Juho Lee - RankMe

143 papers A* 52A 3Journal 79Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Foundational Brain Dynamics Model via Stochastic Optimal Control. CoRR Joonhyeong Park, Byoungwoo Park, Chang-Bae Bang, Jungwon Choi, Hyungjin Chung, Byung-Hoon Kim, Juho Lee
2025	A*	`conf`	Active Learning with Selective Time-Step Acquisition for PDEs. ICML Yegon Kim, Hyunsu Kim, Gyeonghoon Ko, Juho Lee
2025	A*	`conf`	Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series. ICLR Byoungwoo Park, Hyungi Lee, Juho Lee
2025	J	`jnl`	Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning. CoRR Dong Bok Lee, Aoxuan Silvia Zhang, Byungjoo Kim, Junhyeon Park, Steven Adriaensen, Juho Lee, Sung Ju Hwang, Hae Beom Lee
2025	A*	`conf`	Dimension Agnostic Neural Processes. ICLR Hyungi Lee, Chaeyun Jang, Dongbok Lee, Juho Lee
2025	J	`jnl`	Dimension Agnostic Neural Processes. CoRR Hyungi Lee, Chaeyun Jang, Dongbok Lee, Juho Lee
2025	A*	`conf`	Ensemble Distribution Distillation via Flow Matching. ICML Jonggeon Park, Giung Nam, Hyunsu Kim, Jongmin Yoon, Juho Lee
2025	J	`jnl`	FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA. CoRR Seanie Lee, Sangwoo Park, Dong Bok Lee, Dominik Wagner, Haebin Seong, Tobias Bocklet, Juho Lee, Sung Ju Hwang
2025	A*	`conf`	HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models. ICLR Seanie Lee, Haebin Seong, Dong Bok Lee, Minki Kang, Xiaoyin Chen, Dominik Wagner, Yoshua Bengio, Juho Lee, Sung Ju Hwang
2025	A*	`conf`	Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning. ICLR Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain
2025	J	`jnl`	Learning from Neighbors with PHIBP: Predicting Infectious Disease Dynamics in Data-Sparse Environments. CoRR Edwin Fong, Lancelot F. James, Juho Lee
2025	J	`jnl`	Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning. Trans. Mach. Learn. Res. Francois Caron, Fadhel Ayed, Paul Jung, Hoil Lee, Juho Lee, Hongseok Yang
2025	A*	`conf`	Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo. ICLR Hyunsu Kim, Giung Nam, Chulhee Yun, Hongseok Yang, Juho Lee
2025	J	`jnl`	Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo. CoRR Hyunsu Kim, Giung Nam, Chulhee Yun, Hongseok Yang, Juho Lee
2025	—	`conf`	SafeRoute: Adaptive Model Selection for Efficient and Accurate Safety Guardrails in Large Language Models. ACL (Findings) Seanie Lee, Dong Bok Lee, Dominik Wagner, Minki Kang, Haebin Seong, Tobias Bocklet, Juho Lee, Sung Ju Hwang
2025	J	`jnl`	SafeRoute: Adaptive Model Selection for Efficient and Accurate Safety Guardrails in Large Language Models. CoRR Seanie Lee, Dong Bok Lee, Dominik Wagner, Minki Kang, Haebin Seong, Tobias Bocklet, Juho Lee, Sung Ju Hwang
2025	A*	`conf`	Variational Bayesian Pseudo-Coreset. ICLR Hyungi Lee, Seungyoo Lee, Juho Lee
2025	J	`jnl`	Variational Bayesian Pseudo-Coreset. CoRR Hyungi Lee, Seungyoo Lee, Juho Lee
2024	A*	`conf`	A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models. ICML Tae Hong Moon, Moonseok Choi, EungGu Yun, Jongmin Yoon, Gayoung Lee, Jaewoong Cho, Juho Lee
2024	J	`jnl`	A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models. CoRR Tae Hong Moon, Moonseok Choi, EungGu Yun, Jongmin Yoon, Gayoung Lee, Jaewoong Cho, Juho Lee
2024	J	`jnl`	Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series. CoRR Byoungwoo Park, Hyungi Lee, Juho Lee
