Tootfinder

🇺🇦 #NowPlaying on BBCRadio3's #SaturdayMorning
Giovanni Battista Pergolesi, Anna Prohaska, Bernarda Fink, Berlin Academy for Early Music & Bernhard Forck:
🎵 Stabat mater dolorosa (Stabat mater in F minor)
https://open.spotify.com/track/7LcypCVM2DeybABIv1Ydaa

🔊 #NowPlaying on #BBCRadio3:
#ThisClassicalLife
- Jess Gillam with... Nil Venditti
Jess Gillam swaps favourite music with the Italian-Turkish conductor Nil Venditti, including tracks by Puccini, Giovanni Sollima, Lankum and Melody Gardot.
Relisten now 👇
https://www.bbc.co.uk/programmes/m002mc12

🇺🇦 #NowPlaying on BBCRadio3's #Radio3InConcert
Giovanni Sollima, Giovanni Sollima & Arianna Art Ensemble:
🎵 Il mandataro (after Costanzi)
#GiovanniSollima #AriannaArtEnsemble
https://open.spotify.com/track/52HTej7mlLuo9T76TLBfqk

Data-Driven Deployment of Reconfigurable Intelligent Surfaces in Cellular Networks
Sina Beyraghi, Javad Shabanpour, Giovanni Geraci, Paul Almasan, Angel Lozano
https://arxiv.org/abs/2510.10190

Data-Driven Deployment of Reconfigurable Intelligent Surfaces in Cellular Networks
This paper presents a fully automated, data-driven framework for the large-scale deployment of reconfigurable intelligent surfaces (RISs) in cellular networks. Leveraging physically consistent ray tracing and empirical data from a commercial deployment in the UK, the proposed method jointly optimizes RIS placement, orientation, configuration, and base station beamforming in dense urban environments across frequency bands (corresponding to 4G, 5G, and a hypothetical 6G system). Candidate RIS loc…

To Ask or Not to Ask: Learning to Require Human Feedback
Andrea Pugnana, Giovanni De Toni, Cesare Barbera, Roberto Pellungrini, Bruno Lepri, Andrea Passerini
https://arxiv.org/abs/2510.08314

To Ask or Not to Ask: Learning to Require Human Feedback
Developing decision-support systems that complement human performance in classification tasks remains an open challenge. A popular approach, Learning to Defer (LtD), allows a Machine Learning (ML) model to pass difficult cases to a human expert. However, LtD treats humans and ML models as mutually exclusive decision-makers, restricting the expert contribution to mere predictions. To address this limitation, we propose Learning to Ask (LtA), a new framework that handles both when and how to inco…

Co-designing a Programmable RISC-V Accelerator for MPC-based Energy and Thermal Management of Many-Core HPC Processors
Alessandro Ottaviano, Andrino Meli, Paul Scheffler, Giovanni Bambini, Robert Balas, Davide Rossi, Andrea Bartolini, Luca Benini
https://arxiv.org/abs/2510.09163

Co-designing a Programmable RISC-V Accelerator for MPC-based Energy and Thermal Management of Many-Core HPC Processors
Managing energy and thermal profiles is critical for many-core HPC processors with hundreds of application-class processing elements (PEs). Advanced model predictive control (MPC) delivers state-of-the-art performance but requires solving an online optimization problem over a thousand times per second (1 kHz control bandwidth), with computational and memory demands scaling with PE count. Traditional MPC approaches execute the controller on the PEs, but operating system overheads create jitter a…

Introduction to quantitative De Giorgi methods
Giovanni Brigati, Cl\'ement Mouhot
https://arxiv.org/abs/2510.11481 https://arxiv.org/pdf/2510.11481

Introduction to quantitative De Giorgi methods
The theory of De Giorgi (1958) and Nash (1959) solves Hilbert's 19th problem and constitutes a major advance in the analysis of PDEs in the 20th century. This theory concerns the Hölder regularity of solutions to elliptic and parabolic equations with non-regular coefficients, and it was extended by Moser (1960) to include the Harnack inequality. This course reviews the classical De Giorgi method in the elliptic and parabolic cases and introduces its recent extension to hypoelliptic equations w…

Towards Reliable Retrieval in RAG Systems for Large Legal Datasets
Markus Reuter, Tobias Lingenberg, R\=uta Liepi\c{n}a, Francesca Lagioia, Marco Lippi, Giovanni Sartor, Andrea Passerini, Burcu Sayin
https://arxiv.org/abs/2510.06999

Towards Reliable Retrieval in RAG Systems for Large Legal Datasets
Retrieval-Augmented Generation (RAG) is a promising approach to mitigate hallucinations in Large Language Models (LLMs) for legal applications, but its reliability is critically dependent on the accuracy of the retrieval step. This is particularly challenging in the legal domain, where large databases of structurally similar documents often cause retrieval systems to fail. In this paper, we address this challenge by first identifying and quantifying a critical failure mode we term Document-Leve…

Replaced article(s) found for q-bio.QM. https://arxiv.org/list/q-bio.QM/new
[1/1]:
- The role of oscillations in grid cells' toroidal topology
Giovanni di Sarra, Siddharth Jha, Yasser Roudi

Randomized HyperSteiner: A Stochastic Delaunay Triangulation Heuristic for the Hyperbolic Steiner Minimal Tree
Aniss Aiman Medbouhi, Alejandro Garc\'ia-Castellanos, Giovanni Luca Marchetti, Daniel Pelt, Erik J Bekkers, Danica Kragic
https://arxiv.org/abs/2510.09328

