Tootfinder

Trump’s First Year Sparks Popular Resistance in US
#Trump

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[2/5]:
- The Diffusion Duality
Sahoo, Deschenaux, Gokaslan, Wang, Chiu, Kuleshov
https://arxiv.org/abs/2506.10892 https://mastoxiv.page/@arXiv_csLG_bot/114675526577078472
- Multimodal Representation Learning and Fusion
Jin, Ge, Xie, Luo, Song, Bi, Liang, Guan, Yeong, Song, Hao
https://arxiv.org/abs/2506.20494 https://mastoxiv.page/@arXiv_csLG_bot/114749113025183688
- The kernel of graph indices for vector search
Mariano Tepper, Ted Willke
https://arxiv.org/abs/2506.20584 https://mastoxiv.page/@arXiv_csLG_bot/114749118923266356
- OptScale: Probabilistic Optimality for Inference-time Scaling
Youkang Wang, Jian Wang, Rubing Chen, Xiao-Yong Wei
https://arxiv.org/abs/2506.22376 https://mastoxiv.page/@arXiv_csLG_bot/114771735361664528
- Boosting Revisited: Benchmarking and Advancing LP-Based Ensemble Methods
Fabian Akkerman, Julien Ferry, Christian Artigues, Emmanuel Hebrard, Thibaut Vidal
https://arxiv.org/abs/2507.18242 https://mastoxiv.page/@arXiv_csLG_bot/114913322736512937
- MolMark: Safeguarding Molecular Structures through Learnable Atom-Level Watermarking
Runwen Hu, Peilin Chen, Keyan Ding, Shiqi Wang
https://arxiv.org/abs/2508.17702 https://mastoxiv.page/@arXiv_csLG_bot/115095014405732247
- Dual-Distilled Heterogeneous Federated Learning with Adaptive Margins for Trainable Global Protot...
Fatema Siddika, Md Anwar Hossen, Wensheng Zhang, Anuj Sharma, Juan Pablo Mu\~noz, Ali Jannesari
https://arxiv.org/abs/2508.19009 https://mastoxiv.page/@arXiv_csLG_bot/115100269482762688
- STDiff: A State Transition Diffusion Framework for Time Series Imputation in Industrial Systems
Gary Simethy, Daniel Ortiz-Arroyo, Petar Durdevic
https://arxiv.org/abs/2508.19011 https://mastoxiv.page/@arXiv_csLG_bot/115100270137397046
- EEGDM: Learning EEG Representation with Latent Diffusion Model
Shaocong Wang, Tong Liu, Yihan Li, Ming Li, Kairui Wen, Pei Yang, Wenqi Ji, Minjing Yu, Yong-Jin Liu
https://arxiv.org/abs/2508.20705 https://mastoxiv.page/@arXiv_csLG_bot/115111565155687451
- Data-Free Continual Learning of Server Models in Model-Heterogeneous Cloud-Device Collaboration
Xiao Zhang, Zengzhe Chen, Yuan Yuan, Yifei Zou, Fuzhen Zhuang, Wenyu Jiao, Yuke Wang, Dongxiao Yu
https://arxiv.org/abs/2509.25977 https://mastoxiv.page/@arXiv_csLG_bot/115298721327100391
- Fine-Tuning Masked Diffusion for Provable Self-Correction
Jaeyeon Kim, Seunggeun Kim, Taekyun Lee, David Z. Pan, Hyeji Kim, Sham Kakade, Sitan Chen
https://arxiv.org/abs/2510.01384 https://mastoxiv.page/@arXiv_csLG_bot/115309690976554356
- A Generic Machine Learning Framework for Radio Frequency Fingerprinting
Alex Hiles, Bashar I. Ahmad
https://arxiv.org/abs/2510.09775 https://mastoxiv.page/@arXiv_csLG_bot/115372387779061015
- ASecond-Order SpikingSSM for Wearables
Kartikay Agrawal, Abhijeet Vikram, Vedant Sharma, Vaishnavi Nagabhushana, Ayon Borthakur
https://arxiv.org/abs/2510.14386 https://mastoxiv.page/@arXiv_csLG_bot/115389079527543821
- Utility-Diversity Aware Online Batch Selection for LLM Supervised Fine-tuning
Heming Zou, Yixiu Mao, Yun Qu, Qi Wang, Xiangyang Ji
https://arxiv.org/abs/2510.16882 https://mastoxiv.page/@arXiv_csLG_bot/115412243355962887
- Seeing Structural Failure Before it Happens: An Image-Based Physics-Informed Neural Network (PINN...
Omer Jauhar Khan, Sudais Khan, Hafeez Anwar, Shahzeb Khan, Shams Ul Arifeen
https://arxiv.org/abs/2510.23117 https://mastoxiv.page/@arXiv_csLG_bot/115451891042176876
- Training Deep Physics-Informed Kolmogorov-Arnold Networks
Spyros Rigas, Fotios Anagnostopoulos, Michalis Papachristou, Georgios Alexandridis
https://arxiv.org/abs/2510.23501 https://mastoxiv.page/@arXiv_csLG_bot/115451942159737549
- Semi-Supervised Preference Optimization with Limited Feedback
Seonggyun Lee, Sungjun Lim, Seojin Park, Soeun Cheon, Kyungwoo Song
https://arxiv.org/abs/2511.00040 https://mastoxiv.page/@arXiv_csLG_bot/115490555013124989
- Towards Causal Market Simulators
Dennis Thumm, Luis Ontaneda Mijares
https://arxiv.org/abs/2511.04469 https://mastoxiv.page/@arXiv_csLG_bot/115507943827841017
- Incremental Generation is Necessary and Sufficient for Universality in Flow-Based Modelling
Hossein Rouhvarzi, Anastasis Kratsios
https://arxiv.org/abs/2511.09902 https://mastoxiv.page/@arXiv_csLG_bot/115547587245365920
- Optimizing Mixture of Block Attention
Guangxuan Xiao, Junxian Guo, Kasra Mazaheri, Song Han
https://arxiv.org/abs/2511.11571 https://mastoxiv.page/@arXiv_csLG_bot/115564541392410174
- Assessing Automated Fact-Checking for Medical LLM Responses with Knowledge Graphs
Shasha Zhou, Mingyu Huang, Jack Cole, Charles Britton, Ming Yin, Jan Wolber, Ke Li
https://arxiv.org/abs/2511.12817 https://mastoxiv.page/@arXiv_csLG_bot/115570877730326947
toXiv_bot_toot

