Tootfinder

But I think that - first of all - Europe needs a strong cost reduction drive for components, systems, and processes in the energy transition, in a cooperation between R&D, manufacturers, and governments, and aligned with scaling up the market for 'made in Europe' solutions. We'll probably not get to the Chinese level, but we need to get a lot closer. This is essential both for competitiveness and affordability.

En Route To Fellaria
(This is just a tiny fragment, but it was one of the most memorable days and places I had a chance to visit in 2025... Surreal not just because of the many colors and textures at this time of year [late September], but also the vastness and traces of processes so much larger & older than life...)
#MountainMonday

Writing isn't thinking. Writing and thinking are two deeply entwined processes with each influencing and being influenced by the other.
You can think without writing. But writing can help massively to improve your thinking because it forces more clarity and specificity.

i have this really problematic hobby where I look at protocols and processes and ask why they are that way.

Doing processes at work that no 'AI' could do, despite knowing that the company I work for just signed a contract with a 'company' that does it's data processing using all 'AI' for our department, without talking to us, and thinking what a fucking trash fire this is going to become

Many people are concerned about the CRA requirements, especially how they map to real-world coordinated vulnerability disclosure (CVD) processes.
I tried to map the standard to the functionality we have in GCVE.eu to see how it could be integrated into a standard CRA process and support compliance.
🔗 https://

Does the Measured Abundance Suggest a Biological Origin for the Ancient Alkanes Preserved in a Martian Mudstone? #Mars Organics: https://science.nasa.gov/blogs/science-news/2026/02/06/nasa-study-non-biologic-processes-dont-fully-explain-mars-organics/

New #ThingUmbrella example to create a parametric, grid layout-based calibration sheet for black and white photography development. The sheet includes different swatches and gradients to measure results/responses of different exposure times and developer solutions/processes. The sheet also includes a placeholder for a custom test image to be added later...
All sheet components are pa…

"Decades of collective work proving that “open source” is not less but at least as secure as commercial offerings now slowly going down the drain. Because a bunch of men – and it is always all men – just don’t want to be responsible for their actions. Which is fine if you are 5. But after 18 it gets old really fucking fast."
(Original title: Diffusion of Responsibility)

Well done Games workshop https://games.slashdot.org/story/26/01/15/0446208/warhammer-maker-games-workshop-bans-its-staff-from-using-ai-in-its-content-or-designs

All the legal battles are about who can exploit users even more. These German processes will not lead to cost reduction through scaling and standardisation, nor will they make EV charging more accessible.

One thing I've noticed in recent years, not solely from government, is the assumption that processes are naturally parallelizable - ie they can be scaled with resources - whereas in reality this can take significant amounts of work to make true.
There's a lot of pre-cloud business processes - and licensing arrangements - that still work with the assumption of "one big computer".

Uzbek fintech and e-commerce company Uzum raised $131.5M led by Oman's sovereign funds, with $81.5M equity, at a $2.3B valuation, up from $1.5B in August 2025 (Jagmeet Singh/TechCrunch)
https://techcrunch.com/2026/03/10/uzbekistans-uzum-va…

Optimal factor matchings for point processes on non-amenable unimodular graphs
Yinon Spinka, Oren Yakir
https://arxiv.org/abs/2601.08983 https://arxiv.org/…

Finally some research into the decision making processes for #cycling infrastructure!
https://www.sciencedirect.com/science/article/pii/S2950105925000476

At the @… conference in 2025,
@… gave an insightful presentation filled with many humorous references.
One particularly interesting slide addressed bureaucracy in information security, why it exists and what it really …

This thread, which is a significant contribution in recapitulating LLM processes, is worth keeping.
https://vt.social/@lina/116198976928184530

This whole "OpenClaw" thing has made me very angry and I wrote a bit about the why. It's not that "it's AI": It is the way that kind of project invalidates decades of work and care in free software. "AI" software isn't just careless, it is actively rejecting responsibility and care.
https://

Just an average day of oscilloscope development. If your scope isn't saturating your GPU are you even trying?
Added NVTX support to libscopehal and ngscopeclient so I can have specific filter graph blocks and processing stages show up in profiling traces. Makes things a lot more understandable.

