Tootfinder

Opt-in global Mastodon full text search. Join the index!

No exact results. Similar results found.
@arXiv_csLG_bot@mastoxiv.page
2026-02-25 16:08:08

Replaced article(s) found for cs.LG. arxiv.org/list/cs.LG/new
[4/6]:
- Neural Proposals, Symbolic Guarantees: Neuro-Symbolic Graph Generation with Hard Constraints
Chuqin Geng, Li Zhang, Mark Zhang, Haolin Ye, Ziyu Zhao, Xujie Si
arxiv.org/abs/2602.16954 mastoxiv.page/@arXiv_csLG_bot/
- Multi-Probe Zero Collision Hash (MPZCH): Mitigating Embedding Collisions and Enhancing Model Fres...
Ziliang Zhao, et al.
arxiv.org/abs/2602.17050 mastoxiv.page/@arXiv_csLG_bot/
- MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sam...
Fu, Lin, Fang, Zheng, Hu, Shao, Qin, Pan, Zeng, Cai
arxiv.org/abs/2602.17550 mastoxiv.page/@arXiv_csLG_bot/
- A Theoretical Framework for Modular Learning of Robust Generative Models
Corinna Cortes, Mehryar Mohri, Yutao Zhong
arxiv.org/abs/2602.17554 mastoxiv.page/@arXiv_csLG_bot/
- Multi-Round Human-AI Collaboration with User-Specified Requirements
Sima Noorani, Shayan Kiyani, Hamed Hassani, George Pappas
arxiv.org/abs/2602.17646 mastoxiv.page/@arXiv_csLG_bot/
- NEXUS: A compact neural architecture for high-resolution spatiotemporal air quality forecasting i...
Rampunit Kumar, Aditya Maheshwari
arxiv.org/abs/2602.19654 mastoxiv.page/@arXiv_csLG_bot/
- Augmenting Lateral Thinking in Language Models with Humor and Riddle Data for the BRAINTEASER Task
Mina Ghashami, Soumya Smruti Mishra
arxiv.org/abs/2405.10385 mastoxiv.page/@arXiv_csCL_bot/
- Watermarking Language Models with Error Correcting Codes
Patrick Chao, Yan Sun, Edgar Dobriban, Hamed Hassani
arxiv.org/abs/2406.10281 mastoxiv.page/@arXiv_csCR_bot/
- Learning to Control Unknown Strongly Monotone Games
Siddharth Chandak, Ilai Bistritz, Nicholas Bambos
arxiv.org/abs/2407.00575 mastoxiv.page/@arXiv_csMA_bot/
- Classification and reconstruction for single-pixel imaging with classical and quantum neural netw...
Sofya Manko, Dmitry Frolovtsev
arxiv.org/abs/2407.12506 mastoxiv.page/@arXiv_quantph_b
- Statistical Inference for Temporal Difference Learning with Linear Function Approximation
Weichen Wu, Gen Li, Yuting Wei, Alessandro Rinaldo
arxiv.org/abs/2410.16106 mastoxiv.page/@arXiv_statML_bo
- Big data approach to Kazhdan-Lusztig polynomials
Abel Lacabanne, Daniel Tubbenhauer, Pedro Vaz
arxiv.org/abs/2412.01283 mastoxiv.page/@arXiv_mathRT_bo
- MoEMba: A Mamba-based Mixture of Experts for High-Density EMG-based Hand Gesture Recognition
Mehran Shabanpour, Kasra Rad, Sadaf Khademi, Arash Mohammadi
arxiv.org/abs/2502.17457 mastoxiv.page/@arXiv_eessSP_bo
- Tightening Optimality gap with confidence through conformal prediction
Miao Li, Michael Klamkin, Russell Bent, Pascal Van Hentenryck
arxiv.org/abs/2503.04071 mastoxiv.page/@arXiv_statML_bo
- SEED: Towards More Accurate Semantic Evaluation for Visual Brain Decoding
Juhyeon Park, Peter Yongho Kim, Jiook Cha, Shinjae Yoo, Taesup Moon
arxiv.org/abs/2503.06437 mastoxiv.page/@arXiv_csCV_bot/
- How much does context affect the accuracy of AI health advice?
Prashant Garg, Thiemo Fetzer
arxiv.org/abs/2504.18310 mastoxiv.page/@arXiv_econGN_bo
- Reproducing and Improving CheXNet: Deep Learning for Chest X-ray Disease Classification
Daniel J. Strick, Carlos Garcia, Anthony Huang, Thomas Gardos
arxiv.org/abs/2505.06646 mastoxiv.page/@arXiv_eessIV_bo
- Sharp Gaussian approximations for Decentralized Federated Learning
Soham Bonnerjee, Sayar Karmakar, Wei Biao Wu
arxiv.org/abs/2505.08125 mastoxiv.page/@arXiv_statML_bo
- HoloLLM: Multisensory Foundation Model for Language-Grounded Human Sensing and Reasoning
Chuhao Zhou, Jianfei Yang
arxiv.org/abs/2505.17645 mastoxiv.page/@arXiv_csCV_bot/
- A Copula Based Supervised Filter for Feature Selection in Diabetes Risk Prediction Using Machine ...
Agnideep Aich, Md Monzur Murshed, Sameera Hewage, Amanda Mayeaux
arxiv.org/abs/2505.22554 mastoxiv.page/@arXiv_statML_bo
- Synthesis of discrete-continuous quantum circuits with multimodal diffusion models
Florian F\"urrutter, Zohim Chandani, Ikko Hamamura, Hans J. Briegel, Gorka Mu\~noz-Gil
arxiv.org/abs/2506.01666 mastoxiv.page/@arXiv_quantph_b
toXiv_bot_toot

