Tootfinder

LaDCast: A Latent Diffusion Model for Medium-Range Ensemble Weather Forecasting
Yilin Zhuang, Karthik Duraisamy
https://arxiv.org/abs/2506.09193 https://…

LaDCast: A Latent Diffusion Model for Medium-Range Ensemble Weather Forecasting
Accurate probabilistic weather forecasting demands both high accuracy and efficient uncertainty quantification, challenges that overburden both ensemble numerical weather prediction (NWP) and recent machine-learning methods. We introduce LaDCast, the first global latent-diffusion framework for medium-range ensemble forecasting, which generates hourly ensemble forecasts entirely in a learned latent space. An autoencoder compresses high-dimensional ERA5 reanalysis fields into a compact representa…

Refining ensemble $N$-representability of one-body density matrices from partial information
Julia Liebert, Anna O. Schouten, Irma Avdic, Christian Schilling, David A. Mazziotti
https://arxiv.org/abs/2506.09960

Refining ensemble $N$-representability of one-body density matrices from partial information
The $N$-representability problem places fundamental constraints on reduced density matrices (RDMs) that originate from physical many-fermion quantum states. Motivated by recent developments in functional theories, we introduce a hierarchy of ensemble one-body $N$-representability problems that incorporate partial knowledge of the one-body reduced density matrices (1RDMs) within an ensemble of $N$-fermion states with fixed weights $w_i$. Specifically, we propose a systematic relaxation that redu…

Malheureusement, notre cagnotte juridique nécessite encore votre aide. Les victimes que notre association représente ont toujours besoin de vous. Nous avons déjŠ collecté plus de 9399€ grâce Š votre générosité 🙏💙
https://chardonsbleus.org/luttons-ensemb…

Locating the QCD critical point with neutron-star observations
Christian Ecker, Niko Jokela, Matti J\"arvinen
https://arxiv.org/abs/2506.10065 https:/…

Locating the QCD critical point with neutron-star observations
We present a probabilistic model for the QCD critical endpoint (CEP) and the equation of state (EOS) at $β$-equilibrium, constrained by neutron-star observations. Using a hybrid framework that combines the holographic V-QCD model with an effective van der Waals description of nuclear matter, we generate a large ensemble of EOSs incorporating nuclear theory uncertainties. Constraining this ensemble with neutron-star mass-radius data and tidal deformability measurements from gravitational waves,…

🇺🇦 #NowPlaying on BBCRadio3's #Breakfast
Wolfgang Amadeus Mozart & Academy of St Martin in the Fields Chamber Ensemble:
🎵 Divertimento in B flat major, K 287 (1st mvt)
#WolfgangAmadeusMozart
https://open.spotify.com/track/3geB9TJDHhHxW0sTyXHCgD

WWAggr: A Window Wasserstein-based Aggregation for Ensemble Change Point Detection
Alexander Stepikin, Evgenia Romanenkova, Alexey Zaytsev
https://arxiv.org/abs/2506.08066

WWAggr: A Window Wasserstein-based Aggregation for Ensemble Change Point Detection
Change Point Detection (CPD) aims to identify moments of abrupt distribution shifts in data streams. Real-world high-dimensional CPD remains challenging due to data pattern complexity and violation of common assumptions. Resorting to standalone deep neural networks, the current state-of-the-art detectors have yet to achieve perfect quality. Concurrently, ensembling provides more robust solutions, boosting the performance. In this paper, we investigate ensembles of deep change point detectors an…

Experimental observation of subabsorption
D. C. Gold, U. Saglam, S. Carpenter, A. Yadav, M. Beede, T. G. Walker, M. Saffman, D. D. Yavuz
https://arxiv.org/abs/2506.09872

Experimental observation of subabsorption
We predict and experimentally demonstrate a new type of collective (cooperative) coupling effect where a disordered atomic ensemble absorbs light with a rise-time longer (i. e., at a rate slower) than what is dictated by single-atom physics. This effect, which we name subabsorption, can be viewed as the absorptive analog of subradiance. The experiment is performed using a dilute ensemble of ultracold $^{87}$Rb atoms with a low optical depth, and time-resolving the absorption of a weak (tens of …

Luttons ensemble pour les droits des enfants et contre les violences sexistes et sexuelles !
Un appel du cœur pour que les violences Š l'encontre des enfants mineurs soient prises au sérieux et deviennent une réelle priorité de nos sociétés.
https://chardonsbleus.…

The half-space KPZ line ensemble and its scaling limit
Sayan Das, Christian Serio
https://arxiv.org/abs/2506.07939 https://arxiv.org/…

The half-space KPZ line ensemble and its scaling limit
For each $α\in \mathbb{R}$, $t \geq 1$, we show that there exists a unique $\mathbb{N}$-indexed line ensemble of random continuous curves $\mathbb{R}_{\le 0} \to \mathbb{R}$ with the following properties: (1) The top curve is distributed as the time-$t$ Cole--Hopf solution to the half-space KPZ equation with narrow wedge initial condition and Neumann boundary condition with parameter $α$. (2) The line ensemble satisfies a one-sided resampling invariance property, involving softly non-inte…

On Chaos in QFT
Jacob Sonnenschein, Nadav Shrayer
https://arxiv.org/abs/2506.10784 https://arxiv.org/pdf/2506.10784

On Chaos in QFT
In this note we explore the chaotic behavior of non-integrable QFTs and compare them to integrable ones. We choose as prototypes the double sine-Gordon and the sine-Gordon models. We analyze their discrete spectrum determined by a truncation method. We examine the map of the corresponding energy eigenvalues to the eigenvalues of the random matrix theory (RMT) Gaussian orthogonal ensemble (GOE). This is done by computing the following properties: (a) The distribution of the adjacent spacings and…

York's Cavity Formalism and Quantum Modified Thermodynamics of (2 1)D Black Holes
Prince A Ganai, Nadeem Ul Islam, Nazir A Ganaie
https://arxiv.org/abs/2506.09086

