Tootfinder

North Carolina Senate Approves New Map in Effort to Add G.O.P. Congressional Seat (Eduardo Medina/New York Times)
https://www.nytimes.com/2025/10/21/us/north-carolina-congressional-map-republicans.html
http://www.memeorandum.com/251022/p3#a251022p3

Revealing Electron-Ytterbium Interactions through Rydberg Molecular Spectroscopy
Tangi Legrand, Xin Wang, Milena Simi\'c, Florian Pausewang, Wolfgang Alt, Eduardo Uru\~nuela, Matthew T. Eiles, Sebastian Hofferberth
https://arxiv.org/abs/2512.20609

@… mira lo que encontré :neocat_3c:

A Comprehensive Survey on Smart Home IoT Fingerprinting: From Detection to Prevention and Practical Deployment
Eduardo Baena, Han Yang, Dimitrios Koutsonikolas, Israat Haque
https://arxiv.org/abs/2510.09700

A Comprehensive Survey on Smart Home IoT Fingerprinting: From Detection to Prevention and Practical Deployment
Smart homes are increasingly populated with heterogeneous Internet of Things (IoT) devices that interact continuously with users and the environment. This diversity introduces critical challenges in device identification, authentication, and security, where fingerprinting techniques have emerged as a key approach. In this survey, we provide a comprehensive analysis of IoT fingerprinting specifically in the context of smart homes, examining methods for device and their event detection, classific…

Curriculum Imitation Learning of Distributed Multi-Robot Policies
Jes\'us Roche, Eduardo Sebasti\'an, Eduardo Montijano
https://arxiv.org/abs/2509.25097 https://

Curriculum Imitation Learning of Distributed Multi-Robot Policies
Learning control policies for multi-robot systems (MRS) remains a major challenge due to long-term coordination and the difficulty of obtaining realistic training data. In this work, we address both limitations within an imitation learning framework. First, we shift the typical role of Curriculum Learning in MRS, from scalability with the number of robots, to focus on improving long-term coordination. We propose a curriculum strategy that gradually increases the length of expert trajectories du…

Continuous Linear Series
Eduardo Esteves, Antonio Nigro, Pedro Rizzo
https://arxiv.org/abs/2510.11623 https://arxiv.org/pdf/2510.11623

Continuous Linear Series
We parameterize by a fine moduli space all degenerations of linear series to a singular curve which is the union of two smooth components meeting transversally at a single point. For this we introduce a novel object in the study of degenerations of linear series, which is the continuous linear series. Our moduli space can be regarded as a Hilbert quotient, in the terminology introduced by Kapranov, and is a new compactification of Osserman moduli space of exact limit linear series, and conseque…

North Carolina Republicans Plan to Redraw Congressional Map to Add a Seat (Eduardo Medina/New York Times)
https://www.nytimes.com/2025/10/13/us/north-carolina-republicans-redistricting.html
http://www.memeorandum.com/251014/p3#a251014p3

🇺🇦 #NowPlaying on #BBC6Music's #CerysMatthews
Eduardo Paim:
🎵 Som Da Banda
#EduardoPaim
https://open.spotify.com/track/12rwkYtcVC5JaUHar21wGt

🇺🇦 #NowPlaying on BBCRadio3's #ThroughTheNight
George Frideric Handel, Matthew White, Arte dei Suonatori & Eduardo López Banzo:
🎵 "Where'er you walk" Jupiter's air from Act II, Scene 3 of the opera "Semele"
https://open.spotify.com/track/1gHLTTCyREBP73aybDQucQ

ModernBERT ColBERT: Enhancing biomedical RAG through an advanced re-ranking retriever
Eduardo Mart\'inez Rivera, Filippo Menolascina
https://arxiv.org/abs/2510.04757 https…

ModernBERT + ColBERT: Enhancing biomedical RAG through an advanced re-ranking retriever
Retrieval-Augmented Generation (RAG) is a powerful technique for enriching Large Language Models (LLMs) with external knowledge, allowing for factually grounded responses, a critical requirement in high-stakes domains such as healthcare. However, the efficacy of RAG systems is fundamentally restricted by the performance of their retrieval module, since irrelevant or semantically misaligned documents directly compromise the accuracy of the final generated response. General-purpose dense retrieve…

A Systematic Evaluation of Self-Supervised Learning for Label-Efficient Sleep Staging with Wearable EEG
Emilio Estevan, Mar\'ia Sierra-Torralba, Eduardo L\'opez-Larraz, Luis Montesano
https://arxiv.org/abs/2510.07960

