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AHN, SUNGSOO(안성수) orcid researcherid research gate google scholar scopus

Department: Grad. School of AI(인공지능대학원)

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Publication & Time Cited Count (For the Last 5 years)

Results 1-20 of 23 (Search time: 0.001 seconds).

Conference

A Simple and Scalable Representation for Graph Generation

International Conference on Learning Representations (ICLR), 2024-05-11

Conference

Hierarchical Graph Generation with K^2 Trees

International Conference on Learning Representation (ICLR), 2024-05-11

Conference

Learning Energy Decompositions for Partial Inference of GFlowNets

International Conference on Learning Representation, 2024-05-11

Conference

Local Search GFlowNets

International Conference on Learning Representation (ICLR), 2024-05-11

Conference

Diffusion Probabilistic Models for Structured Node Classification

Neural Information Processing Systems (NeurIPS), 2023-12-16

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Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences

Neural Information Processing Systems (NeurIPS), 2023-12-16

Conference

Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion

Neural Information Processing Systems (NeurIPS), 2023-12-15

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Triplet Edge Attention for Algorithmic Reasoning

Learning on Graph (LoG), 2023-11-30

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Imitating Graph-Based Planning with Goal-Conditioned Policies

International Conference on Learning Representation (ICLR), 2023-05-01

Conference

A Closer Look at the Intervention Procedure of Concept Bottleneck Models

Conference on Neural Information Processing Systems, 2022-12-09

Conference

Substructure-Atom Cross Attention for Molecular Representation Learning

NeurIPS workshop on AI for Science, 2022-12-03

Conference

Learning Debiased Classifier with Biased Committee

Conference on Neural Information Processing Systems (NIPS), 2022-12-01

Conference

Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning

International Conference of Machine Learning, 2022-07-17

Conference

What Makes Better Augmentation Strategies? Augment Difficult but Not too Different

International Conference on Learning Representation (ICLR), 2022-04-25

Conference

Learning from failure: Training debiased classifier from biased classifier

34th Conference on Neural Information Processing Systems, NeurIPS 2020, 2020-12

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Guiding deep molecular optimization with genetic exploration

34th Conference on Neural Information Processing Systems, NeurIPS 2020, 2020-12

Conference

Learning what to defer for maximum independent sets

37th International Conference on Machine Learning, ICML 2020, page. 122 - 132, 2020-06

Conference

Variational information distillation for knowledge transfer

32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019, page. 9155 - 9163, 2019-06

Conference

Bucket renormalization for approximate inference

35th International Conference on Machine Learning, ICML 2018, page. 183 - 193, 2018-06

Conference

Gauged mini-bucket elimination for approximate inference

21st International Conference on Artificial Intelligence and Statistics, AISTATS 2018, page. 10 - 19, 2018-04

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