York's Cavity Formalism and Quantum Modified Thermodynamics of (2+1)D Black Holes
We investigate the thermodynamic behavior of $(2+1)$ dimensional BTZ black holes using York's cavity formalism, in which the black hole is enclosed within a finite-radius boundary held at a fixed temperature. This canonical ensemble construction enables the precise derivation of thermodynamic quantities such as temperature, energy, entropy, pressure, and heat capacity via the integral Euclidean path approach. Extending this analysis, we incorporate quantum corrections through Barrow entropy, a …

Le trafic est perturbé sur l'ensemble de la ligne.
Pour plus d’informations sur cette perturbation, consultez le fil X du RER C.
Motif : affaires oubliées en gare des Invalides.
🤖 11/06 18:33

Plus de 4889€ collectés ! 🚀 Objectif : 12 439 €. Ensemble, soutenons la justice et les victimes. Chaque don compte pour atteindre notre but. Merci pour votre engagement ! 💙🌟
👉 https://chardonsbleus.org/cagnotte-en-ligne

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[4/4]:
- Attention-Enhanced Deep Learning Ensemble for Breast Density Classification in Mammography
Peyman Sharifian, Xiaotong Hong, Alireza Karimian, Mehdi Amini, Hossein Arabi

This https://arxiv.org/abs/2506.02841 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Ensemble-MIX: Enhancing Sample Efficiency in Multi-Agent RL Using Ensemble Methods
Multi-agent reinforcement learning (MARL) methods have achieved state-of-the-art results on a range of multi-agent tasks. Yet, MARL algorithms typically require significantly more environment interactions than their single-agent counterparts to converge, a problem exacerbated by the difficulty in exploring over a large joint action space and the high variance intrinsic to MARL environments. To tackle these issues, we propose a novel algorithm that combines a decomposed centralized critic with d…

A weighted quantum ensemble of homogeneous quantum classifiers
Emiliano Tolotti, Enrico Blanzieri, Davide Pastorello
https://arxiv.org/abs/2506.07810 https…

A weighted quantum ensemble of homogeneous quantum classifiers
Ensemble methods in machine learning aim to improve prediction accuracy by combining multiple models. This is achieved by ensuring diversity among predictors to capture different data aspects. Homogeneous ensembles use identical models, achieving diversity through different data subsets, and weighted-average ensembles assign higher influence to more accurate models through a weight learning procedure. We propose a method to achieve a weighted homogeneous quantum ensemble using quantum classifie…

RETENTION: Resource-Efficient Tree-Based Ensemble Model Acceleration with Content-Addressable Memory
Yi-Chun Liao, Chieh-Lin Tsai, Yuan-Hao Chang, Cam\'elia Slimani, Jalil Boukhobza, Tei-Wei Kuo
https://arxiv.org/abs/2506.05994

RETENTION: Resource-Efficient Tree-Based Ensemble Model Acceleration with Content-Addressable Memory
Although deep learning has demonstrated remarkable capabilities in learning from unstructured data, modern tree-based ensemble models remain superior in extracting relevant information and learning from structured datasets. While several efforts have been made to accelerate tree-based models, the inherent characteristics of the models pose significant challenges for conventional accelerators. Recent research leveraging content-addressable memory (CAM) offers a promising solution for acceleratin…

An Interpretable Machine Learning Approach in Predicting Inflation Using Payments System Data: A Case Study of Indonesia
Wishnu Badrawani
https://arxiv.org/abs/2506.10369

An Interpretable Machine Learning Approach in Predicting Inflation Using Payments System Data: A Case Study of Indonesia
This paper evaluates the performance of prominent machine learning (ML) algorithms in predicting Indonesia's inflation using the payment system, capital market, and macroeconomic data. We compare the forecasting performance of each ML model, namely shrinkage regression, ensemble learning, and super vector regression, to that of the univariate time series ARIMA and SARIMA models. We examine various out-of-bag sample periods in each ML model to determine the appropriate data-splitting ratios for …

💔 Les survivants d’OKC ont surmonté des défis incroyables. Ensemble, luttons pour leur droit Š la justice. Rejoignez-nous pour mettre fin Š l'impunité. 🙏 👉 https://chardonsbleus.org/

Association Chardons Bleus - Un combat contre la dérive sectaire OKC depuis 27 ans
l'Association Chardons Bleus réunit des victimes-survivants parties civiles dans l'affaire OKC en France après 10 ans de bataille judiciaire en Belgique

Biologically Inspired Deep Learning Approaches for Fetal Ultrasound Image Classification
Rinat Prochii, Elizaveta Dakhova, Pavel Birulin, Maxim Sharaev
https://arxiv.org/abs/2506.08623

Biologically Inspired Deep Learning Approaches for Fetal Ultrasound Image Classification
Accurate classification of second-trimester fetal ultrasound images remains challenging due to low image quality, high intra-class variability, and significant class imbalance. In this work, we introduce a simple yet powerful, biologically inspired deep learning ensemble framework that-unlike prior studies focused on only a handful of anatomical targets-simultaneously distinguishes 16 fetal structures. Drawing on the hierarchical, modular organization of biological vision systems, our model sta…

Capability demonstration of a JEDI-based system for TEMPO assimilation: system description and evaluation
Maryam Abdi-Oskouei, J\'er\^ome Barr\'e
https://arxiv.org/abs/2506.07321

Capability demonstration of a JEDI-based system for TEMPO assimilation: system description and evaluation
The launch of the Tropospheric Emissions: Monitoring of Pollution (TEMPO) mission in 2023 marked a new era in air quality monitoring by providing high-frequency, geostationary observations of column NO2 across North America. In this study, we present the first implementation of a TEMPO NO2 data assimilation system using the Joint Effort for Data assimilation Integration (JEDI) framework. Leveraging a four-dimensional ensemble variational (4DEnVar) approach and an Ensemble of Data Assimilations …

