168 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Sorbonne UniversitéFR44 papers
- Centre National de la Recherche ScientifiqueFR27 papers
- Université Paris 1 Panthéon-SorbonneFR25 papers
- Laboratoire de Physique Théorique et Hautes EnergiesFR8 papers
- International Institute of Information Technology BangaloreIN6 papers
- National University of SingaporeSG5 papers
- Duke-NUS Medical SchoolSG4 papers
- Indian Statistical InstituteIN4 papers
- Institut d'Astrophysique de ParisFR4 papers
- Khalifa University of Science and TechnologyAE4 papers
- Université Paris-SaclayFR4 papers
- Université Paris Sciences et LettresFR4 papers
30 papers · 1 filter
BV-BRST Noether theorem
Glenn Barnich, Laurent Baulieu, Marc Henneaux +1
The BRST Noether theorem, or ``Noether's 1.5 theorem'', asserts the triviality of the BRST Noether current. We provide two proofs of this theorem that are both valid without restri…
Forecasting precipitation in the Arctic using probabilistic machine learning informed by causal climate drivers
Madhurima Panja, Dhiman Das, Tanujit Chakraborty +6
Understanding and forecasting precipitation events in the Arctic maritime environments, such as Bear Island and Ny-Ålesund, is crucial for assessing climate risk and developing ear…
Macroeconomic Forecasting for the G7 countries under Uncertainty Shocks
Shovon Sengupta, Sunny Kumar Singh, Tanujit Chakraborty
Accurate macroeconomic forecasting has become harder amid geopolitical disruptions, policy reversals, and volatile financial markets. Conventional vector autoregressions (VARs) ove…
C-DiffDet+: Fusing Global Scene Context with Generative Denoising for High-Fidelity Car Damage Detection
Abdellah Zakaria Sellam, Ilyes Benaissa, Salah Eddine Bekhouche +3
Fine-grained object detection in challenging visual domains, such as vehicle damage assessment, presents a formidable challenge even for human experts to resolve reliably. While Di…
Automated event generation for S-wave quarkonium and leptonium production in NRQCD and NRQED
Alice Colpani Serri, Chris A. Flett, Jean-Philippe Lansberg +3
We present an extension of the MadGraph5_aMC@NLO framework that enables the automated calculation of leading-order cross sections for S-wave quarkonium and leptonium production wit…
CVPD at QIAS 2025 Shared Task: An Efficient Encoder-Based Approach for Islamic Inheritance Reasoning
Salah Eddine Bekhouche, Abdellah Zakaria Sellam, Hichem Telli +2
Islamic inheritance law (Ilm al-Mawarith) requires precise identification of heirs and calculation of shares, which poses a challenge for AI. In this paper, we present a lightweigh…
NNLO QCD corrections to from Local Unitarity combined with Coulomb resummation and NLO EW effects
Zeno Capatti, Mathijs Fraaije, Valentin Hirschi +3
The Local Unitarity (LU) formalism provides a constructive, integrand-level realisation of the Kinoshita-Lee-Nauenberg (KLN) theorem, by combining loop and phase-space integrals ap…
Neural ARFIMA model for forecasting BRIC exchange rates with long memory
Donia Besher, Madhurima Panja, Shovon Sengupta +1
Exchange rate forecasting remains a challenging problem, particularly for emerging economies, where the observed time series exhibit pronounced long-memory dependence, nonlinear dy…
Salt-Rock Creep Deformation Forecasting Using Deep Neural Networks and Analytical Models for Subsurface Energy Storage Applications
Pradeep Kumar Shukla, Tanujit Chakraborty, Mustafa Sari +2
This study provides an in-depth analysis of time series forecasting methods to predict the time-dependent deformation trend (also known as creep) of salt rock under varying confini…
Assessing Engineering Student Perceptions of Introductory CS Courses in an Indian Context
Utsav Kumar Nareti, Divyansh Gupta, Chandranath Adak +5
Understanding student perceptions of assessment is vital for designing inclusive and effective learning environments, especially in technical education. This study explores enginee…
Universal Patterns in the Blockchain: Analysis of EOAs and Smart Contracts in ERC20 Token Networks
Kundan Mukhia, SR Luwang, Md. Nurujjaman +3