A Systematic Evaluation of Self-Supervised Learning for Label-Efficient Sleep Staging with Wearable EEG
Wearable EEG devices have emerged as a promising alternative to polysomnography (PSG). As affordable and scalable solutions, their widespread adoption results in the collection of massive volumes of unlabeled data that cannot be analyzed by clinicians at scale. Meanwhile, the recent success of deep learning for sleep scoring has relied on large annotated datasets. Self-supervised learning (SSL) offers an opportunity to bridge this gap, leveraging unlabeled signals to address label scarcity and …

Visible Light Communication for Vehicular Networks: A Tutorial
Pedro E. G\'oria Silva, Eduardo S. Lima, Jules M. Moualeu, Mohamed Korium, Pedro H. J. Nardelli
https://arxiv.org/abs/2510.11123

Visible Light Communication for Vehicular Networks: A Tutorial
The advent of the fifth-generation technology promises to bring about more vertical applications and emerging services that include vehicular networks and intelligent transportation systems (ITSs). To achieve their vision of real-time and safetyapplications, vehicular networks rely on short-range to medium-range communications. One emerging technology that aims to provide reliability and high-data rate in short-range communications is the visible light communications (VLC). Due to its remarkabl…

Computing Wasserstein Barycenters through Gradient Flows
Eduardo Fernandes Montesuma, Yassir Bendou, Mike Gartrell
https://arxiv.org/abs/2510.04602 https://

Computing Wasserstein Barycenters through Gradient Flows
Wasserstein barycenters provide a powerful tool for aggregating probability measures, while leveraging the geometry of their ambient space. Existing discrete methods suffer from poor scalability, as they require access to the complete set of samples from input measures. We address this issue by recasting the original barycenter problem as a gradient flow in the Wasserstein space. Our approach offers two advantages. First, we achieve scalability by sampling mini-batches from the input measures. …

On orientations preserving edge-connectivity in infinite graphs
Leandro Aurichi, Paulo Magalh\~aes J\'unior, Guilherme Eduardo Pinto
https://arxiv.org/abs/2510.06449 https:/…

On orientations preserving edge-connectivity in infinite graphs
We prove that every 2k-edge-connected graph with countably many edge-ends admits a k-arc-connected orientation, extending the previous result by Assem, Koloschin and Pitz that also assumed the hypothesis of the graph being locally finite. We prove that, if every locally finite graph has a well-balanced orientation, so does every graph. Lastly, we explore an alternative to the Nash-Williams Orientation Conjecture via topological paths, and prove that it is true for every finitely separated graph.

Uncertainty-Aware Concept Bottleneck Models with Enhanced Interpretability
Haifei Zhang, Patrick Barry, Eduardo Brandao
https://arxiv.org/abs/2510.00773 https://

Uncertainty-Aware Concept Bottleneck Models with Enhanced Interpretability
In the context of image classification, Concept Bottleneck Models (CBMs) first embed images into a set of human-understandable concepts, followed by an intrinsically interpretable classifier that predicts labels based on these intermediate representations. While CBMs offer a semantically meaningful and interpretable classification pipeline, they often sacrifice predictive performance compared to end-to-end convolutional neural networks. Moreover, the propagation of uncertainty from concept pred…

Refactoring Towards Microservices: Preparing the Ground for Service Extraction
Rita Peixoto, Filipe F. Correia, Thatiane Rosa, Eduardo Guerra, Alfredo Goldman
https://arxiv.org/abs/2510.03050

Refactoring Towards Microservices: Preparing the Ground for Service Extraction
As organizations increasingly transition from monolithic systems to microservices, they aim to achieve higher availability, automatic scaling, simplified infrastructure management, enhanced collaboration, and streamlined deployments. However, this migration process remains largely manual and labour-intensive. While existing literature offers various strategies for decomposing monoliths, these approaches primarily focus on architecture-level guidance, often overlooking the code-level challenges …

Density estimation for compositional data using nonparametric mixtures
Jiajin Xie, Yong Wang, Eduardo Garc\'ia-Portugu\'es
https://arxiv.org/abs/2510.07608 https://

Density estimation for compositional data using nonparametric mixtures
Compositional data, representing proportions constrained to the simplex, arise in diverse fields such as geosciences, ecology, genomics, and microbiome research. Existing nonparametric density estimation methods often rely on transformations, which may induce substantial bias near the simplex boundary. We propose a nonparametric mixture-based framework for density estimation on compositions. Nonparametric Dirichlet mixtures are employed to naturally accommodate boundary values, thereby avoiding…