Self-ensemble: Mitigating Confidence Distortion for Large Language Models
Zicheng Xu, Guanchu Wang, Guangyao Zheng, Yu-Neng Chuang, Alexander Szalay, Xia Hu, Vladimir Braverman
https://arxiv.org/abs/2506.01951

Self-ensemble: Mitigating Confidence Distortion for Large Language Models
Although Large Language Models (LLMs) perform well in general fields, they exhibit a confidence distortion problem on multi-choice question-answering (MCQA), particularly as the number of answer choices increases. Specifically, on MCQA with many choices, LLMs suffer from under-confidence in correct predictions and over-confidence in incorrect ones, leading to a substantially degraded performance. To solve this problem, we propose Self-ensemble in this work. Our method splits the choices into se…

Understanding Overadaptation in Supervised Fine-Tuning: The Role of Ensemble Methods
Yifan Hao, Xingyuan Pan, Hanning Zhang, Chenlu Ye, Rui Pan, Tong Zhang
https://arxiv.org/abs/2506.01901

Understanding Overadaptation in Supervised Fine-Tuning: The Role of Ensemble Methods
Supervised fine-tuning (SFT) on domain-specific data is the dominant approach for adapting foundation models to specialized tasks. However, it has been observed that SFT models tend to forget knowledge acquired during pretraining. In vision models, ensembling a pretrained model with its fine-tuned counterpart has been shown to mitigate this issue. In this work, we demonstrate that the same holds for language models, and, more strikingly, we observe an overadaptation phenomenon: the ensemble mod…

Fascinating bit of history
“My dad stepped in to greet the ensemble – and then in came The King”: Billy Gibbons shares the story of the “treasured moment” he sat in on a B.B. King session – as a child | Guitar World https://www.guitarworld.com/artists/guitar

“My dad stepped in to greet the ensemble – and then in came The King”: Billy Gibbons shares the story of the “treasured moment” he sat in on a B.B. King session – as a child
Long before he got the chance to pick it up for himself, the ZZ Top man found himself in a truly formative session with an icon of electric guitar

A Hybrid Ensemble Learning Framework for Image-Based Solar Panel Classification
Vivek Tetarwal, Sandeep Kumar
https://arxiv.org/abs/2507.01778 https://

A Hybrid Ensemble Learning Framework for Image-Based Solar Panel Classification
The installation of solar energy systems is on the rise, and therefore, appropriate maintenance techniques are required to be used in order to maintain maximum performance levels. One of the major challenges is the automated discrimination between clean and dirty solar panels. This paper presents a novel Dual Ensemble Neural Network (DENN) to classify solar panels using image-based features. The suggested approach utilizes the advantages offered by various ensemble models by integrating them in…

🇺🇦 #NowPlaying on BBCRadio3's #LateJunction
Ensemble Nist-Nah:
🎵 Gerak Maju
#EnsembleNistNah

🌍 Le pouvoir d'Internet est incroyable! Votre contribution peut faire toute la différence dans l'affaire OKC-Spatz. Ensemble, soutenons les victimes pour qu'elles obtiennent enfin justice. 💼👉 https://chardonsbleus.org/cagnotte-en-ligne

Comme un air de déjŠ vu... Coucou @… https://mastodon.top/@Haviorig/114819403426671442

Haviorig 🌈, presque Rohirrim (@Haviorig@mastodon.top)
Attaché : 1 image Miam miam #MardiPatisserie

Sub-Ensemble Isolation in SERF Magnetometry Enabled by Micrometer-Scale Polarization Control
Zihua Liang, Yuhao Zhang, Lu Liu, Jinsheng Hu, Peng Zhou, Gen Hu, Gaopu Hou, Mao Ye
https://arxiv.org/abs/2506.23160

Sub-Ensemble Isolation in SERF Magnetometry Enabled by Micrometer-Scale Polarization Control
Conventional understanding of spin-exchange relaxation-free (SERF) atom ensemble pertains to the common perception that the rapid exchange of atom state finally results in uniform time evolution of the whole ensemble. However, in this study, we demonstrate that by manipulation of pumping polarization in micro-meter level, misalignment between the time evolution of different sub-ensemble can be created within single SERF ensemble with unprecedent independency. A novel pumping system consists of …

Numerical search for states with constant enstrophy flux over finite time intervals in two-dimensional turbulence
Kyo Yoshida
https://arxiv.org/abs/2507.04853

Numerical search for states with constant enstrophy flux over finite time intervals in two-dimensional turbulence
An ensemble model of turbulence based on states with constant flux in wavenumber space was proposed in [K. Yoshida, Phys. Rev. E, 106, 045106 (2022)]. The justification of this ensemble model relies on the conjecture that almost all states with constant flux correspond to turbulence states. To verify this conjecture, a numerical search for states with constant enstrophy flux in wavenumber space over finite time intervals in two-dimension turbulence is conducted using a Monte Carlo method. Prope…

🌟 Chardons Bleus soutient 6 survivant-es dans l’affaire OKC-Spatz. Pour garantir un procès équitable, votre soutien financier est crucial. Ensemble, faisons triompher la justice ! 💙 👉 https://chardonsbleus.org/cagnotte-en-ligne

Faire un don | Association Chardons Bleus
Transparence Le bilan total des dons sera actualisé toutes les deux semaines. Quand vous faites un don hors-ligne par virement bancaire, votre montant de do ...

