Tootfinder

On the Hardness of Unsupervised Domain Adaptation: Optimal Learners and Information-Theoretic Perspective
Zhiyi Dong, Zixuan Liu, Yongyi Mao
https://arxiv.org/abs/2507.06552

On the Hardness of Unsupervised Domain Adaptation: Optimal Learners and Information-Theoretic Perspective
This paper studies the hardness of unsupervised domain adaptation (UDA) under covariate shift. We model the uncertainty that the learner faces by a distribution $π$ in the ground-truth triples $(p, q, f)$ -- which we call a UDA class -- where $(p, q)$ is the source -- target distribution pair and $f$ is the classifier. We define the performance of a learner as the overall target domain risk, averaged over the randomness of the ground-truth triple. This formulation couples the source distributi…

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT
Aaron Hurst, Andrey V. Kalinichev, Klaus Koren, Daniel E. Lucani
https://arxiv.org/abs/2506.09186

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT
Sensors provide a vital source of data that link digital systems with the physical world. However, as sensors age, the relationship between what they measure and what they output changes. This is known as sensor drift and poses a significant challenge that, combined with limited opportunity for re-calibration, can severely limit data quality over time. Previous approaches to drift correction typically require large volumes of ground truth data and do not consider measurement or prediction uncer…

“Time to drop the really big bomb,” Elon Musk wrote on social media.
Donald Trump, he said, “is in the Epstein files. That is why they have not been made public.”
Musk did not offer any evidence, but soon added,
“The truth will come out.”
https…

Elon Musk Suggests Trump Is in Epstein Files, a Source of Conspiracy Theories
In a spat with President Trump, Elon Musk invokes the Epstein files, a source of endless speculation and conspiracy.

This. Please read, share, and act. 
@StandUpForScience
https://www.linkedin.com/posts/rentzhog_makesciencegre…

One of the highlights of my WWDC week was playing keyboard for @…'s new song, Source of Truth:
https://www.youtube.com/live/RJdJMmfIENo?s

Conceal Truth while Show Fake: T/F Frequency Multiplexing based Anti-Intercepting Transmission
Zhisheng Yin, Nan Cheng, Tom H. Luan, Mingjie Wang, Dongbo Li, Yiliang Liu, Changle Li
https://arxiv.org/abs/2506.00811

Conceal Truth while Show Fake: T/F Frequency Multiplexing based Anti-Intercepting Transmission
In wireless communication adversarial scenarios, signals are easily intercepted by non-cooperative parties, exposing the transmission of confidential information. This paper proposes a true-and-false (T/F) frequency multiplexing based anti-intercepting transmission scheme capable of concealing truth while showing fake (CTSF), integrating both offensive and defensive strategies. Specifically, through multi-source cooperation, true and false signals are transmitted over multiple frequency bands u…

Approximate Logic Synthesis Using BLASYS
Jingxiao Ma, Soheil Hashemi, Sherief Reda
https://arxiv.org/abs/2506.22772 https://arxiv.org…

Approximate Logic Synthesis Using BLASYS
Approximate computing is an emerging paradigm where design accuracy can be traded for improvements in design metrics such as design area and power consumption. In this work, we overview our open-source tool, BLASYS, for synthesis of approximate circuits using Boolean Matrix Factorization (BMF). In our methodology the truth table of a given circuit is approximated using BMF to a controllable approximation degree, and the results of the factorization are used to synthesize the approximate circuit…

Evaluating Disassembly Errors With Only Binaries
Lambang Akbar Wijayadi, Yuancheng Jiang, Roland H. C. Yap, Zhenkai Liang, Zhuohao Liu
https://arxiv.org/abs/2506.20109

Evaluating Disassembly Errors With Only Binaries
Disassemblers are crucial in the analysis and modification of binaries. Existing works showing disassembler errors largely rely on practical implementation without specific guarantees and assume source code and compiler toolchains to evaluate ground truth. However, the assumption of source code is contrary to typical binary scenarios where only the binary is available. In this work, we investigate an approach with minimal assumptions and a sound approach to disassembly error evaluation that doe…

Beyond Syntax: Action Semantics Learning for App Agents
Bohan Tang, Dezhao Luo, Jingxuan Chen, Shaogang Gong, Jianye Hao, Jun Wang, Kun Shao
https://arxiv.org/abs/2506.17697

Beyond Syntax: Action Semantics Learning for App Agents
The advent of Large Language Models (LLMs) enables the rise of App agents that interpret user intent and operate smartphone Apps through actions such as clicking and scrolling. While prompt-based solutions with closed LLM APIs show promising ability, they incur heavy compute costs and external API dependency. Fine-tuning smaller open-source LLMs solves these limitations. However, current fine-tuning methods use a syntax learning paradigm that forces agents to reproduce exactly the ground truth …

Deep learning inference with the Event Horizon Telescope II. The Zingularity framework for Bayesian artificial neural networks
M. Janssen, C. -k. Chan, J. Davelaar, M. Wielgus
https://arxiv.org/abs/2506.13875

Deep learning inference with the Event Horizon Telescope II. The Zingularity framework for Bayesian artificial neural networks
(abridged) In this second paper in our publication series, we present the open-source Zingularity framework for parameter inference with deep Bayesian artificial neural networks. We carried out out supervised learning with synthetic millimeter very long baseline interferometry observations of the EHT. Our ground-truth models are based on GRMHD simulations of Sgr A* and M87* on horizon scales. We investigated how well Zingularity neural networks are able to infer key model parameters from EHT ob…

"But there were technologists and open source projects in attendance. Notably, representatives from the Mastodon and Bluesky teams were at the Festival. The Newsmast Foundation was also present, incisively taking part in conversations to help newsrooms onboard themselves onto both of them. I got to hang out with them all, connecting with people I’d spoken with but never interacted with in person. Mastodon has undergone a transformation, has doubled its team, and is working on smoothing out some of its rough edges, while not letting go of its core ethos. It’s also beginning to position itself as a European alternative to American social media platforms, with a community-first values system and new services to directly help organizations join the network.
Bluesky, on the other hand, has done an able job of bringing journalists onto its existing social app, and is now hard at work explaining why its underlying protocol matters. Both want to engage with newsrooms and journalists and do the right thing by them. They each have something different to prove: Mastodon that it can be usable and accessible, and Bluesky that it can provide a return to its investors and truly decentralize while holding onto its values. I’m rooting for both of them.
These platforms’ messages dovetail with my own: news can own the platforms that support them. Lots of people at the Festival were worried about the impact of US big tech on their businesses — particularly in a world where tech moguls seem to be aligning themselves with a Presidential administration that has positioned itself as being adversarial to news, journalists, sources, and, arguably, the truth. The good news is that the technology is out there, the values-aligned technologists are out there, and there’s a strong path forward. The only thing left is to follow it."
#media #Mastodon #BlueSky #Journalism
https://werd.io/2025/notes-from-perugia-journalism-values-and-building-the-web-we