4 citations · 4 across the 8 of their papers we have counts for
8 papers
De-rendering, Reasoning, and Repairing Charts with Vision-Language Models
Valentin Bonas, Martin Sinnona, Viviana Siless +1
Data visualizations are central to scientific communication, journalism, and everyday decision-making, yet they are frequently prone to errors that can distort interpretation or mi…
Do Large Language Models Understand Data Visualization Rules?
Martin Sinnona, Valentin Bonas, Emmanuel Iarussi +1
Data visualization rules-derived from decades of research in design and perception-ensure trustworthy chart communication. While prior work has shown that large language models (LL…
Do Large Language Models Understand Data Visualization Principles?
Martin Sinnona, Valentin Bonas, Viviana Siless +1
Data visualization principles, derived from decades of research in design and perception, ensure proper visual communication. While prior work has shown that large language models…
Validating Deep Models for Alzheimer's 18F-FDG PET Diagnosis Across Populations: A Study with Latin American Data
Hugo Massaroli, Hernan Chaves, Pilar Anania +3
Deep learning models have shown strong performance in diagnosing Alzheimer's disease (AD) using neuroimaging data, particularly 18F-FDG PET scans, with training datasets largely co…
A Transparent Fairness Evaluation Protocol for Open-Source Language Model Benchmarking on the Blockchain
Hugo Massaroli, Leonardo Iara, Emmanuel Iarussi +1
Large language models (LLMs) are increasingly deployed in realworld applications, yet concerns about their fairness persist especially in highstakes domains like criminal justice,…
VesselGPT: Autoregressive Modeling of Vascular Geometry
Paula Feldman, Martin Sinnona, Claudio Delrieux +2
Anatomical trees are critical for clinical diagnosis and treatment planning, yet their complex and diverse geometry make accurate representation a significant challenge. Motivated…
Recursive Variational Autoencoders for 3D Blood Vessel Generative Modeling
Paula Feldman, Miguel Fainstein, Viviana Siless +2
Anatomical trees play an important role in clinical diagnosis and treatment planning. Yet, accurately representing these structures poses significant challenges owing to their intr…
DUDF: Differentiable Unsigned Distance Fields with Hyperbolic Scaling
Miguel Fainstein, Viviana Siless, Emmanuel Iarussi
In recent years, there has been a growing interest in training Neural Networks to approximate Unsigned Distance Fields (UDFs) for representing open surfaces in the context of 3D re…