PyTorch Geometric Temporal received a Best Paper Nomination at CIKM 2021. Special thanks to Paul Scherer, Yixuan He, George Panagopoulos, Maria Astefanoaei, Olivér Kiss, Ferenc Beres, Nico Collignon, Rik Sarkar. Paper: bit.ly/3jDgyOa Git: bit.ly/3EknBTw

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New paper "Heavy-tailed denoising score matching" arxiv.org/abs/2112.09788 with Nikola Simidjievski and Pietro Lio' is out! We extend DSM beyond Gaussian noise to improve generative performance, avoid class imbalances, and motivate Lévy process diffusion!

JAXopt v0.3 has been released! New features: LBFGS, nonlinear conjugate gradient, and Gauss-Newton algorithm! github.com/google/jaxopt

Very nicely written, accessible, and concise survey on GRL for Biomedicine by Michelle M. Li (李敏蕊), Kexin Huang, and Marinka Zitnik . Presents a number of cool avenues for further research if you are early in your PhD or looking to start a new project. arxiv.org/abs/2104.04883

Announcing the 2022 NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems! Please consider submitting a 4-page extended abstract by September 22nd! gp-seminar-series.github.io/neurips-2022/ Thanks to amazing organizers @gpleiss, Elizaveta Semenova @[email protected], Zi Wang, Ph.D.

A new technique keeps cells alive during extraction to track the activity of thousands of genes across time. The breakthrough method is called Live-seq and was jointly developed by scientists at EPFL Life Sciences and ETH Zurich actu.epfl.ch/news/live-seq-…

I’m thrilled to announce that Carbon Re has raised a $4.8m seed round! We’ve been sitting on this news for a while to sort out all the legal bits, but we can finally share it around 🚀 It will help us grow the team, serve more customers, and kickstart an AI research group! 1/🧵

Reading the appendix of an ML paper...

I will be at NeurIPS from Monday onwards and would love to meet as many people as possible. If you are around and want to chat about anything, please DM/e-mail/etc.

Check out our new blog post summarising key advances in Temporal Graph Learning over the last 12 months! Written with amazing co-authors Shenyang Huang Michael Galkin towardsdatascience.com/temporal-graph…

Don't miss the next AI in Medicine Seminar to learn about the latest trends and explore collaborations in the exciting field of AI in Medicine. 🗓️ Tues 27 June 11:00am Seminar Room 12 School of Clinical Medicine Cambridge Biomedical Campus 👇

Now that I've handed in the thesis I've decided to go refactor some of my first projects. Hahaha now I need a time machine and a crowbar.

It's been a long time since I've had the chance to talk about GRL on dynamic graphs, so it was fun to revisit the topic a little. There's definitely still lots of research and engineering work to do in this area. Thanks for letting me present and the picture Petar Veličković !

I’m really excited to share our ICLR paper proposing Controlled Monte Carlo Diffusions (CMCD), a new sampler that enforces boundary conditions on the marginals exactly, achieving SOTA scores on ELBO and ln Z estimation! Thread on neat theoretical contributions and video (1/11)!

🧵1/7 Introducing an “Encyclopedia” of Molecular Design with Machine Learning Nature Machine Intelligence! nature.com/articles/s4225… Collaboration with Arian Jamasb*, Jeff Guo*, 符天凡, Charlie Harris, Yingheng Wang, Chenru Duan, Pietro Lio', @pschwller, and Tom Blundell.