@usul@piaille.fr2025-11-25 05:44:36
La révolution de l’immunité ancestrale : quand nos défenses sont un héritage des bactéries
https://www.lemonde.fr/sciences/article/2025/11/24/la-revolution-de-l-immunite-ancestrale…
@arXiv_csLG_bot@mastoxiv.page2025-12-22 13:54:24
Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[1/5]:
- Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization a...
Haoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert Nowak, Yixuan Li
https://arxiv.org/abs/2306.09158
- Sparse, Efficient and Explainable Data Attribution with DualXDA
Galip \"Umit Yolcu, Moritz Weckbecker, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
https://arxiv.org/abs/2402.12118 https://mastoxiv.page/@arXiv_csLG_bot/111962593972369958
- HGQ: High Granularity Quantization for Real-time Neural Networks on FPGAs
Sun, Que, {\AA}rrestad, Loncar, Ngadiuba, Luk, Spiropulu
https://arxiv.org/abs/2405.00645 https://mastoxiv.page/@arXiv_csLG_bot/112370274737558603
- On the Identification of Temporally Causal Representation with Instantaneous Dependence
Li, Shen, Zheng, Cai, Song, Gong, Chen, Zhang
https://arxiv.org/abs/2405.15325 https://mastoxiv.page/@arXiv_csLG_bot/112511890051553111
- Basis Selection: Low-Rank Decomposition of Pretrained Large Language Models for Target Applications
Yang Li, Daniel Agyei Asante, Changsheng Zhao, Ernie Chang, Yangyang Shi, Vikas Chandra
https://arxiv.org/abs/2405.15877 https://mastoxiv.page/@arXiv_csLG_bot/112517547424098076
- Privacy Bias in Language Models: A Contextual Integrity-based Auditing Metric
Yan Shvartzshnaider, Vasisht Duddu
https://arxiv.org/abs/2409.03735 https://mastoxiv.page/@arXiv_csLG_bot/113089789682783135
- Low-Rank Filtering and Smoothing for Sequential Deep Learning
Joanna Sliwa, Frank Schneider, Nathanael Bosch, Agustinus Kristiadi, Philipp Hennig
https://arxiv.org/abs/2410.06800 https://mastoxiv.page/@arXiv_csLG_bot/113283021321510736
- Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification
Xiaoyu Tao, Tingyue Pan, Mingyue Cheng, Yucong Luo, Qi Liu, Enhong Chen
https://arxiv.org/abs/2410.18686 https://mastoxiv.page/@arXiv_csLG_bot/113367101100828901
- Fairness via Independence: A (Conditional) Distance Covariance Framework
Ruifan Huang, Haixia Liu
https://arxiv.org/abs/2412.00720 https://mastoxiv.page/@arXiv_csLG_bot/113587817648503815
- Data for Mathematical Copilots: Better Ways of Presenting Proofs for Machine Learning
Simon Frieder, et al.
https://arxiv.org/abs/2412.15184 https://mastoxiv.page/@arXiv_csLG_bot/113683924322164777
- Pairwise Elimination with Instance-Dependent Guarantees for Bandits with Cost Subsidy
Ishank Juneja, Carlee Joe-Wong, Osman Ya\u{g}an
https://arxiv.org/abs/2501.10290 https://mastoxiv.page/@arXiv_csLG_bot/113859392622871057
- Towards Human-Guided, Data-Centric LLM Co-Pilots
Evgeny Saveliev, Jiashuo Liu, Nabeel Seedat, Anders Boyd, Mihaela van der Schaar
https://arxiv.org/abs/2501.10321 https://mastoxiv.page/@arXiv_csLG_bot/113859392688054204
- Regularized Langevin Dynamics for Combinatorial Optimization
Shengyu Feng, Yiming Yang
https://arxiv.org/abs/2502.00277
- Generating Samples to Probe Trained Models
Eren Mehmet K{\i}ral, Nur\c{s}en Ayd{\i}n, \c{S}. \.Ilker Birbil
https://arxiv.org/abs/2502.06658 https://mastoxiv.page/@arXiv_csLG_bot/113984059089245671
- On Agnostic PAC Learning in the Small Error Regime
Julian Asilis, Mikael M{\o}ller H{\o}gsgaard, Grigoris Velegkas
https://arxiv.org/abs/2502.09496 https://mastoxiv.page/@arXiv_csLG_bot/114000974082372598
- Preconditioned Inexact Stochastic ADMM for Deep Model
Shenglong Zhou, Ouya Wang, Ziyan Luo, Yongxu Zhu, Geoffrey Ye Li
https://arxiv.org/abs/2502.10784 https://mastoxiv.page/@arXiv_csLG_bot/114023667639951005
- On the Effect of Sampling Diversity in Scaling LLM Inference
Wang, Liu, Chen, Light, Liu, Chen, Zhang, Cheng
https://arxiv.org/abs/2502.11027 https://mastoxiv.page/@arXiv_csLG_bot/114023688225233656
- How to use score-based diffusion in earth system science: A satellite nowcasting example
Randy J. Chase, Katherine Haynes, Lander Ver Hoef, Imme Ebert-Uphoff
https://arxiv.org/abs/2505.10432 https://mastoxiv.page/@arXiv_csLG_bot/114516300594057680
- PEAR: Equal Area Weather Forecasting on the Sphere