New year, new invoices against new budget lines with new accounts payable processes from clients.

Using well-chosen public sources, i let NotebookLM and Kimi K2.5 generate a presentation on a subject, amazing quality and very few errors. Good inspiration for the real presentation i will make myself. AI is not only creating "slop", we have to really start more research about how we incorporate AI in our work-processes in a responsible way, how we don't become "dumber", maintain skills, learning and human creativity 🤔

Ofgem has launched a wide-ranging review to reform grid connection processes in response to a surge in datacentre demand, proposing stricter entry requirements and new models to accelerate electricity capacity delivery.
https://www.computing.co.uk/news/2026/ofge…

Fork, Explore, Commit: OS Primitives for Agentic Exploration
Cong Wang, Yusheng Zheng
https://arxiv.org/abs/2602.08199 https://arxiv.org/pdf/2602.08199 https://arxiv.org/html/2602.08199
arXiv:2602.08199v1 Announce Type: new
Abstract: AI agents increasingly perform agentic exploration: pursuing multiple solution paths in parallel and committing only the successful one. Because each exploration path may modify files and spawn processes, agents require isolated environments with atomic commit and rollback semantics for both filesystem state and process state. We introduce the branch context, a new OS abstraction that provides: (1) copy-on-write state isolation with independent filesystem views and process groups, (2) a structured lifecycle of fork, explore, and commit/abort, (3) first-commit-wins resolution that automatically invalidates sibling branches, and (4) nestable contexts for hierarchical exploration. We realize branch contexts in Linux through two complementary components. First, BranchFS is a FUSE-based filesystem that gives each branch context an isolated copy-on-write workspace, with O(1) creation, atomic commit to the parent, and automatic sibling invalidation, all without root privileges. BranchFS is open sourced in https://github.com/multikernel/branchfs. Second, branch() is a proposed Linux syscall that spawns processes into branch contexts with reliable termination, kernel-enforced sibling isolation, and first-commit-wins coordination. Preliminary evaluation of BranchFS shows sub-350 us branch creation independent of base filesystem size, and modification-proportional commit overhead (under 1 ms for small changes).
toXiv_bot_toot

> When there isn't sufficient virtual memory, the compiler bails out,
> giving an internal error message. When I kill some processes, the
> error goes away.
And what is the compiler supposed to do instead? Go shopping for you
and buy more memory?
-- Falk Hueffner, on the GNU C compiler

An early preview of the chaos that is planned to overthrow the election processes this year in order to cast doubt on the legitimacy of the counts.
"‘We’re seeing chaos.’ Hundreds turned away at Dallas County polls amid switch to precincts"
htt…

Tail behavior of Markov-modulated generalized Ornstein-Uhlenbeck processes
Gerold Alsmeyer, Anita Behme
https://arxiv.org/abs/2601.09314 https://arxiv.org/…

The Mutual Agreement Procedure (MAP) is a process by which a taxpayer can ask two states (or #tax authorities) to reach an amicable agreement to eliminate double taxation as required by bilateral treaties, where the normal processes have failed.
According to #OECD statistics, in 2016-2024 there were only 19 cases …

> Companies invested millions in CASE tool suites. Conferences were held. Methodologies were developed. The promise was that software engineering would finally become real engineering, with predictable outcomes, repeatable processes, and automatic generation of code from specifications.
Made me chuckle
https…

Election law experts are questioning the legality of the FBI’s unprecedented seizure of 2020 election ballots in Fulton County, Ga.
in a raid that has further inflamed fears of federal interference in the upcoming midterm elections. 
There is widespread doubt that the records will produce any evidence of prosecutable criminal activity,
and not just because the 2020 election results have been recounted, audited, and litigated to death already. 
But, they warn, 2020 i…

Seeing a lot of people getting into tiled and scrolling window managers.
I actually like my desktop with overlapping windows and being a bit in a chaotic state and slightly different all the time.
My brain needs some variety and breaks from orderly processes, because I'm a human being and I've evolved to work best in semi-chaotic circumstances.
Obviously you do you but I'm considering this trend at least to some degree productivity wankery.