Quaternionic families of Heegner points and $p$-adic $L$-functions
Matteo Longo, Paola Magrone, Eduardo Rocha Walchek
https://arxiv.org/abs/2510.04306 https://

Quaternionic families of Heegner points and $p$-adic $L$-functions
Following up a previous article of the authors which studies the interpolation of certain anticyclotomic $p$-adic $L$-functions associated to quaternionic modular forms in a Hida family, we extend the work of F. Castella on the interpolation and specialization of big Heegner points to the quaternionic setting. We prove an explicit reciprocity law relating the big $p$-adic $L$-function to the big Heegner points in this quaternionic setting.

Disk fraction among free-floating planetary-mass objects in Upper Scorpius
Tommy Rodrigues, Herv\'e Bouy, Sean N. Raymond, Eduardo L. Mart\'in, Emmanuel Bertin, Javier Olivares, David Barrado, N\'uria Hu\'elamo, Motohide Tamura, N\'uria Miret Roig, Phillip A. B. Galli, Jean-Charles Cuillandre
https://arxiv.org/abs/2510.…

From Keywords to Clusters: AI-Driven Analysis of YouTube Comments to Reveal Election Issue Salience in 2024
Raisa M. Simoes, Timoteo Kelly, Eduardo J. Simoes, Praveen Rao
https://arxiv.org/abs/2510.07821

From Keywords to Clusters: AI-Driven Analysis of YouTube Comments to Reveal Election Issue Salience in 2024
This paper aims to explore two competing data science methodologies to attempt answering the question, "Which issues contributed most to voters' choice in the 2024 presidential election?" The methodologies involve novel empirical evidence driven by artificial intelligence (AI) techniques. By using two distinct methods based on natural language processing and clustering analysis to mine over eight thousand user comments on election-related YouTube videos from one right leaning journal, Wall Stre…

Replaced article(s) found for math.SG. https://arxiv.org/list/math.SG/new
[1/1]:
- Non-decomposable Lagrangian cobordisms between Legendrian knots
Roman Golovko, Daniel Kom\'arek
https://arxiv.org/abs/2511.08731 https://mastoxiv.page/@arXiv_mathSG_bot/115541377678336506
- Spaces of Legendrian cables and Seifert fibered links
Eduardo Fern\'andez, Hyunki Min
https://arxiv.org/abs/2310.12385 https://mastoxiv.page/@arXiv_mathGT_bot/111265563434686287
- Almost Hermitian structures on virtual moduli spaces of non-Abelian monopoles and applications to...
Paul M. N. Feehan, Thomas G. Leness
https://arxiv.org/abs/2410.13809 https://mastoxiv.page/@arXiv_mathDG_bot/113327305560976416
- Quantum cohomology, shift operators, and Coulomb branches
Ki Fung Chan, Kwokwai Chan, Chin Hang Eddie Lam
https://arxiv.org/abs/2505.23340 https://mastoxiv.page/@arXiv_mathAG_bot/114595582234065991
- One application of Duistermaat-Heckman measure in quantum information theory
Lin Zhang, Xiaohan Jiang, Bing Xie
https://arxiv.org/abs/2507.02369 https://mastoxiv.page/@arXiv_quantph_bot/114794376818737255
toXiv_bot_toot

Analytic spread of binomial edge ideals
Eduardo Camps-Moreno, Deblina Dey, Souvik Dey, Tai Huy Ha, Stephen Landsittel, Benjamin Oltsik, Shahriyar Roshan Zamir, Adam Van Tuyl
https://arxiv.org/abs/2510.05915

Analytic spread of binomial edge ideals
We investigate the analytic spread of binomial edge ideals of finite simple graphs. We provide tight bounds for this invariant in general. For special families of graphs (e.g., closed graphs, pseudo-forests), we compute the exact value for the analytic spread of the corresponding binomial edge ideals via combinatorial and convex geometric means.

