Adrian Bazaga

Orcid: 0000-0002-1508-285X

According to our database1, Adrian Bazaga authored at least 13 papers between 2018 and 2024.

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Bibliography

2024
FLUID-LLM: Learning Computational Fluid Dynamics with Spatiotemporal-aware Large Language Models.
CoRR, 2024

TabMDA: Tabular Manifold Data Augmentation for Any Classifier using Transformers with In-context Subsetting.
CoRR, 2024

Unsupervised Pretraining for Fact Verification by Language Model Distillation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Language Model Knowledge Distillation for Efficient Question Answering in Spanish.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
SQLformer: Deep Auto-Regressive Query Graph Generation for Text-to-SQL Translation.
CoRR, 2023

Unsupervised Fact Verification by Language Model Distillation.
CoRR, 2023

2022
HumanMine: advanced data searching, analysis and cross-species comparison.
Database J. Biol. Databases Curation, 2022

2021
Translating synthetic natural language to database queries: a polyglot deep learning framework.
CoRR, 2021

2019
BIOLITMAP: a web-based geolocated, temporal and thematic visualization of the evolution of bioinformatics publications.
Bioinform., 2019

A Convolutional Neural Network for the automatic diagnosis of collagen VI-related muscular dystrophies.
Appl. Soft Comput., 2019

Network Community Cluster-Based Analysis for the Identification of Potential Leukemia Drug Targets.
Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019

2018
Performance Evaluation of an Algorithm-based Asynchronous Checkpoint-Restart Fault Tolerant Application Using Mixed MPI/GPI-2.
CoRR, 2018


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