Author

Marius F. R. Juston

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#artificial intelligence Preprint Sep 2026

Prompt Minimization: Reducing Input Redundancy Without Sacrificing Output Fidelity

Despite the growing capabilities of large language models (LLMs), prompt design remains largely heuristic and ad hoc. This project will explore $\textit{prompt minimization}$, the process of reducing prompts to their smallest, most information-dense form while preserving output fidelity. Practically, shorter prompts re...

Marius F. R. Juston, Kevin A. Karim, Jonathan Gao et al. · 0 citations

Preprint Sep 2026

MarsFM: Shading-Regularized Flow Matching for Martian Relief Estimation

We present MarsFM, an image-conditioned latent flow-matching model for local Martian relief estimation from single-band HiRISE RED orthoimagery. The method combines a pretrained generative prior with stereo-derived geometric supervision and a differentiable Lunar--Lambert shading objective. Relief, normal, gradient, cu...

Marius F. R. Juston · 0 citations

#artificial intelligence Preprint Sep 2026

MarsRecon: Self-Supervised and Multimodal Surface Representations for Mars

High-resolution orbital imagery offers a rich record of the Martian surface, but sparse geological labels limit supervised representation learning. We present MarsRecon, a geospatially aware pipeline for learning visual and multimodal representations from HiRISE observations of Olympus Mons. The pipeline calibrates NAS...

Akshay Naik, Marius F. R. Juston, Jay Mahajan · 0 citations