I'm building webkit-gtk right now. It's one of these messy packages where a few source files need a lot of memory to compile, and ninja can randomly order jobs so that all of them suddenly start compiling simultaneously. So to keep things going smoothly without OOM-ing, I've been dynamically adjusting the available job count via steve the #jobserver.
While doing that, I've noticed that ninja isn't taking new jobs immediately after I increased the job count. So I've started debugging steve, and couldn't find out anything wrong with it. Finally, I've looked into ninja and realized how lazy their code is.
So, there are two main approaches to acquiring job tokens. Either you do blocking reads, and therefore wait for a token to become available, or you use polling to get noticed when it becomes available. Ninja instead does non-blocking reads, and if there are no more tokens available… it waits till one of its own jobs finish.
This roughly means that as other processes release tokens, ninja won't take them until one of its own jobs finish. And if ninja didn't manage to acquire any job tokens to begin with, it is just running a single process via implicit slot, and that process finishing provides it with the only chance to acquire additional tokens. So realistically speaking, as long as there are other build jobs running in parallel, ninja is going to need to be incredibly lucky to ever get a job token, since all other processes will grab the available tokens immediately.
This isn't something that steve can fix.
#Gentoo #NinjaBuild

Electron-impact cross sections for dissociation processes of vibrationally excited CH radical
O. Abidi, I. Jendoubi, M. Telmini, R. Ghosh, K. Chakrabarti, V. Laporta
https://arxiv.org/abs/2602.10649

Extract tables from pdfs with {tabulapdf} #rstats #datasciece

@…

Point taken. I was thinking of processes that started already in 2020 and are still ongoing, making a different point.

I explained something for a friend in a simple way, and I think it's worth paraphrasing again here.
You cannot create a system that constrains itself. Any constraint on a system must be external to the system, or that constraint can be ignored or removed. That's just how systems work. Every constitution for every country claims to do this impossible thing, a thing proven is impossible almost 100 years ago now. Gödel's loophole has been known to exist since 1947.
Every constitution in the world, every "separation of powers" and set of "checks and balances," attempts to do something which is categorically impossible. Every government is always, at best, a few steps away from authoritarianism. From this, we would then expect that governments trand towards authoritarianism. Which, of course, is what we see historically.
Constraints on power are a formality, because no real controls can possibly exist. So then democratic processes become sort of collective classifiers that try to select only people who won't plunge the country into a dictatorship. Again, because this claim of restrictions on powers is a lie (willful or ignorant, a lie reguardless) that classifier has to be correct 100% of the time (even assuming a best case scenario). That's statistically unlikely.
So as long as you have a system of concentrated power, you will have the worst people attracted to it, and you will inevitably have that power fall into the hands of one of the worst possible person.
Fortunately, there is an alternative. The alternative is to not centralize power. In the security world we try to design systems that assume compromise and minimize impact, rather than just assuming that we will be right 100% of the time. If you build systems that maximially distribute power, then you minimize the impact of one horrible person.
Now, I didn't mention this because we're both already under enough stress, but...
Almost 90% of the nuclear weapons deployed around the world are in the hands of ghoulish dictators. Only two of the countries with nuclear weapons not straight up authoritarian, but they're not far off. We're one crashout away from steralizing the surface of the Earth with nuclear hellfire. Maybe countries shouldn't exist, and *definitely* multiple thousands of nuclear weapons shouldn't exist and shouldn't all be wired together to launch as soon as one of these assholes goes a bit too far sideways.

