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Sungsoo Ahn
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2020 – today
- 2024
- [j5]Yae Won Park
, Sujeong Eom
Differentiation of glioblastoma from solitary brain metastasis using deep ensembles: Empirical estimation of uncertainty for clinical reliability. Comput. Methods Programs Biomed. 254: 108288 (2024) - [j4]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) - [c41]Hyosoon Jang, Minsu Kim, Sungsoo Ahn:
Learning Energy Decompositions for Partial Inference in GFlowNets. ICLR 2024 - [c40]Yunhui Jang, Dongwoo Kim, Sungsoo Ahn:
Graph Generation with K2-trees. ICLR 2024 - [c39]Yunhui Jang, Seul Lee, Sungsoo Ahn:
A Simple and Scalable Representation for Graph Generation. ICLR 2024 - [c38]Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park:
Local Search GFlowNets. ICLR 2024 - [c37]Fanchen Bu, Hyeonsoo Jo, Soo Yong Lee, Sungsoo Ahn, Kijung Shin:
Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More. ICML 2024 - [c36]Seongsu Kim, Sungsoo Ahn:
Gaussian Plane-Wave Neural Operator for Electron Density Estimation. ICML 2024 - [c35]Hyomin Kim, Yunhui Jang, Jaeho Lee, Sungsoo Ahn:
Hybrid Neural Representations for Spherical Data. ICML 2024 - [c34]Nayeong Kim, Juwon Kang, Sungsoo Ahn, Jungseul Ok, Suha Kwak:
Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization. ICML 2024 - [c33]Hyeonah Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park:
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization. ICML 2024 - [c32]Youngsik Yoon, Gangbok Lee, Sungsoo Ahn, Jungseul Ok:
Breadth-First Exploration on Adaptive Grid for Reinforcement Learning. ICML 2024 - [c31]Jaeseung Heo, Seungbeom Lee, Sungsoo Ahn, Dongwoo Kim:
EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost. IJCAI 2024: 4116-4126 - [c30]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: 7921-7930 - [e1]Sungsoo Ahn, Seonah Lee, Sajid Anwar:
Proceedings of the 2nd International Workshop on Intelligent Software Engineering co-located with the 30th Asia-Pacific Software Engineering Conference (APSEC 2023), Seoul, South Korea, December 4, 2023. CEUR Workshop Proceedings 3655, CEUR-WS.org 2024 [contents] - [i36]Seongsu Kim, Sungsoo Ahn:
Gaussian Plane-Wave Neural Operator for Electron Density Estimation. CoRR abs/2402.04278 (2024) - [i35]Hyomin Kim, Yunhui Jang, Jaeho Lee, Sungsoo Ahn:
Hybrid Neural Representations for Spherical Data. CoRR abs/2402.05965 (2024) - [i34]Fanchen Bu, Hyeonsoo Jo, Soo Yong Lee, Sungsoo Ahn, Kijung Shin:
Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More. CoRR abs/2405.08424 (2024) - [i33]Hyosoon Jang, Yunhui Jang, Minsu Kim, Jinkyoo Park, Sungsoo Ahn:
Pessimistic Backward Policy for GFlowNets. CoRR abs/2405.16012 (2024) - [i32]Kiyoung Seong, Seonghyun Park, Seonghwan Kim, Woo Youn Kim, Sungsoo Ahn:
Collective Variable Free Transition Path Sampling with Generative Flow Network. CoRR abs/2405.19961 (2024) - [i31]Dongyeop Woo, Sungsoo Ahn:
Iterated Energy-based Flow Matching for Sampling from Boltzmann Densities. CoRR abs/2408.16249 (2024) - [i30]Nayeong Kim, Juwon Kang, Sungsoo Ahn, Jungseul Ok, Suha Kwak:
Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization. CoRR abs/2409.03303 (2024) - [i29]Minsu Kim, Sanghyeok Choi, Taeyoung Yun, Emmanuel Bengio, Leo Feng, Jarrid Rector-Brooks, Sungsoo Ahn, Jinkyoo Park, Nikolay Malkin, Yoshua Bengio:
Adaptive teachers for amortized samplers. CoRR abs/2410.01432 (2024) - [i28]Hyosoon Jang, Yunhui Jang, Jaehyung Kim, Sungsoo Ahn:
Can LLMs Generate Diverse Molecules? Towards Alignment with Structural Diversity. CoRR abs/2410.03138 (2024) - [i27]Yunhui Jang, Jaehyung Kim, Sungsoo Ahn:
Chain-of-Thoughts for Molecular Understanding. CoRR abs/2410.05610 (2024) - 2023
- [c29]Junsu Kim, Younggyo Seo, Sungsoo Ahn, Kyunghwan Son, Jinwoo Shin:
Imitating Graph-Based Planning with Goal-Conditioned Policies. ICLR 2023 - [c28]Sungbin Shin, Yohan Jo, Sungsoo Ahn, Namhoon Lee:
