Tootfinder

Crosslisted article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[2/3]:
- Sharp Structure-Agnostic Lower Bounds for General Functional Estimation
Jikai Jin, Vasilis Syrgkanis
https://arxiv.org/abs/2512.17341 https://mastoxiv.page/@arXiv_statML_bot/115762312049963700
- Timely Information Updating for Mobile Devices Without and With ML Advice
Yu-Pin Hsu, Yi-Hsuan Tseng
https://arxiv.org/abs/2512.17381 https://mastoxiv.page/@arXiv_csNI_bot/115762180316858485
- SWE-Bench : A Framework for the Scalable Generation of Software Engineering Benchmarks from Open...
Wang, Ramalho, Celestino, Pham, Liu, Sinha, Portillo, Osunwa, Maduekwe
https://arxiv.org/abs/2512.17419 https://mastoxiv.page/@arXiv_csSE_bot/115762487015279852
- Perfect reconstruction of sparse signals using nonconvexity control and one-step RSB message passing
Xiaosi Gu, Ayaka Sakata, Tomoyuki Obuchi
https://arxiv.org/abs/2512.17426 https://mastoxiv.page/@arXiv_statML_bot/115762346108219997
- MULTIAQUA: A multimodal maritime dataset and robust training strategies for multimodal semantic s...
Jon Muhovi\v{c}, Janez Per\v{s}
https://arxiv.org/abs/2512.17450 https://mastoxiv.page/@arXiv_csCV_bot/115762717053353674
- When Data Quality Issues Collide: A Large-Scale Empirical Study of Co-Occurring Data Quality Issu...
Emmanuel Charleson Dapaah, Jens Grabowski
https://arxiv.org/abs/2512.17460 https://mastoxiv.page/@arXiv_csSE_bot/115762500123147574
- Behavioural Effects of Agentic Messaging: A Case Study on a Financial Service Application
Olivier Jeunen, Schaun Wheeler
https://arxiv.org/abs/2512.17462 https://mastoxiv.page/@arXiv_csIR_bot/115762430673347625
- Linear Attention for Joint Power Optimization and User-Centric Clustering in Cell-Free Networks
Irched Chafaa, Giacomo Bacci, Luca Sanguinetti
https://arxiv.org/abs/2512.17466 https://mastoxiv.page/@arXiv_eessSY_bot/115762336277179643
- Translating the Rashomon Effect to Sequential Decision-Making Tasks
Dennis Gross, J{\o}rn Eirik Betten, Helge Spieker
https://arxiv.org/abs/2512.17470 https://mastoxiv.page/@arXiv_csAI_bot/115762556506696539
- Alternating Direction Method of Multipliers for Nonlinear Matrix Decompositions
Atharva Awari, Nicolas Gillis, Arnaud Vandaele
https://arxiv.org/abs/2512.17473 https://mastoxiv.page/@arXiv_eessSP_bot/115762580078964235
- TwinSegNet: A Digital Twin-Enabled Federated Learning Framework for Brain Tumor Analysis
Almustapha A. Wakili, Adamu Hussaini, Abubakar A. Musa, Woosub Jung, Wei Yu
https://arxiv.org/abs/2512.17488 https://mastoxiv.page/@arXiv_csCV_bot/115762726884307901
- Resource-efficient medical image classification for edge devices
Mahsa Lavaei, Zahra Abadi, Salar Beigzad, Alireza Maleki
https://arxiv.org/abs/2512.17515 https://mastoxiv.page/@arXiv_eessIV_bot/115762459510336799
- PathBench-MIL: A Comprehensive AutoML and Benchmarking Framework for Multiple Instance Learning i...
Brussee, Valkema, Weijer, Doeleman, Schrader, Kers
https://arxiv.org/abs/2512.17517 https://mastoxiv.page/@arXiv_csCV_bot/115762741957639051
- HydroGym: A Reinforcement Learning Platform for Fluid Dynamics
Christian Lagemann, et al.
https://arxiv.org/abs/2512.17534 https://mastoxiv.page/@arXiv_physicsfludyn_bot/115762391350754768
- When De-noising Hurts: A Systematic Study of Speech Enhancement Effects on Modern Medical ASR Sys...
Chondhekar, Murukuri, Vasani, Goyal, Badami, Rana, SN, Pandia, Katiyar, Jagadeesh, Gulati
https://arxiv.org/abs/2512.17562 https://mastoxiv.page/@arXiv_csSD_bot/115762423443170715
- Enabling Disaggregated Multi-Stage MLLM Inference via GPU-Internal Scheduling and Resource Sharing
Lingxiao Zhao, Haoran Zhou, Yuezhi Che, Dazhao Cheng
https://arxiv.org/abs/2512.17574 https://mastoxiv.page/@arXiv_csDC_bot/115762425409322293
- SkinGenBench: Generative Model and Preprocessing Effects for Synthetic Dermoscopic Augmentation i...
N. A. Adarsh Pritam, Jeba Shiney O, Sanyam Jain
https://arxiv.org/abs/2512.17585 https://mastoxiv.page/@arXiv_eessIV_bot/115762479150695610
- MAD-OOD: A Deep Learning Cluster-Driven Framework for an Out-of-Distribution Malware Detection an...
Tosin Ige, Christopher Kiekintveld, Aritran Piplai, Asif Rahman, Olukunle Kolade, Sasidhar Kunapuli
https://arxiv.org/abs/2512.17594 https://mastoxiv.page/@arXiv_csCR_bot/115762509298207765
- Confidence-Credibility Aware Weighted Ensembles of Small LLMs Outperform Large LLMs in Emotion De...
Menna Elgabry, Ali Hamdi
https://arxiv.org/abs/2512.17630 https://mastoxiv.page/@arXiv_csCL_bot/115762575512981257
- Generative Multi-Objective Bayesian Optimization with Scalable Batch Evaluations for Sample-Effic...
Madhav R. Muthyala, Farshud Sorourifar, Tianhong Tan, You Peng, Joel A. Paulson
https://arxiv.org/abs/2512.17659 https://mastoxiv.page/@arXiv_statML_bot/115762554519447500
toXiv_bot_toot

