The Belgian Powernaut VPP with residential solar (which dynamically curtails excess generation if needed to minimise imbalance) demonstrates that 80% of the value is generated in just 2% of the time.
https://hems-finder.org/wiki/gastbeitrag/Deutschlands-2-Mil…
Considering that under Trump, the US is turning into a fascist terror state where opponents of the orange leader are simply shot dead on the street by his private Gestapo, ICE, or persecuted by his terror justice system, I am considering completely disposing of all US hardware and services that I still use to some extent.
In addition to Linux and Pixel with GrapheneOS, I unfortunately still use a few Apple devices such as MacBook Air, iPhone, Watch, and iPad Mini, and of course I also …
Brownshirts, ICE are the brownshirts that become the Gestapo and the SS https://mastodon.social/@SteveThompson/115895235525771212
👀
🔗 #GustavoGatica
Trump repeats claim that federal government should run elections in some states
Asked by a reporter to explain his suggestion on Monday,
to podcaster-turned-FBI deputy-director-turned-podcaster-again Dan Bongino,
that the US should “nationalize” elections
and have them run by the federal government,
Trump repeats his false claims that elections in states he lost in 2020 were “crooked”.
“If you think about it, the state is an agent for the federal governmen…
Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[1/6]:
- Towards Attributions of Input Variables in a Coalition
Xinhao Zheng, Huiqi Deng, Quanshi Zhang
https://arxiv.org/abs/2309.13411
- Knee or ROC
Veronica Wendt, Jacob Steiner, Byunggu Yu, Caleb Kelly, Justin Kim
https://arxiv.org/abs/2401.07390
- Rethinking Disentanglement under Dependent Factors of Variation
Antonio Almud\'evar, Alfonso Ortega
https://arxiv.org/abs/2408.07016 https://mastoxiv.page/@arXiv_csLG_bot/112959235461894530
- Minibatch Optimal Transport and Perplexity Bound Estimation in Discrete Flow Matching
Etrit Haxholli, Yeti Z. Gurbuz, Ogul Can, Eli Waxman
https://arxiv.org/abs/2411.00759 https://mastoxiv.page/@arXiv_csLG_bot/113423933393275133
- Predicting Subway Passenger Flows under Incident Situation with Causality
Xiannan Huang, Shuhan Qiu, Quan Yuan, Chao Yang
https://arxiv.org/abs/2412.06871 https://mastoxiv.page/@arXiv_csLG_bot/113632934357523592
- Characterizing LLM Inference Energy-Performance Tradeoffs across Workloads and GPU Scaling
Paul Joe Maliakel, Shashikant Ilager, Ivona Brandic
https://arxiv.org/abs/2501.08219 https://mastoxiv.page/@arXiv_csLG_bot/113831081884570770
- Universality of Benign Overfitting in Binary Linear Classification
Ichiro Hashimoto, Stanislav Volgushev, Piotr Zwiernik
https://arxiv.org/abs/2501.10538 https://mastoxiv.page/@arXiv_csLG_bot/113872351652969955
- Safe Reinforcement Learning for Real-World Engine Control
Julian Bedei, Lucas Koch, Kevin Badalian, Alexander Winkler, Patrick Schaber, Jakob Andert
https://arxiv.org/abs/2501.16613 https://mastoxiv.page/@arXiv_csLG_bot/113910356206562660
- A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers
Roman Tarasov, Petr Mokrov, Milena Gazdieva, Evgeny Burnaev, Alexander Korotin
https://arxiv.org/abs/2502.01310
- Improving the Convergence of Private Shuffled Gradient Methods with Public Data
Shuli Jiang, Pranay Sharma, Zhiwei Steven Wu, Gauri Joshi
https://arxiv.org/abs/2502.03652 https://mastoxiv.page/@arXiv_csLG_bot/113961314098841096
- Using the Path of Least Resistance to Explain Deep Networks
Sina Salek, Joseph Enguehard
https://arxiv.org/abs/2502.12108 https://mastoxiv.page/@arXiv_csLG_bot/114023706252106865
- Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence
Wenzhe Yin, Zehao Xiao, Pan Zhou, Shujian Yu, Jiayi Shen, Jan-Jakob Sonke, Efstratios Gavves
https://arxiv.org/abs/2502.17028 https://mastoxiv.page/@arXiv_csLG_bot/114063477202397951
- Armijo Line-search Can Make (Stochastic) Gradient Descent Provably Faster
