Expertini Research Research

Browse Research Papers

27,300+ open-access research outputs.

โœ• Clear
๐Ÿ” margit antal
Showing 27300 results for "margit antal"
AI & Data Science Preprint PDF DOI

LLMs as ASP Programmers: Self-Correction Enables Task-Agnostic Nonmonotonic Reasoning

Adam Ishay, Joohyung Lee ยท 2026

Recent large language models (LLMs) have achieved impressive reasoning milestones but continue to struggle with high computational costs, logical inconsistencies, and sharp performance degradation on โ€ฆ

Read Paper โ†’
Mathematics Preprint PDF DOI

Stein's square function associated with the Bochner-Riesz means on M\'etivier groups and its applications

Joydwip Singh ยท 2026

In this paper, we study the $L^p$-boundedness of Stein's square function $\mathfrak{S}^{\alpha}(\mathcal{L})$ associated with the sub-Laplacian $\mathcal{L}$ on M\'etivier group $G$. A key aspect of oโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Frequency-Aware Semantic Fusion with Gated Injection for AI-generated Image Detection

Shuchang Zhou, Shangkun Wu, Jiwei Wei, Ke Liu, Ran Ran, Caiyan Qin, Yang Yang ยท 2026

AI-generated images are becoming increasingly realistic and diverse, posing significant challenges for generalizable detection. While Vision Foundation Models (VFMs) provide rich semantic representatiโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Linear-Core Surrogates: Smooth Loss Functions with Linear Rates for Classification and Structured Prediction

Mehryar Mohri, Yutao Zhong ยท 2026

The choice of loss function in classification involves a fundamental trade-off: smooth losses (like Cross-Entropy) enable fast optimization rates but yield slow square-root consistency bounds, while pโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Mind the Gap: Structure-Aware Consistency in Preference Learning

Mehryar Mohri, Yutao Zhong ยท 2026

Preference learning has become the foundation of aligning Large Language Models (LLMs) with human intent. Popular methods, such as Direct Preference Optimization (DPO), minimize surrogate losses as prโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Optimized Deferral for Imbalanced Settings

Corinna Cortes, Anqi Mao, Mehryar Mohri, Yutao Zhong ยท 2026

Learning algorithms can be significantly improved by routing complex or uncertain inputs to specialized experts, balancing accuracy with computational cost. This approach, known as learning to defer, โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Bitwise Over-Parameterized Neural Polar Decoding: A Theoretical Performance Analysis

Hongzhi Zhu, Wei Xu, Xiaohu You ยท 2026

This paper proposes a bitwise over-parameterized neural network (ONN) decoder for polar-coded transmission and develops a tractable theoretical performance analysis framework. By modeling each synthesโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Long-term study of the gamma-ray emission of Cygnus X-3 with MAGIC and Fermi-LAT

