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2020 – today
- 2024
[i5]Víctor Rodríguez-Fernández, Sumiyajav Sarangerel, Peng Mun Siew, Pablo Machuca, Daniel Jang, Richard Linares:
Towards a Machine Learning-Based Approach to Predict Space Object Density Distributions. CoRR abs/2401.04212 (2024)- [i4]Víctor Rodríguez-Fernández, Alejandro Carrasco, Jason Cheng, Eli Scharf, Peng Mun Siew, Richard Linares:
Language Models are Spacecraft Operators. CoRR abs/2404.00413 (2024) - [i3]Sergio Sanchez-Hurtado, Víctor Rodríguez-Fernández, Julia Briden, Peng Mun Siew, Richard Linares:
Enhancing Solar Driver Forecasting with Multivariate Transformers. CoRR abs/2406.15847 (2024) - [i2]Nidhi Mathihalli, Audrey Wei, Giovanni Lavezzi, Peng Mun Siew, Víctor Rodríguez-Fernández, Hodei Urrutxua, Richard Linares:
DreamSat: Towards a General 3D Model for Novel View Synthesis of Space Objects. CoRR abs/2410.05097 (2024) - 2023
- [i1]Julia Briden, Peng Mun Siew, Víctor Rodríguez-Fernández, Richard Linares:
Transformer-based Atmospheric Density Forecasting. CoRR abs/2310.16912 (2023) - 2022
- [j1]Peng Mun Siew
, Richard Linares:
Optimal Tasking of Ground-Based Sensors for Space Situational Awareness Using Deep Reinforcement Learning. Sensors 22(20): 7847 (2022)
2010 – 2019
- 2019
- [c1]Peng Mun Siew, Richard Linares, Vibhor L. Bageshwar:
Extended Target Tracking and Shape Estimation via Random Finite Sets. ACC 2019: 5346-5351
Coauthor Index
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