Replaced article(s) found for quant-ph. https://arxiv.org/list/quant-ph/new
[3/3]:
- Recovering Einstein's equation from local correlations with quantum reference frames
Eduardo O. Dias

Crosslisted article(s) found for math.OC. https://arxiv.org/list/math.OC/new
[1/1]:
- Optimal control of Volterra integral diffusions and application to contract theory
Dylan Possama\"i, Mehdi Talbi
https://arxiv.org/abs/2511.09701 https://mastoxiv.page/@arXiv_mathPR_bot/115547093766733637
- 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
- Sample Complexity of Quadratically Regularized Optimal Transport
Alberto Gonz\'alez-Sanz, Eustasio del Barrio, Marcel Nutz
https://arxiv.org/abs/2511.09807 https://mastoxiv.page/@arXiv_mathST_bot/115546975796760368
- On the Convergence of Overparameterized Problems: Inherent Properties of the Compositional Struct...
Arthur Castello Branco de Oliveira, Dhruv Jatkar, Eduardo Sontag
https://arxiv.org/abs/2511.09810 https://mastoxiv.page/@arXiv_csLG_bot/115547543989283588
- Implicit Multiple Tensor Decomposition
Kunjing Yang, Libin Zheng, Minru Bai
https://arxiv.org/abs/2511.09916 https://mastoxiv.page/@arXiv_mathNA_bot/115547169767663335
- Theoretical Analysis of Resource-Induced Phase Transitions in Estimation Strategies
Takehiro Tottori, Tetsuya J. Kobayashi
https://arxiv.org/abs/2511.10184 https://mastoxiv.page/@arXiv_physicsbioph_bot/115546979073652600
- Zeroes and Extrema of Functions via Random Measures
Athanasios Christou Micheas
https://arxiv.org/abs/2511.10293 https://mastoxiv.page/@arXiv_statME_bot/115547493525198835
- Operator Models for Continuous-Time Offline Reinforcement Learning
Nicolas Hoischen, Petar Bevanda, Max Beier, Stefan Sosnowski, Boris Houska, Sandra Hirche
https://arxiv.org/abs/2511.10383 https://mastoxiv.page/@arXiv_statML_bot/115547254989932993
- On topological properties of closed attractors
Wouter Jongeneel
https://arxiv.org/abs/2511.10429 https://mastoxiv.page/@arXiv_mathDS_bot/115547276594491411
- Learning parameter-dependent shear viscosity from data, with application to sea and land ice
Gonzalo G. de Diego, Georg Stadler
https://arxiv.org/abs/2511.10452 https://mastoxiv.page/@arXiv_mathNA_bot/115547323782478749
- Formal Verification of Control Lyapunov-Barrier Functions for Safe Stabilization with Bounded Con...
Jun Liu
https://arxiv.org/abs/2511.10510 https://mastoxiv.page/@arXiv_eessSY_bot/115547429321496393
- Direction-of-Arrival and Noise Covariance Matrix joint estimation for beamforming
Vitor Gelsleichter Probst Curtarelli
https://arxiv.org/abs/2511.10639 https://mastoxiv.page/@arXiv_eessAS_bot/115547188796143762
toXiv_bot_toot

Replaced article(s) found for hep-ph. https://arxiv.org/list/hep-ph/new
[1/1]:
- Axionless strong CP problem solution: the spontaneous CP violation case
Rodolfo Ferro-Hernandez, Stefano Morisi, Eduardo Peinado

Assessment of tabulated-chemistry models for lean premixed strained hydrogen flames with low-dimensional manifolds
Alessandro Porcarelli, Pasquale Eduardo Lapenna, Francesco Creta, Ivan Langella
https://arxiv.org/abs/2510.03324

Assessment of tabulated-chemistry models for lean premixed strained hydrogen flames with low-dimensional manifolds
This study presents a comprehensive a priori analysis of tabulated-chemistry models for both laminar and turbulent lean premixed hydrogen flames in strained counterflow configuration. Particular focus is drawn on differential and preferential diffusion effects and the synergistic interaction of thermodiffusive instabilities and turbulence that existing models struggle to capture. Through detailed assessment of various modelling approaches at unfiltered and filtered grids, we identify significan…

Data Quality Taxonomy for Data Monetization
Eduardo Vyhmeister, Bastien Pietropoli, Andrea Visentin
https://arxiv.org/abs/2510.00089 https://arxiv.org/pdf/…

Data Quality Taxonomy for Data Monetization
This chapter presents a comprehensive taxonomy for assessing data quality in the context of data monetisation, developed through a systematic literature review. Organising over one hundred metrics and Key Performance Indicators (KPIs) into four subclusters (Fundamental, Contextual, Resolution, and Specialised) within the Balanced Scorecard (BSC) framework, the taxonomy integrates both universal and domain-specific quality dimensions. By positioning data quality as a strategic connector across t…