2024	J	`jnl`	Calibrated Decision-Making through LLM-Assisted Retrieval. CoRR Chaeyun Jang, Hyungi Lee, Seanie Lee, Juho Lee
2024	J	`jnl`	Cost-Sensitive Multi-Fidelity Bayesian Optimization with Transfer of Learning Curve Extrapolation. CoRR Dong Bok Lee, Aoxuan Silvia Zhang, Byungjoo Kim, Junhyeon Park, Juho Lee, Sung Ju Hwang, Hae Beom Lee
2024	A*	`conf`	Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling. ICLR Hyungi Lee, Giung Nam, Edwin Fong, Juho Lee
2024	J	`jnl`	Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling. CoRR Hyungi Lee, Giung Nam, Edwin Fong, Juho Lee
2024	A*	`conf`	Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems. NeurIPS Giung Nam, Juho Lee
2024	J	`jnl`	Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems. CoRR Giung Nam, Juho Lee
2024	J	`jnl`	Fast Ensembling with Diffusion Schr\"odinger Bridge. CoRR Hyunsu Kim, Jongmin Yoon, Juho Lee
2024	A*	`conf`	Fast Ensembling with Diffusion Schrödinger Bridge. ICLR Hyunsu Kim, Jongmin Yoon, Juho Lee
2024	J	`jnl`	HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models. CoRR Seanie Lee, Haebin Seong, Dong Bok Lee, Minki Kang, Xiaoyin Chen, Dominik Wagner, Yoshua Bengio, Juho Lee, Sung Ju Hwang
2024	J	`jnl`	Joint-Embedding Masked Autoencoder for Self-supervised Learning of Dynamic Functional Connectivity from the Human Brain. CoRR Jungwon Choi, Hyungi Lee, Byung-Hoon Kim, Juho Lee
2024	—	`conf`	Learning Dynamic Brain Connectome with Graph Transformers for Psychiatric Diagnosis Classification. ISBI Byung-Hoon Kim, Jungwon Choi, EungGu Yun, Kyungsang Kim, Xiang Li, Juho Lee
2024	A*	`conf`	Learning Infinitesimal Generators of Continuous Symmetries from Data. NeurIPS Gyeonghoon Ko, Hyunsu Kim, Juho Lee
2024	J	`jnl`	Learning Infinitesimal Generators of Continuous Symmetries from Data. CoRR Gyeonghoon Ko, Hyunsu Kim, Juho Lee
2024	J	`jnl`	Learning diverse attacks on large language models for robust red-teaming and safety tuning. CoRR Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain
2024	A*	`conf`	Learning to Explore for Stochastic Gradient MCMC. ICML Seunghyun Kim, Seohyeon Jung, Seonghyeon Kim, Juho Lee
2024	J	`jnl`	Learning to Explore for Stochastic Gradient MCMC. CoRR Seunghyun Kim, Seohyeon Jung, Seonghyeon Kim, Juho Lee
2024	A*	`conf`	Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance. ICLR Giung Nam, Byeongho Heo, Juho Lee
2024	J	`jnl`	Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance. CoRR Giung Nam, Byeongho Heo, Juho Lee
2024	A*	`conf`	Model Fusion through Bayesian Optimization in Language Model Fine-Tuning. NeurIPS Chaeyun Jang, Hyungi Lee, Jungtaek Kim, Juho Lee
2024	J	`jnl`	Model Fusion through Bayesian Optimization in Language Model Fine-Tuning. CoRR Chaeyun Jang, Hyungi Lee, Jungtaek Kim, Juho Lee
2024	—	`conf`	Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion. ECCV (67) Sanghyun Kim, Seohyeon Jung, Balhae Kim, Moonseok Choi, Jinwoo Shin, Juho Lee
2024	J	`jnl`	Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion. CoRR Sanghyun Kim, Seohyeon Jung, Balhae Kim, Moonseok Choi, Jinwoo Shin, Juho Lee
2024	J	`jnl`	Safety Alignment Backfires: Preventing the Re-emergence of Suppressed Concepts in Fine-tuned Text-to-Image Diffusion Models. CoRR Sanghyun Kim, Moonseok Choi, Jinwoo Shin, Juho Lee
2024	A*	`conf`	Self-Supervised Dataset Distillation for Transfer Learning. ICLR Dong Bok Lee, Seanie Lee, Joonho Ko, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
