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Under Trump, GOP Support For 'Path To Legality' Has Spiked | Crooks and Liars
https://crooksandliars.com/2025/06/gop-support-immigrant-path-legality-has

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Accelerating GNN Training through Locality-aware Dropout and Merge
Gongjian Sun, Mingyu Yan, Dengke Han, Runzhen Xue, Duo Wang, Xiaochun Ye, Dongrui Fan
https://arxiv.org/abs/2506.21414

Accelerating GNN Training through Locality-aware Dropout and Merge
Graph Neural Networks (GNNs) have demonstrated significant success in graph learning and are widely adopted across various critical domains. However, the irregular connectivity between vertices leads to inefficient neighbor aggregation, resulting in substantial irregular and coarse-grained DRAM accesses. This lack of data locality presents significant challenges for execution platforms, ultimately degrading performance. While previous accelerator designs have leveraged on-chip memory and data a…

Low-Complexity Ordered Reliability Direct Error Pattern Testing (ORDEPT) Decoding with Likelihood Thresholding
Reza Hadavian, Dmitri Truhachev
https://arxiv.org/abs/2506.20079

Low-Complexity Ordered Reliability Direct Error Pattern Testing (ORDEPT) Decoding with Likelihood Thresholding
We propose a reduced complexity approach to pattern-based soft decoding of block codes. We start from the ORDEPT decoding algorithm which tests a list of partial error patterns organized in the order of their likelihood and attempts to complete the patterns creating candidate codewords. We then propose an early termination criterion. Once a candidate codeword is found, its log-likelihood difference to the received sequence is compared to a preset threshold and the decoding decision is instantly…

Identifiability and Maximum Likelihood Estimation for System Identification of Networks of Dynamical Systems
Anders Hansson, Jo\~ao Victor Galv\~ao da Mata, Martin S. Andersen
https://arxiv.org/abs/2506.20628

Identifiability and Maximum Likelihood Estimation for System Identification of Networks of Dynamical Systems
In this paper we investigate identifiability and maximum likelihood estimation for direct system identification of networks of dynamical systems. We provide necessary and sufficient conditions for network identifiability in terms of Gröbner bases. We show that the maximum likelihood approach is both consistent and efficient, which is in contrast to existing prediction error approaches. Moreover, our approach has wider applicability, i.e., it is applicable whenever network identifiability holds…

On likelihood of a Condorcet winner for uniformly random and independent voter preferences
Boris Pittel
https://arxiv.org/abs/2506.20613 https://

On likelihood of a Condorcet winner for uniformly random and independent voter preferences
We study a mathematical model of voting contest with $m$ voters and $n$ candidates, with each voter ranking the candidates in order of preference, without ties. A Condorcet winner is a candidate who gets more than $m/2$ votes in pairwise contest with every other candidate. An ``impartial culture'' setting is the case when each voter chooses his/her candidate preference list uniformly at random from all $n!$ preferences, and does it independently of all other voters. For impartial culture case, …

Some lawmakers in both parties question the legality of Trump's Iran strikes (Sahil Kapur/NBC News)
https://www.nbcnews.com/politics/congress/lawmakers-both-parties-question-legality-trumps-iran-strikes-rcna214316
http://www.memeorandum.com/250621/p74#a250621p74

Kirjutasin ERRi artikli. Pole vist kunagi nii kiiresti ühte artiklit kirjutanud, tavaliselt kulub selleks palju rohkem aega. Põhjus selles, et lugesin Kristjan Porti arvamust Novaatoris ning mõtlesin, et miks see "pimeda keskaja" müüt ka ei kao. Sellest on ju nii palju juttu olnud. Meil oli eelmisel semestril TÜs ka ülikoolimõtte ajaloo kursus, kus sai pikalt tegeletud keskaja ning varauusaja ülikoolide ajalooga ning eriti just sellel taustal tundus, et on vaja ikkagi midagi omalt …

Squared Linear Models
Hannah Friedman, Bernd Sturmfels, Maximilian Wiesmann
https://arxiv.org/abs/2505.19351 https://arxiv.org/pdf/25…

Squared Linear Models
We study statistical models that are parametrized by squares of linear forms. All critical points of the likelihood function are real and positive. There is one for each region of the projective hyperplane arrangement. We study the ideal and singular locus of the model, and we give a determinantal presentation for its likelihood correspondence. We characterize tropical degenerations of the MLE, and we describe log-normal polytopes.

Improved Prefetching Techniques for Linked Data Structures
Nikola Vuk Maruszewski
https://arxiv.org/abs/2505.21669 https://arxiv.org/…

Improved Prefetching Techniques for Linked Data Structures
With ever-increasing main memory stall times, we need novel techniques to reduce effective memory access latencies. Prefetching has been shown to be an effective solution, especially with contiguous data structures that follow the traditional principles of spatial and temporal locality. However, on linked data structures$-$made up of many nodes linked together with pointers$-$typical prefetchers struggle, failing to predict accesses as elements are arbitrarily scattered throughout memory and ac…