Tootfinder

Privacy-Preserving Learning-Augmented Data Structures
Prabhav Goyal, Vinesh Sridhar, Wilson Zheng
https://arxiv.org/abs/2510.00165 https://arxiv.org/pdf/25…

Privacy-Preserving Learning-Augmented Data Structures
Learning-augmented data structures use predicted frequency estimates to retrieve frequently occurring database elements faster than standard data structures. Recent work has developed data structures that optimally exploit these frequency estimates while maintaining robustness to adversarial prediction errors. However, the privacy and security implications of this setting remain largely unexplored. In the event of a security breach, data structures should reveal minimal information beyond the…

The Trump administration plans to allow new oil and gas drilling off the California coast for the first time in roughly four decades
The proposed lease sales in the Pacific Ocean would primarily be off Santa Barbara County, Calif.,
where a small amount of drilling is already occurring, according to two of the people familiar with the Interior Department’s draft plan

Trump Is Said to Propose Opening California Coast to Oil Drilling
Gov. Gavin Newsom, a chief critic of the president and an opponent of oil exploration in the Pacific, called the proposal “dead on arrival.”

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

What is the contribution of gravitational infall on the mass assembly of star-forming clouds? A case study in a numerical simulation of the interstellar medium
No\'e Brucy, Enrique V\'azquez-Semadeni, Tine Colman, J\'er\'emy Fensch, Ralf S. Klessen
https://arxiv.org/abs/2510.09480

What is the contribution of gravitational infall on the mass assembly of star-forming clouds? A case study in a numerical simulation of the interstellar medium
Star formation in galaxies is a complex phenomenon occurring on a very wide range of scales, and molecular clouds are at the heart of this process. The formation of these structures and the subsequent collapse of the gas within them to form new stars remain unresolved scientific questions. In particular, the role and importance of gravity at between the disk scale height and prestellar cores (100 to 0.01 pc) are still topics of debate. In this work, we conduct a case study examining the mass as…

Er zijn goede argumenten om russische tegoeden niet in te zetten ten behoeve van Oekraine. Tegelijk is het alternatief ook duidelijk, dan gaan de europese burgers het betalen met belastingverhoging, korten op voorzieningen, uitkeringen etcetera. Tenzij een slimme financieel expert nog een andere truc bedenkt? 🤔
(Oekraine opgeven/laten verliezen kost nog veel meer geld overigens, los van het morele aspect)

On some 2-binomial coefficients of binary words: geometrical interpretation, partitions of integers, and fair words
Gwena\"el Richomme (LIRMM | ESCAPE, UMPV)
https://arxiv.org/abs/2510.07159

On some 2-binomial coefficients of binary words: geometrical interpretation, partitions of integers, and fair words
The binomial notation (w u) represents the number of occurrences of the word u as a (scattered) subword in w. We first introduce and study possible uses of a geometrical interpretation of (w ab) and (w ba) when a and b are distinct letters. We then study the structure of the 2-binomial equivalence class of a binary word w (two words are 2-binomially equivalent if they have the same binomial coefficients, that is, the same numbers of occurrences, for each word of length at most 2). Especially we…

«People distrust the media and government authorities for rational reasons. The problem is that those like Owens leap from the sensible, true fact that those in power have an interest in concealing inconvenient truths to outlandish ideas about what “the truth” actually is. It’s one reason people turn to quack medicine: their legitimate distrust of the healthcare system makes them easy prey for charlatans like Robert F. Kennedy Jr»
An unfortunately too common occurrence
https://www.currentaffairs.org/news/candace-owens-and-the-decay-of-the-american-brain

Prolonged fallback and late-time rebrightening episodes in stellar tidal disruptions as imprints of a galactic environment
Cedric O\~na, Sean Fortuna, Ian Vega
https://arxiv.org/abs/2510.07026

Prolonged fallback and late-time rebrightening episodes in stellar tidal disruptions as imprints of a galactic environment
We extend the classical Keplerian framework of existing analytic TDE models by incorporating the gravitational potential of a spherically symmetric galactic mass distribution. We then demonstrate that this broader structure imprints light curve features beyond the predictive scope of traditional models, such as phases of shallower-than-standard decay and late-time rebrightening episodes. Importantly, our framework predicts the occurrence of environment-induced rebrightenings but only on very lo…

Reversible computations are computations
Cl\'ement Aubert, Jean Krivine
https://arxiv.org/abs/2510.06585 https://arxiv.org/pdf/2510.06585

Reversible computations are computations
Causality serves as an abstract notion of time for concurrent systems. A computation is causal, or simply valid, if each observation of a computation event is preceded by the observation of its causes. The present work establishes that this simple requirement is equally relevant when the occurrence of an event is invertible. We propose a conservative extension of causal models for concurrency that accommodates reversible computations. We first model reversible computations using a symmetric res…

For over four months, masked federal officers have been arresting and disappearing immigrants attending their mandatory asylum court dates.
Photojournalists in New York City fought to maintain their First Amendment right to observe the chaotic, cruel, and often violent breach of due process occurring daily in NYC’s immigration courts.
https://

ICED out of America
For over four months, journalists have been bearing witness to America’s cruel and unusual treatment of immigrants and Trump’s militarized war against them. There seems to be no end in sight.