Sungsoo Ahn

According to our database, Sungsoo Ahn authored at least 66 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Holistic Molecular Representation Learning via Multi-view Fragmentation.

Seojin Kim, Jaehyun Nam, Junsu Kim, Hankook Lee, Sungsoo Ahn, Jinwoo Shin

Trans. Mach. Learn. Res., 2024

MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks.

Nayoung Kim, Seongsu Kim, Minsu Kim, Jinkyoo Park, Sungsoo Ahn

CoRR, 2024

REBIND: Enhancing ground-state molecular conformation via force-based graph rewiring.

Taewon Kim, Hyunjin Seo, Sungsoo Ahn, Eunho Yang

CoRR, 2024

Chain-of-Thoughts for Molecular Understanding.

Yunhui Jang, Jaehyung Kim, Sungsoo Ahn

CoRR, 2024

Generative Flows on Synthetic Pathway for Drug Design.

Seonghwan Seo, Minsu Kim, Tony Shen, Martin Ester, Jinkyoo Park, Sungsoo Ahn, Woo Youn Kim

CoRR, 2024

Can LLMs Generate Diverse Molecules? Towards Alignment with Structural Diversity.

Hyosoon Jang, Yunhui Jang, Jaehyung Kim, Sungsoo Ahn

CoRR, 2024

Adaptive teachers for amortized samplers.

Minsu Kim, Sanghyeok Choi, Taeyoung Yun, Emmanuel Bengio, Leo Feng, Jarrid Rector-Brooks, Sungsoo Ahn, Jinkyoo Park, Nikolay Malkin, Yoshua Bengio

CoRR, 2024

Iterated Energy-based Flow Matching for Sampling from Boltzmann Densities.

Dongyeop Woo, Sungsoo Ahn

CoRR, 2024

Collective Variable Free Transition Path Sampling with Generative Flow Network.

Kiyoung Seong, Seonghyun Park, Seonghwan Kim, Woo Youn Kim, Sungsoo Ahn

CoRR, 2024

Pessimistic Backward Policy for GFlowNets.

Hyosoon Jang, Yunhui Jang, Minsu Kim, Jinkyoo Park, Sungsoo Ahn

CoRR, 2024

Differentiation of glioblastoma from solitary brain metastasis using deep ensembles: Empirical estimation of uncertainty for clinical reliability.

Yae Won Park, Sujeong Eom, Seungwoo Kim, Sungbin Lim, Ji Eun Park, Ho Sung Kim, Seng Chan You, Sungsoo Ahn, Seung-Koo Lee

Comput. Methods Programs Biomed., 2024

Controllable Text-to-Image Synthesis for Multi-Modality MR Images.

Kyuri Kim, Yoonho Na, Sung-Joon Ye, Jimin Lee, Sungsoo Ahn, Ji Eun Park, Hwiyoung Kim

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost.

Jaeseung Heo, Seungbeom Lee, Sungsoo Ahn, Dongwoo Kim

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Breadth-First Exploration on Adaptive Grid for Reinforcement Learning.

Youngsik Yoon, Gangbok Lee, Sungsoo Ahn, Jungseul Ok

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization.

Hyeonah Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization.

Nayeong Kim, Juwon Kang, Sungsoo Ahn, Jungseul Ok, Suha Kwak

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Hybrid Neural Representations for Spherical Data.

Hyomin Kim, Yunhui Jang, Jaeho Lee, Sungsoo Ahn

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Gaussian Plane-Wave Neural Operator for Electron Density Estimation.

Seongsu Kim, Sungsoo Ahn

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More.

Fanchen Bu, Hyeonsoo Jo, Soo Yong Lee, Sungsoo Ahn, Kijung Shin

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Local Search GFlowNets.

Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Simple and Scalable Representation for Graph Generation.

Yunhui Jang, Seul Lee, Sungsoo Ahn

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Graph Generation with K2-trees.