High energy gamma-ray sources in the VVV survey - III. Spectroscopic confirmation of an AGN at low Galactic latitudes
Eduardo O. Schmidt, Laura D. Baravalle, Ana Pichel, Dami\'an Mast, Mar\'ia Victoria Alonso, Jorge D\'iaz Tello, Luciano H. Garc\'ia, Valentin D. Ivanov, Dante Minniti, Nicola Masetti, Laura G. Donoso, Rodrigo Zelada Bacigalupo
ht…

High energy gamma-ray sources in the VVV survey - III. Spectroscopic confirmation of an AGN at low Galactic latitudes
We aim to spectroscopically confirm the nature of VVV-J181258.71-314346.7, a candidate counterpart to the unassociated gamma-ray source 4FGLJ1812.8-3144. This object was selected based on its near-infrared photometric properties and moderate variability, as part of a broader effort to identify active galactic nuclei (AGN) behind the Galactic bulge and disc. We obtained near-infrared spectra using the Flamingos-2 instrument at Gemini South, covering the $1.1 $--$ 1.8~μ$m range with a spectral r…

Patch-Based Diffusion for Data-Efficient, Radiologist-Preferred MRI Reconstruction
Rohan Sanda, Asad Aali, Andrew Johnston, Eduardo Reis, Jonathan Singh, Gordon Wetzstein, Sara Fridovich-Keil
https://arxiv.org/abs/2509.21531

Patch-Based Diffusion for Data-Efficient, Radiologist-Preferred MRI Reconstruction
Magnetic resonance imaging (MRI) requires long acquisition times, raising costs, reducing accessibility, and making scans more susceptible to motion artifacts. Diffusion probabilistic models that learn data-driven priors can potentially assist in reducing acquisition time. However, they typically require large training datasets that can be prohibitively expensive to collect. Patch-based diffusion models have shown promise in learning effective data-driven priors over small real-valued datasets,…

Optical Design Pathways to Fluidic Space-Assembled Reflectors & Dual-Configuration Spectrographs for Characterizing Exo-Earths
Enrico Biancalani, Edward Balaban, Ruslan Belikov, Eduardo Bendek, Valeri Frumkin, Israel Gabay, Guangjun Gao, Qian Gong, Christine Gregg, Tyler Groff, Joseph Howard, Omer Luria, Michael McElwain, Lee Mundy, Rachel Ticknor, Sylvain Veilleux, Neil Zimmerman

Optical Design Pathways to Fluidic Space-Assembled Reflectors & Dual-Configuration Spectrographs for Characterizing Exo-Earths
$\textbf{Fluidic Telescopes}$ | We present a conceptual framework for optically designing space-assembled telescopes whose primary mirror is formed $\textit{in situ}$ via the enabling, scale-invariant technology of fluidic shaping. In-space assembly of optical reflectors can solve light-gathering aperture scaling, which currently limits space-borne optical telescopes. Our compass reduces the top-level optical design trade to three types of avenues -- a fluidic pathway, a legacy one buildin…

Ground state and excitations of quasiperiodic 1D narrow-band moir\'e systems: a mean field approach
Nicolau Sobrosa, Miguel Gon\c{c}alves, Bruno Amorim, Eduardo V. Castro, Pedro Ribeiro
https://arxiv.org/abs/2510.04132

Ground state and excitations of quasiperiodic 1D narrow-band moiré systems: a mean field approach
We demonstrate that a mean field approximation can be confidently employed in quasiperiodic moiré systems to treat interactions and quasiperiodicity on equal footing. We obtain the mean field phase diagram for an illustrative one-dimensional moiré system that exhibits narrow bands and a regime with non-interacting multifractal critical states. By systematically comparing our findings with existing exact results, we identify the regimes where the mean field approximation provides an accurate d…

Small-Covariance Noise-to-State Stability of Stochastic Systems and Its Applications to Stochastic Gradient Dynamics
Leilei Cui, Zhong-Ping Jiang, Eduardo D. Sontag
https://arxiv.org/abs/2509.24277

Small-Covariance Noise-to-State Stability of Stochastic Systems and Its Applications to Stochastic Gradient Dynamics
This paper studies gradient dynamics subject to additive random noise, which may arise from sources such as stochastic gradient estimation, measurement noise, or stochastic sampling errors. To analyze the robustness of such stochastic gradient systems, the concept of small-covariance noise-to-state stability (NSS) is introduced, along with a Lyapunov-based characterization. Furthermore, the classical Polyak-Lojasiewicz (PL) condition on the objective function is generalized to the $\mathcal{K}$…