Scaling laws offer a powerful lens to understand complex transactional behaviors in decentralized systems. This study reveals distinctive statistical signatures in the transactiona…
RAVID: Retrieval-Augmented Visual Detection: A Knowledge-Driven Approach for AI-Generated Image Identification
Mamadou Keita, Wassim Hamidouche, Hessen Bougueffa Eutamene +2
In this paper, we introduce RAVID, the first framework for AI-generated image detection that leverages visual retrieval-augmented generation (RAG). While RAG methods have shown pro…
Enhanced Arabic Text Retrieval with Attentive Relevance Scoring
Salah Eddine Bekhouche, Azeddine Benlamoudi, Yazid Bounab +2
Arabic poses a particular challenge for natural language processing (NLP) and information retrieval (IR) due to its complex morphology, optional diacritics and the coexistence of M…
SAViL-Det: Semantic-Aware Vision-Language Model for Multi-Script Text Detection
Mohammed-En-Nadhir Zighem, Abdenour Hadid
Detecting text in natural scenes remains challenging, particularly for diverse scripts and arbitrarily shaped instances where visual cues alone are often insufficient. Existing met…
SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging
Salah Eddine Bekhouche, Gaby Maroun, Fadi Dornaika +1
Medical image segmentation is crucial for many healthcare tasks, including disease diagnosis and treatment planning. One key area is the segmentation of skin lesions, which is vita…
Identification problems for anisotropic time-fractional subdiffusion equations
Simone Creo, Maria Rosaria Lancia, Andrea Mola +2
We investigate the inverse problem consisting in the identification of constant coefficients for a fractional-in-time partial differential equation governed by a finite sum of posi…
Probabilistic Forecasting of Climate Policy Uncertainty: The Role of Macro-financial Variables and Google Search Data
Donia Besher, Anirban Sengupta, Tanujit Chakraborty
Accurately forecasting Climate Policy Uncertainty (CPU) is essential for designing climate strategies that balance economic growth with environmental objectives. Elevated CPU level…
Deciphering compressed electroweakino excesses with MadAnalysis 5
Jack Y. Araz, Benjamin Fuks, Mark D. Goodsell +1
We present version 1.11 of MadAnalysis 5, which extends the software package in several major ways to improve the handling of efficiency tables, the computation of observables in d…
Searching for top-philic heavy resonances in boosted four-top final states
Luc Darmé, Benjamin Fuks, Hao-Lin Li +2
New heavy resonances with sizeable couplings to top quarks can be probed through searches for beyond-the-Standard-Model effects in four-top production at the LHC. In this work, we…
Analytic NNLO transverse-momentum-dependent soft function for heavy quark pair hadroproduction at threshold
Hua-Sheng Shao, Guoxing Wang
The transverse-momentum-dependent (TMD) soft function for non-relativistic heavy quark pair production at hadron colliders is analytically computed at next-to-next-to-leading order…
Recent Advances in Medical Imaging Segmentation: A Survey
Fares Bougourzi, Abdenour Hadid
Medical imaging is a cornerstone of modern healthcare, driving advancements in diagnosis, treatment planning, and patient care. Among its various tasks, segmentation remains one of…
Hyperbolic embedding of multilayer networks
Martin Guillemaud, Vera Dinkelacker, Mario Chavez
Multilayer networks offer a powerful framework for modeling complex systems across diverse domains, effectively capturing multiple types of connections and interdependent subsystem…
Higher order Jacobi method for solving system of linear equations
Nithin Kumar Goona, Lama Tarsissi
This work proposes a higher-order iterative framework for solving matrix equations, inspired by the structure and functionality of neural networks. A modification of the classical…
DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images
Mamadou Keita, Wassim Hamidouche, Hessen Bougueffa Eutamene +2
This paper introduces DeeCLIP, a novel framework for detecting AI-generated images using CLIP-ViT and fusion learning. Despite significant advancements in generative models capable…