[논문리뷰] Model-Based and Sample-Efficient AI-Assisted Math Discovery in Sphere PackingJun Wang이 arXiv에 게시한 'Model-Based and Sample-Efficient AI-Assisted Math Discovery in Sphere Packing' 논문에 대한 자세한 리뷰입니다.#Review#Sphere Packing#Mathematical Discovery#Semidefinite Programming (SDP)#Bayesian Optimization (BO)#Monte Carlo Tree Search (MCTS)#Sample-Efficient AI#Model-Based Learning#Geometric Constraints2025년 12월 4일댓글 수 로딩 중
[논문리뷰] Geometrically-Constrained Agent for Spatial ReasoningLehan He이 arXiv에 게시한 'Geometrically-Constrained Agent for Spatial Reasoning' 논문에 대한 자세한 리뷰입니다.#Review#Spatial Reasoning#Vision Language Models (VLMs)#Geometric Constraints#Agentic AI#Tool Integration#Semantic-to-Geometric Gap#Task Formalization2025년 11월 30일댓글 수 로딩 중
[논문리뷰] Discriminately Treating Motion Components Evolves Joint Depth and Ego-Motion LearningZuyi Xiong이 arXiv에 게시한 'Discriminately Treating Motion Components Evolves Joint Depth and Ego-Motion Learning' 논문에 대한 자세한 리뷰입니다.#Review#Self-supervised Learning#Depth Estimation#Ego-Motion Estimation#Motion Component Discrimination#Geometric Constraints#Optical Flow#PoseNet#DepthNet2025년 11월 9일댓글 수 로딩 중