Cowboys Hall of Fame icon set to help fix Dolphins' front office https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2026/01/01/cowboys-hof-qb-troy-aikman-to-work-with-dolphins-front-office/87…

RE: https://hachyderm.io/@skinnylatte/116130280089882731
This was an insta-buy for me. After playing it for a few hours, I can say that it's a great game for fans of parkour or decolonising processes, and that was an inclusive 'or'!

"Even in 'modern' contexts, people do find in nature and in natural processes, quite routinely, an eternal (and often cyclical) story of hope. There is a kind of redemption in seeing heaven in a wildflower."
—Lav Kanoi ’24 Ph.D. writing in the new issue of Reflections, in his piece titled "A Climate of Hope Where Religion, Ecology, and the Arts Meet"

London-based Dwelly, which aims to roll up independent UK real estate agencies and modernize their operations using AI, raised £32M in equity and £37M in debt (Jeremy Kahn/Fortune)
https://fortune.com/2026/02/25/dwelly-

🐀 Rats demonstrate ability to replay episodic memories in complex experimental settings
#psychology

Not sure Parliament itself is capable of making descisions about multi-decade processes.
https://www.theguardian.com/uk-news/2026/feb/05/restoring-the-palace-of-westminster-could-cost-eye-watering-40bn

#Blakes7 Series A, Episode 05 - The Web
BLAKE: I've never seen anything like it before.
NOVARA: Our mission has specialized in tissue creation and regenerative processes.
GEELA: Among other things.
[They all sit down.]
https://<…

Stratigraphy of Carbonate-Bearing Rocks at the Margin of Jezero Crater, #Mars: Evidence for Shoreline Processes? https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2025JE009111 -> New clues to Mars’s habitability in discovery of ancient beach: https://www.imperial.ac.uk/news/articles/engineering/earth-science/2026/new-clues-to-marss-habitability-in-discovery-of-ancient-beach/

"We're just going to run a physical simulation of a human brain to achieve AGI"
"Won't the brain die instantly if it's without a body and oxygen supply etc?"
"Well, we'll just also simulate a body."
"Won't the body die instantly if it's in a vacuum?
"Fine, we'll just simulate an atmosphere too."
"Won't the body die if it's without food and light and gravity and stimulation?"
"Fine, we'll just simulate all the physical processes on the Earth."
"Won't the Earth just freeze instantly without the Sun being there?"
"Fine, we'll just simulate the sun, too."
"Will the solar system work properly if there's only the sun? What about gravitational influences of other mass in the galaxy, what about cosmic rays?"
"Fine, we'll just simulate the whole universe, too."

Conduent Data Breach Notification Letters Sent to Millions
as Ransomware Group Claims
⚡️ 8 Terabytes Stolen in One of the Largest U.S. Incidents.
Letters began reaching affected individuals this month detailing a major data breach at #Conduent Business Services, LLC,
a government technology contractor that processes payments, healthcare claims, and back-office services for clients n…

Spatially-informed transformers: Injecting geostatistical covariance biases into self-attention for spatio-temporal forecasting
Yuri Calleo
https://arxiv.org/abs/2512.17696 https://arxiv.org/pdf/2512.17696 https://arxiv.org/html/2512.17696
arXiv:2512.17696v1 Announce Type: new
Abstract: The modeling of high-dimensional spatio-temporal processes presents a fundamental dichotomy between the probabilistic rigor of classical geostatistics and the flexible, high-capacity representations of deep learning. While Gaussian processes offer theoretical consistency and exact uncertainty quantification, their prohibitive computational scaling renders them impractical for massive sensor networks. Conversely, modern transformer architectures excel at sequence modeling but inherently lack a geometric inductive bias, treating spatial sensors as permutation-invariant tokens without a native understanding of distance. In this work, we propose a spatially-informed transformer, a hybrid architecture that injects a geostatistical inductive bias directly into the self-attention mechanism via a learnable covariance kernel. By formally decomposing the attention structure into a stationary physical prior and a non-stationary data-driven residual, we impose a soft topological constraint that favors spatially proximal interactions while retaining the capacity to model complex dynamics. We demonstrate the phenomenon of ``Deep Variography'', where the network successfully recovers the true spatial decay parameters of the underlying process end-to-end via backpropagation. Extensive experiments on synthetic Gaussian random fields and real-world traffic benchmarks confirm that our method outperforms state-of-the-art graph neural networks. Furthermore, rigorous statistical validation confirms that the proposed method delivers not only superior predictive accuracy but also well-calibrated probabilistic forecasts, effectively bridging the gap between physics-aware modeling and data-driven learning.
toXiv_bot_toot

