Paper accepted at Data Science: "Towards a scientific data framework to support scientific model development" by Gabriele Scalia, Matteo Pelucchi, Alessandro Stagni, Alberto Cuoci, Tiziano Faravelli, and Barbara Pernici. datasciencehub.net/paper/towards-…

Evaluating Scalable Uncertainty Estimation Methods for #Deep Learning-Based #Molecular Property Prediction pubs.acs.org/doi/10.1021/ac… #ASAP

Dear all, please read our new #Volume 60, #Issue 6 pubs.acs.org/toc/jcisd8/60/6 #Current_issue

Excited to share Tangram, our method for mapping scRNAseq data on spatial data. Our work is part of the #BICCN and #HubMAP consortia. Collaboration led by Aviv Regev, between Broad Institute, Harvard University, AI Skunkworks at Northeastern University and FattahAmin X Unifi. biorxiv.org/content/10.110…

We are proud to share our paper with a comprehensive single cell RNA-seq, ATAC-seq and spatial atlas of the developing mouse neocortex, led by Daniela Di Bella from the Arlotta Lab and Ehsan Habibi from Aviv Regev’s lab. nature.com/articles/s4158…

In particular we now map all clusters at E11.5 to a full 3D embryo, with help of the excellent Tangram algorithm by Tommaso Biancalani and Gabriele Scalia of Regev lab (github.com/broadinstitute… with our tweaks at github.com/linnarsson-lab…)

Tangram is a versatile tool for aligning single-cell and single-nucleus RNA-seq data to spatially-resolved transcriptomics data using deep learning. Broad Institute Tommaso Biancalani Gabriele Scalia OA paper: nature.com/articles/s4159…

Why should diffusion models be linear? With multiple classes, they can be hierarchical! My work with Gabriele Scalia shows that hierarchical diffusion models improves their efficiency _and_ interpretability! arxiv.org/abs/2212.10777

Prof.Nuseibeh talking about Adaptive Information Security and Privacy #RCIS2017 @rcis_conference SenSe University of Brighton

2nd day of #RCIS2017 and Prof. Weippl presents research methods of Information Security SenSe University of Brighton RCIS 2025