Tootfinder

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[4/5]:
- Sample, Don't Search: Rethinking Test-Time Alignment for Language Models
Gon\c{c}alo Faria, Noah A. Smith
https://arxiv.org/abs/2504.03790 https://mastoxiv.page/@arXiv_csCL_bot/114301112970577326
- A Survey on Archetypal Analysis
Aleix Alcacer, Irene Epifanio, Sebastian Mair, Morten M{\o}rup
https://arxiv.org/abs/2504.12392 https://mastoxiv.page/@arXiv_statME_bot/114357826909813483
- The Stochastic Occupation Kernel (SOCK) Method for Learning Stochastic Differential Equations
Michael L. Wells, Kamel Lahouel, Bruno Jedynak
https://arxiv.org/abs/2505.11622 https://mastoxiv.page/@arXiv_statML_bot/114539065460187982
- BOLT: Block-Orthonormal Lanczos for Trace estimation of matrix functions
Kingsley Yeon, Promit Ghosal, Mihai Anitescu
https://arxiv.org/abs/2505.12289 https://mastoxiv.page/@arXiv_mathNA_bot/114539035462135281
- Clustering and Pruning in Causal Data Fusion
Otto Tabell, Santtu Tikka, Juha Karvanen
https://arxiv.org/abs/2505.15215 https://mastoxiv.page/@arXiv_statML_bot/114550346291754635
- On the performance of multi-fidelity and reduced-dimensional neural emulators for inference of ph...
Chloe H. Choi, Andrea Zanoni, Daniele E. Schiavazzi, Alison L. Marsden
https://arxiv.org/abs/2506.11683 https://mastoxiv.page/@arXiv_statML_bot/114692410563481289
- Beyond Force Metrics: Pre-Training MLFFs for Stable MD Simulations
Maheshwari, Tang, Ock, Kolluru, Farimani, Kitchin
https://arxiv.org/abs/2506.14850 https://mastoxiv.page/@arXiv_physicschemph_bot/114709402590755731
- Quantifying Uncertainty in the Presence of Distribution Shifts
Yuli Slavutsky, David M. Blei
https://arxiv.org/abs/2506.18283 https://mastoxiv.page/@arXiv_statML_bot/114738165218533987
- ZKPROV: A Zero-Knowledge Approach to Dataset Provenance for Large Language Models
Mina Namazi, Alexander Nemecek, Erman Ayday
https://arxiv.org/abs/2506.20915 https://mastoxiv.page/@arXiv_csCR_bot/114754394485208892
- SpecCLIP: Aligning and Translating Spectroscopic Measurements for Stars
Zhao, Huang, Xue, Kong, Liu, Tang, Beers, Ting, Luo
https://arxiv.org/abs/2507.01939 https://mastoxiv.page/@arXiv_astrophIM_bot/114788369702591337
- Towards Facilitated Fairness Assessment of AI-based Skin Lesion Classifiers Through GenAI-based I...
Ko Watanabe, Stanislav Frolov, Aya Hassan, David Dembinsky, Adriano Lucieri, Andreas Dengel
https://arxiv.org/abs/2507.17860 https://mastoxiv.page/@arXiv_csCV_bot/114912976717523345
- PASS: Probabilistic Agentic Supernet Sampling for Interpretable and Adaptive Chest X-Ray Reasoning
Yushi Feng, Junye Du, Yingying Hong, Qifan Wang, Lequan Yu
https://arxiv.org/abs/2508.10501 https://mastoxiv.page/@arXiv_csAI_bot/115032101532614110
- Unified Acoustic Representations for Screening Neurological and Respiratory Pathologies from Voice
Ran Piao, Yuan Lu, Hareld Kemps, Tong Xia, Aaqib Saeed
https://arxiv.org/abs/2508.20717 https://mastoxiv.page/@arXiv_csSD_bot/115111255835875066
- Machine Learning-Driven Predictive Resource Management in Complex Science Workflows
Tasnuva Chowdhury, et al.
https://arxiv.org/abs/2509.11512 https://mastoxiv.page/@arXiv_csDC_bot/115213444524490263
- MatchFixAgent: Language-Agnostic Autonomous Repository-Level Code Translation Validation and Repair
Ali Reza Ibrahimzada, Brandon Paulsen, Reyhaneh Jabbarvand, Joey Dodds, Daniel Kroening
https://arxiv.org/abs/2509.16187 https://mastoxiv.page/@arXiv_csSE_bot/115247172280557686
- Automated Machine Learning Pipeline: Large Language Models-Assisted Automated Dataset Generation ...
Adam Lahouari, Jutta Rogal, Mark E. Tuckerman
https://arxiv.org/abs/2509.21647 https://mastoxiv.page/@arXiv_condmatmtrlsci_bot/115286737423175311
- Quantifying the Impact of Structured Output Format on Large Language Models through Causal Inference
Han Yuan, Yue Zhao, Li Zhang, Wuqiong Luo, Zheng Ma
https://arxiv.org/abs/2509.21791 https://mastoxiv.page/@arXiv_csCL_bot/115287166674809413
- The Generation Phases of Flow Matching: a Denoising Perspective
Anne Gagneux, S\'egol\`ene Martin, R\'emi Gribonval, Mathurin Massias
https://arxiv.org/abs/2510.24830 https://mastoxiv.page/@arXiv_csCV_bot/115462527449411627
- Data-driven uncertainty-aware seakeeping prediction of the Delft 372 catamaran using ensemble Han...
Giorgio Palma, Andrea Serani, Matteo Diez
https://arxiv.org/abs/2511.04461 https://mastoxiv.page/@arXiv_eessSY_bot/115507785247809767
- Generalized infinite dimensional Alpha-Procrustes based geometries
Salvish Goomanee, Andi Han, Pratik Jawanpuria, Bamdev Mishra
https://arxiv.org/abs/2511.09801 https://mastoxiv.page/@arXiv_statML_bot/115547135711272091
toXiv_bot_toot