@hex@kolektiva.social
2026-02-28 10:20:01

As salty as I am about it, there's also another way to think about this. For anyone who still has connections to folks on the right (which is perhaps unlikely for anyone on this server, I digress), the cult that has consumed them thrives on isolation and grievance.
The words "you were right" have the potential to cut through the programming and open up an opportunity for reconnection. The modern conspiratorial cult of the Right has been built partially around people who were told they were wrong or were crazy. In the vast majority of cases, they were wrong and even when they were right they completely misunderstood why, but we'll skip that for now. Liberals making fun of them (even the times when they definitely earned it) has pushed them further and further into their ideological hole.
The thing about those words, "you were right," in this context is that the way they offer reconnection also requires them to take one little step of betraying their ideology to accept them. So they must choose between maintaining allegiance to a pedophile or finally getting to feel superior after years of living in an illusion of persecution.
Under the ideology of the Right, admitting one is wrong is a weakness. It is admitting defeat. They have to "own the libs" by saying things, things that they know aren't true, in order to feel dominant. But these things are often so absurd that they end up being made fun of, feeling even more weak and pathetic, reinforcing their fear and alienation.
Offering what they're looking for can offer a way out, but only if they're willing to start to recognize the thing they've supported for what it is.
And they were right about some things. They were right that Bill Gates was a terrible person. I've had plenty of liberals defend him based on his philanthropy washing, but he's awful and always has been. The Epstein links make that blatant. They intuitively recognized him and didn't trust him, even if they were wildly off base about *how and why* he shouldn't be trusted... Even if their correct mistrust was leveraged into one of the most destructive conspiracy theories ever (vaccine denial and COVID vaccine avoidance).
They were right about Bill Clinton. He was always shady as fuck. Sure, the people who attacked him at the time turned out to be even more shady but that's not the point right now. He was connected to Epstein and that was always creepy as fuck.
And the Epstein thing was an open secret that liberals ignored for a long time. It was seen as some weird thing that right wing nutjobs believed about the Clintons. But it was true. Not all of it, and there has always been an antisemitic element to the right wing interpretation or Epstein stuff, but his whole pedophile conspiracy was always kind of real.
The whole "Illuminati"/deep state thing is a vast oversimplification, an attempt to make comprehensible an incredibly complex set of interlocking and emergent behaviors. But Epstein did very much want to remake the world, to create a new world order, and he absolutely played a part in it.
The Right wing nutjobs talked about global authoritarianism, Blackhawks flying over American cities, masked men with guns disarming and executing legal gun owners in the streets. That's all happening right now.
The "FEMA concentration camps" are not actually that far off. ICE and FEMA are sister agencies, both under DHS. I'd be more than happy to call that one "close enough" in order to hear some MAGA admit that ICE is, in fact, building concentration camps.
There was always a huge millennialist element to these things. They tended to be connected to "the antichrist." It was absurd, especially for me as someone who no longer identifies as a Christian. But I'll even acquiess that to a degree. The "the number of the Beast" is 666. That's just the sum of the Hebrew spelling of "Nero." Revelations focuses a lot on Nero coming back to life after his death. His death that involved a head wound, thus the line from Revelation 13:3:
> And I saw one of his heads as if it had been mortally wounded, and his deadly wound was healed. And all the world marveled and followed the beast.
The parallels between Trump and Nero are easy to draw, and Trump's ear wound feels pretty on-the-nose for this. I don't believe in "prophecy" in this way. I think that there are patterns, and useful patterns can become encoded in beleif systems. But I will, again, happily call this one "close enough" for anyone on that side willing to also acknowledge it. I'm happy to meet on that common ground, because anyone who accepts it must recognize that their duty is to fight against it.
A lot of these correct nuggets are embedded in a framework of religious extremism and antisemitism. The vast majority of the beliefs holding these together are wildly wrong and incredibly toxic. But by giving some room to feel validated, listened to, understood, can give some room to admit things that were wrong.
Cult de-programming starts with an opening. People have to talk through their own thoughts, hear their own inconsistencies. Guiding questions can help them untangle these things for themselves. And it all starts by having enough room to feel safe, to not feel cornered, to not feel stupid. Admitting mistakes means being vulnerable, and the MAGA cult is built on fear. It's built on exploiting vulnerability and locking it away.
De-programming takes a long time. It's not easy. It takes patience. But every person who comes out does so with a powerful perspective, a deep understanding, that can be turned back against it. The best people at getting people out of cults are former members. Some of the most dedicated antifa are former fascists who understood their mistakes and dedicate their lives to fixing them.

