Trending Research
Neural General Circulation Models for Weather and Climate
Here we present the first GCM that combines a differentiable solver for atmospheric dynamics with ML components, and show that it can generate forecasts of deterministic weather, ensemble weather and climate on par with the best ML and physics-based methods.
LION: Linear Group RNN for 3D Object Detection in Point Clouds
happinesslz/LION
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To tackle this problem, we simply introduce a 3D spatial feature descriptor and integrate it into the linear group RNN operators to enhance their spatial features rather than blindly increasing the number of scanning orders for voxel features.
Ranked #1 on
3D Object Detection
on Waymo Open Dataset
Agent-E: From Autonomous Web Navigation to Foundational Design Principles in Agentic Systems
AI Agents are changing the way work gets done, both in consumer and enterprise domains.
Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI
In this survey, we give a comprehensive exploration of the latest advancements in Embodied AI.
Dynamic 3D Point Cloud Sequences as 2D Videos
The structured nature of our SPCV representation allows for the seamless adaptation of well-established 2D image/video techniques, enabling efficient and effective processing and analysis of 3D point cloud sequences.
N-Dimensional Gaussians for Fitting of High Dimensional Functions
In the wake of many new ML-inspired approaches for reconstructing and representing high-quality 3D content, recent hybrid and explicitly learned representations exhibit promising performance and quality characteristics.
RouteLLM: Learning to Route LLMs with Preference Data
lm-sys/routellm
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Large language models (LLMs) exhibit impressive capabilities across a wide range of tasks, yet the choice of which model to use often involves a trade-off between performance and cost.
Deep-TEMPEST: Using Deep Learning to Eavesdrop on HDMI from its Unintended Electromagnetic Emanations
As a result, eavesdropping systems designed for the analog case obtain unclear and difficult-to-read images when applied to digital video.
Cinemo: Consistent and Controllable Image Animation with Motion Diffusion Models
maxin-cn/Cinemo
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Diffusion models have achieved great progress in image animation due to powerful generative capabilities.
