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@laurentperrinet@neuromatch.social
2026-03-28 11:49:15

Nouvelle étude de l'ademe :
theconversation.com/encourager
Une ville qui promeut la

Encourager la marche, un gain qui se compte en milliards pour la société française
Encourager les trajets à pied apporte à la société de nombreux bénéfices, qu’une étude récente de l’Ademe a quantifiés en euros.

@radioeinsmusicbot@mastodonapp.uk
2026-03-27 21:03:57

🇺🇦 Auf radioeins läuft...
Thee Marloes:
🎵 Under The Silver Moon
#NowPlaying #TheeMarloes
theemarloes.bandcamp.com/track
open.spotify.com/track/6qa9Imo

@nobodyinperson@fosstodon.org
2026-02-27 11:57:38

And here is my published dissertation @…, about quantifying the natural CO2 exhaust at the Starzach site in Southwest Germany (my result: ~10t/d):
hdl.handle.net/10900/176213

Figure 2: Examples of CO2 degassing at the Starzach site. Figure reproduced from Büchau et al. (2022, Appendix A, page 62, kindly provided by the publisher under a CC-BY-4.0 license). (a) diffuse degassing, small ascending gas bubbles (during spring 2020 flooding), (b) mofette with largest diameter, examined in 2015 by Lübben and Leven (2022), (c) picture by Martin Schon in 2019, groundwater monitor well, turned into the site’s most active mofette shortly after its deployment in 2014.
Table 2: Tabular comparison of four low-cost NDIR CO2 sensors evaluated for application at the Starzach site, reproduced from Büchau et al. (2022, Appendix A, page 65, kindly provided by the publisher under a CC-BY-4.0 license)
Figure 5: Gas flow funnel system mounted over the groundwater monitoring well (Figure 1, installed in 2014, which turned into a mofette shortly after deployment) at the Starzach site in 2022. Figure reproduced from (Büchau et al., 2024a, Appendix B, page 80, licensed under CC-BY-4.0).
Figure 9: Flux-gradient setup close to the ground, next to the Starzach site’s mofette with the largest diameter (30 cm, Figure 2b, examined in 2015 by Lübben and Leven, 2022). Four Sensirion SCD30 low-cost CO2 sensors each are mounted 40 cm above and below a Campbell Scientific IRGASON eddy covariance station at 60 cm height. Measurements of this setup are shown in Figure 10 and Figure 11.
@mia@hcommons.social
2026-02-26 08:36:15

A nice piece of work, I hope it encourages improvements!
Towards a science of AI agent reliability
AI 'reliability lags capability, and that reliability will remain a barrier to deployment unless researchers and developers focus effort on improving reliability as a separate dimension from accuracy'

New Paper: Towards a science of AI agent reliability
Quantifying the capability-reliability gap

@bthalpin@mastodon.social
2026-02-25 22:15:23

I've finally gotten Termux to rsync files via crontab. Needed to set up keychain, something I used to understand in the distant past. Now I have my own quantified-self data (well, location and battery) uploading to my private cloud.
#termux termux.api, python, rsync, crontab, keychain.

@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

@memeorandum@universeodon.com
2026-03-25 00:01:21

Machado: Venezuela could quintuple oil production under a democratic government (James Bikales/Politico)
politico.com/news/2026/03/24/m
memeorandum.com/260324/p145#a2

@@arXiv_physicsatomph_bot@mastoxiv.page@mastoxiv.page
2026-01-27 08:22:16

General framework for quantifying entanglement production in ultracold molecular collisions and chemical reactions
Adrien Devolder, Paul Brumer, Timur Tscherbul
arxiv.org/abs/2601.17144

@arXiv_csLG_bot@mastoxiv.page
2026-02-25 16:08:29

Replaced article(s) found for cs.LG. arxiv.org/list/cs.LG/new
[6/6]:
- Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning
Chi-Pin Huang, Yunze Man, Zhiding Yu, Min-Hung Chen, Jan Kautz, Yu-Chiang Frank Wang, Fu-En Yang
arxiv.org/abs/2601.09708 mastoxiv.page/@arXiv_csCV_bot/
- Universality of Many-body Projected Ensemble for Learning Quantum Data Distribution
Quoc Hoan Tran, Koki Chinzei, Yasuhiro Endo, Hirotaka Oshima
arxiv.org/abs/2601.18637 mastoxiv.page/@arXiv_quantph_b
- FROST: Filtering Reasoning Outliers with Attention for Efficient Reasoning
Haozheng Luo, Zhuolin Jiang, Md Zahid Hasan, Yan Chen, Soumalya Sarkar
arxiv.org/abs/2601.19001 mastoxiv.page/@arXiv_csCL_bot/
- Analysis of Shuffling Beyond Pure Local Differential Privacy
Shun Takagi, Seng Pei Liew
arxiv.org/abs/2601.19154 mastoxiv.page/@arXiv_csDS_bot/
- CryoLVM: Self-supervised Learning from Cryo-EM Density Maps with Large Vision Models
Weining Fu, Kai Shu, Kui Xu, Qiangfeng Cliff Zhang
arxiv.org/abs/2602.02620
- XtraLight-MedMamba for Classification of Neoplastic Tubular Adenomas
Sultana, Afsar, Rahu, Singh, Shula, Combs, Forchetti, Asari
arxiv.org/abs/2602.04819
- Flow-Based Conformal Predictive Distributions
Trevor Harris
arxiv.org/abs/2602.07633 mastoxiv.page/@arXiv_statML_bo
- GOT-Edit: Geometry-Aware Generic Object Tracking via Online Model Editing
Shih-Fang Chen, Jun-Cheng Chen, I-Hong Jhuo, Yen-Yu Lin
arxiv.org/abs/2602.08550 mastoxiv.page/@arXiv_csCV_bot/
- UI-Venus-1.5 Technical Report
Venus Team, et al.
arxiv.org/abs/2602.09082 mastoxiv.page/@arXiv_csCV_bot/
- The Wisdom of Many Queries: Complexity-Diversity Principle for Dense Retriever Training
Xincan Feng, Noriki Nishida, Yusuke Sakai, Yuji Matsumoto
arxiv.org/abs/2602.09448 mastoxiv.page/@arXiv_csIR_bot/
- Intent Laundering: AI Safety Datasets Are Not What They Seem
Shahriar Golchin, Marc Wetter
arxiv.org/abs/2602.16729 mastoxiv.page/@arXiv_csCR_bot/
- The Metaphysics We Train: A Heideggerian Reading of Machine Learning
Heman Shakeri
arxiv.org/abs/2602.19028 mastoxiv.page/@arXiv_csCY_bot/
- Skill-Inject: Measuring Agent Vulnerability to Skill File Attacks
David Schmotz, Luca Beurer-Kellner, Sahar Abdelnabi, Maksym Andriushchenko
arxiv.org/abs/2602.20156 mastoxiv.page/@arXiv_csCR_bot/
- A Very Big Video Reasoning Suite
Maijunxian Wang, et al.
arxiv.org/abs/2602.20159 mastoxiv.page/@arXiv_csCV_bot/
toXiv_bot_toot