We present Representation Autoencoders (RAE), a class of autoencoders that utilize pretrained, frozen representation encoders such as DINOv2 and SigLIP2 as encoders with trained ViT decoders. RAE can ...
This repository contains the official implementation of the paper "Discovery of the Reward Function for Embodied Reinforcement Learning Agents". It includes scripts and experiments designed to ...
Abstract: Surrogate modeling is a key enabler in antenna engineering, facilitating efficient simulation-based design, including parametric optimization. However, developing reliable behavioral models ...
Abstract: Remote sensing image change detection (RSICD) is a crucial technique for Earth observation. However, the mainstream RSICD methods still face two main challenges. First, the encoding stage ...
Synthetic nucleic acids are a key input to modern biotechnology, yet they represent dual-use materials that require robust screening to mitigate biosecurity risks. The prevailing screening paradigm, ...
Type to search articles, cases, and authors. Press ↵ to view all results. The Supreme Court on Monday afternoon cleared the way for Alabama to use a congressional map that a lower court had blocked on ...
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