R. Teixeira De Lima

Mohammed V University — MA

Physics and Astronomy · Physical Sciences

93h-index40.6kcitations1.0kworks5.42yr avg
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Research Topics

Particle physics theoretical and experimental studies(984), High-Energy Particle Collisions Research(810), Quantum Chromodynamics and Particle Interactions(432), Particle Detector Development and Performance(329), Dark Matter and Cosmic Phenomena(153)

Publications28 total

Advanced Layout Analysis Models for Docling
arXiv (Cornell University)·2025Open Access
Benchmarking Unsupervised Strategies for Anomaly Detection in Multivariate Time Series
arXiv (Cornell University)·2025Open Access
Electrochromic smart windows with visible-light modulation and radiation UV filter
2025
<scp>ChemQuery</scp>: A Natural Language Query‐Driven Service for Comprehensive Exploration of Chemistry Patent Literature
Applied AI Letters·2025Open Access
SmolDocling: An ultra-compact vision-language model for end-to-end multi-modal document conversion
arXiv (Cornell University)·2025Open Access
Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence
arXiv (Cornell University)·2025· 1 citedOpen Access
Equivalence of definitions of AF groupoid
Proceedings of the American Mathematical Society·2025
Docling: An Efficient Open-Source Toolkit for AI-driven Document Conversion
arXiv (Cornell University)·2025· 1 citedOpen Access
Know Your RAG: Dataset Taxonomy and Generation Strategies for Evaluating RAG Systems
arXiv (Cornell University)·2024· 2 citedOpen Access
Docling Technical Report
arXiv (Cornell University)·2024· 8 citedOpen Access
INDUS: Effective and Efficient Language Models for Scientific Applications
arXiv (Cornell University)·2024· 2 citedOpen Access
INDUS: Effective and Efficient Language Models for Scientific Applications
2024· 6 citedOpen Access
Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml
Machine Learning Science and Technology·2023· 15 citedOpen Access
Author response for "Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml"
2023
Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml
arXiv (Cornell University)·2022· 2 citedOpen Access
Sequence-Based Learning
WORLD SCIENTIFIC eBooks·2022
Sequence-Based Learning
WORLD SCIENTIFIC eBooks·2022
Sequence-based Machine Learning Models in Jet Physics
arXiv (Cornell University)·2021· 2 citedOpen Access
Accessing HH at ATLAS and CMS with the HL-LHC
Proceedings of The Eighth Annual Conference on Large Hadron Collider Physics — PoS(LHCP2020)·2020Open Access
Deep Sets for Flavor Tagging on the ATLAS Experiment
CERN Document Server (European Organization for Nuclear Research)·2020Open Access
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Frequent Co-authors

Michele Dolfi(9), Peter Staar(9), Christoph Auer(6), Nikolaos Livathinos(6), M. Kagan(5), Maksym Lysak(5), Ahmed Nassar(5), Yusik Kim(5), C. Vernieri(4), Cesar Berrospi Ramis(4), Matteo Omenetti(4), Shubham Gupta(4), Lucas Morin(4), Panagiotis Vagenas(4), E. E. Khoda(3), Dylan Rankin(3), Philip Harris(3), Scott Hauck(3), S.‐C. Hsu(3), Vladimir Lončar(3)