Tootfinder

OKC et le Bouddhisme Tibétain : Une Légitimité Bâtie sur le Silence des « Grands Maîtres »
et les promoteurs du Bouddhisme Tibétain sauce "plein conscience"
https://chardonsbleus.org/okc-et-le-bouddhism…

Mooie input voor het coalitieoverleg vanavond :-)
Het scheelt wel weer 1 maatregel, nu zijn er nog maar negen.
https://www.bnr.nl/nieuws/internationaal/10575333/rechter-fluit-regering-terug-duitsland-ma…

Computing matrix $\varphi$-functions arising in exponential integrators
Awad H. Al-Mohy, Xiaobo Liu
https://arxiv.org/abs/2506.01193 https://

Computing matrix $φ$-functions arising in exponential integrators
A new scaling and recovering algorithm is proposed for simultaneously computing the matrix $φ$-functions that arise in exponential integrator methods for the numerical solution of certain first-order systems of ordinary differential equations (ODEs). The algorithm initially scales the input matrix down by a nonnegative integer power of two, then computes the $[m/m]$ diagonal Padé approximant to $φ_p$, where $p$ is the largest index of interest. The remaining $[m+p{-}j/m]$ Padé approximants …

#NowPlaying - my proper canterbury education carries on with henry cow's 1973 debut, like "weasels ripped my flesh" era mothers, but british leftist instead of californian libertarian (not that they really sing much here) & a notch less manic.

Found this pic from 1991. 34 years and a hundred pounds ago. Me, on my first bike, and first road trip. #motorcycle #harley #sportster

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability
Genta Indra Winata, David Anugraha, Emmy Liu, Alham Fikri Aji, Shou-Yi Hung, Aditya Parashar, Patrick Amadeus Irawan, Ruochen Zhang, Zheng-Xin Yong, Jan Christian Blaise Cruz, Niklas Muennighoff, Seungone Kim, Hanyang Zhao, Sudipta Kar, Kezia Erina Suryoraharjo, M. Farid Adilazuarda, En-Shiun Annie Lee, Ayu Purwarianti, Derry Tanti Wijaya, Monojit Choudhury

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability
High-quality datasets are fundamental to training and evaluating machine learning models, yet their creation-especially with accurate human annotations-remains a significant challenge. Many dataset paper submissions lack originality, diversity, or rigorous quality control, and these shortcomings are often overlooked during peer review. Submissions also frequently omit essential details about dataset construction and properties. While existing tools such as datasheets aim to promote transparency…

This https://arxiv.org/abs/2505.17917 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

M-learner:A Flexible And Powerful Framework To Study Heterogeneous Treatment Effect In Mediation Model
We propose a novel method, termed the M-learner, for estimating heterogeneous indirect and total treatment effects and identifying relevant subgroups within a mediation framework. The procedure comprises four key steps. First, we compute individual-level conditional average indirect/total treatment effect Second, we construct a distance matrix based on pairwise differences. Third, we apply tSNE to project this matrix into a low-dimensional Euclidean space, followed by K-means clustering to iden…

“TNC is where it all comes to life.”

In this video message, our CEO Lise Fuhr shares excitement ahead of her very first TNC, and why this global gathering matters so much to our Research & Education community.

Watch her personal welcome message below, as we all get ready for next week’s #TNC25 in Brighton 🇬🇧

And if you’re not coming in person, don’t forget to g…

Equivalence of Left- and Right-Invariant Extended Kalman Filters on Matrix Lie Groups
Finn G. Maurer, Erlend A. Basso, Henrik M. Schmidt-Didlaukies, Torleiv H. Bryne
https://arxiv.org/abs/2506.01514

Equivalence of Left- and Right-Invariant Extended Kalman Filters on Matrix Lie Groups
This paper derives the extended Kalman filter (EKF) for continuous-time systems on matrix Lie groups observed through discrete-time measurements. By modeling the system noise on the Lie algebra and adopting a Stratonovich interpretation for the stochastic differential equation (SDE), we ensure that solutions remain on the manifold. The derivation of the filter follows classical EKF principles, naturally integrating a necessary full-order covariance reset post-measurement update. A key contribut…

This https://arxiv.org/abs/2410.13230 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Starbucks-v2: Improved Training for 2D Matryoshka Embeddings
2D Matryoshka training enables a single embedding model to generate sub-network representations across different layers and embedding dimensions, offering adaptability to diverse computational and task constraints. However, its effectiveness remains well below that of individually trained models of equivalent sizes. To address this, we propose Starbucks, a new training strategy for Matryoshka-style embedding models that combines structured fine-tuning with masked autoencoder (MAE) pre-training.…