Rxiv mechanobio3h ago
📰 "Multimarginal flow matching with optimal transport potentials"
https://arxiv.org/abs/2606.05327 #Q-Bio.Qm #Dynamics #Stat.Ml #Cs.Lg #Cell
Multimarginal flow matching with optimal transport potentials

Flow matching (FM) has emerged as a powerful framework for learning dynamic transport maps between two empirical distributions. However, less explored is the setting with intermediate observed marginals that can help constrain the flows between the endpoints. This "multimarginal" regime is central to modeling temporal evolution in dynamical systems in many scientific domains that can sample sequential distributions. We tackle this problem with a novel approach that leverages the connection between FM and dynamic optimal transport (OT), softly steering the flow towards the intermediate marginals through potential terms in the dynamic OT action. By extending the conditional FM learning target to incorporate these potentials, we derive an efficient, simulation-free algorithm for multimarginal FM that offers considerable flexibility in the spatiotemporal dynamics of the learned flows. We demonstrate state-of-the-art performance and training efficiency of OT-potential FM (OTP-FM) on diverse single-cell RNA sequencing, oceanographic, and meteorological datasets. Our code is available at https://github.com/Bexorg-Inc/OTP-FM.

arXiv.org
filippo19h ago

situation in Palestine

EDT: over 73,000 dead and over 172,000 injured across Israel and the West Bank, including East Jerusalem.

#stat #statistics #freepalestine #freegaza #Gaza #palestine #middleorient #genocide #westbank #eastjerusalem #mastodon #news #mastodonnews #mastodonsocial #post #numbers

Karel 'Clock' K.May 23

[EN below]"vydrancovat a rozkrádat veřejné zdroje[...]dostat tak desítky tisíc dětí do chudoby a toxického prostředí a potom[...]děti fašisticky odebrat a financovat dětskou převýchovu pomocí pěstounské péče[...]pokračování těžkého sociálního zločinu, který se zde děje desítky let."

"plunder public resources[...]get 10 000s of children into poverty and toxic environments this way and then[...]remove the children in a fascist way and finance a child reeducation using foster care[...]continuation of serious social crime that's happening here for decades"

https://blisty.cz/art/133590-plysakovy-mega-kyc.html

#childabduction #childrafficking #abduction #czech #czechia #czechrepublic #regime #czechregime #plundering #publicresources #injustice #decades #poverty #fostercare #childpoverty #criminalizationofpoverty #socialpolicy #humantrafficking #cesko #cechy #ceskarepublika #rezim #ceskyrezim #stat #state

Plyšákový "Mega kýč"... | 23. 5. 2026 | Pavel Veleman | Britské listy

  (Jardovi, řečenému Bohouš) V geniálním románu Roberta Musila "Muž bez vlastností" se chystá velká akce, která má upevnit a ukázat vše dobré, ...

Britské listy
PaulaMay 22

#BreakingNews #TotallyRealNews

#RedBeanBear just crashed and has been taken in for #EmergencySurgery #STAT

This is my #worst fear…! Please #pray for #RedBeanBear

#HeIsTooYoungToDie

O SlovenskuMay 20

Europoslankyňa Katarína Roth Neveďalová (nezaradená/Smer-SD) považuje uznesenie EP za snahu časti europoslancov o priame zasahovanie do politickej situácie na Slovensku a ovplyvňovanie volieb.

Tón: : mierne negatívny
#slovakia #gdelt #reakcie #štát #europoslanci

https://www.teraz.sk/slovensko/nazory-europoslancov-sr-na-uznesenie-o/964265-clanok.html

Názory europoslancov SR na uznesenie o stave právneho štátu sa líšia

Europoslankyňa Katarína Roth Neveďalová (nezaradená/Smer-SD) považuje uznesenie EP za snahu časti europoslancov o priame zasahovanie do politickej situácie na Slovensku a ovplyvňovanie volieb.

TASR
[email protected]May 19

#Linux #Zugriffsrechte meistern: Die ultimative Anleitung zu #chmod, #chown & #stat

In der zweiten Folge zum #Linux- #Basiswissen zeige ich Euch, wie #Zugriffsrechte auf der #Kommandozeile wirklich funktionieren – vom Lesen der Ausgabe von "ls -l" bis zum Ändern mit #chmod, #chown und Co. Außerdem erfahrt Ihr, was es mit den geheimnisvollen #rwx-Buchstaben, Zahlenwerten und Sonderrechten wie #SUID und #SGID...

#Nicht_der_Weisheit_letzter_Schluß

@nichtderweisheit

https://m.youtube.com/watch?v=bJ8uLdy_GrU

Linux-Basiswissen Kommandozeile 2: Zugriffsrechte

YouTube
FelhasználóMay 13

2022. szeptember ötödikén határoztam el végleg, hogy nem fogok egy-három havonta újra regisztrálni az ingyen prémium miatt.