Coulomb crystallization of xenon highly charged ions in a laser-cooled Ca matrix
Leonid Prokhorov, Aaron A. Smith, Mingyao Xu, Kostas Georgiou, Vera Guarrera, Lakshmi P. Kozhiparambil Sajith, Elwin A. Dijck, Christian Warnecke, Malte Wehrheim, Alexander Wilzewski, Laura Blackburn, Matthias Keller, Vincent Boyer, Thomas Pfeifer, Ullrich Schwanke, Cigdem Issever, Steven Worm, Piet O. Schmidt, Jos\'e R. Crespo Lopez-Urrutia, Giovanni Barontini

Resolving stellar populations, star formation, and ISM conditions with JWST in a large spiral galaxy at z $\sim$ 2
Eleonora Parlanti, Giulia Tozzi Natascha M. F\"orster Schreiber, Claudia Pulsoni, Letizia Scaloni, Stavros Pastras, Pascal Oesch, Capucine Barfety, Francesco Belfiore, Jianhang Chen, Giovanni Cresci, Ric Davies, Frank Eisenhauer, Juan M. Espejo Salcedo, Reinhard Genzel, Rodrigo Herrera-Camus, Jean-Baptiste Jolly. Lilian L. Lee, Minju M. Lee, Daizhong Liu, Dieter Lutz,…

Resolving stellar populations, star formation, and ISM conditions with JWST in a large spiral galaxy at z $\sim$ 2
Cosmic noon represents the prime epoch of galaxy assembly, and a sweet spot for observations with the James Webb Telescope (JWST) and ground-based near-IR integral-field unit (IFU) spectrographs. This work analyses JWST NIRSpec Micro Shutter Array (MSA), NIRCam Wide Field Slitless Spectroscopy (WFSS) of K20-ID7, a large spiral, star-forming (SF) galaxy at z=2.2, with evidence for radial gas inflows. By exploiting the synergy with ground-based IFU ERIS observations, we conduct a comprehensive an…

Advances in Radiative Capture Studies at LUNA with a Segmented BGO Detector
Jakub Skowronski, Riccardo Maria Gesu\`e, Axel Boeltzig, Giovanni Francesco Ciani, Denise Piatti, David Rapagnani, Marialuisa Aliotta, Chemsedinne Ananna, Francesco Barile, Daniel Bemmerer, Andreas Best, Carlo Broggini, Carlo Giovanni Bruno, Antonio Caciolli, Matteo Campostrini, Francesca Cavanna, Paolo Colombetti, Alessandro Compagnucci, Piero Corvisiero, Laszlo Csedreki, Tom Davinson, Rosanna Depalo, Antonino…

Advances in Radiative Capture Studies at LUNA with a Segmented BGO Detector
Studies of charged-particle reactions for low-energy nuclear astrophysics require high sensitivity, which can be achieved by means of detection setups with high efficiency and low backgrounds, to obtain precise measurements in the energy region of interest for stellar scenarios. High-efficiency total absorption spectroscopy is an established and powerful tool for studying radiative capture reactions, particularly if combined with the cosmic background reduction by several orders of magnitude ob…

Gravitational wave experiments: achievements and plans
Elista Bigongiari, Matteo Di Giovanni, Giovanni Losurdo
https://arxiv.org/abs/2509.25952 https://arx…

Gravitational wave experiments: achievements and plans
Gravitational wave (GW) experiments have transformed our understanding of the Universe by enabling direct observations of compact object mergers and other astrophysical phenomena. This chapter reviews the concepts of GW detectors, such as LIGO, Virgo, and KAGRA, and describes their operating principles, data acquisition and analysis techniques, and some of the methods used to extract source properties. The scientific impact of GW observations is discussed as well, including contributions to ast…

MonSTeR: a Unified Model for Motion, Scene, Text Retrieval
Luca Collorone, Matteo Gioia, Massimiliano Pappa, Paolo Leoni, Giovanni Ficarra, Or Litany, Indro Spinelli, Fabio Galasso
https://arxiv.org/abs/2510.03200

MonSTeR: a Unified Model for Motion, Scene, Text Retrieval
Intention drives human movement in complex environments, but such movement can only happen if the surrounding context supports it. Despite the intuitive nature of this mechanism, existing research has not yet provided tools to evaluate the alignment between skeletal movement (motion), intention (text), and the surrounding context (scene). In this work, we introduce MonSTeR, the first MOtioN-Scene-TExt Retrieval model. Inspired by the modeling of higher-order relations, MonSTeR constructs a unif…

🇺🇦 #NowPlaying on BBCRadio3's #InTune
Giovanni Battista Pergolesi, Julia Lezhneva, Philippe Jaroussky, I Barocchisti & Nathalie Stutzmann:
🎵 Quando Corpus morietur (Stabat Mater)
#GiovanniBattistaPergolesi
https://open.spotify.com/track/07co9HhBqZGNpzA0lTFshq

Crosslisted article(s) found for physics.soc-ph. https://arxiv.org/list/physics.soc-ph/new
[1/1]:
- Data as Commodity: a Game-Theoretic Principle for Information Pricing
Pasquale Casaburi, Giovanni Piccioli, Pierpaolo Vivo

A lower bound on the minimum weight of some geometric codes
Bence Csajb\'ok, Giovanni Longobardi, Giuseppe Marino, Rocco Trombetti
https://arxiv.org/abs/2510.04307 https://