2024	J	`jnl`	Sequential Flow Straightening for Generative Modeling. CoRR Jongmin Yoon, Juho Lee
2024	A*	`conf`	Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning. ICLR Moonseok Choi, Hyungi Lee, Giung Nam, Juho Lee
2024	A*	`conf`	Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs. AAAI Dongjin Lee, Juho Lee, Kijung Shin
2024	A*	`conf`	Stochastic Optimal Control for Diffusion Bridges in Function Spaces. NeurIPS Byoungwoo Park, Jungwon Choi, Sungbin Lim, Juho Lee
2024	J	`jnl`	Stochastic Optimal Control for Diffusion Bridges in Function Spaces. CoRR Byoungwoo Park, Jungwon Choi, Sungbin Lim, Juho Lee
2024	A*	`conf`	Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts. ICML Hyunsu Kim, Yegon Kim, Hongseok Yang, Juho Lee
2024	J	`jnl`	Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts. CoRR Hyunsu Kim, Yegon Kim, Hongseok Yang, Juho Lee
2023	J	`jnl`	A Generative Self-Supervised Framework using Functional Connectivity in fMRI Data. CoRR Jungwon Choi, Seongho Keum, EungGu Yun, Byung-Hoon Kim, Juho Lee
2023	A*	`conf`	A Simple Yet Powerful Deep Active Learning With Snapshots Ensembles. ICLR Seohyeon Jung, Sanghyun Kim, Juho Lee
2023	A*	`conf`	Decoupled Training for Long-Tailed Classification With Stochastic Representations. ICLR Giung Nam, Sunguk Jang, Juho Lee
2023	J	`jnl`	Decoupled Training for Long-Tailed Classification With Stochastic Representations. CoRR Giung Nam, Sunguk Jang, Juho Lee
2023	J	`jnl`	Deep Neural Networks with Dependent Weights: Gaussian Process Mixture Limit, Heavy Tails, Sparsity and Compressibility. J. Mach. Learn. Res. Hoil Lee, Fadhel Ayed, Paul Jung, Juho Lee, Hongseok Yang, Francois Caron
2023	A*	`conf`	Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders. ICLR Youngwan Lee, Jeffrey Ryan Willette, Jonghee Kim, Juho Lee, Sung Ju Hwang
2023	A*	`conf`	Function Space Bayesian Pseudocoreset for Bayesian Neural Networks. NeurIPS Balhae Kim, Hyungi Lee, Juho Lee
2023	J	`jnl`	Function Space Bayesian Pseudocoreset for Bayesian Neural Networks. CoRR Balhae Kim, Hyungi Lee, Juho Lee
2023	J	`jnl`	Large-scale Graph Representation Learning of Dynamic Brain Connectome with Transformers. CoRR Byung-Hoon Kim, Jungwon Choi, EungGu Yun, Kyungsang Kim, Xiang Li, Juho Lee
2023	A*	`conf`	Martingale Posterior Neural Processes. ICLR Hyungi Lee, EungGu Yun, Giung Nam, Edwin Fong, Juho Lee
2023	J	`jnl`	Martingale Posterior Neural Processes. CoRR Hyungi Lee, EungGu Yun, Giung Nam, Edwin Fong, Juho Lee
2023	—	`conf`	Modeling Uplift from Observational Time-Series in Continual Scenarios. AAAI Bridge Program Sanghyun Kim, Jungwon Choi, Namhee Kim, Jaesung Ryu, Juho Lee
2023	J	`jnl`	Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning. CoRR Francois Caron, Fadhel Ayed, Paul Jung, Hoil Lee, Juho Lee, Hongseok Yang
2023	A*	`conf`	Probabilistic Imputation for Time-series Classification with Missing Data. ICML Seunghyun Kim, Hyunsu Kim, EungGu Yun, Hwangrae Lee, Jaehun Lee, Juho Lee
2023	J	`jnl`	Probabilistic Imputation for Time-series Classification with Missing Data. CoRR Seunghyun Kim, Hyunsu Kim, EungGu Yun, Hwangrae Lee, Jaehun Lee, Juho Lee
2023	A*	`conf`	Regularizing Towards Soft Equivariance Under Mixed Symmetries. ICML Hyunsu Kim, Hyungi Lee, Hongseok Yang, Juho Lee
2023	J	`jnl`	Regularizing Towards Soft Equivariance Under Mixed Symmetries. CoRR Hyunsu Kim, Hyungi Lee, Hongseok Yang, Juho Lee