50 years ago tonight in san rafael, the only circulating tape of the full seastones ensemble featuring ned lagin, phil lesh, jerry garcia, david crosby, & mickey hart (in orchestra pit), celebrating the newly released LP. definition of a fully blended quintet & the last circulating lagin/garcia tape. one of the gems of the tape canon. owsley tape, tracks 34-42:

Generating single- and many-body quantum magnonic states
Violet Williams, Jayakrishnan M. P. Nair, Yaroslav Tserkovnyak, Benedetta Flebus
https://arxiv.org/abs/2507.05971

Generating single- and many-body quantum magnonic states
The growing interest in quantum magnonics is driving the development of advanced techniques for generating, controlling, and detecting non-classical magnonic states. Here, we explore the potential of an ensemble of solid-state spin defects coupled to a shared magnetic bath as a source of such states. We establish a theoretical framework to characterize the quantum correlations among magnons emitted by the ensemble into the bath and investigate how these correlations depend on experimentally tun…

VOTE: Vision-Language-Action Optimization with Trajectory Ensemble Voting
Juyi Lin, Amir Taherin, Arash Akbari, Arman Akbari, Lei Lu, Guangyu Chen, Taskin Padir, Xiaomeng Yang, Weiwei Chen, Yiqian Li, Xue Lin, David Kaeli, Pu Zhao, Yanzhi Wang
https://arxiv.org/abs/2507.05116

VOTE: Vision-Language-Action Optimization with Trajectory Ensemble Voting
Recent large-scale Vision Language Action (VLA) models have shown superior performance in robotic manipulation tasks guided by natural language. However, their generalization remains limited when applied to novel objects or unfamiliar environments that lie outside the training distribution. To address this, many existing approaches integrate additional components such as depth estimation, segmentation, or even diffusion to improve generalization, at the cost of adding significant computation ov…

High Energy States of Recurrent Chaotic Trajectories in Time-Dependent Potential Well
Matheus S. Palmero, Flavio H. Graciano, Edson D. Leonel, Juliano A. de Oliveira
https://arxiv.org/abs/2507.07801

High Energy States of Recurrent Chaotic Trajectories in Time-Dependent Potential Well
In this numerical study, recurrence quantification analysis of chaotic trajectories is explored to detect atypical dynamical behaviour in non-linear Hamiltonian systems. An ensemble of initial conditions is evolved up to a maximum iteration time, and the recurrence rate of each orbit is computed, allowing a subset of trajectories exhibiting significantly higher recurrences than the ensemble average to be identified. These special trajectories are determined through a suitable statistical distri…

⚖️ Justice pour les victimes de dérives sectaires. L’affaire OKC-Spatz doit passer au procès, mais l’accès Š la justice reste un luxe. Ensemble, faisons bouger les lignes. 💙 👉 https://chardonsbleus.org/cagnotte-en-ligne

Faire un don | Association Chardons Bleus
Transparence Le bilan total des dons sera actualisé toutes les deux semaines. Quand vous faites un don hors-ligne par virement bancaire, votre montant de do ...

J’ai toujours essayé d’exercer mon mandat dans un esprit de concorde, en favorisant la collaboration horizontale. Cet esprit-lŠ, je l’ai souvent retrouvé au sein de la municipalité, où nous avons su avancer ensemble. Mais je constate un manque croissant de volonté de rechercher des terrains d’entente. Nous sommes dans une époque où la confrontation semble davantage valorisée que la construction collective. Je ne m’y retrouve plus. ~Pierre Dessemontet
https://www.letemps.ch/suisse/vaud/pierre-dessemontet-le-climat-politique-a-yverdon-est-devenu-plus-dur-et-polarise-je-ne-m-y-retrouve-pas

Ensemble Kalman Filter for Data Assimilation coupled with low-resolution computations techniques applied in Fluid Dynamics
Paul Jeanney, Ashton Hetherington, Shady E. Ahmed, David Lanceta, Susana Saiz, Jos\'e Miguel Perez, Soledad Le CLainche
https://arxiv.org/abs/2507.00539

Ensemble Kalman Filter for Data Assimilation coupled with low-resolution computations techniques applied in Fluid Dynamics
This paper presents an innovative Reduced-Order Model (ROM) for merging experimental and simulation data using Data Assimilation (DA) to estimate the "True" state of a fluid dynamics system, leading to more accurate predictions. Our methodology introduces a novel approach implementing the Ensemble Kalman Filter (EnKF) within a reduced-dimensional framework, grounded in a robust theoretical foundation and applied to fluid dynamics. To address the substantial computational demands of DA, the prop…

Tu parles d'une décentralisation :
"À l'heure actuelle, les 8 % de portefeuilles cryptographiques les plus importants détiennent un peu moins de 99 % de l'ensemble des bitcoins en circulation. En zoomant encore plus, nous constatons que les 1 % de portefeuilles les plus importants contrôlent plus de 90 % de l'ensemble des bitcoins."
#crypto

Le 9 juin, le trafic est interrompu sur l'ensemble de la ligne en raison de travaux de modernisation.
Bus de remplacement.
#Info_Travaux
🤖 09/06 04:52

Comeback der "Sketch History"
Nach sechs Jahren Pause: "Sketch History" kehrt ins ZDF zurück - Drehstart für zehn neue Folgen der preisgekrönten Comedyreihe - Ensemble erweitert.
http://www.kabarett-news.de/News-vom-05.07.2025-sketch-history.html…

This https://arxiv.org/abs/2208.04506 has been replaced.
link: https://scholar.google.com/scholar?q=a

Second Order Ensemble Langevin Method for Sampling and Inverse Problems
We propose a sampling method based on an ensemble approximation of second order Langevin dynamics. The log target density is appended with a quadratic term in an auxiliary momentum variable and damped-driven Hamiltonian dynamics introduced; the resulting stochastic differential equation is invariant to the Gibbs measure, with marginal on the position coordinates given by the target. A preconditioner based on covariance under the law of the dynamics does not change this invariance property, and …

This https://arxiv.org/abs/2503.11391 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Fixed points of DT transformations, cluster exponents and degrees of Weyl groups
Inspired by a recent work of Y. Mizuno, we show that the DT transformations on a cluster ensemble of finite type admit unique totally positive fixed points, and that the exponents of the linearizations of the DT transformations at the fixed points are precisely the degrees of the Weyl group of the corresponding finite root system.