Google DeepMind researchers unveil AlphaGenome, an AI model trained on molecular data to predict 11 different genomic processes, such as gene splicing (Carl Zimmer/New York Times)
https://www.nytimes.com/2026/01/28/science/alphagenome-ai-deepmind-genetics.htm…

HALO: A Fine-Grained Resource Sharing Quantum Operating System
John Zhuoyang Ye, Jiyuan Wang, Yifan Qiao, Jens Palsberg
https://arxiv.org/abs/2602.07191 https://arxiv.org/pdf/2602.07191 https://arxiv.org/html/2602.07191
arXiv:2602.07191v1 Announce Type: new
Abstract: As quantum computing enters the cloud era, thousands of users must share access to a small number of quantum processors. Users need to wait minutes to days to start their jobs, which only takes a few seconds for execution. Current quantum cloud platforms employ a fair-share scheduler, as there is no way to multiplex a quantum computer among multiple programs at the same time, leaving many qubits idle and significantly under-utilizing the hardware. This imbalance between high user demand and scarce quantum resources has become a key barrier to scalable and cost-effective quantum computing.
We present HALO, the first quantum operating system design that supports fine-grained resource-sharing. HALO introduces two complementary mechanisms. First, a hardware-aware qubit-sharing algorithm that places shared helper qubits on regions of the quantum computer that minimize routing overhead and avoid cross-talk noise between different users' processes. Second, a shot-adaptive scheduler that allocates execution windows according to each job's sampling requirements, improving throughput and reducing latency. Together, these mechanisms transform the way quantum hardware is scheduled and achieve more fine-grained parallelism.
We evaluate HALO on the IBM Torino quantum computer on helper qubit intense benchmarks. Compared to state-of-the-art systems such as HyperQ, HALO improves overall hardware utilization by up to 2.44x, increasing throughput by 4.44x, and maintains fidelity loss within 33%, demonstrating the practicality of resource-sharing in quantum computing.
toXiv_bot_toot

Acoustic Signatures of Pinch-Off Cavities During Water-Entry
Zirui Liu, Tongtong Ding, Mingyue Kuang, Zimeng Li, Junyi Zhao, A-Man Zhang, Shuai Li
https://arxiv.org/abs/2602.22761 https://arxiv.org/pdf/2602.22761 https://arxiv.org/html/2602.22761
arXiv:2602.22761v1 Announce Type: new
Abstract: This study experimentally, numerically, and theoretically investigates the cavity/bubble dynamics and radiated acoustics during the water entry of a centimeter-scale cylindrical projectile with a conical nose. Experiments were conducted in a laboratory tank, employing synchronized high-speed imaging and hydrophone measurements to characterize the cavity closure modes and their resultant acoustic signatures across a range of Froude numbers. The acoustic signal features a weak radiated signal upon impact, followed by significant pressure oscillations spanning more than 20 cycles in the flow field after cavity elongation and pinch-off. A numerical model based on the Finite Volume Method (FVM) successfully captures these physical processes. Subsequently, a semi-theoretical model that incorporates the projectile's boundary effect is developed from potential flow theory. The model not only yields a dominant cavity oscillation frequency that agrees well with experimental data, but also reveals that the boundary effect leads to a cavity oscillation frequency markedly higher than the Minnaert frequency of an equivalent-volume ellipsoidal bubble containing an internal rigid core. The dominant cavity frequency falls nearly linearly with Fr, governed by nose geometry and projectile inertia. This study clarifies the underlying physics connecting cavity dynamics during water entry to underwater acoustic radiation.
toXiv_bot_toot