Future of Brain Health: From Developmental Insights to Clinical Translation
Mariela Chertoff, Martin G Frasch, Eduardo T C\'anepa, Gerlinde A. S. Metz, Marta Cristina Antonelli, Sheehan D. Fisher, Bea R. H. Van den Bergh
https://arxiv.org/abs/2509.21332

Future of Brain Health: From Developmental Insights to Clinical Translation
This review highlights brain health as a dynamic process shaped by both genetic and environmental influences throughout development. Critical periods provide unique windows of heightened neural plasticity, during which genetic-environmental interactions and parental influences profoundly impact brain maturation. Frameworks such as DOHaD, ACEs, and neurosocial plasticity elucidate how early-life experiences modulate long-term cognitive and emotional outcomes. Brain health science is emerging as …

Replaced article(s) found for cs.CG. https://arxiv.org/list/cs.CG/new
[1/1]:
- Gromov's Approximating Tree and the All-Pairs Bottleneck Paths Problem
Anders Cornect, Eduardo Mart\'inez-Pedroza

Characterizing 5G User Throughput via Uncertainty Modeling and Crowdsourced Measurements
Javier Albert-Smet, Zoraida Frias, Luis Mendo, Sergio Melones, Eduardo Yraola
https://arxiv.org/abs/2510.09239

Characterizing 5G User Throughput via Uncertainty Modeling and Crowdsourced Measurements
Characterizing application-layer user throughput in next-generation networks is increasingly challenging as the higher capacity of the 5G Radio Access Network (RAN) shifts connectivity bottlenecks towards deeper parts of the network. Traditional methods, such as drive tests and operator equipment counters, are costly, limited, or fail to capture end-to-end (E2E) Quality of Service (QoS) and its variability. In this work, we leverage large-scale crowdsourced measurements-including E2E, radio, co…

Replaced article(s) found for math.HO. https://arxiv.org/list/math.HO/new
[1/1]:
- The strange story of an almost unknown prime number counter: The Rafael Barrett formula
Eduardo Mizraji

Replaced article(s) found for math.GM. https://arxiv.org/list/math.GM/new
[1/1]:
- Evolution on Sets
Eduardo Santana
https://arxiv.org/abs…

Replaced article(s) found for cs.DM. https://arxiv.org/list/cs.DM/new
[1/1]:
- Gromov's Approximating Tree and the All-Pairs Bottleneck Paths Problem
Anders Cornect, Eduardo Mart\'inez-Pedroza

Out-of-bag prediction balls for random forests in metric spaces
Diego Serrano, Eduardo Garc\'ia-Portugu\'es
https://arxiv.org/abs/2510.04299 https://

Out-of-bag prediction balls for random forests in metric spaces
Statistical methods for metric spaces provide a general and versatile framework for analyzing complex data types. We introduce a novel approach for constructing confidence regions around new predictions from any bagged regression algorithm with metric-space-valued responses. This includes the recent extensions of random forests for metric responses: Fréchet random forests (Capitaine et al., 2024), random forest weighted local constant Fréchet regression (Qiu et al., 2024), and metric random f…

Prompting Robot Teams with Natural Language
Nicolas Pfitzer, Eduardo Sebasti\'an, Ajay Shankar, Amanda Prorok
https://arxiv.org/abs/2509.24575 https://…

Prompting Robot Teams with Natural Language
This paper presents a framework towards prompting multi-robot teams with high-level tasks using natural language expressions. Our objective is to use the reasoning capabilities demonstrated by recent language models in understanding and decomposing human expressions of intent, and repurpose these for multi-robot collaboration and decision-making. The key challenge is that an individual's behavior in a collective can be hard to specify and interpret, and must continuously adapt to actions from o…

Disk fraction among free-floating planetary-mass objects in Upper Scorpius
Tommy Rodrigues, Herv\'e Bouy, Sean N. Raymond, Eduardo L. Mart\'in, Emmanuel Bertin, Javier Olivares, David Barrado, N\'uria Hu\'elamo, Motohide Tamura, N\'uria Miret Roig, Phillip A. B. Galli, Jean-Charles Cuillandre
https://arxiv.org/abs/2510.…

