Prof. Rahul Shome — Research Profile
Australian National University · School of Computing
About
Prof. Rahul Shome at Australian National University School of Computing lists robotics, artificial intelligence, task and motion planning, manipulation, multi-robot planning, human-robot interaction as their registered research area.
Research keywords
Recent papers
- Rubix: Global Correspondence-Free Point Set Alignment through Assignment GeometryPreprintarXiv (Cornell University) · Oct 7
- The cost of useful natural gradient updatesPreprintarXiv (Cornell University) · Sep 27
- Asymptotically Optimal Multi-Robot Task and Motion PlanningPreprintarXiv (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: Stochastic Gradient Optimization Techniques
Philipp Braun 교수 연구실
Australian National University · School of Engineering
Spherical-Design Oracles for Zeroth-Order Optimisation: Deterministic, Variance-Free Gradient EstimationNewPreprintarXiv (Cornell University) · Oct 17Tao Dacheng 교수 연구실
Nanyang Technological University · College of Computing and Data Science
Probabilistic Multi-Source Data Selection via Learnable Categorical Priors: Variance Reduction and Guaranteed DerandomizationPreprintarXiv (Cornell University) · Oct 10Martin Jaggi 교수 연구실
EPFL · School of Computer and Communication Sciences
OptiSelect: How does the Optimizer Shape Data Curriculum?PreprintarXiv (Cornell University) · Oct 2
Other labs in this department
- Alberto F. Martin 교수 연구실
high performance scientific computing, partial differential equations, finite elements, parallel preconditioning, scientific machine learning, GPU computing
- Alex Potanin 교수 연구실
programming language design, software verification, cyber security, trustworthy systems, quantum computing, software engineering
- Alwen Tiu 교수 연구실
formal methods, computational logic, automated theorem proving, computer security
- Amanda Barnard 교수 연구실
applied machine learning, artificial intelligence, data science, high performance computing, computational methods for physical sciences, materials, nanotechnology
- Antony Hosking 교수 연구실
programming languages, software systems, object persistence, database systems, memory management, garbage collection, managed language runtimes, optimizing compilers, software assurance
- Ben Swift 교수 연구실
computational art and music, data visualization, data science, human-computer interaction, machine learning