According to recent studies, a policy’s depiction can significantly affect learning performance. Policy representations such as feed-forward neural networks, energy-based models, and diffusion have all been investigated in earlier research. A recent study by Carnegie...

MoD-SLAM is a state-of-the-art method for Simultaneous Localization And Mapping (SLAM) systems. In SLAM systems, it is challenging to achieve real-time, accurate, and scalable dense mapping. To address these challenges, researchers have introduced a novel method...

The task of view synthesis is essential in both computer vision and graphics, enabling the re-rendering of scenes from various viewpoints akin to the human eye. This capability is vital for everyday tasks and fosters creativity by allowing the envisioning and crafting...

Cardiac Magnetic Resonance Imaging (CMRI) segmentation plays a crucial role in diagnosing cardiovascular diseases, particularly ischemic heart conditions, which are a leading cause of global mortality. While CMRI offers precise imaging of anatomical regions with...

Datasets are an integral part of the field of Artificial Intelligence (AI), especially when it comes to language modeling. The ability of Large Language Models (LLMs) to respond to instructions efficiently is attributed to the fine-tuning of pre-trained models, which...

The prevailing approach for tackling complex reasoning tasks involves prompting language models to provide step-by-step answers, known as Chain-of-Thought (CoT) prompting. However, evaluating the correctness of reasoning steps is challenging due to the absence of...