2023	J	`jnl`	SWAMP: Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning. CoRR Moonseok Choi, Hyungi Lee, Giung Nam, Juho Lee
2023	A*	`conf`	Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation. ICML Jeffrey Willette, Seanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
2023	A*	`conf`	Self-Distillation for Further Pre-training of Transformers. ICLR Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi
2023	J	`jnl`	Self-Supervised Dataset Distillation for Transfer Learning. CoRR Dong Bok Lee, Seanie Lee, Joonho Ko, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
2023	J	`jnl`	Slot-Mixup with Subsampling: A Simple Regularization for WSI Classification. CoRR Seongho Keum, Sanghyun Kim, Soojeong Lee, Juho Lee
2023	J	`jnl`	Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs. CoRR Dongjin Lee, Juho Lee, Kijung Shin
2023	J	`jnl`	Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models. CoRR Sanghyun Kim, Seohyeon Jung, Balhae Kim, Moonseok Choi, Jinwoo Shin, Juho Lee
2023	A*	`conf`	Traversing Between Modes in Function Space for Fast Ensembling. ICML EungGu Yun, Hyungi Lee, Giung Nam, Juho Lee
2023	J	`jnl`	Traversing Between Modes in Function Space for Fast Ensembling. CoRR EungGu Yun, Hyungi Lee, Giung Nam, Juho Lee
2022	J	`jnl`	Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility. CoRR Hoil Lee, Fadhel Ayed, Paul Jung, Juho Lee, Hongseok Yang, François Caron
2022	J	`jnl`	Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders. CoRR Youngwan Lee, Jeffrey Willette, Jonghee Kim, Juho Lee, Sung Ju Hwang
2022	A*	`conf`	Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation. ICML Giung Nam, Hyungi Lee, Byeongho Heo, Juho Lee
2022	J	`jnl`	Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation. CoRR Giung Nam, Hyungi Lee, Byeongho Heo, Juho Lee
2022	A*	`conf`	Meta Learning Low Rank Covariance Factors for Energy Based Deterministic Uncertainty. ICLR Jeffrey Ryan Willette, Hae Beom Lee, Juho Lee, Sung Ju Hwang
2022	A*	`conf`	On Divergence Measures for Bayesian Pseudocoresets. NeurIPS Balhae Kim, Jungwon Choi, Seanie Lee, Yoonho Lee, Jung-Woo Ha, Juho Lee
2022	J	`jnl`	On Divergence Measures for Bayesian Pseudocoresets. CoRR Balhae Kim, Jungwon Choi, Seanie Lee, Yoonho Lee, Jung-Woo Ha, Juho Lee
2022	A*	`conf`	Scale Mixtures of Neural Network Gaussian Processes. ICLR Hyungi Lee, EungGu Yun, Hongseok Yang, Juho Lee
2022	J	`jnl`	Self-Distillation for Further Pre-training of Transformers. CoRR Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi
2022	A*	`conf`	Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning. ICLR Seanie Lee, Haebeom Lee, Juho Lee, Sung Ju Hwang
2022	A*	`conf`	Set Based Stochastic Subsampling. ICML Bruno Andreis, Seanie Lee, Tuan A. Nguyen, Juho Lee, Eunho Yang, Sung Ju Hwang
2022	A*	`conf`	Set-based Meta-Interpolation for Few-Task Meta-Learning. NeurIPS Seanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
2022	J	`jnl`	Set-based Meta-Interpolation for Few-Task Meta-Learning. CoRR Seanie Lee, Andreis Bruno, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
2022	J	`jnl`	Universal Mini-Batch Consistency for Set Encoding Functions. CoRR Jeffrey Willette, Andreis Bruno, Juho Lee, Sung Ju Hwang
2021	A*	`conf`	A Multi-Mode Modulator for Multi-Domain Few-Shot Classification. ICCV Yanbin Liu, Juho Lee, Linchao Zhu, Ling Chen, Humphrey Shi, Yi Yang
