Nicolas Astorga

According to our database, Nicolas Astorga authored at least 7 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Autoformulation of Mathematical Optimization Models Using LLMs.

Nicolás Astorga, Tennison Liu, Yuanzhang Xiao, Mihaela van der Schaar

CoRR, 2024

Large Language Models to Enhance Bayesian Optimization.

Tennison Liu, Nicolás Astorga, Nabeel Seedat, Mihaela van der Schaar

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Multi-Class Deep SVDD: Anomaly Detection Approach in Astronomy with Distinct Inlier Categories.

Manuel Pérez-Carrasco, Guillermo Cabrera-Vives, Lorena Hernández-García, Francisco Förster, Paula Sánchez-Sáez, Alejandra Muñoz Arancibia, Nicolás Astorga, Franz E. Bauer, Amelia Bayo, Martina Cádiz-Leyton, Márcio Catelán

CoRR, 2023

2020

MPCC: Matching Priors and Conditionals for Clustering.

Nicolás Astorga, Pablo Huijse, Pavlos Protopapas, Pablo A. Estévez

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Adversarial Variational Domain Adaptation.

Manuel Pérez-Carrasco, Guillermo Cabrera-Vives, Pavlos Protopapas, Nicolas Astorga, Marouan Belhaj

CoRR, 2019

2018

Clustering of Astronomical Transient Candidates Using Deep Variational Embedding.

Nicolas Astorga, Pablo Huijse, Pablo A. Estévez, Francisco Förster

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Latent representations of transient candidates from an astronomical image difference pipeline using Variational Autoencoders.

Pablo Huijse, Nicolas Astorga, Pablo A. Estévez, Giuliano Pignata

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018