@teledyn@mstdn.ca
2026-02-07 23:39:22

A new #Nextcloud adventure: having installed the new Social refactoring and passed the webfinger and ssl tests, was still unable to load some profiles and no interactions went out or came in.
Then I noticed PullRequest-5 - not knowing at all what I was doing - so I installed gh, authorized it, did the pull, composer, run sequence, and while the existing open tab for Social continued as before, 'Social' was now gone from the NC admin and menu!
"app": "core",
"method": "GET",
"url": "/settings/apps/list",
"message": "Could not read app info file for app \"social\""
Google/DDG are mute on what or where an app info file might be, and NC docs only say you can register an app and maybe perhaps the tarball will contain one? Perhaps the PR munged it? 🤷
So a new adventure begins …

@Techmeme@techhub.social
2026-02-14 07:31:01

BNP Paribas analysis: Anthropic saw visits to its site jump 6.5% after its Super Bowl ad and DAUs jump 11% post-game, outperforming other AI companies (Samantha Subin/CNBC)
cnbc.com/2026/02/13/anthropic-

@kurtsh@mastodon.social
2025-12-24 18:08:26

Got a Surface Laptop Studio 2? Or just need a 100W USB-Power Delivery charger?
My new favorite charger is the "Anker Prime Charger, 160W 3-Port (140W on a single port). Perfect for a power-hungry laptop smartphone.
amazon.com/Anker-Charger-Compa