Yunhui Jang, Dongwoo Kim, Sungsoo Ahn

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning Energy Decompositions for Partial Inference in GFlowNets.

Hyosoon Jang, Minsu Kim, Sungsoo Ahn

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Triplet Edge Attention for Algorithmic Reasoning.

Yeonjoon Jung, Sungsoo Ahn

CoRR, 2023

Non-backtracking Graph Neural Networks.

Seonghyun Park, Narae Ryu, Gahee Kim, Dongyeop Woo, Se-Young Yun, Sungsoo Ahn

CoRR, 2023

Symmetric Exploration in Combinatorial Optimization is Free!

Hyeonah Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park

CoRR, 2023

Hierarchical Graph Generation with K²-trees.

Yunhui Jang, Dongwoo Kim, Sungsoo Ahn

CoRR, 2023

Diffusion Probabilistic Models for Graph-Structured Prediction.

Hyosoon Jang, Sangwoo Mo, Sungsoo Ahn

CoRR, 2023

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

Minsu Kim, Federico Berto, Sungsoo Ahn, Jinkyoo Park

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Diffusion Probabilistic Models for Structured Node Classification.

Hyosoon Jang, Seonghyun Park, Sangwoo Mo, Sungsoo Ahn

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Hyuna Cho, Minjae Jeong, Sooyeon Jeon, Sungsoo Ahn, Won Hwa Kim

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Closer Look at the Intervention Procedure of Concept Bottleneck Models.

Sungbin Shin, Yohan Jo, Sungsoo Ahn, Namhoon Lee

Proceedings of the International Conference on Machine Learning, 2023

Imitating Graph-Based Planning with Goal-Conditioned Policies.

Junsu Kim, Younggyo Seo, Sungsoo Ahn, Kyunghwan Son, Jinwoo Shin

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Substructure-Atom Cross Attention for Molecular Representation Learning.

Jiye Kim, Seungbeom Lee, Dongwoo Kim, Sungsoo Ahn, Jaesik Park

CoRR, 2022

Learning Debiased Classifier with Biased Committee.

Nayeong Kim, Sehyun Hwang, Sungsoo Ahn, Jaesik Park, Suha Kwak

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning.

Kyunghwan Son, Junsu Kim, Sungsoo Ahn, Roben Delos Reyes, Yung Yi, Jinwoo Shin

Proceedings of the International Conference on Machine Learning, 2022

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

Jaehyung Kim, Dongyeop Kang, Sungsoo Ahn, Jinwoo Shin

Proceedings of the Tenth International Conference on Learning Representations, 2022

Spanning Tree-based Graph Generation for Molecules.

Sungsoo Ahn, Binghong Chen, Tianzhe Wang, Le Song

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Abstract Reasoning via Logic-guided Generation.

Sihyun Yu, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin

CoRR, 2021

RoMA: Robust Model Adaptation for Offline Model-based Optimization.

Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning.

Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Eunho Yang, Sung Ju Hwang, Jinwoo Shin

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Self-Improved Retrosynthetic Planning.

Junsu Kim, Sungsoo Ahn, Hankook Lee, Jinwoo Shin

Proceedings of the 38th International Conference on Machine Learning, 2021

Layer-adaptive Sparsity for the Magnitude-based Pruning.

Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

A Deeper Look at the Layerwise Sparsity of Magnitude-based Pruning.

Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin

CoRR, 2020

Learning from Failure: Training Debiased Classifier from Biased Classifier.

Jun Hyun Nam, Hyuntak Cha, Sungsoo Ahn, Jaeho Lee, Jinwoo Shin

CoRR, 2020

QOPT: Optimistic Value Function Decentralization for Cooperative Multi-Agent Reinforcement Learning.

Kyunghwan Son, Sungsoo Ahn, Roben Delos Reyes, Jinwoo Shin, Yung Yi

CoRR, 2020

Learning from Failure: De-biasing Classifier from Biased Classifier.