Itt már kezdett beleférni a költségvetésbe a #Spotify is.

Ez azóta is megvan, a #Netflix viszont már nincs.

És azóta ez a statisztika.

EDIT: ez átlagosan napi 1,18 zene. Nem is rossz!

#Spoti20 #Spotify20 #PartyOfTheYear #magyar #hungarian #wrapp #stat

Karel 'Clock' K.May 10

"účelově  tato politička svojí celoživotní neoliberální politikou vytváří společenské podmínky k vytvoření stresu, prekarizace rodin, nedostupného bydlení, prostě prostředí, které je spouštěč ke všem závislostem, a potom si vybírá tyto strašlivé kauzy a vše svaluje na individuální chyby naprosto přetížených sociálních pracovníků"

"Teď se, vážené kolegyně a kolegové, opravdu hraje o budoucnost sociální práce v této zemi. Jde o to, zda se vrátíme k praxi sociálního útlaku”, na které se tak těší velká skupina tzv. MAGA OSPOD"

https://blisty.cz/art/133303-nejde-mlcet-v-cesku-nastupuje-totalni-utlak.html

#neoliberal #stress #family #housingcrisis #addiction #oppression #czech #czechia #czechrepublic #česko #český #českárepublika #režim #stát #socialwork

Nejde mlčet! V Česku nastupuje totální útlak! | 9. 5. 2026 | Pavel Veleman | Britské listy

  Viktorka a její strašná smrt - jako morální kýč - byl přeměněný účelově na kladivo, které rozbije snahu o změny v oboru sociální práce… “Ti, ...

Britské listy
Rxiv mechanobioMay 5
📰 "Riemannian Generative Decoder"
https://arxiv.org/abs/2506.19133 #CellDivision #Q-Bio.Qm #Stat.Ml #Cs.Lg #Cell
Riemannian Generative Decoder

Euclidean representations distort data with intrinsic non-Euclidean structure. While Riemannian representation learning offers a solution by embedding data onto matching manifolds, it typically relies on an encoder to estimate densities on chosen manifolds. This involves optimizing numerically brittle objectives, potentially harming model training and quality. To completely circumvent this issue, we introduce the Riemannian generative decoder, a unifying approach for finding manifold-valued latents on any Riemannian manifold. Latents are learned with a Riemannian optimizer while jointly training a decoder network. By discarding the encoder, we vastly simplify the manifold constraint compared to current approaches which often only handle few specific manifolds. We validate our approach on three case studies -- a synthetic branching diffusion process, human migrations inferred from mitochondrial DNA, and cells undergoing a cell division cycle -- each showing that learned representations respect the prescribed geometry and capture intrinsic non-Euclidean structure. Our method requires only a decoder, is compatible with existing architectures, and yields interpretable latent spaces aligned with data geometry. Code available on https://github.com/yhsure/riemannian-generative-decoder.

arXiv.org
Rxiv mechanobioMay 4
📰 "M-CaStLe: Uncovering Local Causal Structures in Multivariate Space-Time Gridded Data"
https://arxiv.org/abs/2605.00398 #Physics.Ao-Ph #Dynamics #Stat.Ml #Cs.Lg #Cell
M-CaStLe: Uncovering Local Causal Structures in Multivariate Space-Time Gridded Data

Causal graph discovery for space-time systems is challenging in high-dimensional gridded data, which often has many more grid cells than temporal observations per cell. The Causal Space-Time Stencil Learning (CaStLe) meta-algorithm was developed to address that niche under space-time locality and stationarity assumptions, but it is currently limited to univariate analyses. In this work, we present M-CaStLe. M-CaStLe generalizes the local embedding and parent-identification phases of CaStLe to jointly model local within-variable and cross-variable space-time causal structures in gridded data. Like CaStLe, by constraining candidate parents to a constant-size space-time neighborhood and pooling spatial replicates, M-CaStLe increases effective sample size to make discovery tractable in high-dimensional settings. We further decompose the resulting multivariate stencil graph into reaction and spatial graphs to aid interpretation in complex settings. We study M-CaStLe in four settings: a multivariate space-time vector autoregression benchmark with known ground truth, an advective-diffusive-reaction partial differential equation verification problem with derived physical reference structure, an atmospheric chemistry case study in a low-temporal-sample regime, and an El Niño Southern Oscillation study on reanalysis data, identifying phase-dependent ocean--atmosphere coupling. Across these settings, M-CaStLe more accurately recovers multivariate causal structure in controlled settings and identifies important physical dynamics in real-world case studies. Overall, M-CaStLe advances causal discovery for multivariate space-time systems while retaining interpretability at the grid level.

arXiv.org