Sungsoo Ahn - RankMe

126 papers A* 36A 2Journal 70Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Boltz is a Strong Baseline for Atom-level Representation Learning. CoRR Hyosoon Jang, Hyunjin Seo, Yunhui Jang, Seonghyun Park, Sungsoo Ahn
2026	J	`jnl`	DNACHUNKER: Learnable Tokenization for DNA Language Models. CoRR Taewon Kim, Jihwan Shin, Hyomin Kim, Youngmok Jung, Jonghoon Lee, Won-Chul Lee, Insu Han, Sungsoo Ahn
2026	J	`jnl`	Digital twin platform for real-time data communication in UAV environment. Future Gener. Comput. Syst. Chang-Hui Bae, Euteum Choi, Sungjoo Kang, Sungsoo Ahn, Seongjin Lee
2026	J	`jnl`	INDIBATOR: Diverse and Fact-Grounded Individuality for Multi-Agent Debate in Molecular Discovery. CoRR Yunhui Jang, Seonghyun Park, Jaehyung Kim, Sungsoo Ahn
2026	J	`jnl`	Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction. CoRR Yinhua Piao, Hyomin Kim, Seonghwan Kim, Yunhak Oh, Junhyeok Jeon, Sang-Yeon Hwang, Jaechang Lim, Woo Youn Kim, Chanyoung Park, Sungsoo Ahn
2026	J	`jnl`	Multimodal Crystal Flow: Any-to-Any Modality Generation for Unified Crystal Modeling. CoRR Kiyoung Seong, Sungsoo Ahn, Sehui Han, Changyoung Park
2026	J	`jnl`	Progressive Multi-Agent Reasoning for Biological Perturbation Prediction. CoRR Hyomin Kim, Sang-Yeon Hwang, Jaechang Lim, Yinhua Piao, Yunhak Oh, Woo Youn Kim, Chanyoung Park, Sungsoo Ahn, Junhyeok Jeon
2026	J	`jnl`	Riemannian MeanFlow. CoRR Dongyeop Woo, Marta Skreta, Seonghyun Park, Kirill Neklyudov, Sungsoo Ahn
2025	J	`jnl`	A tumor inpainting framework for MRI using automated masks based on channel-specific conditions across the volume. Biomed. Signal Process. Control. Kyuri Kim, Hyungjoo Cho, Yoonho Na, Sung-Joon Ye, Jimin Lee, Sungsoo Ahn, Ji Eun Park, Hwiyoung Kim
2025	A*	`conf`	Adaptive teachers for amortized samplers. ICLR Minsu Kim, Sanghyeok Choi, Taeyoung Yun, Emmanuel Bengio, Leo Feng, Jarrid Rector-Brooks, Sungsoo Ahn, Jinkyoo Park, Nikolay Malkin, Yoshua Bengio
2025	J	`jnl`	Decoupled Sequence and Structure Generation for Realistic Antibody Design. Trans. Mach. Learn. Res. Nayoung Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park
2025	J	`jnl`	Designing an Interoperable UAV Communication Model: A NIEM-Driven Approach. J. Vis. Lang. Comput. Bushra Younas, Jessika Delgado Ruiz, Sungsoo Ahn
2025	J	`jnl`	Energy-based generator matching: A neural sampler for general state space. CoRR Dongyeop Woo, Minsu Kim, Minkyu Kim, Kiyoung Seong, Sungsoo Ahn
2025	—	`conf`	Enhancing LLM Agent Safety via Causal Influence Prompting. ACL (Findings) Dongyoon Hahm, Woogyeol Jin, June Suk Choi, Sungsoo Ahn, Kimin Lee
2025	J	`jnl`	Enhancing LLM Agent Safety via Causal Influence Prompting. CoRR Dongyoon Hahm, Woogyeol Jin, June Suk Choi, Sungsoo Ahn, Kimin Lee
2025	—	`conf`	Examining the Performance of Mamba Tab for Software Defect Prediction. BigComp Saranya Manikandan, Shivani Jadhav, Duksan Ryu, Sungsoo Ahn
2025	J	`jnl`	Flexible MOF Generation with Torsion-Aware Flow Matching. CoRR Nayoung Kim, Seongsu Kim, Sungsoo Ahn
2025	A*	`conf`	Generative Flows on Synthetic Pathway for Drug Design. ICLR Seonghwan Seo, Minsu Kim, Tony Shen, Martin Ester, Jinkyoo Park, Sungsoo Ahn, Woo Youn Kim
2025	J	`jnl`	High-order Equivariant Flow Matching for Density Functional Theory Hamiltonian Prediction. CoRR Seongsu Kim, Nayoung Kim, Dongwoo Kim, Sungsoo Ahn
2025	A*	`conf`	Improving Chemical Understanding of LLMs via SMILES Parsing. EMNLP Yunhui Jang, Jaehyung Kim, Sungsoo Ahn
2025	J	`jnl`	Improving Chemical Understanding of LLMs via SMILES Parsing. CoRR Yunhui Jang, Jaehyung Kim, Sungsoo Ahn
