Aim to bump older, culturally important, or much-recommended works to the top of your to-be-read list. This is an edition of ...
Abstract: The vehicle dynamics model serves as a vital component of autonomous driving systems, as it describes the temporal changes in vehicle state. Traditional physics-based methods employ ...
Abstract: Autonomous driving in extreme conditions presents substantial challenges in ensuring vehicle stability and safety. Traditional reinforcement learning (RL) methods for decision-making often ...
The proliferation of open-sourced Large Language Models (LLMs) and diverse downstream tasks necessitates efficient model selection, given the impracticality of fine-tuning all candidates due to ...
This repository contains the official implementation for R3DM accepted at the International Conference on Machine Learning (ICML) 2025. It includes the source code for the ACORM and R3DM algorithms, ...
Following the sequence and structure revolutions, predicting functionally relevant protein structure changes at scale remains an outstanding challenge. We introduce BioEmu, a deep learning system that ...
Markets are shifting faster than traditional operating models can adapt. Customer expectations are rising. Capital constraints require every decision to deliver measurable value. In this environment, ...
Tariffs and economic uncertainty are influencing not only how much consumers spend but also when they spend. Wayvia’s Tariffs Impact Report shows that between January and June 2025, purchase intent ...
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