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Rohan Sawhney
Rohan Sawhney
Research Scientist, NVIDIA
Verified email at nvidia.com - Homepage
Title
Cited by
Cited by
Year
Boundary first flattening
R Sawhney, K Crane
ACM Transactions on Graphics (ToG) 37 (1), 1-14, 2017
1452017
Monte Carlo geometry processing: A grid-free approach to PDE-based methods on volumetric domains
R Sawhney, K Crane
ACM Transactions on Graphics 39 (4), 2020
542020
Grid-free Monte Carlo for PDEs with spatially varying coefficients
R Sawhney, D Seyb, W Jarosz, K Crane
122022
Walk on Stars: A Grid-Free Monte Carlo Method for PDEs with Neumann Boundary Conditions
R Sawhney, B Miller, I Gkioulekas, K Crane
ACM Trans. Graph. 42 (August 2023), 20, 2023
102023
Decorrelating restir samplers via mcmc mutations
R Sawhney, D Lin, M Kettunen, B Bitterli, R Ramamoorthi, C Wyman, ...
ACM Transactions on Graphics 43 (1), 1-15, 2024
62024
FCPW: Fastest Closest Points in the West
R Sawhney, R Ye, J Korndoerfer, K Crane
Online, 2021
52021
Boundary Value Caching for Walk on Spheres
B Miller, R Sawhney, K Crane, I Gkioulekas
ACM Trans. Graph. 42 (August 2023), 11, 2023
42023
Monte Carlo geometry processing
R Sawhney, K Crane
ACM Trans. Graph 39 (4), 2020
22020
Grid-Free Monte Carlo for PDEs with Spatially Varying Coefficients-Supplemental
R SAWHNEY, D SEYB, W JAROSZ, K CRANE
2022
Walk on Stars
R Sawhney, B Miller, I Gkioulekas, K Crane
Deep Reinforcement Learning in Continuous Multi Agent Environments
A Li, M Kuchnik, Y Luo, R Sawhney
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Articles 1–11