So the original #SBOM requirement for federal agencies in US was just removed.
"OMB Memorandum M-22-18, Enhancing the Security of the Software Supply Chain
through Secure Software Development Practices (M-22-18), imposed unproven and burdensome software accounting processes that prioritized compliance over genuine security investments.
This policy diverted agencies from developing tail…

Efforts to repress climate and environmental protest are growing worldwide
through a combination of new legislation,
novel uses of existing legal processes,
police actions,
vilification of activists,
and both violence and killings.
Acts of repression are likely to expand and intensify
as authoritarian regimes roll back climate policies,
with a particular focus on Trump’s actions in office
criminalizing protest,
increasing police po…

Adaptive transitions in FitzHugh-Nagumo networks with Hebb-Oja coupling rules
Astero Provata, George C. Boulougouris, Johanne Hizanidis
https://arxiv.org/abs/2602.18198 https://arxiv.org/pdf/2602.18198 https://arxiv.org/html/2602.18198
arXiv:2602.18198v1 Announce Type: new
Abstract: Adaptive coupling in networks of interacting neurons has gained recent attention due to the many applications both in biological and in artificial neural networks, where adaptive coupling or synaptic plasticity is considered as a key factor in learning processes. In the present study, we apply adaptive connectivity rules in networks of interacting FitzHugh-Nagumo oscillators. Adaptive coupling, here, is realized via Hebbian learning adjusted by the Oja rule to prevent the network link weights from growing without bounds. Numerical investigations demonstrate that during the adaptation process the FitzHugh-Nagumo network undergoes adaptive transitions realizing traveling waves, synchronized states and chimera states transiting through various multiplicities. These transitions become more evident when the time scales governing the coupling dynamics are much slower than the ones governing the nodal dynamics (nodal potentials). Namely, when the coupling time scales are slow, the network has the time to realize and demonstrate different synchronization regimes before reaching the final steady state. The transitions can be observed not only in the spacetime plots but also in the abrupt changes of the average coupling weights as the network evolves in time. Regarding the asymptotic coupling distributions, we show that the limiting average coupling strength follows an inverse power law with respect to the Oja parameter (also called "forgetting" parameter) which balances the learning growth. We also report abrupt transitions in the asymptotic coupling strengths when the parameter related to adaptive coupling crosses from fast to slow time scales. These findings are in line with previous studies on spiking neural networks.
toXiv_bot_toot

So, "#AI boosted your productivity"? Well, are you a software developer or a factory worker?
Productivity is a measure of predictable output from repetitive processes. It is how much shit your factory floor produces. Of course, once attempts to boost productivity start affecting the quality of your product, things get hairy…
"Productivity" makes no sense for creative work. It makes zero sense for software developers. If your work is defined by productivity, then it makes no sense to use as #LLM to improve it. You can be replaced entirely.
Artists get that. The fact that many software developers don't suggests that the trade took a wrong turn at some point.
Inspired by #NoAI

Bengaluru-based digital payments startup Juspay raised $50M, in a mix of primary and secondary investments, from WestBridge Capital at a $1.2B valuation (The Economic Times)
https://economictimes.indiatimes.com/t

One manifestation of AI-enabled government, is that the government will start publishing documents that are intended as much for RAG processes as they are humans.
This has that feel:
https://www.gov.uk/government/publications/mitigation-…

Learning and extrapolating scale-invariant processes
Anaclara Alvez-Canepa, Cyril Furtlehner, Fran\c{c}ois Landes
https://arxiv.org/abs/2601.14810 https://…

