High Performance Artificial Intelligence

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Mostrando 1 - 17 resultados de 17

2025

LLM-Driven Social Influence for Cooperative Behavior in Multi-Agent Systems

IEEE Access

J. de Curtò, and I. de Zarzà
Algebraic Approaches to Combining Multiple Large Language Models (extended abstract)

Harnessing the Power of Generative AI for Science and Engineering – The Trillion Parameter Consortium (TPC)

J. de Curtò, and I. de Zarzà

2024

Comparative Analysis of Reasoning Capabilities in Foundation Models

IEEE 2nd International Conference on Foundation and Large Language Models (FLLM 2024)

J. de Curtò, and I. de Zarzà
LLM Multi-agent Decision Optimization

18th International Conference on Agents and Multi-Agent Systems: Technologies and Applications (AMSTA 2024)

J. de Curtò, I. de Zarzà, and C. T. Calafate

2021

2020

Wavefront Parallelization of Recurrent Neural Networks on Multi-core Architectures

Proceedings of the 34th ACM International Conference on Supercomputing (ICS'20)

R. KumarSharma, and M. Casas
GOPHER, an HPC Framework for Large Scale Graph Exploration and Inference

High Performance Computing. ISC High Performance 2020. Lecture Notes in Computer Science

M. JosepFabregó, X. Teruel, V. Gimenez-Abalos, D. Cirillo, D. Garcia-Gasulla, S. Alvarez-Napagao, M. Garcia-Gasulla, E. Ayguadé, and A. Valencia

2019

Towards a Goal-Oriented Agent-Based Simulation Framework for High-Performance Computing

Frontiers in Artificial Intelligence and Applications

D. Gnatyshak, L. Oliva-Felipe, S. Álvarez-Napagao, J. Padget, J. Vázquez-Salceda, D. Garcia-Gasulla, and U. Cortés
Detection, Counting, and Classification of Visual Ganglia Columns of Drosophila Pupae

Computación y Sistemas

E. Javier ArrVarela, U. E. Moya-Sánchez, A. Aguilar-Meléndez, O. Castillo-Reyes, E. Vazquez Santacruz, S. Salazar Colores, and U. Cortés

2018

A Visual Distance for WordNet

Volume 308: Artificial Intelligence Research and Development

R. Pérez-Arnal, A. Vilalta, D. Garcia-Gasulla, U. Cortés, E. Ayguadé, and J. Labarta
An Out-of-the-box Full-Network Embedding for Convolutional Neural Networks

2018 IEEE International Conference on Big Knowledge (ICBK)

D. Garcia-Gasulla, A. Vilalta, F. Parés, E. Ayguadé, J. Labarta, U. Cortés, and T. Suzumura
On the Behavior of Convolutional Nets for Feature Extraction

Journal of Artificial Intelligence Research (JAIR)

D. Garcia-Gasulla, F. Parés, A. Vilalta, J. Moreno, E. Ayguadé, J. Labarta, U. Cortés, and T. Suzumura

2017

Fluid Communities: A Competitive, Scalable and Diverse Community Detection Algorithm

Studies in Computational IntelligenceComplex Networks & Their Applications VI

F. Parés, D. Garcia Gasulla, A. Vilalta, J. Moreno, E. Ayguadé, J. Labarta, U. Cortés, and T. Suzumura
Building Graph Representations of Deep Vector Embeddings

Proceedings of the 2nd Workshop on Semantic Deep Learning (SemDeep-2)

D. Garcia-Gasulla, A. Vilalta, F. Parés, J. Moreno, E. Ayguadé, J. Labarta, U. Cortés, and T. Suzumura
Full-Network Embedding in a Multimodal Embedding Pipeline

Proceedings of the 2nd Workshop on Semantic Deep Learning (SemDeep - 2)

A. Vilalta, D. Garcia-Gasulla, F. Parés, J. Moreno, E. Ayguadé, J. Labarta, U. Cortés, and T. Suzumura
A visual embedding for the unsupervised extraction of abstract semantics

Cognitive Systems Research

D. Garcia-Gasulla, E. Ayguade, J. Labarta, J.. Béjar, U.. Cortés, T. Suzumura, and R.. Chen

2016

On the Representativeness of Convolutional Neural Networks Layers

Artificial Intelligence Research and Development. 19th International Conference of the Catalan Association for Artificial Intelligence (CCIA 2016)

D. Garcia-Gasulla, J. Moreno, R. Ramos-Pollán, R. Casadiegos Barrios, J. Bejar, U. Cortés, E. Ayguade, J. Labarta, and T. Suzumura