Disk fraction among free-floating planetary-mass objects in Upper Scorpius
Free-floating planetary-mass objects (FFPs) have been detected through direct imaging within several young, nearby star-forming regions. The properties of circumstellar disks around these objects may provide a valuable probe into their origin, but is currently limited by the small sizes of the sample explored. We aim to perform a statistical study of the occurrence of circumstellar disks down to the planetary-mass regime. We performed a systematic survey of disks among the population identified…

Crosslisted article(s) found for cond-mat.dis-nn. https://arxiv.org/list/cond-mat.dis-nn/new
[1/1]:
- Ground state and excitations of quasiperiodic 1D narrow-band moir\'e systems: a mean field approach
Nicolau Sobrosa, Miguel Gon\c{c}alves, Bruno Amorim, Eduardo V. Cas…

A Sensitivity-Based Method for Bilevel Optimization Problems: Theoretical Analysis and Computational Performance
Eduardo Nolasco, Ross D. King, Vassilios S. Vassiliadis
https://arxiv.org/abs/2510.01487

A Sensitivity-Based Method for Bilevel Optimization Problems: Theoretical Analysis and Computational Performance
Bilevel optimization provides a powerful framework for modeling hierarchical decision-making systems. This work presents a novel sensitivity-based algorithm that directly addresses the bilevel structure by treating the lower-level optimal solution as an implicit function of the upper-level variables, thus avoiding classical single-level reformulations. This implicit problem is solved within a robust Augmented Lagrangian framework, where the inner subproblems are managed by a quasi-Newton (L-BFG…

Replaced article(s) found for math.CO. https://arxiv.org/list/math.CO/new
[2/2]:
- Gromov's Approximating Tree and the All-Pairs Bottleneck Paths Problem
Anders Cornect, Eduardo Mart\'inez-Pedroza

Left-lateralized reduced white matter structural connectivity in young women with obesity: analysis of graph theory applied to inter-tract correlation matrices
Jos\'e Gerardo Su\'arez-Garc\'ia, Eduardo Moreno-Barbosa, Javier M. Hern\'andez-L\'opez, Jorge Vel\'azquez-Castro, Benito de Celis-Alonso
https://arxiv.org/a…

Left-lateralized reduced white matter structural connectivity in young women with obesity: analysis of graph theory applied to inter-tract correlation matrices
Objective: Differences in WM structural connectivity were sought by comparing graph measures from young women with normal weight ($D_\mathrm{norm}$) and obesity ($D_\mathrm{over}$), studying FA-based inter-tract correlation matrices. Methods: Undirected binary adjacency matrices were created from WM inter-tract correlation matrices. Sixteen global graph measures were compared between the $D_\mathrm{norm}$ and $D_\mathrm{over}$ groups. At the nodal level, four graph measures were compared. Opt…

Signatures of dark subhalos in dwarf spheroidal galaxies: I. Fluctuations in surface density
Eduardo Vitral, Jorge Pe\~narrubia, Matthew G. Walker
https://arxiv.org/abs/2509.26056

Signatures of dark subhalos in dwarf spheroidal galaxies: I. Fluctuations in surface density
Dark matter (DM) subhalos offer critical tests of cosmological models through their abundance and properties, yet most remain undetectable due to their lack of stars. We investigate whether their presence leaves measurable imprints on the projected stellar density fields of dwarf spheroidal galaxies (dSphs). Building on literature $N$-body experiments, we show that subhalo interactions induce subtle out-of-equilibrium fluctuations appearing as density corrugations. In a CDM framework, these flu…

CineWild: Balancing Art and Robotics for Ethical Wildlife Documentary Filmmaking
Pablo Pueyo, Fernando Caballero, Ana Cristina Murillo, Eduardo Montijano
https://arxiv.org/abs/2509.24921

CineWild: Balancing Art and Robotics for Ethical Wildlife Documentary Filmmaking
Drones, or unmanned aerial vehicles (UAVs), have become powerful tools across domains-from industry to the arts. In documentary filmmaking, they offer dynamic, otherwise unreachable perspectives, transforming how stories are told. Wildlife documentaries especially benefit, yet drones also raise ethical concerns: the risk of disturbing the animals they aim to capture. This paper introduces CineWild, an autonomous UAV framework that combines robotics, cinematography, and ethics. Built on model pr…