A lower bound on the minimum weight of some geometric codes
The $p$-ary code associated with the incidence structure of points and $t$-spaces in a projective space $\mathrm{PG}(m,q)$, where $q=p^h$, is the $\mathbb{F}_p$-subspace generated by the incidence vectors of the blocks of this design. The dual of this code consists of all vectors orthogonal to every codeword of the original code. In contrast to the codes derived from point-subspace incidences, the minimum weight of the corresponding dual codes is generally unknown, which makes the problem more …

Multi-level informed optimization via decomposed Kriging for large design problems under uncertainty
Enrico Ampellio, Blazhe Gjorgiev, Giovanni Sansavini
https://arxiv.org/abs/2510.07904

Multi-level informed optimization via decomposed Kriging for large design problems under uncertainty
Engineering design involves demanding models encompassing many decision variables and uncontrollable parameters. In addition, unavoidable aleatoric and epistemic uncertainties can be very impactful and add further complexity. The state-of-the-art adopts two steps, uncertainty quantification and design optimization, to optimize systems under uncertainty by means of robust or stochastic metrics. However, conventional scenario-based, surrogate-assisted, and mathematical programming methods are not…

Semantic Bridges Between First Order c-Representations and Cost-Based Semantics: An Initial Perspective
Nicholas Leisegang, Giovanni Casini, Thomas Meyer
https://arxiv.org/abs/2510.00817

Semantic Bridges Between First Order c-Representations and Cost-Based Semantics: An Initial Perspective
Weighted-knowledge bases and cost-based semantics represent a recent formalism introduced by Bienvenu et al. for Ontology Mediated Data Querying in the case where a given knowledge base is inconsistent. This is done by adding a weight to each statement in the knowledge base (KB), and then giving each DL interpretation a cost based on how often it breaks rules in the KB. In this paper we compare this approach with c-representations, a form of non-monotonic reasoning originally introduced by Kern…

Replaced article(s) found for econ.GN. https://arxiv.org/list/econ.GN/new
[1/1]:
- Demand Estimation with Text and Image Data
Giovanni Compiani, Ilya Morozov, Stephan Seiler

Understanding How Synthetic Impurities Affect Glyphosate Solubility and Crystal Growth Using Free Energy Calculations and Molecular Dynamics Simulations
Alejandro Castro, Nuria H. Espejo, Ignacio Sanchez-Burgos, Adiran Garaizar, Giovanni Maria Maggioni, Jorge R. Espinosa
https://arxiv.org/abs/2510.09413

Understanding How Synthetic Impurities Affect Glyphosate Solubility and Crystal Growth Using Free Energy Calculations and Molecular Dynamics Simulations
Glyphosate, the most widely used herbicide worldwide, crystallizes through complex intermolecular interactions that are strongly influenced by synthesis-derived impurities. Understanding this process at the molecular scale is critical for optimizing production, ensuring product quality, and assessing environmental impact. Here, we employ direct coexistence molecular dynamics simulations and free energy calculations to elucidate how glycine-a prevalent synthesis byproduct-modulates glyphosate so…

🍾 Simulations show Saturn's moon Enceladus shoots less ice into space than previous estimates
#saturn

Simulations show Saturn's moon Enceladus shoots less ice into space than previous estimates
In the 17th century, astronomers Christiaan Huygens and Giovanni Cassini trained their telescopes on Saturn and uncovered a startling truth: the planet's luminous bands were not solid appendages, but vast, separate rings composed of countless nested arcs.

Ballistic electron transport described by a generalized Schr\"{o}dinger equation
Giulia Elena Aliffi, Giovanni Nastasi, Vittorio Romano
https://arxiv.org/abs/2510.03765 htt…

Ballistic electron transport described by a generalized Schrödinger equation
We propose a Schrödinger equation of arbitrary order for modeling charge transport in semiconductors operating in the ballistic regime. This formulation incorporates non-parabolic effects through the Kane dispersion relation, thereby extending beyond the conventional effective mass approximation. Building upon the framework introduced in G. E. Aliffi, G. Nastasi, V. Romano, {ZAMP} {76}, 155 (2025), we derive a hierarchy of models, each governed by a Schrödinger equation of increasing order. A…

Data as Commodity: a Game-Theoretic Principle for Information Pricing
Pasquale Casaburi, Giovanni Piccioli, Pierpaolo Vivo
https://arxiv.org/abs/2510.07101 https://

Data as Commodity: a Game-Theoretic Principle for Information Pricing
Data is the central commodity of the digital economy. Unlike physical goods, it is non-rival, replicable at near-zero cost, and traded under heterogeneous licensing rules. These properties defy standard supply--demand theory and call for new pricing principles. We propose a game-theoretic approach in which the value of a data string emerges from strategic competition among N players betting on an underlying stochastic process, each holding partial information about past outcomes. A better-infor…

Replaced article(s) found for math.OC. https://arxiv.org/list/math.OC/new
[1/1]:
- A robust BFGS algorithm for unconstrained nonlinear optimization problems
Yaguang Yang
https://arxiv.org/abs/1212.5929
- Quantum computing and the stable set problem
Alja\v{z} Krpan, Janez Povh, Dunja Pucher
https://arxiv.org/abs/2405.12845 https://mastoxiv.page/@arXiv_mathOC_bot/112483516437815686
- Mean Field Game with Reflected Jump Diffusion Dynamics: A Linear Programming Approach
Zongxia Liang, Xiang Yu, Keyu Zhang
https://arxiv.org/abs/2508.20388 https://mastoxiv.page/@arXiv_mathOC_bot/115111048711698998
- Differential Dynamic Programming for the Optimal Control Problem with an Ellipsoidal Target Set a...
Sungjun Eom, Gyunghoon Park
https://arxiv.org/abs/2509.07546 https://mastoxiv.page/@arXiv_mathOC_bot/115179281556444440
- On the Moreau envelope properties of weakly convex functions
Marien Renaud, Arthur Leclaire, Nicolas Papadakis
https://arxiv.org/abs/2509.13960 https://mastoxiv.page/@arXiv_mathOC_bot/115224514482363803
- Automated algorithm design via Nevanlinna-Pick interpolation
Ibrahim K. Ozaslan, Tryphon T. Georgiou, Mihailo R. Jovanovic
https://arxiv.org/abs/2509.21416 https://mastoxiv.page/@arXiv_mathOC_bot/115286533597711930
- Optimal Control of a Bioeconomic Crop-Energy System with Energy Reinvestment
Othman Cherkaoui Dekkaki
https://arxiv.org/abs/2510.11381 https://mastoxiv.page/@arXiv_mathOC_bot/115372322896073250
- Point Convergence Analysis of the Accelerated Gradient Method for Multiobjective Optimization: Co...
Yingdong Yin
https://arxiv.org/abs/2510.26382 https://mastoxiv.page/@arXiv_mathOC_bot/115468018035252078
- History-Aware Adaptive High-Order Tensor Regularization
Chang He, Bo Jiang, Yuntian Jiang, Chuwen Zhang, Shuzhong Zhang
https://arxiv.org/abs/2511.05788
- Equivalence of entropy solutions and gradient flows for pressureless 1D Euler systems
Jos\'e Antonio Carrillo, Sondre Tesdal Galtung
https://arxiv.org/abs/2312.04932 https://mastoxiv.page/@arXiv_mathAP_bot/111560077272113052
- Kernel Modelling of Fading Memory Systems
Yongkang Huo, Thomas Chaffey, Rodolphe Sepulchre
https://arxiv.org/abs/2403.11945 https://mastoxiv.page/@arXiv_eessSY_bot/112121123836064435
- The Maximum Theoretical Ground Speed of the Wheeled Vehicle
Altay Zhakatayev, Mukatai Nemerebayev
https://arxiv.org/abs/2502.15341 https://mastoxiv.page/@arXiv_physicsclassph_bot/114057765769441123
- Hessian stability and convergence rates for entropic and Sinkhorn potentials via semiconcavity
Giacomo Greco, Luca Tamanini
https://arxiv.org/abs/2504.11133 https://mastoxiv.page/@arXiv_mathPR_bot/114346453424694503
- Optimizing the ground state energy of the three-dimensional magnetic Dirichlet Laplacian with con...
Matthias Baur
https://arxiv.org/abs/2504.21597 https://mastoxiv.page/@arXiv_mathph_bot/114431404740241516
- A localized consensus-based sampling algorithm
Arne Bouillon, Alexander Bodard, Panagiotis Patrinos, Dirk Nuyens, Giovanni Samaey
https://arxiv.org/abs/2505.24861 https://mastoxiv.page/@arXiv_mathNA_bot/114612580684567066
- A Novel Sliced Fused Gromov-Wasserstein Distance
Moritz Piening, Robert Beinert
https://arxiv.org/abs/2508.02364 https://mastoxiv.page/@arXiv_csLG_bot/114976243138728278
- Minimal Regret Walras Equilibria for Combinatorial Markets via Duality, Integrality, and Sensitiv...
Alo\"is Duguet, Tobias Harks, Martin Schmidt, Julian Schwarz
https://arxiv.org/abs/2511.09021 https://mastoxiv.page/@arXiv_csGT_bot/115541243299714775
toXiv_bot_toot

Crosslisted article(s) found for cs.GT. https://arxiv.org/list/cs.GT/new
[1/1]:
- Data as Commodity: a Game-Theoretic Principle for Information Pricing
Pasquale Casaburi, Giovanni Piccioli, Pierpaolo Vivo

🇺🇦 #NowPlaying on BBCRadio3's #ThroughTheNight
Giovanni Pietro Biandara, Pietro Benedetti, Andrea Inghisciano, Gawain Glenton, Giulia Genini, Guido Morini & Maria Gonzalez (mother):
🎵 Abissi di spavento (Biandara); Damigella tutta bella (Benedetti)
#PietroBenedetti

Crosslisted article(s) found for physics.ins-det. https://arxiv.org/list/physics.ins-det/new
[1/1]:
- Gravitational wave experiments: achievements and plans
Elista Bigongiari, Matteo Di Giovanni, Giovanni Losurdo

MAD: Manifold Attracted Diffusion
Dennis Elbr\"achter, Giovanni S. Alberti, Matteo Santacesaria
https://arxiv.org/abs/2509.24710 https://arxiv.org/pdf…

MAD: Manifold Attracted Diffusion
Score-based diffusion models are a highly effective method for generating samples from a distribution of images. We consider scenarios where the training data comes from a noisy version of the target distribution, and present an efficiently implementable modification of the inference procedure to generate noiseless samples. Our approach is motivated by the manifold hypothesis, according to which meaningful data is concentrated around some low-dimensional manifold of a high-dimensional ambient s…

Site-Specific RIS Deployment in Cellular Networks via Calibrated Ray Tracing
Sina Beyraghi, Javad Shabanpour, Giovanni Geraci, Paul Almasan, Angel Lozano
https://arxiv.org/abs/2510.09478

Site-Specific RIS Deployment in Cellular Networks via Calibrated Ray Tracing
This work introduces a fully-automated RIS deployment strategy validated through a digital twin, powered by Sionna ray tracing, of a UK city. On a scene calibrated with measured data, the method jointly optimizes RIS placement, orientation, configuration, and BS beamforming across 4G, 5G, and hypothetical 6G frequencies. Candidate RIS sites are identified via scattering-based rays, while user clustering reduces deployment overhead. Results show that meaningful coverage enhancement requires dens…

A supermassive black hole under the radar: repeating X-ray variability in a Seyfert galaxy
Matteo Imbrogno, Andrea Sacchi, Giovanni Miniutti, Francesco Tombesi, Gian Luca Israel, Enrico Piconcelli, Roberta Amato
https://arxiv.org/abs/2510.02832

A supermassive black hole under the radar: repeating X-ray variability in a Seyfert galaxy
In the last few years, a few supermassive black holes (SMBHs) have shown short-term (of the order of hours) X-ray variability. Given the limited size of the sample, every new addition to this class of SMBHs can bring invaluable information. Within the context of an automated search for X-ray sources showing flux variability in the \textit{Chandra} archive, we identified peculiar variability patterns in 2MASX J12571076+2724177 (J1257), a SMBH in the Coma cluster, during observations performed in…

Elaborazione del Gruppo di lavoro per Borgo Ruga: Martina Becevello - Monia Bianchin - Giovanna Borsato -
Andrea Dapporto - Giovanni Geromin - Luca Pian
Fotografie: Emanuela Mattiazzi - Luca Pian
Foto storiche: Archivio fotografico Comitato Borgo Ruga
Coordinamento generale Andrea Dapporto
#BorgoRuga

Replaced article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- DRL-based Latency-Aware Network Slicing in O-RAN with Time-Varying SLAs
Raoul Raftopoulos, Salvatore D'Oro, Tommaso Melodia, Giovanni Schembra

Study of Lobster and Kirkpatrick-Baez Designs for a Small Mission dedicated to Gravitational Wave Transient Localization
John Rankin, Sergio Campana, Giovanni Pareschi, Daniele Spiga, Stefano Basso, Marta Maria Civitani, Paolo Conconi, Vincenzo Cotroneo
https://arxiv.org/abs/2510.05002

Study of Lobster and Kirkpatrick-Baez Designs for a Small Mission dedicated to Gravitational Wave Transient Localization
The localization of X-ray counterparts to gravitational wave events requires a telescope with accurate localization capability in a field of view comparable to the region constrained by the gravitational wave detectors. In the context of a small, dedicated, mission, we investigate which optical design could satisfy this capability. We compare the possible optical designs that have been proposed for X-rays: the Lobster Eye design (both in the Angel and Schmidt variant) - inspired by the eyes of …

It's not Easy: Applying Supervised Machine Learning to Detect Malicious Extensions in the Chrome Web Store
Ben Rosenzweig, Valentino Dalla Valle, Giovanni Apruzzese, Aurore Fass
https://arxiv.org/abs/2509.21590

It's not Easy: Applying Supervised Machine Learning to Detect Malicious Extensions in the Chrome Web Store
Google Chrome is the most popular Web browser. Users can customize it with extensions that enhance their browsing experience. The most well-known marketplace of such extensions is the Chrome Web Store (CWS). Developers can upload their extensions on the CWS, but such extensions are made available to users only after a vetting process carried out by Google itself. Unfortunately, some malicious extensions bypass such checks, putting the security and privacy of downstream browser extension users a…

🇺🇦 #NowPlaying on BBCRadio3's #ThisClassicalLife
Giovanni Sollima & Jonian Ilias Kadesha:
🎵 Concerto for Violin, Strings, Lute and Percussion "TYCHE", 2nd Movement
#GiovanniSollima #JonianIliasKadesha

Risk-Adjusted Policy Learning and the Social Cost of Uncertainty: Theory and Evidence from CAP evaluation
Giovanni Cerulli, Francesco Caracciolo
https://arxiv.org/abs/2510.05007

Risk-Adjusted Policy Learning and the Social Cost of Uncertainty: Theory and Evidence from CAP evaluation
This paper develops a risk-adjusted alternative to standard optimal policy learning (OPL) for observational data by importing Roy's (1952) safety-first principle into the treatment assignment problem. We formalize a welfare functional that maximizes the probability that outcomes exceed a socially required threshold and show that the associated pointwise optimal rule ranks treatments by the ratio of conditional means to conditional standard deviations. We implement the framework using microdata …

Replaced article(s) found for math.HO. https://arxiv.org/list/math.HO/new
[1/1]:
- Scattered polynomials: an overview on their properties, connections and applications
Giovanni Longobardi

Good Ramanujan Expansions: A suitably enhanced decay of coefficients has important consequences
Giovanni Coppola
https://arxiv.org/abs/2509.24456 https://a…

Good Ramanujan Expansions: A suitably enhanced decay of coefficients has important consequences
In this self-contained short note, we introduce the new definition of Good Ramanujan Expansion, say G.R.E., for a fixed arithmetic function $F$, building upon a good decay of its coefficients $G$; this, gains $\log-$powers w.r.t. the trivial bound for $G$ and precisely $\log^{1+η}$, where the present parameter $η>0$ is real. This property alone has important consequences for all the $F$ having a G.R.E. : mainly, 1) the Eratosthenes Transform $F'$ of our $F$ is infinitesimal (see in Theorem 1)…

Mixed higher-order coupling stabilizes new states
Per Sebastian Skardal, Federico Battiston, Maxime Lucas, Matthew S Mizuhara, Giovanni Petri, Yuanzhao Zhang
https://arxiv.org/abs/2510.09387

Mixed higher-order coupling stabilizes new states
Understanding how higher-order interactions affect collective behavior is a central problem in nonlinear dynamics and complex systems. Most works have focused on a single higher-order coupling function, neglecting other viable choices. Here we study coupled oscillators with dyadic and three different types of higher-order couplings. By analyzing the stability of different twisted states on rings, we show that many states are stable only for certain combinations of higher-order couplings, and th…

Randomized HyperSteiner: A Stochastic Delaunay Triangulation Heuristic for the Hyperbolic Steiner Minimal Tree
Aniss Aiman Medbouhi, Alejandro Garc\'ia-Castellanos, Giovanni Luca Marchetti, Daniel Pelt, Erik J Bekkers, Danica Kragic
https://arxiv.org/abs/2510.09328

Randomized HyperSteiner: A Stochastic Delaunay Triangulation Heuristic for the Hyperbolic Steiner Minimal Tree
We study the problem of constructing Steiner Minimal Trees (SMTs) in hyperbolic space. Exact SMT computation is NP-hard, and existing hyperbolic heuristics such as HyperSteiner are deterministic and often get trapped in locally suboptimal configurations. We introduce Randomized HyperSteiner (RHS), a stochastic Delaunay triangulation heuristic that incorporates randomness into the expansion process and refines candidate trees via Riemannian gradient descent optimization. Experiments on synthetic…

Polarized Neutral and Charged Current Semi-Inclusive Deep-Inelastic Scattering at NNLO in QCD
Leonardo Bonino, Thomas Gehrmann, Markus L\"ochner, Kay Sch\"onwald, Giovanni Stagnitto
https://arxiv.org/abs/2510.00100

Polarized Neutral and Charged Current Semi-Inclusive Deep-Inelastic Scattering at NNLO in QCD
The semi-inclusive production of identified hadrons in deeply inelastic lepton scattering on polarized nucleons allows to probe the spin structure of the nucleon target in a more detailed level than through fully inclusive processes. We compute the NNLO QCD corrections to longitudinally polarized semi-inclusive deep inelastic processes mediated by electroweak neutral and charged currents. We present the first calculation of polarized electroweak structure functions in the Larin scheme up to NNL…

Neutral Barium in Solid Neon: Optical Spectroscopy and First Excited State Lifetime
Alessandro Lippi, Giovanni Carugno, Roberto Calabrese, Federico Chiossi, Marco Guarise, Madiha M. Makhdoom, Giuseppe Messineo, Jacopo Pazzini
https://arxiv.org/abs/2512.11140

Crosslisted article(s) found for stat.ME. https://arxiv.org/list/stat.ME/new
[1/1]:
- Dependent stochastic block models for age-indexed sequences of directed causes-of-death networks
Giovanni Roman\`o, Cristian Castiglione, Daniele Durante

Non-bilinear Dirichlet Functionals: Markovianity, locality, invariance
Giovanni Brigati, Lorenzo Dello Schiavo
https://arxiv.org/abs/2510.02942 https://arx…

Non-bilinear Dirichlet Functionals: Markovianity, locality, invariance
We present in a unified setting the foundations for a theory of non-bilinear Dirichlet functionals on Hilbert spaces. We prove known and new equivalences between non-linear semigroups, non-linear resolvents, non-linear generators, and their energy functionals, including a complete characterization of Markovianity. We introduce and characterize strong notions of invariance for general lower semicontinuous convex functionals, and notions of locality and strong locality for non-bilinear Dirichlet …

🇺🇦 #NowPlaying on BBCRadio3's #EssentialClassics
Antonio Vivaldi, Viktoria Mullova, Il Giardino Armonico & Giovanni Antonini:
🎵 Violin Concerto in D, RV 208 'Grosso Mogul' (1st mvt)
#AntonioVivaldi #ViktoriaMullova
https://open.spotify.com/track/6u11Hdd1ZUpFKeT084dF2U

Lange Verletzungspause - Wie bitter! Kreuzbandriss beim Liverpool-Debüt #News #Nachrichten

Replaced article(s) found for cs.MA. https://arxiv.org/list/cs.MA/new
[1/1]:
- The Hive Mind is a Single Reinforcement Learning Agent
Karthik Soma, Yann Bouteiller, Heiko Hamann, Giovanni Beltrame

The dawn of alchemical free-energy methods in biomolecular simulations
Daniele Macuglia, Giovanni Ciccotti, Beno\^it Roux
https://arxiv.org/abs/2510.04917 https://

The dawn of alchemical free-energy methods in biomolecular simulations
From the onset of fundamental statistical mechanical constructs formulated in the late 19th century, alchemical free-energy methods slowly emerged and transitioned to become operational tools of biomolecular simulation applicable to a wide range of problems including protein-ligand binding for drug discovery research. This article reconstructs how statistical mechanical approaches such as thermodynamic integration and free-energy perturbation were reconfigured in the early 1980's to address the…

Energy minimization for skyrmions on planar thin films
Giovanni Di Fratta, Michael Innerberger, Dirk Praetorius, Valeriy Slastikov
https://arxiv.org/abs/2509.23495 https://

Energy minimization for skyrmions on planar thin films
We consider an energy functional that arises in micromagnetic and liquid crystal theory on thin films. In particular, our energy comprises a non-convex term that models anti-symmetric exchange as well as an anisotropy term. We devise an algorithm for energy minimization in the continuous case and show weak convergence of a subsequence towards a solution of the corresponding Euler--Lagrange equation. Furthermore, an algorithm for numerical energy minimization is presented. We show empirically th…