K. Abe, S. Abe, J. Abhir, A. Abhishek, V. A. Acciari, A. Aguasca-Cabot, I. Agudo, I. Albanese, T. Aniello, S. Ansoldi, L. A. Antonelli, A. Arbet Engels, C. Arcaro, T. T. H. Arnesen, A. Babic, C. Bakshi, U. Barres de Almeida, J. A. Barrio, L. Barrios-Jimenez, I. Batkovic, J. Baxter, J. Becerra Gonzalez, W. Bednarek, E. Bernardini, J. Bernete, A. Berti, J. Besenrieder, C. Bigongiari, A. Biland, O. Blanch, G. Bonnoli, P. Bordas, Z. Bosnjak, E. Bronzini, I. Burelli, C. Campa, A. Campoy-Ordaz, A. Carosi, R. Carosi, M. Carretero-Castrillo, A. J. Castro-Tirado, D. Cerasole, G. Ceribella, A. Cervino, A. Chilingarian, G. Chon, A. Cifuentes Santos, J. L. Contreras, J. Cortina, S. Covino, G. D'Amico, P. Da Vela, F. Dazzi, A. De Angelis, B. De Lotto, M. Delfino, J. Delgado, F. Di Pierro, R. Di Tria, L. Di Venere, A. Dinesh, D. Dominis Prester, A. Donini, D. Dorner, M. Doro, L. Eisenberger, D. Elsaesser, L. Foffano, L. Font, F. Frias Garcia-Lago, S. Frose, Y. Fukazawa, S. Garcia Soto, M. Gaug, J. G. Giesbrecht Paiva, N. Giglietto, F. Giordano, P. Gliwny, N. Godinovic, T. Gradetzke, R. Grau, J. G. Green, P. Gunther, D. Hadasch, A. Hahn, G. Harutyunyan, T. Hassan, J. Herrera Llorente, D. Hrupec, D. Israyelyan, J. Jahanvi, I. Jimenez Martinez, J. Jimenez Quiles, S. Kankkunen, J. Konrad, P. M. Kouch, H. Kubo, J. Kushida, M. Lainez, A. Lamastra, E. Lindfors, S. Lombardi, F. Longo, R. Lopez-Coto, M. Lopez-Moya, A. Lopez-Oramas, S. Loporchio, L. Lulic, E. Lyard, P. Majumdar, M. Makariev, G. Maneva, M. Manganaro, S. Mangano, M. Mariotti, M. Martinez, P. Marusevec, D. Mazin, S. Menchiari, J. Mendez Gallego, S. Menon, D. Miceli, J. M. Miranda, R. Mirzoyan, M. Molero Gonzalez, E. Molina, H. A. Mondal, A. Moralejo, C. Nanci, A. Negro, V. Neustroev, M. Nievas Rosillo, C. Nigro, L. Nikolic, S. Nozaki, A. Okumura, J. Otero-Santos, S. Paiano, D. Paneque, R. Paoletti, J. M. Paredes, M. Peresano, M. Persic, M. Pihet, F. Podobnik, P. G. Prada Moroni, E. Prandini, W. Rhode, M. Ribo, J. Rico, A. Roy, N. Sahakyan, F. G. Saturni, F. Schiavone, K. Schmitz, T. Schweizer, A. Sciaccaluga, G. Silvestri, A. Simongini, J. Sitarek, D. Sobczynska, A. Stamerra, J. Striskovic, D. Strom, M. Strzys, Y. Suda, R. Takeishi, J. Tartera Barbera, P. Temnikov, T. Terzic, M. Teshima, A. Tutone, S. Ubach, M. Vazquez Acosta, S. Ventura, G. Verna, I. Viale, A. Vigliano, C. F. Vigorito, E. Visentin, V. Vitale, M. Vorbrugg, I. Vovk, R. Walter, C. Walther, F. Wersig, P. K. H. Yeung, V. Bosch-Ramon ยท 2026

Cygnus X-3 is a microquasar composed of a compact object of unknown nature closely orbiting around a Wolf-Rayet star. The particularities of this source make it a unique case among microquasars. This โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

A Knowledge-Driven Approach to Target Speech Extraction in the Presence of Background Sound Effects for Cinematic Audio Source Separation (CASS)

Chun-wei Ho, Sabato Marco Siniscalchi, Kai Li, Chin-Hui Lee ยท 2026

We propose a knowledge-driven approach to speech target extraction in the presence of background sound effects already recorded in cinematic audio. The specific knowledge sources studied are manners oโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Estimating Population Viral Load Contextual Exposure Using GPS-Derived Activity Spaces in Rural South Africa

Zhaoxing Wu, Haoyang Wu, Thulile Mathenjwa, Elphas Okango, Khai Hoan Tram, Margot Otto, Maxime Inghels, Paul Mee, Diego Cuadros, Hae-Young Kim, Till Barnighausen, Frank Tanser, Adrian Dobra ยท 2026

This article introduces novel methodologies for estimating contextual exposure to HIV population viral load using GPS data. We propose a comprehensive analytical framework comprising (i) local (grid-cโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Non-Local Magic Resources for Fermionic Gaussian States

