![](https://dblp1.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp1.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp1.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
default search action
Sungsoo Ahn
Person information
Refine list
![note](https://dblp1.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j5]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: 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) - [c34]Hyosoon Jang, Minsu Kim, Sungsoo Ahn:
Learning Energy Decompositions for Partial Inference in GFlowNets. ICLR 2024 - [c33]Yunhui Jang, Dongwoo Kim, Sungsoo Ahn:
Graph Generation with K2-trees. ICLR 2024 - [c32]Yunhui Jang, Seul Lee, Sungsoo Ahn:
A Simple and Scalable Representation for Graph Generation. ICLR 2024 - [c31]Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park:
Local Search GFlowNets. ICLR 2024 - [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] - [i31]Seongsu Kim, Sungsoo Ahn:
Gaussian Plane-Wave Neural Operator for Electron Density Estimation. CoRR abs/2402.04278 (2024) - [i30]Hyomin Kim, Yunhui Jang, Jaeho Lee, Sungsoo Ahn:
Hybrid Neural Representations for Spherical Data. CoRR abs/2402.05965 (2024) - [i29]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) - [i28]Hyosoon Jang, Yunhui Jang, Minsu Kim, Jinkyoo Park, Sungsoo Ahn:
Pessimistic Backward Policy for GFlowNets. CoRR abs/2405.16012 (2024) - [i27]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) - 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
, Sungsoo Ahn, Jinwoo Shin:
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, Zhenwen Dai:
Variational Information Distillation for Knowledge Transfer. CVPR 2019: 9163-9171 - [i3]Sungsoo Ahn, Shell Xu Hu, Andreas C. Damianou, Neil D. Lawrence, Zhenwen Dai:
Variational Information Distillation for Knowledge Transfer. CoRR abs/1904.05835 (2019) - 2018
- [j3]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): 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
![](https://dblp1.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-16 19:26 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint