Sungsoo Ahn

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 60

Top Topics

Belief Propagation

Approximate Inference

Bucket Elimination

Top Venues

Publications

Hyosoon Jang, Minsu Kim, Sungsoo Ahn
Learning Energy Decompositions for Partial Inference in GFlowNets. ICLR (2024)
Hyomin Kim, Yunhui Jang, Jaeho Lee, Sungsoo Ahn
Hybrid Neural Representations for Spherical Data. CoRR (2024)
Yunhui Jang, Seul Lee, Sungsoo Ahn
A Simple and Scalable Representation for Graph Generation. ICLR (2024)
Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park
Local Search GFlowNets. ICLR (2024)
Yunhui Jang, Dongwoo Kim, Sungsoo Ahn
Graph Generation with K2-trees. ICLR (2024)
Fanchen Bu, Hyeonsoo Jo, Soo Yong Lee, Sungsoo Ahn, Kijung Shin
Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More. CoRR (2024)
Kyuri Kim, Yoonho Na, Sung-Joon Ye, Jimin Lee, Sungsoo Ahn, Ji Eun Park, Hwiyoung Kim
Controllable Text-to-Image Synthesis for Multi-Modality MR Images. WACV (2024)
Hyosoon Jang, Yunhui Jang, Minsu Kim, Jinkyoo Park, Sungsoo Ahn
Pessimistic Backward Policy for GFlowNets. CoRR (2024)
Seongsu Kim, Sungsoo Ahn
Gaussian Plane-Wave Neural Operator for Electron Density Estimation. CoRR (2024)
Seojin Kim, Jaehyun Nam, Junsu Kim, Hankook Lee, Sungsoo Ahn, Jinwoo Shin
Holistic Molecular Representation Learning via Multi-view Fragmentation. Trans. Mach. Learn. Res. 2024 (2024)
Yae Won Park, Sujeong Eom, Seungwoo Kim, Sungbin Lim, Ji Eun Park, Ho Sung Kim, Seng Chan You, Sungsoo Ahn, Seung-Koo Lee
Differentiation of glioblastoma from solitary brain metastasis using deep ensembles: Empirical estimation of uncertainty for clinical reliability. Comput. Methods Programs Biomed. 254 (2024)
Kiyoung Seong, Seonghyun Park, Seonghwan Kim, Woo Youn Kim, Sungsoo Ahn
Collective Variable Free Transition Path Sampling with Generative Flow Network. CoRR (2024)
Hyeonah Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park
Symmetric Exploration in Combinatorial Optimization is Free! CoRR (2023)
Sungsoo Ahn
Diffusion Probabilistic Models for Graph-Structured Prediction. CoRR (2023)
Yeonjoon Jung, Sungsoo Ahn
Triplet Edge Attention for Algorithmic Reasoning. CoRR (2023)
Sungbin Shin, Yohan Jo, Sungsoo Ahn, Namhoon Lee
A Closer Look at the Intervention Procedure of Concept Bottleneck Models. CoRR (2023)
Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park
Local Search GFlowNets. CoRR (2023)
Jaeseung Heo, Seungbeom Lee, Sungsoo Ahn, Dongwoo Kim
EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost. CoRR (2023)
Sungbin Shin, Yohan Jo, Sungsoo Ahn, Namhoon Lee
A Closer Look at the Intervention Procedure of Concept Bottleneck Models. ICML (2023)
Junsu Kim, Younggyo Seo, Sungsoo Ahn, Kyunghwan Son, Jinwoo Shin
Imitating Graph-Based Planning with Goal-Conditioned Policies. CoRR (2023)
Junsu Kim, Younggyo Seo, Sungsoo Ahn, Kyunghwan Son, Jinwoo Shin
Imitating Graph-Based Planning with Goal-Conditioned Policies. ICLR (2023)
Hyosoon Jang, Seonghyun Park, Sangwoo Mo, Sungsoo Ahn
Diffusion Probabilistic Models for Structured Node Classification. NeurIPS (2023)
Yunhui Jang, Dongwoo Kim, Sungsoo Ahn
-trees. CoRR (2023)
Seonghyun Park, Narae Ryu, Gahee Kim, Dongyeop Woo, Se-Young Yun, Sungsoo Ahn
Non-backtracking Graph Neural Networks. CoRR (2023)
Minsu Kim, Federico Berto, Sungsoo Ahn, Jinkyoo Park
Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences. NeurIPS (2023)
Hyuna Cho, Minjae Jeong, Sooyeon Jeon, Sungsoo Ahn, Won Hwa Kim
Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion. NeurIPS (2023)
Minsu Kim, Federico Berto, Sungsoo Ahn, Jinkyoo Park
Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences. CoRR (2023)
Yunhui Jang, Seul Lee, Sungsoo Ahn
A Simple and Scalable Representation for Graph Generation. CoRR (2023)
Hyosoon Jang, Minsu Kim, Sungsoo Ahn
Learning Energy Decompositions for Partial Inference of GFlowNets. CoRR (2023)
Nayeong Kim, Sehyun Hwang, Sungsoo Ahn, Jaesik Park, Suha Kwak
Learning Debiased Classifier with Biased Committee. CoRR (2022)
Jaehyung Kim, Dongyeop Kang, Sungsoo Ahn, Jinwoo Shin
What Makes Better Augmentation Strategies? Augment Difficult but Not too Different. ICLR (2022)
Kyunghwan Son, Junsu Kim, Sungsoo Ahn, Roben Delos Reyes, Yung Yi, Jinwoo Shin
Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning. ICML (2022)
Sungsoo Ahn, Binghong Chen, Tianzhe Wang, Le Song
Spanning Tree-based Graph Generation for Molecules. ICLR (2022)
Jiye Kim, Seungbeom Lee, Dongwoo Kim, Sungsoo Ahn, Jaesik Park
Substructure-Atom Cross Attention for Molecular Representation Learning. CoRR (2022)
Nayeong Kim, Sehyun Hwang, Sungsoo Ahn, Jaesik Park, Suha Kwak
Learning Debiased Classifier with Biased Committee. NeurIPS (2022)
Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning. IJCAI (2021)
Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin
RoMA: Robust Model Adaptation for Offline Model-based Optimization. CoRR (2021)
Junsu Kim, Sungsoo Ahn, Hankook Lee, Jinwoo Shin
Self-Improved Retrosynthetic Planning. CoRR (2021)
Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Sung Ju Hwang, Eunho Yang, Jinwoo Shin
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning. CoRR (2021)
Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin
RoMA: Robust Model Adaptation for Offline Model-based Optimization. NeurIPS (2021)
Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin
Layer-adaptive Sparsity for the Magnitude-based Pruning. ICLR (2021)
Junsu Kim, Sungsoo Ahn, Hankook Lee, Jinwoo Shin
Self-Improved Retrosynthetic Planning. ICML (2021)
Sihyun Yu, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin
Abstract Reasoning via Logic-guided Generation. CoRR (2021)
Yae Won Park, Ji Eun Park, Sungsoo Ahn, Hwiyoung Kim, Ho Sung Kim, Seung-Koo Lee
Differentiation of Recurrent Glioblastoma from Radiation Necrosis Using Diffusion Radiomics: Machine Learning Model Development and External Validation. MLCN/RNO-AI@MICCAI (2020)
Sungsoo Ahn, Younggyo Seo, Jinwoo Shin
Learning What to Defer for Maximum Independent Sets. ICML (2020)
Sungsoo Ahn, Junsu Kim, Hankook Lee, Jinwoo Shin
Guiding Deep Molecular Optimization with Genetic Exploration. NeurIPS (2020)
Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin
A Deeper Look at the Layerwise Sparsity of Magnitude-based Pruning. CoRR (2020)
Sungsoo Ahn, Younggyo Seo, Jinwoo Shin
