Tootfinder

"These vulnerabilities are exacerbated by the use of just-in-time supply chains and the funnelling of much of the world’s trade through a number of chokepoints. Some people have long warned that the strait of #Hormuz, alongside the Suez canal, Turkish straits, Panama canal and straits of Malacca, are critical chokepoints, whose obstruction would threaten the flow of

The UK government didn't want you to see this report on ecosystem collapse. I'm not surprised https://www.theguardian.com/commentisfree/2026/jan/27/uk-government-report-ecosystem-collapse-foi-national-security

Rowspace, which builds AI tools for PE firms and hedge funds to organize unstructured data for decision-making, launches with $50M in seed and Series A funding (Leo Schwartz/Fortune)
https://fortune.com/2026/02/25/rowspace-sequ…

Exclusive: AI financial platform Rowspace raises $50 million round led by Sequoia to help investment firms take on messy data
Rowspace was founded by former Notion CTO Michael Manapat and former Uber corporate development director Yibo Ling.

🇺🇦 #NowPlaying on KEXP's #MorningShow
Sky Cries Mary:
🎵 Moonbathing
#SkyCriesMary
https://skycriesmary.bandcamp.com/album/moonbathing-on-sleeping-leaves
https://open.spotify.com/track/0R1t5owUXmMMZN9i9kzJxB

Monbiot sounding a bit 'carbon tunnel vision' and ecomodernist here.
He doesn't even mention energy reduction: just energy conservation (without defining it) and efficiency.
He knows better.
Who’d have thought a fossil-fuel shill like Trump would be the one to spark a green revolution? | George Monbiot | The Guardian

➡️ Isn't it about time people start paying a little more attention to George Monbiot?
He is on the side of 🌱 survival, and if we don't start paying attention to his analysis of our time now, future historians (if our civilisation survives at all) will wonder why he was not listened to more.
As voters, we must hurry and elect as many people as possible who think like Monbiot, or
👋🏼 goodbye democracy, goodbye environment.

Mandelson’s Fifth Column
The British government’s business department exists to undermine democracy.

Trump has done more to accelerate the energy transition than anyone else alive.
Fossil fuel companies bankrolled his presidential campaign to stop the transition in its tracks.
-- But when you back a volatile narcissist, unable to concentrate for more than a few minutes at a time, you shouldn’t expect to control the outcome.
It’s not that the fossils are suffering yet.
As prices have soared since Trump and Netanyahu attacked Iran, oil executives have been selling sha…

RE: https://mastodon.social/@tazgetroete/116085907850284962
Selbst wenn es kein kompletter Mumpitz wäre…
Ich hab nachgedacht. Ich würde beim verfügbaren Einkommen davon profitieren, aber wovon ich noch mehr profitieren würde als von solchen Kürzu…

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

🇺🇦 #NowPlaying on KEXP's #MorningShow
Death Cab for Cutie:
🎵 Crooked Teeth
#DeathCabforCutie
https://moonbatanarchisttheory.bandcamp.com/track/death-cab-for-cutie-crooked-teeth
https://open.spotify.com/track/4Qmm1kIX3RO1DKdsYQbLK0