2021	A*	`conf`	Adversarial Purification with Score-based Generative Models. ICML Jongmin Yoon, Sung Ju Hwang, Juho Lee
2021	J	`jnl`	Adversarial purification with Score-based generative models. CoRR Jongmin Yoon, Sung Ju Hwang, Juho Lee
2021	A*	`conf`	Diversity Matters When Learning From Ensembles. NeurIPS Giung Nam, Jongmin Yoon, Yoonho Lee, Juho Lee
2021	J	`jnl`	Diversity Matters When Learning From Ensembles. CoRR Giung Nam, Jongmin Yoon, Yoonho Lee, Juho Lee
2021	J	`jnl`	Hybrid Generative-Contrastive Representation Learning. CoRR Saehoon Kim, Sungwoong Kim, Juho Lee
2021	J	`jnl`	Improving Uncertainty Calibration via Prior Augmented Data. CoRR Jeffrey Willette, Juho Lee, Sung Ju Hwang
2021	—	`conf`	Learning to Perturb Word Embeddings for Out-of-distribution QA. ACL/IJCNLP (1) Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang
2021	J	`jnl`	Learning to Perturb Word Embeddings for Out-of-distribution QA. CoRR Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang
2021	J	`jnl`	Learning to Pool in Graph Neural Networks for Extrapolation. CoRR Jihoon Ko, Taehyung Kwon, Kijung Shin, Juho Lee
2021	J	`jnl`	Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty. CoRR Jeffrey Ryan Willette, Haebeom Lee, Juho Lee, Sung Ju Hwang
2021	A*	`conf`	Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding. NeurIPS Andreis Bruno, Jeffrey Willette, Juho Lee, Sung Ju Hwang
2021	J	`jnl`	Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding. CoRR Andreis Bruno, Jeffrey Willette, Juho Lee, Sung Ju Hwang
2021	J	`jnl`	Scale Mixtures of Neural Network Gaussian Processes. CoRR Hyungi Lee, EungGu Yun, Hongseok Yang, Juho Lee
2021	J	`jnl`	Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning. CoRR Seanie Lee, Haebeom Lee, Juho Lee, Sung Ju Hwang
2021	A*	`conf`	SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data. CVPR Jinwoo Kim, Jaehoon Yoo, Juho Lee, Seunghoon Hong
2021	J	`jnl`	SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data. CoRR Jinwoo Kim, Jaehoon Yoo, Juho Lee, Seunghoon Hong
2020	J	`jnl`	Attentive Clustering Processes. CoRR Ari Pakman, Yueqi Wang, Yoonho Lee, Pallab Basu, Juho Lee, Yee Whye Teh, Liam Paninski
2020	J	`jnl`	Bootstrapping Neural Processes. CoRR Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh
2020	A*	`conf`	Bootstrapping neural processes. NeurIPS Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh
2020	A*	`conf`	Cost-Effective Interactive Attention Learning with Neural Attention Processes. ICML Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang, Sung Ju Hwang
2020	J	`jnl`	Cost-effective Interactive Attention Learning with Neural Attention Processes. CoRR Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang, Sung Ju Hwang
2020	A*	`conf`	Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare. AAAI Ingyo Chung, Saehoon Kim, Juho Lee, Kwang Joon Kim, Sung Ju Hwang, Eunho Yang
2020	A*	`conf`	Neural Complexity Measures. NeurIPS Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi
2020	J	`jnl`	Neural Complexity Measures. CoRR Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi
2020	J	`jnl`	Stochastic Subset Selection. CoRR Tuan A. Nguyen, Andreis Bruno, Juho Lee, Eunho Yang, Sung Ju Hwang
2019	A	`conf`	A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure. AISTATS Juho Lee, Lancelot F. James, Seungjin Choi, Francois Caron