⚖️ Justice pour les victimes de dérives sectaires. L’affaire OKC-Spatz doit passer au procès, mais l’accès Š la justice reste un luxe. Ensemble, faisons bouger les lignes. 💙 👉 https://chardonsbleus.org/cagnotte-en-ligne

Le trafic est perturbé sur l'ensemble de la ligne.
Pour plus d'informations sur cette perturbation, consultez le fil X du RER C.
Motif : prolongation des travaux sur le réseau ferroviaire (en gare de Paris Austerlitz).
🤖 10/07 11:53

Solar Flare Prediction Using LSTM and DLSTM with Sliding Window Pattern Recognition
Zeinab Hassani, Davud Mohammadpur, Hossein Safari
https://arxiv.org/abs/2507.05313

Solar Flare Prediction Using LSTM and DLSTM with Sliding Window Pattern Recognition
We investigate the use of Long Short-Term Memory (LSTM) and Decomposition-LSTM (DLSTM) networks, combined with an ensemble algorithm, to predict solar flare occurrences using time-series data from the GOES catalog. The dataset spans from 2003 to 2023 and includes 151,071 flare events. Among approximately possible patterns, 7,552 yearly pattern windows are identified, highlighting the challenge of long-term forecasting due to the Sun's complex, self-organized criticality-driven behavior. A slidi…

MAMBO: High-Resolution Generative Approach for Mammography Images
Milica \v{S}kipina, Nikola Jovi\v{s}i\'c, Nicola Dall'Asen, Vanja \v{S}venda, Anil Osman Tur, Slobodan Ili\'c, Elisa Ricci, Dubravko \'Culibrk
https://arxiv.org/abs/2506.08677

MAMBO: High-Resolution Generative Approach for Mammography Images
Mammography is the gold standard for the detection and diagnosis of breast cancer. This procedure can be significantly enhanced with Artificial Intelligence (AI)-based software, which assists radiologists in identifying abnormalities. However, training AI systems requires large and diverse datasets, which are often difficult to obtain due to privacy and ethical constraints. To address this issue, the paper introduces MAMmography ensemBle mOdel (MAMBO), a novel patch-based diffusion approach des…

Optimal absorption and emission of itinerant fields into a spin ensemble memory
Linda Greggio, Tristan Lorriaux, Alexandru Petrescu, Mazyar Mirrahimi, Audrey Bienfait
https://arxiv.org/abs/2506.06107

Optimal absorption and emission of itinerant fields into a spin ensemble memory
Quantum memories integrated in a modular quantum processing architecture can rationalize the resources required for quantum computation. This work focuses on spin-based quantum memories, where itinerant electromagnetic fields are stored in large ensembles of effective two-level systems, such as atomic or solid-state spin ensembles, embedded in a cavity. Using a mean-field framework, we model the ensemble as an effective spin communication channel and develop a cascaded quantum model to describe…

An exact solution of planar QCD by a complex matrix ensemble
Alexander Migdal
https://arxiv.org/abs/2507.05096 https://arxiv.org/pdf/…

An exact solution of planar QCD by a complex matrix ensemble
We construct an exact solution to the planar QCD loop equation in four-dimensional Euclidean space using a novel matrix-valued momentum loop formalism. Central to this construction is a new loop calculus, where functional derivatives act on the loop velocity $\dot C(θ)$. This framework yields finite, well-defined expressions for point and area derivatives in loop space and highlights the role of the loop-space Bianchi identity in ensuring consistency with gauge theory. The Wilson loop is rep…

Ensemble-MIX: Enhancing Sample Efficiency in Multi-Agent RL Using Ensemble Methods
Tom Danino, Nahum Shimkin
https://arxiv.org/abs/2506.02841 https://

Ensemble-MIX: Enhancing Sample Efficiency in Multi-Agent RL Using Ensemble Methods
Multi-agent reinforcement learning (MARL) methods have achieved state-of-the-art results on a range of multi-agent tasks. Yet, MARL algorithms typically require significantly more environment interactions than their single-agent counterparts to converge, a problem exacerbated by the difficulty in exploring over a large joint action space and the high variance intrinsic to MARL environments. To tackle these issues, we propose a novel algorithm that combines a decomposed centralized critic with d…

Malheureusement, notre cagnotte juridique nécessite encore votre aide. Les victimes que notre association représente ont toujours besoin de vous. Nous avons déjŠ collecté plus de 8399€ grâce Š votre générosité 🙏💙
https://chardonsbleus.org/luttons-ense

Quantum sensing with ultracold simulators in lattice and ensemble systems: a review
Keshav Das Agarwal, Sayan Mondal, Ayan Sahoo, Debraj Rakshit, Aditi Sen De, Ujjwal Sen
https://arxiv.org/abs/2507.06348

Quantum sensing with ultracold simulators in lattice and ensemble systems: a review
Sensing of parameters is an important aspect in all disciplines, with applications ranging from fundamental science to medicine. Quantum sensing and metrology is an emerging field that lies at the cross-roads of quantum physics, quantum technology, and the discipline in which the parameter estimation is to be performed. While miniaturization of devices often requires quantum mechanics to be utilized for understanding and planning of a parameter estimation, quantum-enhanced sensing is also possi…

Replaced article(s) found for physics.ao-ph. https://arxiv.org/list/physics.ao-ph/new/
[1/1]:
Unbiased calculation, evaluation, and calibration of ensemble forecast anomalies

On the Error Exponent Distribution of Code Ensembles over Classical-Quantum Channels
Giuseppe Cocco, Javier Rodr\'iguez Fonollosa
https://arxiv.org/abs/2507.06868

On the Error Exponent Distribution of Code Ensembles over Classical-Quantum Channels
We show that the probability distribution of the error exponent in i.i.d. code ensembles over classical-quantum (CQ) channels with arbitrary output states accumulates above a threshold that is strictly larger than the CQ random coding exponent (RCE) at low rates, while coinciding with it at rates close to the mutual information of the channel. This result, combined with the work by Dalai [1] and the recent ones by Renes [2] and Li and Yang [3], implies that the ensemble distribution of error ex…