Part of why #Trump has always been so hard to pin down politically is that he was always representing highly conflicting interests. Now, as that eats him alive, the GOP is fracturing in to two main groups: the Pinochet/Franco wing and the Hitler wing.
The Pinochet/Franco wing (let's call them PF) are lead by Vance. PF are also a coalition with some competing interests, but basically it's evangelical leaders, Opus Dei (fascist catholics), tech fascists (Yarvinites), pharma, and the other normal big republican donors. They support Israel, some because apartheid is extremely profitable and some because they support the genocide of Palestinian in order to bring the end of the world. They are split between extremely antisemitic evangelicals and Zionists, wanting similar things for completely different reasons. PF wants strong immigration enforcement because it lets them exploit immigrants, they don't want actual ethnic cleansing (just the constant threat). They want H1B visas because they want to a precarious tech work force. They want to end tariffs because they support free trade and don't actually care about things being made here.
The Hitler wing are lead by Nick Fuentes. I think they're a more unified group, but they're going to try to pull together a coalition that I don't think can really work. They're against Israel because they believe in some bat shit antisemitic conspiracy theory (which they are trying to inject along side legitimate criticism of Israel). They are focused on release of the #EpsteinFiles because they believe that it shows that Epstein worked for Mossad. They don't think that the ICE raids are going far enough, they oppose H1Bs because they are racists. They want a full ethnic cleansing of the US where everyone who isn't "white" is either enslaved for menial labor, deported, or dead. But they're also critical of big business (partially because of conspiracy theories but also) because they think their best option is to push for a white socialism (red/brown alliance).
Both of them want to sink Trump because they see him as standing in the way of their objectives. Both see #Epstein as an opportunity. Both of them have absolutely terrifying visions of authoritarian dictatorships, but they're different dictatorships.with opposing interests. Even within these there may be opportunities to fracture these more.
While these fractures decrease the likelihood of either group getting enough people together, their vision is more clear and thus more likely to succeed if they can make that happen. Now is absolutely *not* the time to just enjoy the collapse, we need to keep up or accelerate anti-fascist efforts to avoid repeating some of the mistakes of history.
Edit:
I should not that this isn't *totally* original analysis. I'll link a video later when I have time to find it.
Here it is:
#USPol

Amazing.
The UAW has this guy’s back. He’s unlikely to actually lose his job. @… https://flipboard.social/@NewsDesk/115894772482908975

France starved, Louis and Marie build magnificent buildings, threw fancy parties, and glutted on exotic foods.
Too bad Trump slept through history classes.
It didn’t turn out well for them,
and I hope Trump eventually sees accountability.
https://bsky.app/profile/gerardtb.bsky

Gerard (@gerardtb.bsky.social)
Let him have the bunker. Tear down every Trump building. Flatten Mar-a-Lago. Erase everything he worked for. A siege can last a long time, but eventually it ends. Just make sure he doesn't flee to his master in Russia.

RE: https://mastodon.social/@Wraithe/115571465145460782
And we’re back. No worm city (I asked - apparently first thing I asked, which tracks) and apparently Trump is still president so..not “so long suckers”
*ahem* um, yeah, glad to still be here wit…

Live updates: Rubio says US won't govern Venezuela but will press changes through oil blockade (Associated Press)
https://apnews.com/live/us-venezuela-trump-maduro-updates-01-04-2026?link_source=ta_bluesky_link&taid=695aa60d3265bb0001581d41
http://www.memeorandum.com/260104/p35#a260104p35

If you’re fed up with Meta right now,
you’re not alone.
Google searches for deleting Facebook and Instagram spiked last week
after Meta announced its latest policy changes.
These changes, seemingly designed to appease the incoming Trump administration,
included loosening Meta’s hate speech policy to allow for the targeting of LGBTQ people and immigrants. 
If these changes
—or Meta’s long history of anti-competitive, censorial, and invasive practice…

Mad at Meta? Don't Let Them Collect and Monetize Your Personal Data
If you’re fed up with Meta right now, you’re not alone. Meta tracks you across millions of websites and apps and its business model relies on your data. If you want to limit Meta’s ability to collect and profit from your personal data, here’s what you need to know.