2025	J	`jnl`	Interpretable multimodal transformer for prediction of molecular subtypes and grades in adult-type diffuse gliomas. npj Digit. Medicine Yunsu Byeon, Yae Won Park, Soohyun Lee, Doohyun Park, Hyungseob Shin, Kyunghwa Han, Jong Hee Chang, Se Hoon Kim, Seung-Koo Lee, Sungsoo Ahn, Dosik Hwang
2025	J	`jnl`	Learning Collective Variables from Time-lagged Generation. CoRR Seonghyun Park, Kiyoung Seong, Soojung Yang, Rafael Gómez-Bombarelli, Sungsoo Ahn
2025	J	`jnl`	Learning Flexible Forward Trajectories for Masked Molecular Diffusion. CoRR Hyunjin Seo, Taewon Kim, Sihyun Yu, Sungsoo Ahn
2025	A*	`conf`	MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks. ICLR Nayoung Kim, Seongsu Kim, Minsu Kim, Jinkyoo Park, Sungsoo Ahn
2025	—	`conf`	MT-Mol: Multi Agent System with Tool-based Reasoning for Molecular Optimization. EMNLP (Findings) Hyomin Kim, Yunhui Jang, Sungsoo Ahn
2025	J	`jnl`	MT-Mol:Multi Agent System with Tool-based Reasoning for Molecular Optimization. CoRR Hyomin Kim, Yunhui Jang, Sungsoo Ahn
2025	J	`jnl`	On scalable and efficient training of diffusion samplers. CoRR Minkyu Kim, Kiyoung Seong, Dongyeop Woo, Sungsoo Ahn, Minsu Kim
2025	J	`jnl`	PARROT: An Open Multilingual Radiology Reports Dataset. CoRR Bastien Le Guellec, Kokou Adambounou, Lisa C. Adams, Thibault Agripnidis, Sungsoo Ahn, Radhia Ait Chalal, Tugba Akinci D. Antonoli, Philippe Amouyel, Henrik Andersson, Raphael Bentegeac, Claudio Benzoni, Antonino Andrea Blandino, Felix Busch, Elif Can, Riccardo Cau, Armando Ugo Cavallo, Christelle Chavihot, Erwin Chiquete, Renato Cuocolo, Eugen Divjak, Gordana Ivanac, Barbara Dziadkowiec Macek, Armel Elogne, Salvatore Claudio Fanni, Carlos Ferrarotti, Claudia Fossataro, Federica Fossataro, Katarzyna Fulek, Michal Fulek, Pawel Gac, Martyna Gachowska, Ignacio Garcia Juarez, Marco Gatti, Natalia Gorelik, Alexia Maria Goulianou, Aghiles Hamroun, Nicolas Herinirina, Krzysztof Kraik, Dominik Krupka, Quentin Holay, Felipe Kitamura, Michail E. Klontzas, Anna Kompanowska, Rafal Kompanowski, Alexandre Lefevre, Tristan Lemke, Maximilian Lindholz, Lukas Muller, Piotr Macek, Marcus R. Makowski, Luigi Mannacio, Aymen Meddeb, Antonio Natale, Beatrice Nguema Edzang, Adriana Ojeda, Yae Won Park, Federica Piccione, Andrea Ponsiglione, Malgorzata Poreba, Rafal Poreba, Philipp Prucker, Jean-Pierre Pruvo, Rosa Alba Pugliesi, Feno Hasina Rabemanorintsoa, Vasileios Rafailidis, Katarzyna Resler, Jan Rotkegel, Luca Saba, Ezann Siebert, Arnaldo Stanzione, Ali Fuat Tekin, Liz Toapanta Yanchapaxi, Matthaios Triantafyllou, Ekaterini Tsaoulia, Evangelia Vassalou, Federica Vernuccio, Johan Wasselius, Weilang Wang, Szymon Urban, Adrian Wlodarczak, Szymon Wlodarczak, Andrzej Wysocki, Lina Xu, Tomasz Zatonski, Shuhang Zhang, Sebastian Ziegelmayer, Grégory Kuchcinski, Keno K. Bressem
2025	A*	`conf`	REBIND: Enhancing Ground-state Molecular Conformation Prediction via Force-Based Graph Rewiring. ICLR Taewon Kim, Hyunjin Seo, Sungsoo Ahn, Eunho Yang
2025	—	`conf`	RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark. KDD (2) Federico Berto, Chuanbo Hua, Junyoung Park, Laurin Luttmann, Yining Ma, Fanchen Bu, Jiarui Wang, Haoran Ye, Minsu Kim, Sanghyeok Choi, Nayeli Gast Zepeda, André Hottung, Jianan Zhou, Jieyi Bi, Yu Hu, Fei Liu, Hyeonah Kim, Jiwoo Son, Haeyeon Kim, Davide Angioni, Wouter Kool, Zhiguang Cao, Qingfu Zhang, Joungho Kim, Jie Zhang, Kijung Shin, Cathy Wu, Sungsoo Ahn, Guojie Song, Changhyun Kwon, Kevin Tierney, Lin Xie, Jinkyoo Park
2025	J	`jnl`	Sampling Decisions. CoRR Michael Chertkov, Sungsoo Ahn, Hamidreza Behjoo
