Ali Taghibakhshi
4 papers · 2021–2025 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
๐
Conference Polyglot ยท Bronze
๐
Interdisciplinary Bridge ยท Bronze
๐ฃ
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Keywords
graph neural network
(2)
domain decomposition
(2)
partial differential equation
(2)
reward hacking
(1)
loss function
(1)
text-to-image diffusion
(1)
image diversity
(1)
linear system solver
(1)
graph coarsening
(1)
pareto optimization
(1)
kl divergence regularization
(1)
multilevel method
(1)
unsupervised loss
(1)
unstructured grid
(1)
graph convolutional neural network
(1)
lora scaling
(1)
algebraic multigrid
(1)
domain decomposition method
(1)
optimized schwarz method
(1)
multigrid method
(1)
Papers
Elucidating Optimal Reward-Diversity Tradeoffs in Text-to-Image Diffusion Models
WACV 2025
MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods
ICML 2023
Learning Interface Conditions in Domain Decomposition Solvers
NeurIPS 2022
Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning
NeurIPS 2021