Extended Target Tracking and Shape Estimation via Random Finite Sets. - Peng Mun Siew; Richard Linares; Vibhor L. Bageshwar (ACC, 2019)

Optimal Tasking of Ground-Based Sensors for Space Situational Awareness Using Deep Reinforcement Learning. - Peng Mun Siew; Richard Linares (Sensors, 2022)

Transformer-based Atmospheric Density Forecasting. - Julia Briden; Peng Mun Siew; Víctor Rodríguez-Fernández; Richard Linares (CoRR, 2023)

Towards a Machine Learning-Based Approach to Predict Space Object Density Distributions. - Víctor Rodríguez-Fernández; Sumiyajav Sarangerel; Peng Mun Siew; Pablo Machuca; Daniel Jang; Richard Linares (CoRR, 2024)

Language Models are Spacecraft Operators. - Víctor Rodríguez-Fernández; Alejandro Carrasco; Jason Cheng; Eli Scharf; Peng Mun Siew; Richard Linares (CoRR, 2024)

Enhancing Solar Driver Forecasting with Multivariate Transformers. - Sergio Sanchez-Hurtado; Víctor Rodríguez-Fernández; Julia Briden; Peng Mun Siew; Richard Linares (CoRR, 2024)

DreamSat: Towards a General 3D Model for Novel View Synthesis of Space Objects. - Nidhi Mathihalli; Audrey Wei; Giovanni Lavezzi; Peng Mun Siew; Víctor Rodríguez-Fernández; Hodei Urrutxua; Richard Linares (CoRR, 2024)