Juho Lee
Affiliations:- KAIST, Daejeon, South Korea
- AITRICS
- University of Oxford, UK (former)
- Pohang University of Science and Technology, South Korea (former)
According to our database1,
Juho Lee
authored at least 67 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
CoRR, 2024
Joint-Embedding Masked Autoencoder for Self-supervised Learning of Dynamic Functional Connectivity from the Human Brain.
CoRR, 2024
Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Large-scale Graph Representation Learning of Dynamic Brain Connectome with Transformers.
CoRR, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
SWAMP: Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning.
CoRR, 2023
Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the AAAI Bridge Program on Continual Causality, 2023
2022
Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Meta Learning Low Rank Covariance Factors for Energy Based Deterministic Uncertainty.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
A unified construction for series representations and finite approximations of completely random measures.
CoRR, 2019
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019
Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior.
Proceedings of the 36th International Conference on Machine Learning, 2019
Learning to Propagate Labels: Transductive Propagation Network for Few-Shot Learning.
Proceedings of the 7th International Conference on Learning Representations, 2019
A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
Mixed Effect Composite RNN-GP: A Personalized and Reliable Prediction Model for Healthcare.
CoRR, 2018
CoRR, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
2017
Proceedings of the 34th International Conference on Machine Learning, 2017
2016
Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Bayesian Hierarchical Clustering with Exponential Family: Small-Variance Asymptotics and Reducibility.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
2014
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
2012
Proceedings of the Computer Vision - ECCV 2012, 2012