Nicolas Astorga

According to our database, Nicolas Astorga authored at least 11 papers between 2018 and 2025.

Collaborative distances:

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

2025

Continuously Updating Digital Twins using Large Language Models.

Harry Amad, Nicolás Astorga, Mihaela van der Schaar

CoRR, June, 2025

Active Task Disambiguation with LLMs.

Kasia Kobalczyk, Nicolás Astorga, Tennison Liu, Mihaela van der Schaar

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Active Feature Acquisition for Personalised Treatment Assignment.

Julianna Piskorz, Nicolás Astorga, Jeroen Berrevoets, Mihaela van der Schaar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Autoformulation of Mathematical Optimization Models Using LLMs.

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

CoRR, 2024

Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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