@arXiv_physicsinsdet_bot@mastoxiv.page
2026-02-03 08:51:39

Inter-detector differential fuzz testing for tamper detection in gamma spectrometers
Pei Yao Li, Jayson R. Vavrek, Sean Peisert
arxiv.org/abs/2602.00336 arxiv.org/pdf/2602.00336 arxiv.org/html/2602.00336
arXiv:2602.00336v1 Announce Type: new
Abstract: We extend physical differential fuzz testing as an anti-tamper method for radiation detectors [Vavrek et al., Science and Global Security 2025] to comparisons across multiple detector units. The method was previously introduced as a tamper detection method for authenticating a single radiation detector in nuclear safeguards and treaty verification scenarios, and works by randomly sampling detector configuration parameters to produce a sequence of spectra that form a baseline signature of an untampered system. At a later date, after potential tampering, the same random sequence of parameters is used to generate another series of spectra that can be compared against the baseline. Anomalies in the series of comparisons indicate changes in detector behavior, which may be due to tampering. One limitation of this original method is that once the detector has `gone downrange' and may have been tampered with, the original baseline is fixed, and a new trusted baseline can never be established if tests at new parameters are required. In this work, we extend our anti-tamper fuzz testing concept to multiple detector units, such that the downrange detector can be compared against a trusted or `golden copy' detector, even despite normal inter-detector manufacturing variations. We show using three NaI detectors that this inter-detector differential fuzz testing can detect a representative attack, even when the tested and golden copy detectors are from different manufacturers and have different performances. Here, detecting tampering requires visualizing the comparison metric vs. the parameter values and not just the sample number; moreover this baseline is non-linear and may require anomaly detection methods more complex than a simple threshold. Overall, this extension to multiple detectors improves prospects for operationalizing the technique in real-world treaty verification and safeguards contexts.
toXiv_bot_toot

@arXiv_physicsaccph_bot@mastoxiv.page
2026-02-17 08:46:33

Demonstration of High-Gain Harmonic Lasing in a Terahertz Free-Electron Laser
Yin Kang, Cheng Yu, Yue Wang, Weiyi Yin, Zhangfeng Gao, Hanghua Xu, Hang Luo, Jian Chen, Taihe Lan, Xiaoqing Liu, Jinguo Wang, Huan Zhao, Fei Gao, Liping Sun, YanYan Zhu, Yongmei Wen, Chengcheng Xiao, Yongfang Liu, Yixuan Liu, Xingtao Wang, Jiaqiang Xu, Zheng Qi, Tao Liu, Bin Li, Kaiqing Zhang, Zhen Wang, Chao Feng, Bo Liu, Zhentang Zhao
arxiv.org/abs/2602.13743 arxiv.org/pdf/2602.13743 arxiv.org/html/2602.13743
arXiv:2602.13743v1 Announce Type: new
Abstract: Compact Free-Electron Lasers (FELs) offering broad, continuous spectral tunability are traditionally constrained by fixed-parameter magnetic structures and the necessity for high-energy electron beams. High-gain Harmonic Lasing (HL) has long been proposed as a solution to overcome these limitations; however, a robust experimental verification of this principle has remained absent. Here, we report the first experimental demonstration of high-gain HL. By employing a frequency-tunable electron beam density modulation to dominate the fundamental instability, we achieved sustained FEL amplification at the 3rd and 5th harmonics of the wiggler. The HL mode generated output power comparable to conventional fundamental operation with enhanced stability and narrower spectral bandwidth. Notably, we demonstrate that HL extends the spectral coverage by a factor of two under fixed facility constraints, achieving pulse energies up to 540 {\mu}J. These results establish high-gain HL as a versatile mechanism for advancing compact, wavelength-flexible FEL facilities.
toXiv_bot_toot

@pre@boing.world
2026-02-19 18:40:32

Half way through the Hoopla Improv Story narrative course and we actually attempt a couple of 20 minute stories.
One pretty confused one about a voyage to find unicorns which ended up about time-travellers due to mixups.
And one about the child of a missing astronaut seeking his father by joining a space mission.
Edits are what made the main difference here. Shouting "Cut to the jail" left half the players thinking they were in a flashback and the other half thinking they were in the consequences of the previous scene. Thus one ending up being a time-traveler.
A more coherent edit might have been "Flashback to jail", and these more coherent edits are key to what made the second story less chaotic and more whole. "Cut to the training test" or "Flashback to school where a teacher is impressed with the protagonist"
I like a game with a narrator. The narrator can give the story structure and theme and act as a director of the action. But we can do that without a narrator if the edits are well thought out and shouted clearly enough to keep the actors on the same track.
Mind you, the chaos is the funny bit usually.
#improv #hooplaImpro #london