Sharan Vaswani, Reza Babanezhad
https://arxiv.org/abs/2503.00229 https://mastoxiv.page/@arXiv_csLG_bot/114103018985567633
- Semantic Parallelism: Redefining Efficient MoE Inference via Model-Data Co-Scheduling
Yan Li, Zhenyu Zhang, Zhengang Wang, Pengfei Chen, Pengfei Zheng
https://arxiv.org/abs/2503.04398 https://mastoxiv.page/@arXiv_csLG_bot/114120014622063602
- A Survey on Federated Fine-tuning of Large Language Models
Wu, Tian, Li, Sun, Tam, Zhou, Liao, Xiong, Guo, Li, Xu
https://arxiv.org/abs/2503.12016 https://mastoxiv.page/@arXiv_csLG_bot/114182234054681647
- Towards Trustworthy GUI Agents: A Survey
Yucheng Shi, Wenhao Yu, Jingyuan Huang, Wenlin Yao, Wenhu Chen, Ninghao Liu
https://arxiv.org/abs/2503.23434 https://mastoxiv.page/@arXiv_csLG_bot/114263024618476521
- CONTINA: Confidence Interval for Traffic Demand Prediction with Coverage Guarantee
Chao Yang, Xiannan Huang, Shuhan Qiu, Yan Cheng
https://arxiv.org/abs/2504.13961 https://mastoxiv.page/@arXiv_csLG_bot/114380404041503229
- Regularity and Stability Properties of Selective SSMs with Discontinuous Gating
Nikola Zubi\'c, Davide Scaramuzza
https://arxiv.org/abs/2505.11602 https://mastoxiv.page/@arXiv_csLG_bot/114538965060456498
- RECON: Robust symmetry discovery via Explicit Canonical Orientation Normalization
Alonso Urbano, David W. Romero, Max Zimmer, Sebastian Pokutta
https://arxiv.org/abs/2505.13289 https://mastoxiv.page/@arXiv_csLG_bot/114539124884913788
- RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models
Yilang Zhang, Bingcong Li, Georgios B. Giannakis
https://arxiv.org/abs/2505.18877 https://mastoxiv.page/@arXiv_csLG_bot/114578778213033886
- SuperMAN: Interpretable and Expressive Networks over Temporally Sparse Heterogeneous Data
Bechler-Speicher, Zerio, Huri, Vestergaard, Gilad-Bachrach, Jess, Bhatt, Sazonovs
https://arxiv.org/abs/2505.19193 https://mastoxiv.page/@arXiv_csLG_bot/114578790124778172
toXiv_bot_toot
"So it’s not enough to equate Trump’s legions to the Gestapo or the Klan. (I’ve done both.) He also is the 21st-century version of Attila or Genghis Khan, heading a horde that is defined by an exterminationist loathing of cities and all that they stand for and promote. Their diversity, their toleration, their culture, their solidarity across racial and other lines—all are threats to the horde’s and its ruler’s autocratic monoculture. On the streets, the horde’s loathing manifests as indifference (at least) to the loss of city dwellers’ lives.
As it is the 21st century, and as we have an 18th-century Constitution, Trump’s impulse for city sacking Š la Attila is constrained by laws and customs, but he’s plainly determined to find ways around as many of those constraints as he possibly can. Correspondingly, a good share of the fear he’s engendered all across America has an ancient pedigree: It’s the fear of the barbarians at the gates."
#USPolitics
https://prospect.org/2026/01/15/attila-genghis-khan-trump/
Not only are the ICE/CBP goons - the US Stasi and Republican Gestapo - not apologizing for murdering people in the streets, they are saying that they are the victims.
"ICE boss defends immigration enforcement tactics in Minnesota"
As far as I am concerned every member of ICE/CBP, from the lowest member to the highest manager (and I mean *all* the way to the top - remember the "unitary executive" theory>?) should be put before a tribunal, operated by a State…
Gustavo Petro of Colombia and Donald Trump have had a tense relationship
that escalated into threats by Mr. Trump,
before easing.
Anything could happen at their Feb. 3 meeting.
The meeting between the two presidents
— arranged after Trump threatened Mr. Petro with military action
— is meant to de-escalate tensions, diplomats said.
It is also meant to address topics such as “the fight against transnational organized crime, especially on the border,”…