Existing end-to-end autonomous driving (E2E-AD) methods predominantly rely on single expert demonstrations through imitation learning, often leading to conservative and homogeneous driving behaviors ...

When something scarce and consequential is at stake, watch who invokes the language of sharing. It is rarely the party that ...

Abstract: Diffusion probabilistic models have effectively addressed the ill-posed nature of cardiac magnetic resonance imaging (CMRI) super-resolution (SR) by learning high-resolution image ...

This repository contains the code for a conditional diffusion model used to perform inverse analysis in the materials field. Specifically, we perform inverse analysis to propose microstructures and ...

Tesla has introduced a new All-Wheel Drive version of its popular Model Y electric SUV. The new trim starts at $41,990 and has an estimated battery range of 294 miles. Tesla now offers five different ...

Tesla plans to end production of its Model S and Model X vehicles in the spring. The company will convert the factory space to build its Optimus robot. CEO Elon Musk stated the move is part of a shift ...

View post: Smokey Nagata Was a Viral JDM Legend Before the Internet Existed Tesla's seven-seat Model Y returns to U.S., but lacks increased wheelbase. Third-row seats offer limited legroom and reduce ...

DeepSeek founder Liang Wenfeng has published a new paper with a research team from Peking University, outlining key technical directions for next-generation sparse large language models. The study is ...

The piece explores how conditional diffusion models—combined with factor structure and no-arbitrage pricing logic—can be used to model full joint return distributions rather than point forecasts.

Abstract: Diffusion Probabilistic Models (DPMs) have recently demonstrated considerable potential for single image super-resolution (SISR) by utilizing a conditional generation process that transforms ...