Electricity Market Predictability: Virtues of Machine Learning and Links to the Macroeconomy
Jinbo Cai, Wenze Li, Wenjie Wang
https://arxiv.org/abs/2507.07477

Electricity Market Predictability: Virtues of Machine Learning and Links to the Macroeconomy
With stakeholder-level in-market data, we conduct a comparative analysis of machine learning (ML) for forecasting electricity prices in Singapore, spanning 15 individual models and 4 ensemble approaches. Our empirical findings justify the three virtues of ML models: (1) the virtue of capturing non-linearity, (2) the complexity (Kelly et al., 2024) and (3) the l2-norm and bagging techniques in a weak factor environment (Shen and Xiu, 2024). Simulation also supports the first virtue. Penalizing p…

This https://arxiv.org/abs/2505.16784 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

Four Eyes Are Better Than Two: Harnessing the Collaborative Potential of Large Models via Differentiated Thinking and Complementary Ensembles
In this paper, we present the runner-up solution for the Ego4D EgoSchema Challenge at CVPR 2025 (Confirmed on May 20, 2025). Inspired by the success of large models, we evaluate and leverage leading accessible multimodal large models and adapt them to video understanding tasks via few-shot learning and model ensemble strategies. Specifically, diversified prompt styles and process paradigms are systematically explored and evaluated to effectively guide the attention of large models, fully unleas…

This https://arxiv.org/abs/2305.12844 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

An Optimized Ensemble Deep Learning Model For Brain Tumor Classification
Brain tumors present a grave risk to human life, demanding precise and timely diagnosis for effective treatment. Inaccurate identification of brain tumors can significantly diminish life expectancy, underscoring the critical need for precise diagnostic methods. Manual identification of brain tumors within vast Magnetic Resonance Imaging (MRI) image datasets is arduous and time-consuming. Thus, the development of a reliable deep learning (DL) model is essential to enhance diagnostic accuracy and…

Le 9 juin, le trafic sera interrompu sur l'ensemble de la ligne en raison de travaux de modernisation.
Bus de remplacement.
#Info_Travaux
🤖 09/06 04:45

Benchmarking Spiking Neurons for Linear Quadratic Regulator Control of Multi-linked Pole on a Cart: from Single Neuron to Ensemble
Shreyan Banerjee, Luna Gava, Aasifa Rounak, Vikram Pakrashi
https://arxiv.org/abs/2507.03621

Benchmarking Spiking Neurons for Linear Quadratic Regulator Control of Multi-linked Pole on a Cart: from Single Neuron to Ensemble
The emerging field of neuromorphic computing for edge control applications poses the need to quantitatively estimate and limit the number of spiking neurons, to reduce network complexity and optimize the number of neurons per core and hence, the chip size, in an application-specific neuromorphic hardware. While rate-encoding for spiking neurons provides a robust way to encode signals with the same number of neurons as an ANN, it often lacks precision. To achieve the desired accuracy, a populati…

XiYan-SQL: A Novel Multi-Generator Framework For Text-to-SQL
Yifu Liu, Yin Zhu, Yingqi Gao, Zhiling Luo, Xiaoxia Li, Xiaorong Shi, Yuntao Hong, Jinyang Gao, Yu Li, Bolin Ding, Jingren Zhou
https://arxiv.org/abs/2507.04701

XiYan-SQL: A Novel Multi-Generator Framework For Text-to-SQL
To leverage the advantages of LLM in addressing challenges in the Text-to-SQL task, we present XiYan-SQL, an innovative framework effectively generating and utilizing multiple SQL candidates. It consists of three components: 1) a Schema Filter module filtering and obtaining multiple relevant schemas; 2) a multi-generator ensemble approach generating multiple highquality and diverse SQL queries; 3) a selection model with a candidate reorganization strategy implemented to obtain the optimal SQL q…

Atteignons l'objectif ensemble! 💪 Nous avons déjŠ collecté 4889 €, merci pour votre soutien. Aidons les victimes Š régler leurs frais d'avocats. Votre contribution compte! 🤝 Découvrez comment participer: 👉 https://chardonsbleus.org/cagnotte-en-ligne

🇺🇦 #NowPlaying on BBCRadio3's #NewMusicShow
Sasha Scott & 12 Ensemble:
🎵 Night Owl
#SashaScott #12Ensemble

Le trafic est perturbé sur l'ensemble de la ligne.
Pour plus d'informations sur cette perturbation, consultez le fil X du RER C.
Motif : prolongation des travaux sur le réseau ferroviaire (en gare de Paris Austerlitz).
🤖 10/07 11:53

📢 Il reste "seulement" 3040 € Š collecter ! Ensemble, atteignons notre objectif. Un grand merci Š tous les donateurs-ices pour leurs générosité. Votre soutien est essentiel, n'hésitez pas Š partager notre campagne. #Solidarité #Justice

This https://arxiv.org/abs/2405.04406 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Rényi divergence guarantees for hashing with linear codes
We consider the problem of distilling uniform random bits from an unknown source with a given $p$-entropy using linear hashing. As our main result, we estimate the expected $p$-divergence from the uniform distribution over the ensemble of random linear codes for all integer $p\ge 2$. The proof relies on analyzing how additive noise, determined by a random element of the code from the ensemble, acts on the source distribution. This action leads to the transformation of the source distribution in…

En contribuant Š Chardons Bleus, vous devenez acteur de justice et de résilience. Ensemble, nous pouvons construire un avenir où les victimes retrouvent leur dignité et où les responsables répondent de leurs actes. 🙏
Suivez-nous et partagez notre message https://chardonsbleus.org/cagnotte-en-li…

Faire un don | Association Chardons Bleus
Transparence Le bilan total des dons sera actualisé toutes les deux semaines. Quand vous faites un don hors-ligne par virement bancaire, votre montant de do ...