2019	J	`jnl`	A unified construction for series representations and finite approximations of completely random measures. CoRR Juho Lee, Xenia Miscouridou, François Caron
2019	J	`jnl`	Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with Double Power-law Behavior. CoRR Fadhel Ayed, Juho Lee, François Caron
2019	A*	`conf`	Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior. ICML Fadhel Ayed, Juho Lee, Francois Caron
2019	J	`jnl`	Deep Amortized Clustering. CoRR Juho Lee, Yoonho Lee, Yee Whye Teh
2019	J	`jnl`	Graph Embedding VAE: A Permutation Invariant Model of Graph Structure. CoRR Tony Duan, Juho Lee
2019	—	`conf`	Learning to Propagate Labels: Transductive Propagation Network for Few-Shot Learning. ICLR (Poster) Yanbin Liu, Juho Lee, Minseop Park, Saehoon Kim, Eunho Yang, Sung Ju Hwang, Yi Yang
2019	A*	`conf`	Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks. ICML Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, Yee Whye Teh
2018	J	`jnl`	A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure. CoRR Juho Lee, Lancelot F. James, Seungjin Choi, François Caron
2018	J	`jnl`	Adaptive Network Sparsification via Dependent Variational Beta-Bernoulli Dropout. CoRR Juho Lee, Saehoon Kim, Jaehong Yoon, Haebeom Lee, Eunho Yang, Sung Ju Hwang
2018	A*	`conf`	DropMax: Adaptive Variational Softmax. NeurIPS Haebeom Lee, Juho Lee, Saehoon Kim, Eunho Yang, Sung Ju Hwang
2018	J	`jnl`	Mixed Effect Composite RNN-GP: A Personalized and Reliable Prediction Model for Healthcare. CoRR Ingyo Chung, Saehoon Kim, Juho Lee, Sung Ju Hwang, Eunho Yang
2018	J	`jnl`	Set Transformer. CoRR Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, Yee Whye Teh
2018	J	`jnl`	Transductive Propagation Network for Few-shot Learning. CoRR Yanbin Liu, Juho Lee, Minseop Park, Saehoon Kim, Yi Yang
2018	A*	`conf`	Uncertainty-Aware Attention for Reliable Interpretation and Prediction. NeurIPS Jay Heo, Haebeom Lee, Saehoon Kim, Juho Lee, Kwang Joon Kim, Eunho Yang, Sung Ju Hwang
2018	J	`jnl`	Uncertainty-Aware Attention for Reliable Interpretation and Prediction. CoRR Jay Heo, Haebeom Lee, Saehoon Kim, Juho Lee, Kwang Joon Kim, Eunho Yang, Sung Ju Hwang
2017	A*	`conf`	Bayesian inference on random simple graphs with power law degree distributions. ICML Juho Lee, Creighton Heaukulani, Zoubin Ghahramani, Lancelot F. James, Seungjin Choi
2017	J	`jnl`	DropMax: Adaptive Stochastic Softmax. CoRR Haebeom Lee, Juho Lee, Eunho Yang, Sung Ju Hwang
2016	—	`conf`	Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models. NIPS Juho Lee, Lancelot F. James, Seungjin Choi
2015	A	`conf`	Bayesian Hierarchical Clustering with Exponential Family: Small-Variance Asymptotics and Reducibility. AISTATS Juho Lee, Seungjin Choi
2015	J	`jnl`	Bayesian Hierarchical Clustering with Exponential Family: Small-Variance Asymptotics and Reducibility. CoRR Juho Lee, Seungjin Choi
2015	—	`conf`	Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models. NIPS Juho Lee, Seungjin Choi
2015	J	`jnl`	Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models. CoRR Juho Lee, Seungjin Choi
2014	A	`conf`	Incremental Tree-Based Inference with Dependent Normalized Random Measures. AISTATS Juho Lee, Seungjin Choi
2012	—	`conf`	Online Video Segmentation by Bayesian Split-Merge Clustering. ECCV (4) Juho Lee, Suha Kwak, Bohyung Han, Seungjin Choi