발행물

전체 논문

150

11

Learning Symmetrization for Equivariance with Orbit Distance Minimization
Tien Dat Nguyen, Jinwoo Kim, Hongseok Yang, Seunghoon Hong
Workshop on Symmetry and Geometry in Neural Representations (NeurReps 2023), 2023.12

12

Regularized Behavior Cloning for Blocking the Leakage of Past Action Information
Seokin Seo, HyeongJoo Hwang, Hongseok Yang, Kee-Eung Kim
NeurIPS 2023, 2023.12

13

Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility
Hoil Lee, Fadhel Ayed, Paul Jung, Juho Lee, Hongseok Yang, François Caron
Journal of Machine Learning Research, 2023.09

14

Regularizing Towards Soft Equivariance Under Mixed Symmetries
Hyunsu Kim, Hyungi Lee, Hongseok Yang, Juho Lee
ICML 2023, 2023.07

15

Smoothness Analysis for Probabilistic Program with Application to Optimised Variational Inference
Wonyeol Lee, Xavier Rival, Hongseok Yang
POPL 2023, 2023

16

LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation
Geon-Hyeong Kim, Jongmin Lee, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim
NeurIPS 2022, 2022.11

17

Learning Symmetric Rules with SATNet
Sangho Lim, Eun-Gyeol Oh, Hongseok Yang
NeurIPS 2022, 2022.11

18

DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations
Geon-Hyeong Kim, Seokin Seo, Jongmin Lee, Wonseok Jeon, HyeongJoo Hwang, Hongseok Yang, Kee-Eung Kim
ICLR 2022, 2022.04

19

Scale Mixtures of Neural Network Gaussian Processes
Hyungi Lee, Eunggu Yun, Hongseok Yang, Juho Lee
ICLR 2022, 2022.04

20

Meta-Learning an Inference Algorithm for Probabilistic Programs
Gwonsoo Che, Hongseok Yang
Workshop on Advances in Programming Languages and Neurosymbolic Systems (AIPLANS), 2021.12