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes
Neelesh Rampal, Peter B. Gibson, Steven C. Sherwood, Laura E. Queen, Hamish Lewis, Gab Abramowitz
https://arxiv.org/abs/2507.06527

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes
The computational cost of dynamical downscaling limits ensemble sizes in regional downscaling efforts. We present a newly developed generative-AI approach to greatly expand the scope of such downscaling, enabling fine-scale future changes to be characterised including rare extremes that cannot be addressed by traditional approaches. We test this approach for New Zealand, where strong regional effects are anticipated. At fine scales, the forced (predictable) component of precipitation and temper…

🇺🇦 #NowPlaying on BBCRadio3's #NewMusicShow
Alex Paxton & Explore Ensemble:
🎵 Along the Long Orange Light (from Spit Crystal Yeast-rack dripping (a l'orange))
#AlexPaxton #ExploreEnsemble

Hybrid Ensemble of Segmentation-Assisted Classification and GBDT for Skin Cancer Detection with Engineered Metadata and Synthetic Lesions from ISIC 2024 Non-Dermoscopic 3D-TBP Images
Muhammad Zubair Hasan, Fahmida Yasmin Rifat
https://arxiv.org/abs/2506.03420

Hybrid Ensemble of Segmentation-Assisted Classification and GBDT for Skin Cancer Detection with Engineered Metadata and Synthetic Lesions from ISIC 2024 Non-Dermoscopic 3D-TBP Images
Skin cancer is among the most prevalent and life-threatening diseases worldwide, with early detection being critical to patient outcomes. This work presents a hybrid machine and deep learning-based approach for classifying malignant and benign skin lesions using the SLICE-3D dataset from ISIC 2024, which comprises 401,059 cropped lesion images extracted from 3D Total Body Photography (TBP), emulating non-dermoscopic, smartphone-like conditions. Our method combines vision transformers (EVA02) an…

🇺🇦 #NowPlaying on BBCRadio3's #NightTracks
Amy Beach & Ambache Chamber Ensemble:
🎵 Dreaming (4 Sketches Op.15)
#AmyBeach #AmbacheChamberEnsemble

Augmented Physics-Based Li-ion Battery Model via Adaptive Ensemble Sparse Learning and Conformal Prediction
Samuel Filgueira da Silva, Mehmet Fatih Ozkan, Faissal El Idrissi, Marcello Canova
https://arxiv.org/abs/2507.00353

Augmented Physics-Based Li-ion Battery Model via Adaptive Ensemble Sparse Learning and Conformal Prediction
Accurate electrochemical models are essential for the safe and efficient operation of lithium-ion batteries in real-world applications such as electrified vehicles and grid storage. Reduced-order models (ROM) offer a balance between fidelity and computational efficiency but often struggle to capture complex and nonlinear behaviors, such as the dynamics in the cell voltage response under high C-rate conditions. To address these limitations, this study proposes an Adaptive Ensemble Sparse Identif…

Atteignons l'objectif ensemble! 💪 Nous avons déjŠ collecté 9399€, merci pour votre soutien. Aidons les victimes Š régler leurs frais d'avocats. Votre contribution compte! 🤝 Découvrez comment participer: 👉 https://chardonsbleus.org/cagnotte-en-ligne

🇺🇦 #NowPlaying on BBCRadio3's #NewMusicShow
Alex Paxton & Dreammusics Ensemble:
🎵 Kite (from Scrunchy Touch Sweetly to Fall (kite and finger run))
#AlexPaxton #DreammusicsEnsemble

Un grand merci aux 138 donateur-ices généreux qui ont contribué Š notre cagnotte ! Ensemble, nous progressons vers notre but de récolter 12439 €. Votre soutien est inestimable ! 🙏
https://chardonsbleus.org/cagnotte-en-ligne/

🇺🇦 #NowPlaying on BBCRadio3's #NewMusicShow
Alex Paxton & Dreammusics Ensemble:
🎵 Kite (from Scrunchy Touch Sweetly to Fall (kite and finger run))
#AlexPaxton #DreammusicsEnsemble

Rejoignez notre mission en faisant un don chaque mois. Avec 585 personnes donnant €10/mois ou 117 personnes offrant €50/mois, nous atteindrons nos objectifs! Ensemble, amplifions les voix des victimes! Partagez cet appel avec votre entourage. 🙏🏽💙 https://chardonsbleus.org/cagnotte-en-ligne

🇺🇦 #NowPlaying on BBCRadio3's #ThroughTheNight
Claudin de Sermisy & Ensemble Clément Janequin:
🎵 5 Chansons
#ClaudindeSermisy #EnsembleClémentJanequin

🇺🇦 #NowPlaying on BBCRadio3's #NewMusicShow
Thomas Stiegler & Plus-Minus Ensemble:
🎵 Inferner Park 1
#ThomasStiegler #PlusMinusEnsemble

💔 Les survivants d’OKC ont surmonté des défis incroyables. Ensemble, luttons pour leur droit Š la justice. Rejoignez-nous pour mettre fin Š l'impunité. 🙏 👉 https://chardonsbleus.org/

Association Chardons Bleus - Un combat contre la dérive sectaire OKC depuis 27 ans
l'Association Chardons Bleus réunit des victimes-survivants parties civiles dans l'affaire OKC en France après 10 ans de bataille judiciaire en Belgique

🇺🇦 #NowPlaying on BBCRadio3's #NewMusicShow
Thomas Stiegler & Plus-Minus Ensemble:
🎵 Inferner Park 1
#ThomasStiegler #PlusMinusEnsemble

Luttons ensemble pour les droits des enfants et contre les violences sexistes et sexuelles !
Un appel du cœur pour que les violences Š l'encontre des enfants mineurs soient prises au sérieux et deviennent une réelle priorité de nos sociétés.
https://chardonsbleus.…

