Tootfinder

Cowboys cruise to victory over Raiders; Virginia Tech hires James Franklin

https://www.cbssports.com/nfl/news/cowboys-raiders-virginia-tech-james-franklin-wembanyama-i…

Kom bij ons werken!
We zoeken nieuwe collega's bij Common Futures; werk mee aan mooie projecten om de energietransitie te versnellen.
https://www.commonfutures.com/nl/vacatures
(We're hiring; in Dutch ;)

Vacatures
Vacatures

Spanberger wins Virginia governor's race (Julia Manchester/The Hill)
https://thehill.com/homenews/campaign/5583526-spanberger-virginia-gubernatorial-victory/
http://www.memeorandum.com/251104/p142#a251104p142

A Verified High-Performance Composable Object Library for Remote Direct Memory Access (Extended Version)
Guillaume Ambal, George Hodgkins, Mark Madler, Gregory Chockler, Brijesh Dongol, Joseph Izraelevitz, Azalea Raad, Viktor Vafeiadis
https://arxiv.org/abs/2510.10531

A Verified High-Performance Composable Object Library for Remote Direct Memory Access (Extended Version)
Remote Direct Memory Access (RDMA) is a memory technology that allows remote devices to directly write to and read from each other's memory, bypassing components such as the CPU and operating system. This enables low-latency high-throughput networking, as required for many modern data centres, HPC applications and AI/ML workloads. However, baseline RDMA comprises a highly permissive weak memory model that is difficult to use in practice and has only recently been formalised. In this paper, we i…

7th_graders: Vickers 7th Graders (1981)
A small multiplex network of friendships among 29 seventh grade students in Victoria, Australia. Students nominated classmates for three different activities (who do you get on with in the class, who are your best friends, and who would you prefer to work with). Edge direction for each of these three types of edges indicates if node i nominated node j, and the edge weight gives the frequency of this nomination. Students 1-12 are boys and 13-29 ar…

Barack Obama headlined a rally Saturday in Virginia
to try to secure a victory for the state’s Democratic gubernatorial candidate, who leads in polls days before the election.
Obama moved between criticizing Donald Trump and Republican policy and rhetoric – with a bit of humor
– while also explaining how Abigail Spanberger could help counter what Democrats see as the country’s downward trajectory.
“As for the president, he has been focused on critical issues like pavi…

Habt ihr schon mal versehentlich vegetarische/vegane Ersatzprodukte statt Wurst und Fleisch gekauft?
:BoostOK:
#Veggiewurst

M\"obius transforms and Shapley values for vector-valued functions on weighted directed acyclic multigraphs
Patrick Forr\'e, Abel Jansma
https://arxiv.org/abs/2510.05786

Möbius transforms and Shapley values for vector-valued functions on weighted directed acyclic multigraphs
We generalize the concept of Möbius inversion and Shapley values to directed acyclic multigraphs and weighted versions thereof. We further allow value functions (games) and thus their Möbius transforms (synergy function) and Shapley values to have values in any abelian group that is a module over a ring that contains the graph weights, e.g. vector-valued functions. To achieve this and overcome the obstruction that the classical axioms (linearity, efficiency, null player, symmetry) are not str…

New nickle release today. This adds complex numbers, adds more math functions and fixes some existing ones. I'm using all of this to generate test vectors for picolibc math functions. More news about that when I manage to get the tests through CI.
Here's the nickle bits:
https://github.com/keith-…

Equivariant Geometric Scattering Networks via Vector Diffusion Wavelets
David R. Johnson, Rishabh Anand, Smita Krishnaswamy, Michael Perlmutter
https://arxiv.org/abs/2510.01022 …

Equivariant Geometric Scattering Networks via Vector Diffusion Wavelets
We introduce a novel version of the geometric scattering transform for geometric graphs containing scalar and vector node features. This new scattering transform has desirable symmetries with respect to rigid-body roto-translations (i.e., $SE(3)$-equivariance) and may be incorporated into a geometric GNN framework. We empirically show that our equivariant scattering-based GNN achieves comparable performance to other equivariant message-passing-based GNNs at a fraction of the parameter count.