| The automatic learning for the rapid classification of events (ALeRCE) alert broker F Förster, G Cabrera-Vives, E Castillo-Navarrete, PA Estévez, ... The Astronomical Journal 161 (5), 242, 2021 | 196 | 2021 |
| Convolutional neural networks for automated damage recognition and damage type identification C Modarres, N Astorga, EL Droguett, V Meruane Structural Control and Health Monitoring 25 (10), e2230, 2018 | 191 | 2018 |
| Large Language Models to Enhance Bayesian Optimization T Liu*, N Astorga*, N Seedat, M van der Schaar The Twelfth International Conference on Learning Representations, 2024 | 50 | 2024 |
| Alert classification for the alerce broker system: The anomaly detector M Perez-Carrasco, G Cabrera-Vives, L Hernandez-García, F Förster, ... The Astronomical Journal 166 (4), 151, 2023 | 15 | 2023 |
| Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios N Astorga, T Liu, N Seedat, M van der Schaar Advances in Neural Information Processing Systems 37, 20819-20857, 2025 | 7* | 2025 |
| Drowsiness detection using electroencephalography signals: A deep learning based model L Guarda, N Astorga, E Droguett, M Moura, M Ramos Proceedings of the Probabilistic Safety Assessment and Management PSAM, Los …, 2018 | 7 | 2018 |
| Convolutional neural networks for automated damage recognition and damage type identification. Struct Control Health Monitor 25 (10): e2230 C Modarres, N Astorga, EL Droguett, V Meruane | 7 | 2018 |
| Multiscale stamps for real-time classification of alert streams I Reyes-Jainaga, F Förster, AMM Arancibia, G Cabrera-Vives, A Bayo, ... The Astrophysical Journal Letters 952 (2), L43, 2023 | 6 | 2023 |
| Mpcc: Matching priors and conditionals for clustering N Astorga, P Huijse, P Protopapas, P Estévez European Conference on Computer Vision, 658-677, 2020 | 5 | 2020 |
| Clustering of astronomical transient candidates using deep variational embedding N Astorga, P Huijse, PA Estévez, F Förster 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 5 | 2018 |
| Autoformulation of mathematical optimization models using LLMs N Astorga*, T Liu*, Y Xiao, M van der Schaar arXiv preprint arXiv:2411.01679, 2024 | 4 | 2024 |
| ATAT: Astronomical Transformer for time series and Tabular data G Cabrera-Vives, D Moreno-Cartagena, N Astorga, I Reyes-Jainaga, ... Astronomy & Astrophysics 689, A289, 2024 | 4 | 2024 |
| Latent representations of transient candidates from an astronomical image difference pipeline using Variational Autoencoders. P Huijse, N Astorga, PA Estévez, G Pignata ESANN, 2018 | 4 | 2018 |
| Adversarial variational domain adaptation M Pérez-Carrasco, G Cabrera-Vives, P Protopapas, N Astorga, M Belhaj CoRR, abs/1909.11651, 2019 | 3* | 2019 |
| Improving LLM Generation with Inverse and Forward Alignment: Reward Modeling, Prompting, Fine-Tuning, and Inference-Time Optimization H Sun, T Pouplin, N Astorga, T Liu, M van der Schaar The First Workshop on System-2 Reasoning at Scale, NeurIPS'24, 2024 | 2 | 2024 |
| Computer vision for structural damage quantification: A novel residual deep learning based approach N Astorga, EL Droguett, V Meruane Safety and Reliability–Safe Societies in a Changing World, 1057-1063, 2018 | 2 | 2018 |
| Multi-Class Deep SVDD: Anomaly Detection Approach in Astronomy with Distinct Inlier Categories M Pérez-Carrasco, G Cabrera-Vives, L Hernández-García, F Forster, ... arXiv preprint arXiv:2308.05011, 2023 | 1 | 2023 |
| Computer vision for damage recognition and type identification: a deep learning based approach C Modarres, A Coburger, N Astorga, E López Droguett, M Fuge, ... Safety and Reliability-Theory and Applications-Proceedings of the 27th …, 2017 | 1 | 2017 |
| Active Task Disambiguation with LLMs K Kobalczyk*, N Astorga*, T Liu, M van der Schaar arXiv preprint arXiv:2502.04485, 2025 | | 2025 |
| AAD: ALeRCE Anomaly Detector M Perez-Carrasco, G Cabrera-Vives, L Hernandez-García, F Förster, ... Astrophysics Source Code Library, ascl: 2406.013, 2024 | | 2024 |