Saeed Vahidian
9 papers · 2020–2026 · 7 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 ↓+1 more ↓ Show less ↑
🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (24) ❓ The Questioner
🌈
Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(6)
Optimization & Theory
(6)
Core Methods
(5)
Artificial Intelligence
(3)
Learning Paradigms · Artificial Intelligence
(3)
Learning Types · Machine Learning
(3)
Models
(3)
Mathematics & Optimization
(2)
Architectures
(2)
Learning Paradigms · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Optimization
(2)
Computer Science
(1)
Computer Vision
(1)
Keywords
dataset distillation
(3)
diffusion model
(2)
federated learning
(2)
generative model
(2)
convergence analysis
(1)
minimax optimization
(1)
manifold learning
(1)
singular value decomposition
(1)
coreset selection
(1)
generative training
(1)
nonlinear manifold
(1)
spectral analysis
(1)
distribution similarity
(1)
distributionally robust optimization
(1)
spectral method
(1)
sensor placement
(1)
risk minimization
(1)
data heterogeneity
(1)
generative prior
(1)
curriculum learning
(1)
Papers
CONCORD: Concept-Informed Diffusion for Dataset Distillation
WACV 2026
Group Distributionally Robust Dataset Distillation with Risk Minimization
ICLR 2025
Efficient Dataset Distillation via Minimax Diffusion
CVPR 2024
Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents
ECCV 2024
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces
AAAI 2023
When Do Curricula Work in Federated Learning?
ICCV 2023
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models
ICLR 2021
Coresets for Estimating Means and Mean Square Error with Limited Greedy Samples
UAI 2020
Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds
CVPR 2020