Learning What to Defer for Maximum Independent Sets. CoRR (2020)
Jun Hyun Nam, Hyuntak Cha, Sungsoo Ahn, Jaeho Lee, Jinwoo Shin
Learning from Failure: Training Debiased Classifier from Biased Classifier. CoRR (2020)
Sungsoo Ahn, Junsu Kim, Hankook Lee, Jinwoo Shin
Guiding Deep Molecular Optimization with Genetic Exploration. CoRR (2020)
Jun Hyun Nam, Hyuntak Cha, Sungsoo Ahn, Jaeho Lee, Jinwoo Shin
Learning from Failure: De-biasing Classifier from Biased Classifier. NeurIPS (2020)
Kyunghwan Son, Sungsoo Ahn, Roben Delos Reyes, Jinwoo Shin, Yung Yi
QOPT: Optimistic Value Function Decentralization for Cooperative Multi-Agent Reinforcement Learning. CoRR (2020)
Sungsoo Ahn, Shell Xu Hu, Andreas C. Damianou, Neil D. Lawrence, Zhenwen Dai
Variational Information Distillation for Knowledge Transfer. CVPR (2019)
Sungsoo Ahn, Shell Xu Hu, Andreas C. Damianou, Neil D. Lawrence, Zhenwen Dai
Variational Information Distillation for Knowledge Transfer. CoRR (2019)
Sungsoo Ahn, Michael Chertkov, Jinwoo Shin, Adrian Weller
Gauged Mini-Bucket Elimination for Approximate Inference. AISTATS (2018)
Sungsoo Ahn, Michael Chertkov, Andrew E. Gelfand, Sejun Park, Jinwoo Shin
Maximum Weight Matching Using Odd-Sized Cycles: Max-Product Belief Propagation and Half-Integrality. IEEE Trans. Inf. Theory 64 (3) (2018)
Sungsoo Ahn, Michael Chertkov, Adrian Weller, Jinwoo Shin
Bucket Renormalization for Approximate Inference. ICML (2018)
Sungsoo Ahn, Michael Chertkov, Jinwoo Shin
Gauging Variational Inference. NIPS (2017)
Sungsoo Ahn, Michael Chertkov, Jinwoo Shin
Synthesis of MCMC and Belief Propagation. NIPS (2016)
Sungsoo Ahn, Michael Chertkov, Jinwoo Shin
MCMC assisted by Belief Propagaion. CoRR (2016)
Sungsoo Ahn, Sejun Park, Michael Chertkov, Jinwoo Shin
Minimum Weight Perfect Matching via Blossom Belief Propagation. CoRR (2015)
Sungsoo Ahn, Sejun Park, Michael Chertkov, Jinwoo Shin
Minimum Weight Perfect Matching via Blossom Belief Propagation. NIPS (2015)
Namkyun Baik, Sungsoo Ahn, Namhi Kang
Effective DDoS attack defense scheme using web service performance measurement. ICUFN (2012)
Sungsoo Ahn, Dong-Young Lee
Performance Analysis of MIMO System Utilizing the Detection Algorithm. ICCSA (4) (2011)
Dong-Young Lee, Sungsoo Ahn, Minsoo Kim
A Study on Hierarchical Policy Model for Managing Heterogeneous Security Systems. ICCSA (4) (2011)
Sungsoo Ahn, Minsoo Kim, Jungsuk Lee
Performance Analysis Using the Two Kinds of Receiving Gain of Smart Antenna in IS20001X System. ICCSA (5) (2006)
Seongdo Kim, Weon-Cheol Lee, Sungsoo Ahn, Seungwon Choi
Design of CIC roll-off compensation filter in a W-CDMA digital IF receiver. Digit. Signal Process. 16 (6) (2006)
Sungsoo Ahn, Minsoo Kim, Jungsuk Lee, Dong-Young Lee
Performance Analysis of a Antenna Array System Using a New Beamforming Algorithm in the CDMA2000 1X Wireless Communication. KES (2) (2005)
Zhengzi Li, Weon-Cheol Lee, Sungsoo Ahn, Seungwon Choi
On-Off Beamforming Algorithm Based on Eigen-Space Method for a Smart Antenna in IS-2000 1X Signal Environments. IEICE Trans. Commun. (12) (2005)
Zhengzi Li, Sungsoo Ahn, Seungwon Choi
A novel on-off algorithm for smart antenna system operating in IMT2000 mobile communications. VTC Fall (2001)