Towards mathematical spaces for biological processes
Arturo Tozzi
https://arxiv.org/abs/2601.15854 https://arxiv.org/pdf/2601.15854

A Paris court rejects a French government request to suspend Shein in the country after finding illegal weapons and child-like sex dolls for sale on the site (Associated Press)
https://apnews.com/article/shein-fast-fashion-paris-5014e98e3479485dd45f0e5bdf…

The Diffusion Duality, Chapter II: $\Psi$-Samplers and Efficient Curriculum
Justin Deschenaux, Caglar Gulcehre, Subham Sekhar Sahoo
https://arxiv.org/abs/2602.21185 https://arxiv.org/pdf/2602.21185 https://arxiv.org/html/2602.21185
arXiv:2602.21185v1 Announce Type: new
Abstract: Uniform-state discrete diffusion models excel at few-step generation and guidance due to their ability to self-correct, making them preferred over autoregressive or Masked diffusion models in these settings. However, their sampling quality plateaus with ancestral samplers as the number of steps increases. We introduce a family of Predictor-Corrector (PC) samplers for discrete diffusion that generalize prior methods and apply to arbitrary noise processes. When paired with uniform-state diffusion, our samplers outperform ancestral sampling on both language and image modeling, achieving lower generative perplexity at matched unigram entropy on OpenWebText and better FID/IS scores on CIFAR10. Crucially, unlike conventional samplers, our PC methods continue to improve with more sampling steps. Taken together, these findings call into question the assumption that Masked diffusion is the inevitable future of diffusion-based language modeling. Beyond sampling, we develop a memory-efficient curriculum for the Gaussian relaxation training phase, reducing training time by 25% and memory by 33% compared to Duo while maintaining comparable perplexity on OpenWebText and LM1B and strong downstream performance. We release code, checkpoints, and a video-tutorial on: https://s-sahoo.com/duo-ch2
toXiv_bot_toot