A transmission hologram for slitless spectrophotometry on a convergent telescope beam. Optimisation and characterization
Sylvie Dagoret-Campagne, Marc Moniez, Jeremy Neveu, Aurelien Blot, Pierre Antilogus, Claire Juramy, Leurent Le Guillou, Philippe Repain, Eduardo Sepulveda, Christophe Michel, Francois Colas
https://arxiv.org/abs/2509.255…

A transmission hologram for slitless spectrophotometry on a convergent telescope beam. Optimisation and characterization
This article details the optimisation and the characterisation of the hologram described in a companion paper published in 2021, which showed the superiority of a holographic optical element over a periodic grating as a disperser installed in the path of a converging beam on an on-axis detector (unbent spectrograph) for slitless spectroscopy. In this article, we describe in detail the development and optimisation of the final optical holographic element installed on the spectrograph of the auxi…

On the (almost) Global Exponential Convergence of the Overparameterized Policy Optimization for the LQR Problem
Moh Kamalul Wafi, Arthur Castello B. de Oliveira, Eduardo D. Sontag
https://arxiv.org/abs/2510.02140

On the (almost) Global Exponential Convergence of the Overparameterized Policy Optimization for the LQR Problem
In this work we study the convergence of gradient methods for nonconvex optimization problems -- specifically the effect of the problem formulation to the convergence behavior of the solution of a gradient flow. We show through a simple example that, surprisingly, the gradient flow solution can be exponentially or asymptotically convergent, depending on how the problem is formulated. We then deepen the analysis and show that a policy optimization strategy for the continuous-time linear quadrati…

Dynamic Adaptive Federated Learning for mmWave Sector Selection
Lucas Pacheco, Torsten Braun, Kaushik Chowdhury, Denis Ros\'ario, Batool Salehi, Eduardo Cerqueira
https://arxiv.org/abs/2510.04183

Dynamic Adaptive Federated Learning for mmWave Sector Selection
Beamforming techniques use massive antenna arrays to formulate narrow Line-of-Sight signal sectors to address the increased signal attenuation in millimeter Wave (mmWave). However, traditional sector selection schemes involve extensive searches for the highest signal-strength sector, introducing extra latency and communication overhead. This paper introduces a dynamic layer-wise and clustering-based federated learning (FL) algorithm for beam sector selection in autonomous vehicle networks calle…

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Domenico Scarlatti & Eduardo López Banzo:
🎵 Sonata in D minor: Fugue K.41; Presto K.18
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A permanent-magnet Zeeman slower and magneto-optical trap for calcium atoms for ultracold Rydberg physics
Eduardo Marin-Bujedo, Julien A. L. Grondin, Thomas Schiltz, Thomas Corbo, Xavier Urbain, Matthieu G\'en\'evriez
https://arxiv.org/abs/2511.23245

Feeding frenzy in the mighty black holes: what we could learn from them?
Swayamtrupta Panda, Hygor Benati Gon\c{c}alves, Thaisa Storchi-Bergmann, Marzena \'Sniegowska, Bo\.zena Czerny, Edi Bon, Paola Marziani, Nata\v{s}a Bon, Alberto Rodr\'iguez Ardila, Daniel May, Marcos Fonseca Far\'ia, Luciano Fraga, Francisco Pozo Nu\~nez, Eduardo Ba\~nados, Jochen Heidt, Karla Garnica, Deborah Dultzin

Feeding frenzy in the mighty black holes: what we could learn from them?
Eddington ratio is a paramount parameter governing the accretion history and life cycles of Active Galactic Nuclei (AGNs). This short review presents a multi-faceted view of the importance of the Eddington ratio spanning varied AGN studies. We find that the Eddington ratio is crucial for standardizing the Radius-Luminosity (R-L) relation - a necessary step for employing quasars (QSOs) as standardizable cosmological probes to help clarify the standing of the Hubble tension. In this data-driven e…

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Eduardo Sainz de la Maza & Steve Kostelnik:
🎵 Campanas del Alba
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Santiago de Murcia & Eduardo Egüez:
🎵 Mariona por la B
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https://open.spotify.com/track/5EffoHVhrIn32z1SpdK78H

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Gustav Mahler, Ulster Orchestra & Eduardo Strausser:
🎵 Symphony No.1 'Titan'
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George Frideric Handel, Matthew White, Arte dei Suonatori & Eduardo López Banzo:
🎵 "Si l'infida consorte" & "Confusa si miri"
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José de Nebra, Eduardo López Banzo, María Espada & Al Ayre Español:
🎵 Llegad, llegad, creyentes, cantata
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