Prof. Yorie Nakahira — Research Profile
Carnegie Mellon University · Electrical and Computer Engineering
About
카네기멜런 대학교 전기컴퓨터공학과 소속 Yorie Nakahira 교수의 등록된 연구 분야는 Control, Learning, Optimization, Autonomous systems, Neuroscience입니다.
Research keywords
Recent papers
- HilbertGen-3D:Hilbert--Multifractal Conditioning for Topology-Aware 3D GenerationNewPreprintarXiv (Cornell University) · Oct 15
- Full-Covariance Smoothing of Bayesian Neural Networks for Online AdaptationPreprintarXiv (Cornell University) · Sep 23
- Learning Fractional-Order Dynamics from a Single TrajectoryPreprintarXiv (Cornell University) · Sep 16
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Shared topic: 3D Shape Modeling and Analysis
Trevor Darrell 교수 연구실
University of California, Berkeley · Electrical Engineering and Computer Sciences
World Motion Models: Flexible Sequence Modeling of SE(3) TrajectoriesPreprintarXiv (Cornell University) · Oct 1Maneesh Agrawala 교수 연구실
Stanford University · Computer Science
Learned Localized Mesh RefinementPreprintarXiv (Cornell University) · Sep 25Jeannette Bohg 교수 연구실
Stanford University · Computer Science
ClothAtlas: Joint Garment Identification and State Estimation under Self-OcclusionNewPreprintarXiv (Cornell University) · Oct 12
Other labs in this department
- Akshitha Sriraman 교수 연구실
Computer systems, Computer architecture, Data center computing, Microservices and serverless
- Andrea Zanette 교수 연구실
Reinforcement learning, Exploration, Function approximation, Offline learning
- Andrew Ilyas 교수 연구실
Machine learning, Statistical tools, Training data, Trustworthy AI
- Anthony Rowe 교수 연구실
Cyber-physical systems, Embedded sensing systems, Distributed systems, Mixed reality
- Aswin Sankaranarayanan 교수 연구실
Computational imaging, Compressed sensing, Computer vision, Signal processing
- Brandon Lucia 교수 연구실
Computer architecture, Intermittent computing, Energy-harvesting devices, Edge computing