🇺🇦 #NowPlaying on BBCRadio3's #EssentialClassics
Marlene Cummins & Ensemble Offspring:
🎵 Starting Over
#MarleneCummins #EnsembleOffspring
https://open.spotify.com/track/3FkvoeD0vATjMBFVLS6uzF

Un grand merci aux 214 donateur-ices généreux qui ont contribué Š notre cagnotte ! Ensemble, nous progressons vers notre but de récolter 12439 €. Votre soutien est inestimable ! 🙏
https://chardonsbleus.org/cagnotte-en-ligne/

🌟 Défi de la semaine : atteindre 500 € ! 🌟
Avec seulement 10 € de chacun, on peut y arriver rapidement. Partagez, participez, mobilisez votre entourage. Ensemble, on peut tout accomplir.
🔗 chardonsbleus.org/cagnotte-en-ligne/
Merci du fond du cœur. ❤️

Grandir dans la OKC, ça été quelque chose de différent pour chacun et chacune d'entre nous, mais que ce soit les faits sur l'une ou l'autre génération, les faits sont lŠ, ils n'ont jamais vraiment été jugé dans leur ensemble, ils nous hantent encore, en voici quelques :
1/7

Grandir dans la OKC, ça été quelque chose de différent pour chacun et chacune d'entre nous, mais que ce soit les faits sur l'une ou l'autre génération, les faits sont lŠ, ils n'ont jamais vraiment été jugé dans leur ensemble, ils nous hantent encore, en voici quelques :
1/7

🇺🇦 #NowPlaying on BBCRadio3's #NewMusicShow
Alex Paxton, Ensemble Modern & Vimbayi Kaziboni:
🎵 Don't Leave Me Behind
#AlexPaxton #EnsembleModern #VimbayiKaziboni

Malheureusement, notre cagnotte juridique nécessite encore votre aide. Les victimes que notre association représente ont toujours besoin de vous. Nous avons déjŠ collecté plus de 5134 € grâce Š votre générosité 🙏💙
https://chardonsbleus.org/luttons-ense

🇺🇦 #NowPlaying on BBCRadio3's #RecordReview
Georg Philipp Telemann, Kathleen Kajioka, Ensemble Masques & Olivier Fortin:
🎵 Viola concerto in G major TWV.51:G9 (4th mvt)
#GeorgPhilippTelemann #KathleenKajioka #newRelease 🆕 album
https://open.spotify.com/track/194z2P6rvBaM8rcFgTyZAu

🌍 Le pouvoir d'Internet est immense! Votre contribution peut faire toute la différence dans l'affaire OKC-Spatz. Ensemble, soutenons les victimes pour qu'elles obtiennent enfin justice. ⚖️👉 https://chardonsbleus.org/cagnotte-en-ligne

Nous avons déjŠ collecté 4889 € grâce Š vous ! 💪 Mais nous devons encore atteindre notre objectif : 12 439 € pour soutenir la justice. Ensemble, faisons avancer ce projet. Merci ! 🙏 👉 https://chardonsbleus.org/cagnotte-en-ligne

🎯 L’association Chardons Bleus soutient les victimes de la dérive sectaire nuisible OKC et son pédocriminel déjŠ condamné en sursis Robert Spatz, en finançant leurs avocats via des cagnottes en ligne juridique.
Ensemble, permettons-leur d’aller jusqu’au procès ! 💙 👉 https://chardonsbleus.org/dons

Malheureusement, notre cagnotte juridique nécessite encore votre aide. Les victimes que notre association représente ont toujours besoin de vous. Nous avons déjŠ collecté plus de 5134 € grâce Š votre générosité 🙏💙
https://chardonsbleus.org/luttons-ense

Rejoignez notre mission en faisant un don chaque mois. Avec 585 personnes donnant €10/mois ou 117 personnes offrant €50/mois, nous atteindrons nos objectifs! Ensemble, amplifions les voix des victimes! Partagez cet appel avec votre entourage. 🙏🏽💙 https://chardonsbleus.org/cagnotte-en-ligne

Plus de 4889€ collectés ! 🚀 Objectif : 12 439 €. Ensemble, soutenons la justice et les victimes. Chaque don compte pour atteindre notre but. Merci pour votre engagement ! 💙🌟
👉 https://chardonsbleus.org/cagnotte-en-ligne

🌍 Le pouvoir d'Internet est incroyable! Votre contribution peut faire toute la différence dans l'affaire OKC-Spatz. Ensemble, soutenons les victimes pour qu'elles obtiennent enfin justice. 💼👉 https://chardonsbleus.org/cagnotte-en-ligne

💔 Les survivants d’OKC ont surmonté des défis incroyables. Ensemble, luttons pour leur droit Š la justice. Rejoignez-nous pour mettre fin Š l'impunité. 🙏 👉 https://chardonsbleus.org/

Association Chardons Bleus - Un combat contre la dérive sectaire OKC depuis 27 ans
l'Association Chardons Bleus réunit des victimes-survivants parties civiles dans l'affaire OKC en France après 10 ans de bataille judiciaire en Belgique

Un grand merci aux 138 donateur-ices généreux qui ont contribué Š notre cagnotte ! Ensemble, nous progressons vers notre but de récolter 12439 €. Votre soutien est inestimable ! 🙏
https://chardonsbleus.org/cagnotte-en-ligne/

🎯 L’association Chardons Bleus soutient les victimes de dérives sectaires en finançant leurs avocats via des cagnottes en ligne. Ensemble, permettons-leur d’aller jusqu’au procès ! 💙 👉 https://chardonsbleus.org/dons

Atteignons l'objectif ensemble! 💪 Nous avons déjŠ collecté 4889 €, merci pour votre soutien. Aidons les victimes Š régler leurs frais d'avocats. Votre contribution compte! 🤝 Découvrez comment participer: 👉 https://chardonsbleus.org/cagnotte-en-ligne