Tootfinder

RIVERS!
What can we learn from European rivers? How can we prevent floods using that knowledge?
What are some of Europe's latests wild rivers?
What is the "fifth season" in Estonia and what does it have to do with flooding rivers?
Find out at The European Perspective. New article by Raluca Besliu:
"Understanding the flow: Europe’s forgotten river wisdom"

Understanding the flow: Europe's forgotten river wisdom - The European Perspective
I come from a country where rivers crisscross the land like veins—feeding valleys, nourishing communities, and shaping the terrain. From wide, slow-moving

QB Philip Rivers officially retires with Chargers https://www.nfl.com/news/qb-philip-rivers-officially-retires-with-chargers

MTS-DMAE: Dual-Masked Autoencoder for Unsupervised Multivariate Time Series Representation Learning
Yi Xu, Yitian Zhang, Yun Fu
https://arxiv.org/abs/2509.16078 https://

MTS-DMAE: Dual-Masked Autoencoder for Unsupervised Multivariate Time Series Representation Learning
Unsupervised multivariate time series (MTS) representation learning aims to extract compact and informative representations from raw sequences without relying on labels, enabling efficient transfer to diverse downstream tasks. In this paper, we propose Dual-Masked Autoencoder (DMAE), a novel masked time-series modeling framework for unsupervised MTS representation learning. DMAE formulates two complementary pretext tasks: (1) reconstructing masked values based on visible attributes, and (2) est…

On the word-representability of $K_m$-$K_n$ graphs
Herman Z. Q. Chen, Humaira Hameed, Sergey Kitaev
https://arxiv.org/abs/2508.15177 https://arxiv.org/pdf/…

On the word-representability of $K_m$-$K_n$ graphs
Word-representable graphs are a class of graphs that can be represented by words, where edges and non-edges are determined by the alternation of letters in those words. Several papers in the literature have explored the word-representability of split graphs, in which the vertices can be partitioned into a clique and an independent set. In this paper, we initiate the study of the word-representability of graphs in which the vertices can be partitioned into two cliques. We provide a complete char…

Rep. Anna Paulina Luna Refers Federal Reserve Chair Jerome Powell for Criminal Investigation Over False Testimony (luna.house.gov)
https://luna.house.gov/posts/rep-anna-paulina-luna-refers-federal-reserve-chair-jerome-powell-for-criminal-investigation-over-false-testimony
http://www.memeorandum.com/250721/p103#a250721p103

"Why aquatic life is facing a double whammy as sewage overflows spill into rivers amid heavy rain"
#UK #UnitedKingdom #Sewage

Why aquatic life is facing a double whammy as sewage overflows spill into rivers amid heavy rain

QB Rivers makes it official: 'I'm retiring a Charger' https://www.espn.com/nfl/story/_/id/45791166/former-qb-philip-rivers-announces-retiring-charger

Representation theory for polymatroids
Matthew Baker, June Huh, Mario Kummer, Oliver Lorscheid
https://arxiv.org/abs/2507.14718 https://

Representation theory for polymatroids
We develop a theory of representations of (discrete) polymatroids over tracts in terms of Plücker coordinates and suitable Plücker relations. As special cases, we recover polymatroids themselves as polymatroid representations over the Krasner hyperfield K and M-convex functions as polymatroid representations over the tropical hyperfield. We introduce and study several useful operations for polymatroid representations, such as translation and refined notions of minors and duality which have …

Graph Structure Learning with Temporal Graph Information Bottleneck for Inductive Representation Learning
Jiafeng Xiong, Rizos Sakellariou
https://arxiv.org/abs/2508.14859 https…

Graph Structure Learning with Temporal Graph Information Bottleneck for Inductive Representation Learning
Temporal graph learning is crucial for dynamic networks where nodes and edges evolve over time and new nodes continuously join the system. Inductive representation learning in such settings faces two major challenges: effectively representing unseen nodes and mitigating noisy or redundant graph information. We propose GTGIB, a versatile framework that integrates Graph Structure Learning (GSL) with Temporal Graph Information Bottleneck (TGIB). We design a novel two-step GSL-based structural enha…

Quarterback Philip Rivers officially retires as a member of the Chargers, five years after his final NFL game

https://www.cbssports.com/nfl/news/quarter…