Jun Hyun Nam, Hyuntak Cha, Sungsoo Ahn, Jaeho Lee, Jinwoo Shin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Guiding Deep Molecular Optimization with Genetic Exploration.

Sungsoo Ahn, Junsu Kim, Hankook Lee, Jinwoo Shin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Differentiation of Recurrent Glioblastoma from Radiation Necrosis Using Diffusion Radiomics: Machine Learning Model Development and External Validation.

Yae Won Park, Ji Eun Park, Sungsoo Ahn, Hwiyoung Kim, Ho Sung Kim, Seung-Koo Lee

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

Learning What to Defer for Maximum Independent Sets.

Sungsoo Ahn, Younggyo Seo, Jinwoo Shin

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Variational Information Distillation for Knowledge Transfer.

Sungsoo Ahn, Shell Xu Hu, Andreas C. Damianou, Neil D. Lawrence, Zhenwen Dai

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Maximum Weight Matching Using Odd-Sized Cycles: Max-Product Belief Propagation and Half-Integrality.

Sungsoo Ahn, Michael Chertkov, Andrew E. Gelfand, Sejun Park, Jinwoo Shin

IEEE Trans. Inf. Theory, 2018

Bucket Renormalization for Approximate Inference.

Sungsoo Ahn, Michael Chertkov, Adrian Weller, Jinwoo Shin

Proceedings of the 35th International Conference on Machine Learning, 2018

Gauged Mini-Bucket Elimination for Approximate Inference.

Sungsoo Ahn, Michael Chertkov, Jinwoo Shin, Adrian Weller

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Gauging Variational Inference.

Sungsoo Ahn, Michael Chertkov, Jinwoo Shin

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

MCMC assisted by Belief Propagaion.

Sungsoo Ahn, Michael Chertkov, Jinwoo Shin

CoRR, 2016

Synthesis of MCMC and Belief Propagation.

Sungsoo Ahn, Michael Chertkov, Jinwoo Shin

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Minimum Weight Perfect Matching via Blossom Belief Propagation.

Sungsoo Ahn, Sejun Park, Michael Chertkov, Jinwoo Shin

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2012

Effective DDoS attack defense scheme using web service performance measurement.

Namkyun Baik, Sungsoo Ahn, Namhi Kang

Proceedings of the Fourth International Conference on Ubiquitous and Future Networks, 2012

2011

A Study on Hierarchical Policy Model for Managing Heterogeneous Security Systems.

Dong-Young Lee, Sungsoo Ahn, Minsoo Kim

Proceedings of the Computational Science and Its Applications - ICCSA 2011, 2011

Performance Analysis of MIMO System Utilizing the Detection Algorithm.

Sungsoo Ahn, Dong-Young Lee

Proceedings of the Computational Science and Its Applications - ICCSA 2011, 2011

2006

Design of CIC roll-off compensation filter in a W-CDMA digital IF receiver.

Seongdo Kim, Weon-Cheol Lee, Sungsoo Ahn, Seungwon Choi

Digit. Signal Process., 2006

Performance Analysis Using the Two Kinds of Receiving Gain of Smart Antenna in IS20001X System.

Sungsoo Ahn, Minsoo Kim, Jungsuk Lee

Proceedings of the Computational Science and Its Applications, 2006

2005

On-Off Beamforming Algorithm Based on Eigen-Space Method for a Smart Antenna in IS-2000 1X Signal Environments.

Zhengzi Li, Weon-Cheol Lee, Sungsoo Ahn, Seungwon Choi

IEICE Trans. Commun., 2005

Performance Analysis of a Antenna Array System Using a New Beamforming Algorithm in the CDMA2000 1X Wireless Communication.

Sungsoo Ahn, Minsoo Kim, Jungsuk Lee, Dong-Young Lee

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

2001

A novel on-off algorithm for smart antenna system operating in IMT2000 mobile communications.

Zhengzi Li, Sungsoo Ahn, Seungwon Choi

Proceedings of the 54th IEEE Vehicular Technology Conference, 2001