Ilsang Ohn
4 papers · 2022–2026 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Taxonomy Completionist
(10)
Top co-authors
Research topics
Machine Learning
(4)
Deep Learning
(3)
Architectures
(2)
Learning Types · Machine Learning
(2)
Artificial Intelligence
(1)
Application Areas
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core Methods
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Optimization & Theory
(1)
Keywords
algorithmic fairness
(1)
variational inference
(1)
density estimation
(1)
uncertainty quantification
(1)
minimax optimality
(1)
adversarial training
(1)
markov chain monte carlo
(1)
label noise
(1)
posterior inference
(1)
curse of dimensionality
(1)
diffusion model
(1)
noisy label
(1)
bayesian neural network
(1)
sparse neural network
(1)
demographic parity
(1)
minimax optimal rate
(1)
integral probability metric
(1)
total variation distance
(1)
node-sparse model
(1)
memorization effect
(1)
Papers
Nonparametric Estimation of a Factorizable Density using Diffusion Models
JMLR 2026
IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples
AAAI 2024
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference
ICML 2023
Learning fair representation with a parametric integral probability metric
ICML 2022