Yung-kyun Noh
15 papers · 2010–2026 · 5 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (14) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
🌍
Conference Polyglot
(4)
🏃
Academic Marathon
(14)
🏆
Grand Slam
📈
Trend Setter
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Keyword Collector
(63)
💎
Century Club
(14)
Conferences
NIPS (8)
AISTATS (2)
ICLR (2)
ICML (2)
AAAI (1)
Top co-authors
Keywords
metric learning
(4)
energy-based model
(3)
bias reduction
(2)
nearest neighbor classification
(2)
diffusion model
(2)
nearest neighbor
(2)
generative model
(2)
off-policy evaluation
(1)
adversarial learning
(1)
neural decoding
(1)
change detection
(1)
density estimation
(1)
feature selection
(1)
kl divergence
(1)
anomaly detection
(1)
maximum likelihood
(1)
domain adaptation
(1)
outlier detection
(1)
inverse reinforcement learning
(1)
maximum entropy
(1)
Papers
On the Information Processing of One-Dimensional Wasserstein Distances with Finite Samples
AAAI 2026
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models
NIPS 2024
Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies
ICLR 2024
Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach
NIPS 2023
Variational Weighting for Kernel Density Ratios
NIPS 2023
Geometrically regularized autoencoders for non-Euclidean data
ICLR 2023
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions
NIPS 2022
A Reparametrization-Invariant Sharpness Measure Based on Information Geometry
NIPS 2022
Autoencoding Under Normalization Constraints
ICML 2021
K-Beam Minimax: Efficient Optimization for Deep Adversarial Learning
ICML 2018
Generative Local Metric Learning for Kernel Regression
NIPS 2017
Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation
AISTATS 2015
Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence
AISTATS 2014
Diffusion Decision Making for Adaptive k-Nearest Neighbor Classification
NIPS 2012
Generative Local Metric Learning for Nearest Neighbor Classification
NIPS 2010