Research Labs
All Research Labs
3D Deep Learning
Applied Research
Autonomous Vehicles
Deep Imagination
Publications
AI Playground
New and Featured
AI Art Gallery
NGC Demos
Research Areas
AI & Machine Learning
3D Deep Learning
Computer Vision
Robotics
All Areas
Careers
Academic Collaborations
Government Collaborations
Graduate Fellowship
Internships
Research Openings
Research Scientists
Meet the Team
Licensing
Skip to main content
Publications
Our publications provide insight into some of our leading-edge research.
Filters
Search
Apply
Filters
Filters
Publication Year
2024
(1)
2017
(3)
2016
(1)
Facet Publication Year
Research Areas
Algorithms and Numerical Methods
(5)
Artificial Intelligence and Machine Learning
(5)
High Performance Computing
(5)
Robotics
(1)
Events
CORL
(1)
5 results found
Algorithms and Numerical Methods
Artificial Intelligence and Machine Learning
High Performance Computing
Clear all
Algorithms and Numerical Methods
Artificial Intelligence and Machine Learning
High Performance Computing
2024
Differentiable GPU-Parallelized Task and Motion Planning
William Shen,
Caelan Garrett
,
Ankit Goyal
,
Tucker Hermans
,
Fabio Ramos
CORL
2017
AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks
Aditya Devarakonda, Maxim Naumov,
Michael Garland
Parallel Jaccard and Related Graph Clustering Techniques
Alexandre Fender, Nahid Emad, Serge Petiton, Joe Eaton, Maxim Naumov
Parallel Modularity Clustering
Alexandre Fender, Nahid Emad, Serge Petiton, Maxim Naumov
2016
Parallel Spectral Graph Partitioning
Maxim Naumov, Timothy Moon