Daniele Iannotti, Beatrice Magni, Riccardo Cioli, Alioscia Hamma, Xhek Turkeshi ยท 2026

Entanglement and magic are fundamental resources that capture the complexity of quantum many-body systems. Non-local magic isolates the irreducible nonstabilizerness intrinsically tied to entanglementโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Semi-supervised learning with max-margin graph cuts

Branislav Kveton, Michal Valko, Ali Rahimi, Ling Huang ยท 2026

This paper proposes a novel algorithm for semisupervised learning. This algorithm learns graph cuts that maximize the margin with respect to the labels induced by the harmonic function solution. We moโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Classical simulation of free-fermionic dynamics and quantum chemistry with magic input

Changhun Oh, Micha{l} Oszmaniec, Oliver Reardon-Smith, Zoltan Zimboras ยท 2026

Establishing the precise computational boundary between classically tractable fermionic systems and those capable of genuine quantum advantage is a central challenge in quantum simulation. While injecโ€ฆ

Read Paper โ†’
Earth & Environmental Sciences Preprint PDF DOI

Shape and spin axis determination of the Tianwen-2 target asteroid (469219) Kamo'oalewa from lightcurve inversion

Roberto Bonamico, Josef Hanus, Marco Delbo ยท 2026

Near-Earth asteroid (469219) Kamo'oalewa is an Earth quasi-satellite, temporarily trapped in a 1:1 orbital resonance with our planet. Despite its dynamical relevance and the hypothesis that it may be โ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Population synthesis of Be X-ray binaries in the Small Magellanic Cloud: angular momentum recycling and stable mass transfer

Victor Lopez Oller, Boyuan Liu, Michela Mapelli, Stefano Rinaldi, Cecilia Sgalletta, Julia Bodensteiner, Giuliano Iorio, Rebekka Schupp ยท 2026

Be X-ray binaries (BeXRBs) are key laboratories to constrain binary interaction processes such as mass transfer, angular-momentum transport, and natal kicks. The Small Magellanic Cloud (SMC), hosting โ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

FunFace: Feature Utility and Norm Estimation for Face Recognition

Ziga Babnik, Fadi Boutros, Naser Damer, Deepak Kumar Jain, Peter Peer, Vitomir Struc ยท 2026

Face Recognition (FR) is used in a variety of application domains, from entertainment and banking to security and surveillance. Such applications rely on the FR model to be robust and perform well in โ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Multimodal LLMs are not all you need for Pediatric Speech Language Pathology

Darren Furst, Sebastian Steindl, Ulrich Schafer ยท 2026

Speech Sound Disorders (SSD) affect roughly five percent of children, yet speech-language pathologists face severe staffing shortages and unmanageable caseloads. We test a hierarchical approach to SSDโ€ฆ

Read Paper โ†’
Mathematics Preprint PDF DOI

Geometric structure of singular free boundary points for the logarithmic obstacle problem

Lili Du, Xu Tang, Yi Zhou ยท 2026

In the previous work [Interfaces Free Bound., 19, 351--369, 2017], de Queiroz and Shahgholian established the optimal $C^{1,\log}_{\mathrm{loc}}$ regularity of solutions for the obstacle problem with โ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

A simple strategy for valid inference in target trial emulations

Mats Julius Stensrud ยท 2026

Target trial emulation has improved comparative effectiveness research by making the causal question, assumptions, and analysis plan explicit. However, target trial protocols are usually developed iteโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Risk-Aware Multi-Market Scheduling of Virtual Power Plants with Dynamic Network Tariffs

Lorenzo Zapparoli, Paul Fath, Blazhe Gjorgiev, Giovanni Sansavini ยท 2026

As the penetration of distributed energy resources (DERs) increases, harnessing their flexibility becomes critical for power system operations. Virtual power plants (VPPs) offer a promising solution. โ€ฆ

Read Paper โ†’
Page 1 of 1365 Next โ†’