Chahine, Makram

6 publications

ICLR 2026 The Curious Case of In-Training Compression of State Space Models Makram Chahine, Philipp Nazari, Daniela Rus, T. Konstantin Rusch

CoRL 2025 Improving Efficiency of Sampling-Based Motion Planning via Message-Passing Monte Carlo Makram Chahine, T. Konstantin Rusch, Zach J Patterson, Daniela Rus

ICLRW 2025 Improving Efficiency of Sampling-Based Motion Planning via Message-Passing Monte Carlo Makram Chahine, T. Konstantin Rusch, Zach J Patterson, Daniela Rus

CoRL 2024 Gaussian Splatting to Real World Flight Navigation Transfer with Liquid Networks Alex Quach, Makram Chahine, Alexander Amini, Ramin Hasani, Daniela Rus

L4DC 2023 Learning Stability Attention in Vision-Based End-to-End Driving Policies Tsun-Hsuan Wang, Wei Xiao, Makram Chahine, Alexander Amini, Ramin Hasani, Daniela Rus

ICLR 2023 Liquid Structural State-Space Models Ramin Hasani, Mathias Lechner, Tsun-Hsuan Wang, Makram Chahine, Alexander Amini, Daniela Rus