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[3/5]:
- Look-Ahead Reasoning on Learning Platforms
Haiqing Zhu, Tijana Zrnic, Celestine Mendler-D\"unner
https://arxiv.org/abs/2511.14745 https://mastoxiv.page/@arXiv_csLG_bot/115575981129228810
- Deep Gaussian Process Proximal Policy Optimization
Matthijs van der Lende, Juan Cardenas-Cartagena
https://arxiv.org/abs/2511.18214 https://mastoxiv.page/@arXiv_csLG_bot/115610315210502140
- Spectral Concentration at the Edge of Stability: Information Geometry of Kernel Associative Memory
Akira Tamamori
https://arxiv.org/abs/2511.23083 https://mastoxiv.page/@arXiv_csLG_bot/115644325602130493
- xGR: Efficient Generative Recommendation Serving at Scale
Sun, Liu, Zhang, Wu, Yang, Liang, Li, Ma, Liang, Ren, Zhang, Liu, Zhang, Qian, Yang
https://arxiv.org/abs/2512.11529 https://mastoxiv.page/@arXiv_csLG_bot/115723008170311172
- Credit Risk Estimation with Non-Financial Features: Evidence from a Synthetic Istanbul Dataset
Atalay Denknalbant, Emre Sezdi, Zeki Furkan Kutlu, Polat Goktas
https://arxiv.org/abs/2512.12783 https://mastoxiv.page/@arXiv_csLG_bot/115729287232895097
- The Semantic Illusion: Certified Limits of Embedding-Based Hallucination Detection in RAG Systems
Debu Sinha
https://arxiv.org/abs/2512.15068 https://mastoxiv.page/@arXiv_csLG_bot/115740048142898391
- Towards Reproducibility in Predictive Process Mining: SPICE -- A Deep Learning Library
Stritzel, H\"uhnerbein, Rauch, Zarate, Fleischmann, Buck, Lischka, Frey
https://arxiv.org/abs/2512.16715 https://mastoxiv.page/@arXiv_csLG_bot/115745910810427061
- Differentially private Bayesian tests
Abhisek Chakraborty, Saptati Datta
https://arxiv.org/abs/2401.15502 https://mastoxiv.page/@arXiv_statML_bot/111843467510507382
- SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning
Paul Mangold, Sergey Samsonov, Safwan Labbi, Ilya Levin, Reda Alami, Alexey Naumov, Eric Moulines
https://arxiv.org/abs/2402.04114
- Adjusting Model Size in Continual Gaussian Processes: How Big is Big Enough?
Guiomar Pescador-Barrios, Sarah Filippi, Mark van der Wilk
https://arxiv.org/abs/2408.07588 https://mastoxiv.page/@arXiv_statML_bot/112965266196097314
- Non-Perturbative Trivializing Flows for Lattice Gauge Theories
Mathis Gerdes, Pim de Haan, Roberto Bondesan, Miranda C. N. Cheng
https://arxiv.org/abs/2410.13161 https://mastoxiv.page/@arXiv_heplat_bot/113327593338897860
- Dynamic PET Image Prediction Using a Network Combining Reversible and Irreversible Modules
Sun, Zhang, Xia, Sun, Chen, Yang, Liu, Zhu, Liu
https://arxiv.org/abs/2410.22674 https://mastoxiv.page/@arXiv_eessIV_bot/113401026110345647
- Targeted Learning for Variable Importance
Xiaohan Wang, Yunzhe Zhou, Giles Hooker
https://arxiv.org/abs/2411.02221 https://mastoxiv.page/@arXiv_statML_bot/113429912435819479
- Refined Analysis of Federated Averaging and Federated Richardson-Romberg
Paul Mangold, Alain Durmus, Aymeric Dieuleveut, Sergey Samsonov, Eric Moulines
https://arxiv.org/abs/2412.01389 https://mastoxiv.page/@arXiv_statML_bot/113588027268311334
- Embedding-Driven Data Distillation for 360-Degree IQA With Residual-Aware Refinement
Abderrezzaq Sendjasni, Seif-Eddine Benkabou, Mohamed-Chaker Larabi
https://arxiv.org/abs/2412.12667 https://mastoxiv.page/@arXiv_csCV_bot/113672538318570349
- 3D Cell Oversegmentation Correction via Geo-Wasserstein Divergence
Peter Chen, Bryan Chang, Olivia A Creasey, Julie Beth Sneddon, Zev J Gartner, Yining Liu
https://arxiv.org/abs/2502.01890 https://mastoxiv.page/@arXiv_csCV_bot/113949981686723660
- DHP: Discrete Hierarchical Planning for Hierarchical Reinforcement Learning Agents
Shashank Sharma, Janina Hoffmann, Vinay Namboodiri
https://arxiv.org/abs/2502.01956 https://mastoxiv.page/@arXiv_csRO_bot/113949997485625086
- Foundation for unbiased cross-validation of spatio-temporal models for species distribution modeling
Diana Koldasbayeva, Alexey Zaytsev
https://arxiv.org/abs/2502.03480
- GraphCompNet: A Position-Aware Model for Predicting and Compensating Shape Deviations in 3D Printing
Juheon Lee (Rachel), Lei (Rachel), Chen, Juan Carlos Catana, Hui Wang, Jun Zeng
https://arxiv.org/abs/2502.09652 https://mastoxiv.page/@arXiv_csCV_bot/114017924551186136
- LookAhead Tuning: Safer Language Models via Partial Answer Previews
Liu, Wang, Luo, Yuan, Sun, Liang, Zhang, Zhou, Hooi, Deng
https://arxiv.org/abs/2503.19041 https://mastoxiv.page/@arXiv_csCL_bot/114227502448008352
- Constraint-based causal discovery with tiered background knowledge and latent variables in single...
Christine W. Bang, Vanessa Didelez
https://arxiv.org/abs/2503.21526 https://mastoxiv.page/@arXiv_statML_bot/114238919468512990
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