Tootfinder

The gun lobby is spending millions to protect its power
while young people are fighting for their lives.
As the year ends, we need to meet this moment with real urgency.
𝗧𝗵𝗲 𝗡𝗥𝗔 𝗵𝗮𝘀 𝗽𝗿𝗼𝗳𝗶𝘁𝗲𝗱 𝗼𝗳𝗳 𝘃𝗶𝗼𝗹𝗲𝗻𝗰𝗲 𝗳𝗼𝗿 𝗱𝗲𝗰𝗮𝗱𝗲𝘀
— and gun violence won’t pause for the holidays.
Our movement can’t slow down either.
Your donation fuels rapid-response organizing,
expands our Action Hub,
and helps young people push for real accountability in 2026.
𝗖𝗵𝗶𝗽 …

March For Our Lives
Since 2018, we’ve mobilized millions of young people to demand what is rightfully ours: A future free of gun violence.

Pour résumer : la police belge dispose d’une importante stack logicielle propriétaire et vieillissante. Un projet de modernisation a été confié Š Sopra Steria, mais celui-ci n’a pas abouti, le système ne fonctionnant pas comme prévu. En revanche, une partie logicielle (Focus) développée en interne par une autre équipe a permis de limiter les dégâts et de maintenir certaines fonctionnalités opérationnelles.
#police

A propósito del apoyo de Frei a Kast.
Créditos para #Malaimagen
🔗 #Humor

Just a hut under a tree in the mist ...
I saw this when I was walking back from a location scouting. When I was back at the car, I turned around - already ready to drive away when I noticed this gnarly tree in the field.
The fog was just light enough to create an interesting mood I think.
#photography

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[3/5]:
- Look-Ahead Reasoning on Learning Platforms
Haiqing Zhu, Tijana Zrnic, Celestine Mendler-D\"unner
https://arxiv.org/abs/2511.14745 https://mastoxiv.page/@arXiv_csLG_bot/115575981129228810
- Deep Gaussian Process Proximal Policy Optimization
Matthijs van der Lende, Juan Cardenas-Cartagena
https://arxiv.org/abs/2511.18214 https://mastoxiv.page/@arXiv_csLG_bot/115610315210502140
- Spectral Concentration at the Edge of Stability: Information Geometry of Kernel Associative Memory
Akira Tamamori
https://arxiv.org/abs/2511.23083 https://mastoxiv.page/@arXiv_csLG_bot/115644325602130493
- xGR: Efficient Generative Recommendation Serving at Scale
Sun, Liu, Zhang, Wu, Yang, Liang, Li, Ma, Liang, Ren, Zhang, Liu, Zhang, Qian, Yang
https://arxiv.org/abs/2512.11529 https://mastoxiv.page/@arXiv_csLG_bot/115723008170311172
- Credit Risk Estimation with Non-Financial Features: Evidence from a Synthetic Istanbul Dataset
Atalay Denknalbant, Emre Sezdi, Zeki Furkan Kutlu, Polat Goktas
https://arxiv.org/abs/2512.12783 https://mastoxiv.page/@arXiv_csLG_bot/115729287232895097
- The Semantic Illusion: Certified Limits of Embedding-Based Hallucination Detection in RAG Systems
Debu Sinha
https://arxiv.org/abs/2512.15068 https://mastoxiv.page/@arXiv_csLG_bot/115740048142898391
- Towards Reproducibility in Predictive Process Mining: SPICE -- A Deep Learning Library
Stritzel, H\"uhnerbein, Rauch, Zarate, Fleischmann, Buck, Lischka, Frey
https://arxiv.org/abs/2512.16715 https://mastoxiv.page/@arXiv_csLG_bot/115745910810427061
- Differentially private Bayesian tests
Abhisek Chakraborty, Saptati Datta
https://arxiv.org/abs/2401.15502 https://mastoxiv.page/@arXiv_statML_bot/111843467510507382
- SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning
Paul Mangold, Sergey Samsonov, Safwan Labbi, Ilya Levin, Reda Alami, Alexey Naumov, Eric Moulines
https://arxiv.org/abs/2402.04114
- Adjusting Model Size in Continual Gaussian Processes: How Big is Big Enough?
Guiomar Pescador-Barrios, Sarah Filippi, Mark van der Wilk
https://arxiv.org/abs/2408.07588 https://mastoxiv.page/@arXiv_statML_bot/112965266196097314
- Non-Perturbative Trivializing Flows for Lattice Gauge Theories
Mathis Gerdes, Pim de Haan, Roberto Bondesan, Miranda C. N. Cheng
https://arxiv.org/abs/2410.13161 https://mastoxiv.page/@arXiv_heplat_bot/113327593338897860
- Dynamic PET Image Prediction Using a Network Combining Reversible and Irreversible Modules
Sun, Zhang, Xia, Sun, Chen, Yang, Liu, Zhu, Liu
https://arxiv.org/abs/2410.22674 https://mastoxiv.page/@arXiv_eessIV_bot/113401026110345647
- Targeted Learning for Variable Importance
Xiaohan Wang, Yunzhe Zhou, Giles Hooker
https://arxiv.org/abs/2411.02221 https://mastoxiv.page/@arXiv_statML_bot/113429912435819479
- Refined Analysis of Federated Averaging and Federated Richardson-Romberg
Paul Mangold, Alain Durmus, Aymeric Dieuleveut, Sergey Samsonov, Eric Moulines
https://arxiv.org/abs/2412.01389 https://mastoxiv.page/@arXiv_statML_bot/113588027268311334
- Embedding-Driven Data Distillation for 360-Degree IQA With Residual-Aware Refinement
Abderrezzaq Sendjasni, Seif-Eddine Benkabou, Mohamed-Chaker Larabi
https://arxiv.org/abs/2412.12667 https://mastoxiv.page/@arXiv_csCV_bot/113672538318570349
- 3D Cell Oversegmentation Correction via Geo-Wasserstein Divergence
Peter Chen, Bryan Chang, Olivia A Creasey, Julie Beth Sneddon, Zev J Gartner, Yining Liu
https://arxiv.org/abs/2502.01890 https://mastoxiv.page/@arXiv_csCV_bot/113949981686723660
- DHP: Discrete Hierarchical Planning for Hierarchical Reinforcement Learning Agents
Shashank Sharma, Janina Hoffmann, Vinay Namboodiri
https://arxiv.org/abs/2502.01956 https://mastoxiv.page/@arXiv_csRO_bot/113949997485625086
- Foundation for unbiased cross-validation of spatio-temporal models for species distribution modeling
Diana Koldasbayeva, Alexey Zaytsev
https://arxiv.org/abs/2502.03480
- GraphCompNet: A Position-Aware Model for Predicting and Compensating Shape Deviations in 3D Printing
Juheon Lee (Rachel), Lei (Rachel), Chen, Juan Carlos Catana, Hui Wang, Jun Zeng
https://arxiv.org/abs/2502.09652 https://mastoxiv.page/@arXiv_csCV_bot/114017924551186136
- LookAhead Tuning: Safer Language Models via Partial Answer Previews
Liu, Wang, Luo, Yuan, Sun, Liang, Zhang, Zhou, Hooi, Deng
https://arxiv.org/abs/2503.19041 https://mastoxiv.page/@arXiv_csCL_bot/114227502448008352
- Constraint-based causal discovery with tiered background knowledge and latent variables in single...
Christine W. Bang, Vanessa Didelez
https://arxiv.org/abs/2503.21526 https://mastoxiv.page/@arXiv_statML_bot/114238919468512990
toXiv_bot_toot