A Closer Look at the Intervention Procedure of Concept Bottleneck Models. ICML 2023: 31504-31520 - [c27]Hyuna Cho, Minjae Jeong, Sooyeon Jeon, Sungsoo Ahn, Won Hwa Kim:
Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion. NeurIPS 2023 - [c26]Hyosoon Jang, Seonghyun Park, Sangwoo Mo, Sungsoo Ahn:
Diffusion Probabilistic Models for Structured Node Classification. NeurIPS 2023 - [c25]Minsu Kim, Federico Berto, Sungsoo Ahn, Jinkyoo Park:
Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences. NeurIPS 2023 - [i26]Hyosoon Jang, Sangwoo Mo, Sungsoo Ahn:
Diffusion Probabilistic Models for Graph-Structured Prediction. CoRR abs/2302.10506 (2023) - [i25]Sungbin Shin, Yohan Jo, Sungsoo Ahn, Namhoon Lee:
A Closer Look at the Intervention Procedure of Concept Bottleneck Models. CoRR abs/2302.14260 (2023) - [i24]Junsu Kim, Younggyo Seo, Sungsoo Ahn, Kyunghwan Son, Jinwoo Shin:
Imitating Graph-Based Planning with Goal-Conditioned Policies. CoRR abs/2303.11166 (2023) - [i23]Yunhui Jang, Dongwoo Kim, Sungsoo Ahn:
Hierarchical Graph Generation with K2-trees. CoRR abs/2305.19125 (2023) - [i22]Hyeonah Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park:
Symmetric Exploration in Combinatorial Optimization is Free! CoRR abs/2306.01276 (2023) - [i21]Jaeseung Heo, Seungbeom Lee, Sungsoo Ahn, Dongwoo Kim:
EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost. CoRR abs/2306.01310 (2023) - [i20]Minsu Kim, Federico Berto, Sungsoo Ahn, Jinkyoo Park:
Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences. CoRR abs/2306.03111 (2023) - [i19]Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park:
Local Search GFlowNets. CoRR abs/2310.02710 (2023) - [i18]Hyosoon Jang, Minsu Kim, Sungsoo Ahn:
Learning Energy Decompositions for Partial Inference of GFlowNets. CoRR abs/2310.03301 (2023) - [i17]Seonghyun Park, Narae Ryu, Gahee Kim, Dongyeop Woo, Se-Young Yun, Sungsoo Ahn:
Non-backtracking Graph Neural Networks. CoRR abs/2310.07430 (2023) - [i16]Yunhui Jang, Seul Lee, Sungsoo Ahn:
A Simple and Scalable Representation for Graph Generation. CoRR abs/2312.02230 (2023) - [i15]Yeonjoon Jung, Sungsoo Ahn:
Triplet Edge Attention for Algorithmic Reasoning. CoRR abs/2312.05611 (2023) - 2022
- [c24]Sungsoo Ahn, Binghong Chen, Tianzhe Wang, Le Song:
Spanning Tree-based Graph Generation for Molecules. ICLR 2022 - [c23]Jaehyung Kim, Dongyeop Kang
What Makes Better Augmentation Strategies? Augment Difficult but Not too Different. ICLR 2022 - [c22]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: 20347-20368 - [c21]Nayeong Kim, Sehyun Hwang, Sungsoo Ahn, Jaesik Park, Suha Kwak:
Learning Debiased Classifier with Biased Committee. NeurIPS 2022 - [i14]Nayeong Kim, Sehyun Hwang, Sungsoo Ahn, Jaesik Park, Suha Kwak:
Learning Debiased Classifier with Biased Committee. CoRR abs/2206.10843 (2022) - [i13]Jiye Kim, Seungbeom Lee, Dongwoo Kim, Sungsoo Ahn, Jaesik Park:
Substructure-Atom Cross Attention for Molecular Representation Learning. CoRR abs/2210.08243 (2022) - 2021
- [c20]Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin:
Layer-adaptive Sparsity for the Magnitude-based Pruning. ICLR 2021 - [c19]Junsu Kim, Sungsoo Ahn, Hankook Lee, Jinwoo Shin:
Self-Improved Retrosynthetic Planning. ICML 2021: 5486-5495 - [c18]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: 2673-2679 - [c17]Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin:
RoMA: Robust Model Adaptation for Offline Model-based Optimization. NeurIPS 2021: 4619-4631 - [i12]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 abs/2105.00795 (2021) - [i11]Junsu Kim, Sungsoo Ahn, Hankook Lee, Jinwoo Shin:
Self-Improved Retrosynthetic Planning. CoRR abs/2106.04880 (2021) - [i10]Sihyun Yu, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin:
Abstract Reasoning via Logic-guided Generation. CoRR abs/2107.10493 (2021) - [i9]Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin:
RoMA: Robust Model Adaptation for Offline Model-based Optimization. CoRR abs/2110.14188 (2021) - 2020