Replaced article(s) found for gr-qc. https://arxiv.org/list/gr-qc/new
[2/2]:
- Modeling Tidal Disruptions with Dynamical Tides
Zihan Zhou, Giovanni Maria Tomaselli, Irvin Mart\'inez-Rodr\'iguez, Jingping Li

Semantic Bridges Between First Order c-Representations and Cost-Based Semantics: An Initial Perspective
Nicholas Leisegang, Giovanni Casini, Thomas Meyer
https://arxiv.org/abs/2510.00817

Semantic Bridges Between First Order c-Representations and Cost-Based Semantics: An Initial Perspective
Weighted-knowledge bases and cost-based semantics represent a recent formalism introduced by Bienvenu et al. for Ontology Mediated Data Querying in the case where a given knowledge base is inconsistent. This is done by adding a weight to each statement in the knowledge base (KB), and then giving each DL interpretation a cost based on how often it breaks rules in the KB. In this paper we compare this approach with c-representations, a form of non-monotonic reasoning originally introduced by Kern…

BlackTHUNDER: evidence for three massive black holes in a z~5 galaxy
Hannah \"Ubler, Giovanni Mazzolari, Roberto Maiolino, Francesco D'Eugenio, Nazanin Davari, Ignas Juod\v{z}balis, Raffaella Schneider, Rosa Valiante, Santiago Arribas, Elena Bertola, Andrew J. Bunker, Volker Bromm, Stefano Carniani, St\'ephane Charlot, Giovanni Cresci, Mirko Curti, Richard Davies, Frank Eisenhauer, Andrew Fabian, Natascha M. F\"orster Schreiber, Reinhard Genzel, Kohei Inayoshi, Lucy R…

BlackTHUNDER: evidence for three massive black holes in a z~5 galaxy
We present observational evidence for three massive, accreting black holes in the $z=5.0167$ galaxy J0148-4214 from JWST/NIRSpec-IFU spectroscopy. The black holes are revealed through broad H$α$ emission (FWHM = 430-2920 km/s) without a forbidden-line counterpart in the bright [O III] doublet. Channel maps of the asymmetric central H$α$ profile isolate two spatially distinct broad line regions (BLRs), separated by $190\pm40$ pc, while a third BLR is found in the galaxy outskirts with a projec…

🇺🇦 #NowPlaying on BBCRadio3's #Breakfast
Giovanni Gabrieli, London Symphony Brass & Eric Crees:
🎵 Canzon Š 10, S.137
#GiovanniGabrieli #LondonSymphonyBrass #EricCrees

Crosslisted article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[4/5]:
- CroSTAta: Cross-State Transition Attention Transformer for Robotic Manipulation
Giovanni Minelli, Giulio Turrisi, Victor Barasuol, Claudio Semini

Type-Less yet Type-Aware Inductive Link Prediction with Pretrained Language Models
Alessandro De Bellis, Salvatore Bufi, Giovanni Servedio, Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio
https://arxiv.org/abs/2509.26224

Type-Less yet Type-Aware Inductive Link Prediction with Pretrained Language Models
Inductive link prediction is emerging as a key paradigm for real-world knowledge graphs (KGs), where new entities frequently appear and models must generalize to them without retraining. Predicting links in a KG faces the challenge of guessing previously unseen entities by leveraging generalizable node features such as subgraph structure, type annotations, and ontological constraints. However, explicit type information is often lacking or incomplete. Even when available, type information in mos…

Power Reserve Capacity from Virtual Power Plants with Reliability and Cost Guarantees
Lorenzo Zapparoli, Blazhe Gjorgiev, Giovanni Sansavini
https://arxiv.org/abs/2510.04815 htt…

Power Reserve Capacity from Virtual Power Plants with Reliability and Cost Guarantees
The growing penetration of renewable energy sources is expected to drive higher demand for power reserve ancillary services (AS). One solution is to increase the supply by integrating distributed energy resources (DERs) into the AS market through virtual power plants (VPPs). Several methods have been developed to assess the potential of VPPs to provide services. However, the existing approaches fail to account for AS products' requirements (reliability and technical specifications) and to provi…

🇺🇦 #NowPlaying on BBCRadio3's #NightTracks
Giovanni Pierluigi da Palestrina, The Sixteen & Harry Christophers:
🎵 Quam pulchri sunt (from the Song of Songs)
#GiovanniPierluigidaPalestrina #TheSixteen #HarryChristophers

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[6/6]:
- Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations
Giovanni Catalani, Michael Bauerheim, Fr\'ed\'eric Tost, Xavier Bertrand, Joseph Morlier

Partial regularity for parabolic systems of double phase type
Jihoon Ok, Giovanni Scilla, Bianca Stroffolini
https://arxiv.org/abs/2510.03849 https://arxiv…

Partial regularity for parabolic systems of double phase type
We study partial regularity for nondegenerate parabolic systems of double phase type, where the growth function is given by $H(z,s)=s^p+a(z)s^q$, $z=(x,t)\inΩ_T$, with $\tfrac{2n}{n+2}

🇺🇦 #NowPlaying on BBCRadio3's #Breakfast
Tomaso Giovanni Albinoni, Alison Balsom & Scottish Ensemble:
🎵 Concerto Š 5 in B flat major Op.7`3
#TomasoGiovanniAlbinoni #AlisonBalsom #ScottishEnsemble