🇺🇦 #NowPlaying on KEXP's #MiddayShow
Melenas:
🎵 Bang
#Melenas
https://troubleinmindrecords.bandcamp.com/track/bang
https://open.spotify.com/track/39Ys9oI5C9zzV4sccQJDSC

How the explicit deepfake ecosystem evolved from images to high-quality video; an analysis shows 1.4M Telegram accounts signed up to 39 deepfake creation bots (Matt Burgess/Wired)
https://www.wired.com/story/deepfake-nudify-technology-is-getting-…

Deepfake ‘Nudify’ Technology Is Getting Darker—and More Dangerous
Sexual deepfakes continue to get more sophisticated, capable, easy to access, and perilous for millions of women who are abused with the technology.

It's crazy how two people doing something in a garage can get folks to turn it into something of a religion, where individuals are willing to pay millions for paper. https://mastodon.online/@9to5Mac/115616484841704061

9to5Mac (@9to5Mac@mastodon.online)
Attached: 1 image This looks set to be the most expensive Apple collectible ever sold https://9to5mac.com/2025/11/26/this-looks-set-to-be-the-most-expensive-apple-collectible-ever-sold/?utm_source=dlvr.it&utm_medium=mastodon

Donald Trump spent Christmas:
- Referring to millions of Americans as “scum”
- Bombing another country without congressional authorization
- Defending Jeffrey Epstein
- Threatening it “may be our last Christmas ever”
Just an absolutely deranged person with advancing dementia!
https://

Max Berger (@maxberger.bsky.social)
Donald Trump spent Christmas: - Referring to millions of Americans as “scum” - Bombing another country without congressional authorization - Defending Jeffrey Epstein - Threatening it “may be our last Christmas ever” Just an absolutely deranged person with advancing dementia!

Families of October 7 victims sue Binance and Changpeng Zhao in US federal court, alleging Binance facilitated millions in payments to Hamas after October 7 (Financial Times)
https://www.ft.com/content/0aea27d8-89a8-4f33-8bfa-2441a16f2b4d