As US officials move to restrict vaccines
-- including the shots to prevent respiratory syncytial virus ( #RSV )
-- more evidence is emerging to confirm how dramatically the jabs reduce hospitalizations.
Announced last week as part of new restrictions on one-third of all routine childhood vaccines,
❌RSV shots are now recommended only for high-risk babies, instead of all infants.
The…

"Cough into your bent elbow, or use a tissue and dispose of it afterwards in the nearest bin."
I find it astonishing how many people don't bother, or don't know about this elementary precaution.
How to avoid catching flu, COVID-19 and other respiratory illnesses this winter  – UK Health Security Agency

How to avoid catching flu, COVID-19 and other respiratory illnesses this winter  – UK Health Security Agency
As we brace ourselves for chillier days and look forward to more indoor gatherings and seasonal social events with friends and family, now is the ideal time to remind ourselves of guidance on vaccination, isolation, good respiratory etiquette, mask wearing,

Fewer people are being vaccinated against respiratory diseases:
https://www.cidrap.umn.edu/adult-non-flu-vaccines/fewer-people-are-being-vaccinated-against-respiratory-diseases

😰 Heat waves linked to rise in sleep apnea cases in Europe
#europe

Heat waves linked to rise in sleep apnea cases in Europe
During heat waves, there is an increase in the number of people suffering with obstructive sleep apnea (OSA), according to a study published in the European Respiratory Journal.

> M-PESA created a payment rail with near-zero transaction costs. Which means you can economically collect tiny payments. $0.21 per day payments.
> You’re replacing $3-5/week kerosene spending with a $0.21/day solar subscription (so with $1.5 per week half the price of kerosene) that’s cheaper AND gives you better light, phone charging, radio, and no respiratory disease.
climatedrift.substack.com/p/why-solarpunk-is-already-happening

Hmmm a brief respiratory illness killed Frank and Bob. And here I am with a chest cold.

"Supercharged dust storms are exposing millions to deadly air pollution"
#Pollution #AirPollution

Supercharged dust storms are exposing millions to deadly air pollution
More people are getting sick due to sand and dust storms that are now more intense and frequent, contributor Sean Mowbray reported for Mongabay. The intensifying storms have exposed many millions more people to dangerous levels of particulate pollution across the world. In some regions, it has also triggered outbreaks of respiratory and infectious diseases. […]

respiratory tract liberation army

Replaced article(s) found for q-bio.NC. https://arxiv.org/list/q-bio.NC/new
[1/1]:
- State-space kinetic Ising model reveals task-dependent entropy flow in sparsely active nonequilib...
Ken Ishihara, Hideaki Shimazaki
https://arxiv.org/abs/2502.15440 https://mastoxiv.page/@arXiv_qbioNC_bot/114057779012161849
- Mechanisms for anesthesia, unawareness, respiratory depression, memory replay and sleep: MHb > IP...
Karin Vadovi\v{c}ov\'a
https://arxiv.org/abs/2509.04454 https://mastoxiv.page/@arXiv_qbioNC_bot/115167812677714466
- Meta-learning three-factor plasticity rules for structured credit assignment with sparse feedback
Dimitra Maoutsa
https://arxiv.org/abs/2512.09366 https://mastoxiv.page/@arXiv_qbioNC_bot/115699940165988688
- Prefrontal scaling of reward prediction error readout gates reinforcement-derived adaptive behavi...
Sang, Huang, Zhong, Wang, Yu, Li, Feng, Wang, Chai, Menon, Wang, Fang, Wang
https://arxiv.org/abs/2512.09761 https://mastoxiv.page/@arXiv_qbioNC_bot/115700046994546552
- Proof of a perfect platonic representation hypothesis
Liu Ziyin, Isaac Chuang
https://arxiv.org/abs/2507.01098 https://mastoxiv.page/@arXiv_csLG_bot/114788750477759162
toXiv_bot_toot

Supercharged dust storms are exposing millions to deadly air pollution https://news.mongabay.com/short-article/2025/10/supercharged-dust-storms-are-exposing-millions-to-deadly-air-pollution/

Supercharged dust storms are exposing millions to deadly air pollution
More people are getting sick due to sand and dust storms that are now more intense and frequent, contributor Sean Mowbray reported for Mongabay. The intensifying storms have exposed many millions more people to dangerous levels of particulate pollution across the world. In some regions, it has also triggered outbreaks of respiratory and infectious diseases. […]

Frank Gehry,
one of the most influential architects of the 20th century,
has died aged 96.
Renowned for his deconstructivist style,
Gehry designed many iconic structures such as L.A.'s Walt Disney Concert Hall and the titanium-covered Guggenheim Museum Bilbao in Spain.
He died at his Santa Monica home after a brief respiratory illness, Meaghan Lloyd, chief of staff at Gehry Partners LLP, said in a statement.

Frank Gehry Dead At 96: Renowned Architect Dies At Home After Brief Illness
Frank Gehry, one of the most influential architects of the 20th century, has died aged 96.

After courting coal miners during his campaign,
Trump has left a trail of broken promises.
Many miners in Appalachia thought they would finally see a commitment to solving the issue of black lung.
Last year, on April 18, 2024, the Mine Safety and Health Administration (MSHA) issued its final rule,
"Lowering Miners’ Exposure to Respirable Crystalline Silica and Improving Respiratory Protection",
which aimed to reduce miners’ exposure to an airborne co…

Coal Miners Were Poised to Win Key Safety Protections. Then Trump Showed Up.
After courting coal miners during his campaign, Trump has left a trail of broken promises.