3 citations · 5 across the 4 of their papers we have counts for
4 papers
GPU Offload in Rust: Portable, Safe, and Fast
Manuel S. Drehwald, Marcelo Domínguez, Kevin Sala +2
High-performance GPU programming has traditionally forced a compromise between execution efficiency and memory safety. While Rust guarantees compile-time memory safety for host CPU…
MOLPIPx: an end-to-end differentiable package for permutationally invariant polynomials in Python and Rust
Manuel S. Drehwald, Asma Jamali, Rodrigo A. Vargas-Hernández
In this work, we present MOLPIPx, a versatile library designed to seamlessly integrate Permutationally Invariant Polynomials (PIPs) with modern machine learning frameworks, enablin…
Learning Zero-Shot Material States Segmentation, by Implanting Natural Image Patterns in Synthetic Data
Sagi Eppel, Jolina Li, Manuel Drehwald +1
Visual recognition of materials and their states is essential for understanding the physical world, from identifying wet regions on surfaces or stains on fabrics to detecting infec…
One-shot recognition of any material anywhere using contrastive learning with physics-based rendering
Manuel S. Drehwald, Sagi Eppel, Jolina Li +2
Visual recognition of materials and their states is essential for understanding most aspects of the world, from determining whether food is cooked, metal is rusted, or a chemical r…