- [c16]Sungsoo Ahn, Younggyo Seo, Jinwoo Shin:
Learning What to Defer for Maximum Independent Sets. ICML 2020: 134-144 - [c15]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: 276-283 - [c14]Sungsoo Ahn, Junsu Kim, Hankook Lee, Jinwoo Shin:
Guiding Deep Molecular Optimization with Genetic Exploration. NeurIPS 2020 - [c13]Jun Hyun Nam, Hyuntak Cha, Sungsoo Ahn, Jaeho Lee, Jinwoo Shin:
Learning from Failure: De-biasing Classifier from Biased Classifier. NeurIPS 2020 - [i8]Sungsoo Ahn, Younggyo Seo, Jinwoo Shin:
Learning What to Defer for Maximum Independent Sets. CoRR abs/2006.09607 (2020) - [i7]Kyunghwan Son, Sungsoo Ahn, Roben Delos Reyes, Jinwoo Shin, Yung Yi:
QOPT: Optimistic Value Function Decentralization for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2006.12010 (2020) - [i6]Jun Hyun Nam, Hyuntak Cha, Sungsoo Ahn, Jaeho Lee, Jinwoo Shin:
Learning from Failure: Training Debiased Classifier from Biased Classifier. CoRR abs/2007.02561 (2020) - [i5]Sungsoo Ahn, Junsu Kim, Hankook Lee, Jinwoo Shin:
Guiding Deep Molecular Optimization with Genetic Exploration. CoRR abs/2007.04897 (2020) - [i4]Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin:
A Deeper Look at the Layerwise Sparsity of Magnitude-based Pruning. CoRR abs/2010.07611 (2020)
2010 – 2019
- 2019
- [c12]Sungsoo Ahn, Shell Xu Hu, Andreas C. Damianou, Neil D. Lawrence
Variational Information Distillation for Knowledge Transfer. CVPR 2019: 9163-9171 - [i3]Sungsoo Ahn, Shell Xu Hu, Andreas C. Damianou, Neil D. Lawrence
Variational Information Distillation for Knowledge Transfer. CoRR abs/1904.05835 (2019) - 2018
- [j3]Sungsoo Ahn
Maximum Weight Matching Using Odd-Sized Cycles: Max-Product Belief Propagation and Half-Integrality. IEEE Trans. Inf. Theory 64(3): 1471-1480 (2018) - [c11]Sungsoo Ahn, Michael Chertkov, Jinwoo Shin, Adrian Weller:
Gauged Mini-Bucket Elimination for Approximate Inference. AISTATS 2018: 10-19 - [c10]Sungsoo Ahn, Michael Chertkov, Adrian Weller, Jinwoo Shin:
Bucket Renormalization for Approximate Inference. ICML 2018: 109-118 - 2017
- [c9]Sungsoo Ahn, Michael Chertkov, Jinwoo Shin:
Gauging Variational Inference. NIPS 2017: 2881-2890 - 2016
- [c8]Sungsoo Ahn, Michael Chertkov, Jinwoo Shin:
Synthesis of MCMC and Belief Propagation. NIPS 2016: 1453-1461 - [i2]Sungsoo Ahn, Michael Chertkov, Jinwoo Shin:
MCMC assisted by Belief Propagaion. CoRR abs/1605.09042 (2016) - 2015
- [c7]Sungsoo Ahn, Sejun Park, Michael Chertkov, Jinwoo Shin:
Minimum Weight Perfect Matching via Blossom Belief Propagation. NIPS 2015: 1288-1296 - [i1]Sungsoo Ahn, Sejun Park, Michael Chertkov, Jinwoo Shin:
Minimum Weight Perfect Matching via Blossom Belief Propagation. CoRR abs/1509.06849 (2015) - 2012
- [c6]Namkyun Baik, Sungsoo Ahn, Namhi Kang:
Effective DDoS attack defense scheme using web service performance measurement. ICUFN 2012: 428-433 - 2011
- [c5]Dong-Young Lee, Sungsoo Ahn, Minsoo Kim:
A Study on Hierarchical Policy Model for Managing Heterogeneous Security Systems. ICCSA (4) 2011: 225-234 - [c4]Sungsoo Ahn, Dong-Young Lee:
Performance Analysis of MIMO System Utilizing the Detection Algorithm. ICCSA (4) 2011: 248-257
2000 – 2009
- 2006
- [j2]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): 846-854 (2006) - [c3]Sungsoo Ahn, Minsoo Kim, Jungsuk Lee:
Performance Analysis Using the Two Kinds of Receiving Gain of Smart Antenna in IS20001X System. ICCSA (5) 2006: 269-275 - 2005
- [j1]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. 88-B(12): 4678-4681 (2005) - [c2]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: 1050-1055 - 2001
- [c1]Zhengzi Li, Sungsoo Ahn, Seungwon Choi:
A novel on-off algorithm for smart antenna system operating in IMT2000 mobile communications. VTC Fall 2001: 1993-1997
Coauthor Index
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last updated on 2024-11-18 21:46 CET by the dblp team
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