Hampus Linander, Christoffer Petersson, Daniel Persson, Jan E. Gerken
https://arxiv.org/abs/2505.17720 https://mastoxiv.page/@arXiv_csLG_bot/114572963019603744
- Train Sparse Autoencoders Efficiently by Utilizing Features Correlation
Vadim Kurochkin, Yaroslav Aksenov, Daniil Laptev, Daniil Gavrilov, Nikita Balagansky
https://arxiv.org/abs/2505.22255 https://mastoxiv.page/@arXiv_csLG_bot/114589956040892075
- A Certified Unlearning Approach without Access to Source Data
Umit Yigit Basaran, Sk Miraj Ahmed, Amit Roy-Chowdhury, Basak Guler
https://arxiv.org/abs/2506.06486 https://mastoxiv.page/@arXiv_csLG_bot/114658421178857085
toXiv_bot_toot
@benb@osintua.eu2025-12-26 23:14:45
Mindich speaks to Ukrainian media for first time since fleeing country, denies guilt, claims no contact with Zelensky or Yermak: https://benborges.xyz/2025/12/26/mindich-speaks-to-ukrainian-media.html
@mgorny@social.treehouse.systems2026-01-25 14:06:52
Feline eye contact
"Wazzup, human?"
#cat
@theprivacydad@social.linux.pizza2026-01-24 23:56:14
3 Reasons Why Everyone Has "Something To Hide" - good article from @…
https://ghost.thenewoil.org/3-reasons-why-e…
@pre@boing.world2025-11-23 12:15:10
Not sure what the difference between a panel and a"fireside chat" is. There is no fire.
But here's a fireside chat on what nostr is.
Nostr is freedom for Identity. Accounts without hosts. Publishing without publidhers. Censorship resistance without platforms deciding who gets to say what.
It's not a silo in which you can be tapped as the service enshitifies, since it's a protocol with accounts you control, you can't switch clients or relays without loosing social graph or contacts.
Nostr is notes and Other Stuff, what other stuff? the panel is working on an audiobook publishing system with perhaps a required payment and affiliate revenue share. E-commerce, video publishing, zap stream for live video with zap payments.
Onboarding can be tricky with private key management needing to be understood and such a range of options of clients and what relays are. Can we make it easier?
Perhaps by abstracting away the fact it's nostr at all. Devine users don't even know they are using nostr. But this robs users of the understanding they may need to move clients or use the same account for video and notes, say.
Perhaps by making a private messagnger, the panel thinks people are used to using multiple messenger apps. Though I find they hate that, and that's why they refuse to install signal. They feel they don't need it since they already have WhatsApp with a bigger network.
In the end it's education. We have to teach literacy so people can read and write, we have to teach public keys encryption so people can do so securely.
#bitfest #nostr
@memeorandum@universeodon.com2026-01-23 04:15:43
U.S. Department of Education Finds Connetquot Central School District Violated Title VI by Complying with Native American Mascot Ban (U.S. Department of Education)
https://www.ed.gov/about/news/press-release/us-department-of-education-finds-connetquot-central-school-district-violated-title-vi-complying-native-american-mascot-ban
http://www.memeorandum.com/260122/p154#a260122p154
@aral@mastodon.ar.al2025-12-22 08:53:56
💬Readers added context they thought people might want to know…
“Europe is hurtling toward digital vassalage. Under Ursula von der Leyen, the European Commission president, EU laws to tackle tech giants have been either not applied or delayed, for fear of offending Donald Trump. Now leaked documents reveal that the European Commission plans to gut a central part of Europe’s digital rulebook. This will hurt Europe’s innovators and hand the future of Europe’s tech sovereignty to US firms.…
@netzschleuder@social.skewed.de2025-12-23 18:00:04
edit_wikiquote: Wikiquote edits (2010)
A bipartite user-page network extracted from Wikiquotes. A user connects to a page if that user edited that page. Edits (edges) are timestamped. Edge weights represent counts of the number of edits.
This network has 1438 nodes and 3450 edges.
Tags: Informational, Web graph, Multigraph, Timestamps
@benb@osintua.eu2026-01-23 22:02:40
A million-dollar parking fee: Canada's high-stakes battle over a stranded Russian plane: https://benborges.xyz/2026/01/23/a-milliondollar-parking-fee-canadas.html