The Very Faint X-ray Transient 4XMM J174610.7-290020 at the Galactic center
Giovanni Stel, Gabriele Ponti, Nathalie Degenaar, Lara Sidoli, Sandro Mereghetti, Kaya Mori, Tong Bao, Giulia Illiano, Samaresh Mondal, Mark Reynolds, Chichuan Jin, Tianying Lian, Shifra Mandel, Simone Scaringi, Shuo Zhang, Grace Sanger-Johnson, Rudy Wijnands, Jon M. Miller, Jamie Kennea, Zhenlin Zhu

The Very Faint X-ray Transient 4XMM J174610.7-290020 at the Galactic center
Very Faint X-ray Transients (VFXTs) are a class of X-ray binary systems that exhibit occasional outbursts with peak X-ray luminosities (L_X< 1e36 erg s^-1) much lower than typical X-ray transients. On 22nd February 2024, during its daily Galactic center monitoring, Swift-XRT detected a VFXT, 7 arcmin from Sgr A* dubbing it Swift J174610--290018. We aim to characterize the outburst that occurred in 2024, and a second, distinct outburst in 2025, to understand the nature and accretion flow propert…

🇺🇦 #NowPlaying on BBCRadio3's #ChoralEvensong
Giovanni Pierluigi da Palestrina, The Palestrina Choir & Blšnaid Murphy:
🎵 Sicut cervus
#GiovanniPierluigidaPalestrina #ThePalestrinaChoir #BlánaidMurphy
https://open.spotify.com/track/6xzg8scb8U1jkvDFWUscPU

The simulation chain for the Terzina Cherenkov telescope on board the NUSES space mission
M. Abdullahi, R. Aloisio, F. Arneodo, S. Ashurov, U. Atalay, F. C. T. Barbato, R. Battiston, M. Bertaina, E. Bissaldi, D. Boncioli, L. Burmistrov, F. Cadoux, I. Cagnoli, E. Casilli, D. Cortis, A. Cummings, M. D'Arco, S. Davarpanah, I. De Mitri, G. De Robertis, A. Di Giovanni, A. Di Salvo, L. Di Venere, J. Eser, Y. Favre, S. Fogliacco, G. Fontanella, P. Fusco, S. Garbolino, F. Gargano, M. Gilib…

The simulation chain for the Terzina Cherenkov telescope on board the NUSES space mission
The Terzina telescope is designed to detect ultra-high energy cosmic rays (UHECRs) and Earth-skimming neutrinos from a 550 km low-Earth orbit (LEO) by observing Cherenkov light emitted by Extensive Air Showers (EAS) in the Earth's atmosphere pointing towards the telescope and in the field of view. In this contribution, a simulation chain for the Terzina telescope on board the NUSES mission will be presented. The chain encompasses all stages of the detection process, from event generation and EA…

Magnetotactic bacterial populations studied with a Pound-Drever-Hall atomic magnetometer
Mar\'ia Hern\'andez Ruiz, Christopher Kiehl, Vito Giovanni Lucivero, Morgan W. Mitchell
https://arxiv.org/abs/2510.09419

Zero-Shot Decentralized Federated Learning
Alessio Masano, Matteo Pennisi, Federica Proietto Salanitri, Concetto Spampinato, Giovanni Bellitto
https://arxiv.org/abs/2509.26462 h…

Zero-Shot Decentralized Federated Learning
CLIP has revolutionized zero-shot learning by enabling task generalization without fine-tuning. While prompting techniques like CoOp and CoCoOp enhance CLIP's adaptability, their effectiveness in Federated Learning (FL) remains an open challenge. Existing federated prompt learning approaches, such as FedCoOp and FedTPG, improve performance but face generalization issues, high communication costs, and reliance on a central server, limiting scalability and privacy. We propose Zero-shot Decentrali…

🇺🇦 #NowPlaying on BBCRadio3's #ThroughTheNight
Alexandar Avramov, Giovanni Battista Viotti & Ivan Peev:
🎵 Duo concertante in A minor
#AlexandarAvramov #GiovanniBattistaViotti #IvanPeev

Replaced article(s) found for hep-ph. https://arxiv.org/list/hep-ph/new
[1/2]:
- Polarized semi-inclusive deep-inelastic scattering at NNLO in QCD
Leonardo Bonino, Thomas Gehrmann, Markus L\"ochner, Kay Sch\"onwald, Giovanni Stagnitto

Replaced article(s) found for physics.comp-ph. https://arxiv.org/list/physics.comp-ph/new
[1/1]:
- The dawn of alchemical free-energy methods in biomolecular simulations
Daniele Macuglia, Giovanni Ciccotti, Beno\^it Roux

The $M_{\rm BH}-M_{*}$ Relationship at $3<z<7$: Big Black Holes in Little Red Dots
Brenda L. Jones, Dale D. Kocevski, Fabio Pacucci, Anthony J. Taylor, Steven L. Finkelstein, Johannes Buchner, Jonathan R. Trump, Rachel S. Somerville, Michaela Hirschmann, L. Y. Aaron Yung, Guillermo Barro, Eric F. Bell, Laura Bisigello, Antonello Calabro, Nikko J. Cleri, Avishai Dekel, Mark Dickinson, Giovanni Gandolfi, Mauro Giavalisco, Norman A. Grogin, Kohei Inayoshi, Jeyhan S. Kartaltepe, Anto…

The $M_{\rm BH}-M_{*}$ Relationship at $3
JWST has identified a large population of faint, broad-line active galactic nuclei (AGN) in the early universe that are powered by black holes (BHs) that often appear overmassive relative to their host galaxies. In this study, we examine the relationship between BH mass and galaxy stellar mass at $3