From a selection of 2099 tracks, this is my week's #MondayRandom10:
1. The Smashing Pumpkins, “Lily (My One and Only)”
2. Goldie, "Inner City Life”
3. Qoiet, “cursedOBJECT”
4. Pop Will Eat Itself, “RSVP”
5. Rocky Leon, “Billionaire”
6. Ronnie James Dio, “Love is All”
7. Frankie Goes to Hollywood, “Relax”
8 Robert Palmer, “Simply Irresistible”

Futzing around with Narrator (because of its new Braille viewer, which I am working on testing) and reminded of the new speech log (“Speech Recap”):
Narrator Key Alt X
Wanted to confirm this is also true with Narrator:
https://adrianroselli.com/2020/08/speech…

Speech Viewer Logs of Lies
The headline is intentional hyperbole, chosen mostly for the sloppy alliteration. When sighted users test with a screen reader it is common to rely on the visual output — checking to see where focus goes, confirming that controls behave, watching the spoken output in a text log. The problem is…

Just made the best Katsu Curry sauce ever.
If anyone is interested in the recipe, here it is!
#Vegan #Food #PlantBased

Meu comitê de recepção ao chegar em casa. 😻
#CatsOfMastodon #Caturday

"This study could reshape climate lawsuits against fossil fuel companies"
#FossilFuels #Climate #ClimateChange

This study could reshape climate lawsuits against fossil fuel companies
The groundbreaking research offers evidence that specific fossil fuel giants drove economic losses for decades.

Ukraine on track to receive total of 3 million FPV drones in 2025, defense minister says: https://benborges.xyz/2025/12/24/ukraine-on-track-to-receive.html

»Clickbait führt bei KI-Modellen zu kognitivem Rückbau«
Dies ist nicht neu und schon gar nicht unvorhersehbar. Dass die KI sich selber betrügt (aus der Sicht der Menschen) ist nun mal seit jeher. Ich möchte hier nicht permanent KI-Kritik eusern aber zu viele Menschen folgen dem Marketing leichtgläubig so wie blind.
P.S. Der KI Kognition zu zuordnen ist schon Propaganda der Tech-Macht.
🤖

Clickbait führt bei KI-Modellen zu kognitivem Rückbau
Eine Studie beleuchtet die Auswirkungen von Clickbait auf KI-Modelle. Hohe Datenqualität ist entscheidend für die Leistung der Modelle.

I finally got around to adding the Narrator speech recap feature to my 2020 post “Speech Viewer Logs of Lies”:
https://adrianroselli.com/2020/08/speech-viewer-logs-of-lies.html#Update07
Video! We like video! 323kb of video! Big fat video!

Speech Viewer Logs of Lies
The headline is intentional hyperbole, chosen mostly for the sloppy alliteration. When sighted users test with a screen reader it is common to rely on the visual output — checking to see where focus goes, confirming that controls behave, watching the spoken output in a text log. The problem is…