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

https://www.instagram.com/p/DTy4y3VDpS0/?utm_source=ig_web_copy_link&igsh=NTc4MTIwNjQ2YQ==

Japan Daily on Instagram: "Abandoned suitcases are becoming a growing issue at Narita Airport, where nearly 900 pieces of luggage have already been collected this fiscal year—about nine times more than four years ago. Police say around 10% of the bags are empty, suggesting intentional disposal, with storage and disposal costs ultimately borne by taxpayers. The problem extends beyond airports to train stations and public spaces, often linked to travelers avoiding disposal fees after shopping. In response, Narita Airport is testing solutions such as clothing compression machines to help travelers save space and avoid buying new luggage. Retailers and repair businesses are also encouraging reuse through free take-back and resale programs, aiming to reduce waste and promote more sustainable travel habits."
49 likes, 0 comments - japandaily_jp on January 21, 2026: "Abandoned suitcases are becoming a growing issue at Narita Airport, where nearly 900 pieces of luggage have already been collected this fiscal year—about nine times more than four years ago. Police say around 10% of the bags are empty, suggesting intentional disposal, with storage and disposal costs ultimately borne by taxpayers. The problem extends beyond airports to train stations and public spaces, often linked to travelers avoid…

Source: Binance considers reintroducing stock tokens after removing them in 2021; OKX, Kraken, Bitget, and others are expanding their tokenized stock offerings (Yueqi Yang/The Information)
https://www.theinformation.com/articles/crypto-exchanges-want…

Crypto Exchanges Want to Trade U.S. Stocks Everywhere
Some of the world’s biggest crypto exchanges are racing to let their customers trade crypto tokens that seek to track U.S. stocks, creating a parallel market that’s beyond the reach of U.S. regulators. Binance is exploring reintroducing stock tokens on its exchange after having removed them in ...

Series C, Episode 01 - Aftermath
LAUREN: There's no need. I can handle it, Dayna.
MELLANBY: All right, but don't take any chances.
LAUREN: I won't.
DAYNA: Keep your head down.
LAUREN: I always do.
[On the beach]
https://blake.torpidity.net/m/301/377 B…

In her Lawfare Lecture series,
Laura K. Field discusses the intellectual movements behind the MAGA new right.
You can watch the first three lectures on Lawfare's YouTube page.
https://m.youtube.com/playlist?list=PL9f-8IUHQF3kj_C9dAdqVLzFJOGEWfPr3

Lawfare Lecture: The Making of the MAGA New Right with Dr. Laura Field

#TIL: von der reihe "Mistress of the Art of Death" von Ariana Franklin ist 2020 noch ein fünfter band erschienen!
https://www.goodreads.com/series/44043-mistress-of-th…

Let's expose more hidden links in #Jellyfin for #Roku!!!!!!!!
Moving the search and settings links out from under the user menu and putting them directly on the home screen.
#UX

Source: Bari Weiss got personally involved with political stories, after Trump criticized 60 Minutes for interviewing Marjorie Taylor Greene earlier this month (Brian Stelter/CNN)
http://www.cnn.com/2025/12/22/media/bari-weiss-60-minutes-cecot-cbs-alfonsi-…

Inside the Bari Weiss decision that led to a ‘60 Minutes’ crisis
Earlier this month, after President Donald Trump blasted “60 Minutes” for interviewing Marjorie Taylor Greene, correspondents noticed a change behind the scenes.

The curl project plans to end its HackerOne bug bounty program at the end of January, citing a surge in low-quality AI-generated vulnerability reports (Lawrence Abrams/BleepingComputer)
https://www.bleepingcomputer.com/news/securi…