Tootfinder

Here was the vice president defending the administration’s vile immigration policies
in a way that fundamentally degrades the experiences and traditions of his own family,
of people he is bound by vows —vows that should be sacred to a Christian —to love and protect.
It sums up Vance’s journey into public life and politics:
There is nobody he won’t betray,
and no principle he won’t cast aside, in his quest to accrue more fame and power.
This has been clear…

Who Is JD Vance? (No, Seriously. Who Is He?)
The vice president is a cynical shapeshifter, willing to say anything—and be anybody—to become the most powerful person in America.

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

When It Hits the Fan - The Prince Andrew Crisis
Possibly more discord and disagreement than I have ever heard before between the hosts Yelland and Lewis on this one.
I think I have to agree with Yelland here that royal PR is in a total mess and the upcoming generation (George, Charlotte and Louis) are going to have to force their parents to shake things up.

Here's a thoughtful critique of One Battle After Another, which I still enjoyed and recommend - and would quibble with some of the points here - but I agree the first act could've been handled better to avoid perpetuating quite so much the fetishization the film intends to condemn. https://

One Fetish After Another: PTA Exploits Black Women and Averts Revolution
Paul Thomas Anderson's action flick leaves much to be desired.

Series C, Episode 03 - Volcano
TARRANT: Like capturing us.
HOWER: Do you feel ill, or upset in any way?
DAYNA: No. What was it, some kind of narcotic spray gun?
HOWER: Something like that. Quite harmless, I assure you.
TARRANT: I'm glad to hear it.
https://blake.torpidity.net/m/303/102

Inside Intel's new 700-acre factories in the Arizona desert, which cost $32B and are starting large-scale 18A chip production, as it seeks to impress customers (Michael Acton/Financial Times)
https://www.ft.com/content/e4b1fa29-6027-44d9-8375-b3368132dd1b
…

Podemos's maximalist posture is preventing Spain enacting an arms embargo on Israel. Other parties (Sumar, ERC) agree it's inadequate but say they can then work to strengthen it, e.g. with surveillance at ports.
Un embargo de armas como respuesta a un genocidio

Un embargo de armas como respuesta a un genocidio
El decreto del embargo de armas a Israel recibirá el apoyo de los socios del Gobierno, pero Podemos se niega en el pleno a garantizar su aprobación por considerarlo falso e insuficiente. Álvarez de Toledo utiliza hechos desacreditados sobre el ataque de Hamás en 2023 para atacar al Gobierno

O amarelinho, ex-prisioneiro, apareceu agora hš pouco. Dš pra perceber com nitidez como ele estš mais magro e como seu pelo estš menos saudšvel do que costumava ser.
https://social.linux.pizza/@matematico314/115357678350152632

Perdido numa ilha deserta, o português avista uma moça agarrada num
barril, a uns duzentos metros da praia. Imediatamente, ele pula na
šgua para ajudš-la. Assim que chegam na ilha e a moça recupera a sua
consciência, ela diz:
-- Agora, para mostrar a minha gratidão, eu vou lhe dar uma coisa
que acho que você não vê hš muito tempo.
E o portuga:
-- Não vš me dizer que tem chopp dentro do barril!

Optimal run-tumble navigation in disordered landscapes
Yang Bai, Caiyun He, Weirong Liu, Songtao Cheng, Pan Chu, Liang Luo, Chenli Liu, Xiongfei Fu
https://arxiv.org/abs/2510.12106

Optimal run-tumble navigation in disordered landscapes
Active navigation in disordered media is governed by the interplay between self-propulsion and environmental constraints. Using the chemotaxis of E. coli in agar gels as a model system, we uncover a universal trade-off between persistence and obstacle avoidance that dictates optimal search strategies. We find that populations evolving under pressure for rapid expansion adapt by shortening their mean run time (τ_f), counter to the intuition that longer runs always favor faster migration. Contro…