Hongseok Yang

Hongseok Yang

KAIST

H-index: 47

Asia-South Korea

About Hongseok Yang

Hongseok Yang, With an exceptional h-index of 47 and a recent h-index of 30 (since 2020), a distinguished researcher at KAIST, specializes in the field of Probabilistic Programming, Programming Languages, Machine Learning, Software Verification, Distributed System.

His recent articles reflect a diverse array of research interests and contributions to the field:

Regularized Behavior Cloning for Blocking the Leakage of Past Action Information

Probabilistic programming interfaces for random graphs: Markov categories, graphons, and nominal sets

An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network

Learning Symmetrization for Equivariance with Orbit Distance Minimization

Regularizing towards soft equivariance under mixed symmetries

Over-parameterised shallow neural networks with asymmetrical node scaling: global convergence guarantees and feature learning

Smoothness analysis for probabilistic programs with application to optimised variational inference

Semantics of higher-order probabilistic programs with continuous distributions

Hongseok Yang Information

University

Position

Professor School of Computing

Citations(all)

9364

Citations(since 2020)

3325

Cited By

7432

hIndex(all)

47

hIndex(since 2020)

30

i10Index(all)

80

i10Index(since 2020)

61

Email

University Profile Page

Google Scholar

Hongseok Yang Skills & Research Interests

Probabilistic Programming

Programming Languages

Machine Learning

Software Verification

Distributed System

Top articles of Hongseok Yang

Regularized Behavior Cloning for Blocking the Leakage of Past Action Information

Advances in Neural Information Processing Systems

2024/2/13

Hongseok Yang
Hongseok Yang

H-Index: 29

Kee-Eung Kim
Kee-Eung Kim

H-Index: 20

Probabilistic programming interfaces for random graphs: Markov categories, graphons, and nominal sets

Proceedings of the ACM on Programming Languages

2024/1/5

An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network

arXiv preprint arXiv:2312.03386

2023/12/6

Taeyoung Kim
Taeyoung Kim

H-Index: 31

Hongseok Yang
Hongseok Yang

H-Index: 29

Learning Symmetrization for Equivariance with Orbit Distance Minimization

arXiv preprint arXiv:2311.07143

2023/11/13

Regularizing towards soft equivariance under mixed symmetries

2023/7/3

Hongseok Yang
Hongseok Yang

H-Index: 29

Juho Lee
Juho Lee

H-Index: 1

Over-parameterised shallow neural networks with asymmetrical node scaling: global convergence guarantees and feature learning

arXiv preprint arXiv:2302.01002

2023/2/2

Smoothness analysis for probabilistic programs with application to optimised variational inference

Proceedings of the ACM on Programming Languages

2023/1/9

Wonyeol Lee
Wonyeol Lee

H-Index: 5

Hongseok Yang
Hongseok Yang

H-Index: 29

Semantics of higher-order probabilistic programs with continuous distributions

Proceedings of the ACM on Programming Languages

2019/12/20

Deep Neural Networks with Dependent Weights: Gaussian Process Mixture Limit, Heavy Tails, Sparsity and Compressibility

Journal of Machine Learning Research

2023

Alpha-stable convergence of heavy-/light-tailed infinitely wide neural networks

Advances in Applied Probability

2023

Lobsdice: Offline learning from observation via stationary distribution correction estimation

Advances in Neural Information Processing Systems

2022/12/6

Learning symmetric rules with SATNet

Advances in Neural Information Processing Systems

2022/12/6

Hongseok Yang
Hongseok Yang

H-Index: 29

DemoDice: Offline imitation learning with supplementary imperfect demonstrations

2021/10/6

Scale mixtures of neural network Gaussian processes

arXiv preprint arXiv:2107.01408

2021/7/3

Hongseok Yang
Hongseok Yang

H-Index: 29

Juho Lee
Juho Lee

H-Index: 1

Probabilistic programs with stochastic conditioning

2021/7/1

Meta-learning an inference algorithm for probabilistic programs

arXiv preprint arXiv:2103.00737

2021/3/1

Hongseok Yang
Hongseok Yang

H-Index: 29

A generalization of hierarchical exchangeability on trees to directed acyclic graphs

Annales Henri Lebesgue

2021

Bayesian Policy Search for Stochastic Domains

arXiv preprint arXiv:2010.00284

2020/10/1

Yuan Zhou
Yuan Zhou

H-Index: 16

Hongseok Yang
Hongseok Yang

H-Index: 29

Differentiable Algorithm for Marginalising Changepoints

Proceedings of the AAAI Conference on Artificial Intelligence

2020/4/3

Wonyeol Lee
Wonyeol Lee

H-Index: 5

Hongseok Yang
Hongseok Yang

H-Index: 29

Stochastically Differentiable Probabilistic Programs

arXiv preprint arXiv:2003.00704

2020/3/2

Yuan Zhou
Yuan Zhou

H-Index: 16

Hongseok Yang
Hongseok Yang

H-Index: 29

See List of Professors in Hongseok Yang University(KAIST)

Co-Authors

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