tropical' GNN following similar principles a few years back (from
the perspective of asynchrony invariance), might be a good reference:
arxiv.org/abs/2306.15632
We also built a 'fully tropical' GNN following similar principles a few years back (from
the perspective of asynchrony invariance), might be a good reference:
arxiv.org/abs/2306.15632
May 26, 2025 at 1:53 PM
Cool stuff! Will give it a read.
We also built a 'fully tropical' GNN following similar principles a few years back (from
the perspective of asynchrony invariance), might be a good reference:
arxiv.org/abs/2306.15632
We also built a 'fully tropical' GNN following similar principles a few years back (from
the perspective of asynchrony invariance), might be a good reference:
arxiv.org/abs/2306.15632
I would say it definitely does! The book does rely on theoretical material but is designed to be a self-contained, deep learning-oriented introduction to those topics.
So if you read the chapters in sequence it _should_ be just fine :)
(would appreciate any feedback if you do try it!)
So if you read the chapters in sequence it _should_ be just fine :)
(would appreciate any feedback if you do try it!)
April 29, 2025 at 6:51 AM
I would say it definitely does! The book does rely on theoretical material but is designed to be a self-contained, deep learning-oriented introduction to those topics.
So if you read the chapters in sequence it _should_ be just fine :)
(would appreciate any feedback if you do try it!)
So if you read the chapters in sequence it _should_ be just fine :)
(would appreciate any feedback if you do try it!)
GDL Book
Grids, Groups, Graphs, Geodesics, and Gauges
geometricdeeplearning.com
April 29, 2025 at 12:01 AM
Seminar details + join instructions here:
www.cst.cam.ac.uk/seminars/lis...
Hope to see many of you there!
www.cst.cam.ac.uk/seminars/lis...
Hope to see many of you there!
Probabilistic weather forecasting with machine learning | Department of Computer Science and Technology
Abstract: Leading up to 2024, rapid advances in machine learning (ML)-based weather prediction (MLWP) had produced ML-based models which exhibit less forecast error than single NWP simulations.
www.cst.cam.ac.uk
February 14, 2025 at 1:27 PM
Seminar details + join instructions here:
www.cst.cam.ac.uk/seminars/lis...
Hope to see many of you there!
www.cst.cam.ac.uk/seminars/lis...
Hope to see many of you there!
It's been great working on this with Alex, @joao.omg.lol and Marc on this over the past couple of months!
We don't believe we solved the problems studied here -- mainly brought them to attention -- and we welcome any and all comments!
Read our work on the arXiv:
arxiv.org/abs/2502.06751
We don't believe we solved the problems studied here -- mainly brought them to attention -- and we welcome any and all comments!
Read our work on the arXiv:
arxiv.org/abs/2502.06751
What makes a good feedforward computational graph?
As implied by the plethora of literature on graph rewiring, the choice of computational graph employed by a neural network can make a significant impact on its downstream performance. Certain effects ...
arxiv.org
February 11, 2025 at 10:12 AM
It's been great working on this with Alex, @joao.omg.lol and Marc on this over the past couple of months!
We don't believe we solved the problems studied here -- mainly brought them to attention -- and we welcome any and all comments!
Read our work on the arXiv:
arxiv.org/abs/2502.06751
We don't believe we solved the problems studied here -- mainly brought them to attention -- and we welcome any and all comments!
Read our work on the arXiv:
arxiv.org/abs/2502.06751
Application forms should open early 2025 :)
December 19, 2024 at 10:22 AM
Application forms should open early 2025 :)
