🚨 New preprint!
“Incorporating Correlated Nugget Effects in Multivariate Spatial Models: An Application to Argo Ocean Data”
📄https://t.co/gP3Om6VxmG
🧑💻 Code: https://t.co/ocOHx4SwCL Thanks @jdavidbolin & co-authors Xiaotian Jin, Alexandre B. Simas & Jonas Wallin!
New paper: “Log-Gaussian Cox Processes on General Metric Graphs” coauthored with David Bolin and Alexandre B. Simas. We propose a novel framework for LGCPs on general metric graphs using Gaussian Whittle–Matérn fields. Read: https://t.co/yPo3qxn2Gh Code: https://t.co/iAViztelyQ
Halfway through the Bocconi Summer School at beautiful Como Lake! Claudia Tebaldi’s lecture on using stats for climate research was amazing(she contributed to the Nobel-winning IPCC report). Douglas Nychka sharing insights on spatial stats. 4 more days ahead! 🌍📚✨
Just wrapped up an amazing time at #ISBA2024 at Ca' Foscari University of Venice! 🎉 Had the chance to present my research and dive deep into Bayesian analysis and computational methods. Huge shoutout to the organizers for the event and the warm vibes.
Very nice review lecture. I think the grad schools should have some history of statistics/probability lectures integrated to know and give tribute to the pioneers. But for now, watching the YouTube to know how the history happened.
A very interesting talk by Yuval Peres on the history of probability on April 29th at BIMSA
Yuval Peres: Some highlights from the history of probability https://t.co/ibbVLhZCaX via @YouTube
ML Papers of the Week now has a total of 40K subscribers and 7K stars!
Started this crazy little project last year and it is truly one of my favorite weekly activities.
Searching for new AI research papers and researching ideas on arXiv and places like X is like a full-time job. I don't get paid for it but I love doing this as a way of giving back to the community and to satisfy my arXiv addiction.
I love sharing my favorite and most compelling AI papers every week with you all through the ML Papers of the Week mailing list and @dair_ai. By the way, @dair_ai also hit 50K followers. A lot of it has to do with this effort. But there is a lot more in store around AI research, education, and tools.
I have started to use advanced analytics and AI to automate some parts of the paper curation process. As a side project, I've been building a research assistant that builds on this whole process. I use it every day but it's not ready for launch yet.
I have started to also write short posts about these findings every Friday here on X before the newsletter issues go out on Sundays. I am hearing a lot of people like those too.
I will continue working on and improving these summaries. It's not getting any easier as arXiv's volume of LLM/AI papers keeps growing fast.
I am experimenting with new ways to document findings such as the Research Findings and Papers section in the prompting guide. Those are also taking off!
Wanted to share all of this not to brag but to share more about what is happening behind the scenes and in public with all our efforts on democratizing AI research and education.
Thank you for all the support. This would've never happened without your relentless curiosity.
Find relevant links below ↓
Let's get started!😀
Lecture 1 offers a high-level introduction to Graph Machine Learning.
Additionally, check out the top-tier books by @mmbronstein, @TacoCohen, @PetarV_93, and outstanding computing libraries by @DGLGraph, @PyG_Team to learn GML.
https://t.co/RZdOCekxbB
R2: While the results are impressive, this is a simple combination of diffusion transformer (ICCV 2023) and latent diffusion model (CVPR 2022). Limited novelty. Weak reject.
#KAUST, in partnership with @SDAIA_SA has launched three summer camps for #AI, at KAUST and @UniofOxford, with the participation of 140+ high school and university students from across the Kingdom for eight weeks, to empower and prepare students to contribute to the development of the future of #artificialintelligence in #SaudiArabia.
#KAUSTAcademy #summerprograms
Joined KAUST a year ago. Time flies, especially when the only season is summer. Already started working on my Master’s Thesis on topic of Non-Gaussian Random Fields as solution to SPDEs.