2025	J	`jnl`	Search-Based Correction of Reasoning Chains for Language Models. CoRR Minsu Kim, Jean-Pierre R. Falet, Oliver E. Richardson, Xiaoyin Chen, Moksh Jain, Sungjin Ahn, Sungsoo Ahn, Yoshua Bengio
2025	—	`conf`	Self-Training Large Language Models with Confident Reasoning. EMNLP (Findings) Hyosoon Jang, Yunhui Jang, Sungjae Lee, Jungseul Ok, Sungsoo Ahn
2025	J	`jnl`	Self-Training Large Language Models with Confident Reasoning. CoRR Hyosoon Jang, Yunhui Jang, Sungjae Lee, Jungseul Ok, Sungsoo Ahn
2025	—	`conf`	Structural Reasoning Improves Molecular Understanding of LLM. ACL (1) Yunhui Jang, Jaehyung Kim, Sungsoo Ahn
2025	—	`conf`	Towards Interoperable UAV Communication: A NIEM-Driven Approach (S). DMSVIVA Bushra Younas, Jessika Delgado Ruiz, Sungsoo Ahn
2025	A*	`conf`	Transition Path Sampling with Improved Off-Policy Training of Diffusion Path Samplers. ICLR Kiyoung Seong, Seonghyun Park, Seonghwan Kim, Woo Youn Kim, Sungsoo Ahn
2024	A*	`conf`	A Simple and Scalable Representation for Graph Generation. ICLR Yunhui Jang, Seul Lee, Sungsoo Ahn
2024	J	`jnl`	Adaptive teachers for amortized samplers. CoRR Minsu Kim, Sanghyeok Choi, Taeyoung Yun, Emmanuel Bengio, Leo Feng, Jarrid Rector-Brooks, Sungsoo Ahn, Jinkyoo Park, Nikolay Malkin, Yoshua Bengio
2024	A*	`conf`	Breadth-First Exploration on Adaptive Grid for Reinforcement Learning. ICML Youngsik Yoon, Gangbok Lee, Sungsoo Ahn, Jungseul Ok
2024	J	`jnl`	Can LLMs Generate Diverse Molecules? Towards Alignment with Structural Diversity. CoRR Hyosoon Jang, Yunhui Jang, Jaehyung Kim, Sungsoo Ahn
2024	J	`jnl`	Chain-of-Thoughts for Molecular Understanding. CoRR Yunhui Jang, Jaehyung Kim, Sungsoo Ahn
2024	J	`jnl`	Collective Variable Free Transition Path Sampling with Generative Flow Network. CoRR Kiyoung Seong, Seonghyun Park, Seonghwan Kim, Woo Youn Kim, Sungsoo Ahn
2024	A	`conf`	Controllable Text-to-Image Synthesis for Multi-Modality MR Images. WACV Kyuri Kim, Yoonho Na, Sung-Joon Ye, Jimin Lee, Sungsoo Ahn, Ji Eun Park, Hwiyoung Kim
2024	J	`jnl`	Differentiation of glioblastoma from solitary brain metastasis using deep ensembles: Empirical estimation of uncertainty for clinical reliability. Comput. Methods Programs Biomed. Yae Won Park, Sujeong Eom, Seungwoo Kim, Sungbin Lim, Ji Eun Park, Ho Sung Kim, Seng Chan You, Sungsoo Ahn, Seung-Koo Lee
2024	A*	`conf`	EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost. IJCAI Jaeseung Heo, Seungbeom Lee, Sungsoo Ahn, Dongwoo Kim
2024	A*	`conf`	Gaussian Plane-Wave Neural Operator for Electron Density Estimation. ICML Seongsu Kim, Sungsoo Ahn
2024	J	`jnl`	Gaussian Plane-Wave Neural Operator for Electron Density Estimation. CoRR Seongsu Kim, Sungsoo Ahn
2024	J	`jnl`	Generative Flows on Synthetic Pathway for Drug Design. CoRR Seonghwan Seo, Minsu Kim, Tony Shen, Martin Ester, Jinkyoo Park, Sungsoo Ahn, Woo Youn Kim
2024	A*	`conf`	Graph Generation with K2-trees. ICLR Yunhui Jang, Dongwoo Kim, Sungsoo Ahn
2024	J	`jnl`	Holistic Molecular Representation Learning via Multi-view Fragmentation. Trans. Mach. Learn. Res. Seojin Kim, Jaehyun Nam, Junsu Kim, Hankook Lee, Sungsoo Ahn, Jinwoo Shin
2024	A*	`conf`	Hybrid Neural Representations for Spherical Data. ICML Hyomin Kim, Yunhui Jang, Jaeho Lee, Sungsoo Ahn
2024	J	`jnl`	Hybrid Neural Representations for Spherical Data. CoRR Hyomin Kim, Yunhui Jang, Jaeho Lee, Sungsoo Ahn
2024	A*	`conf`	Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization. ICML Nayeong Kim, Juwon Kang, Sungsoo Ahn, Jungseul Ok, Suha Kwak
2024	J	`jnl`	Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization. CoRR Nayeong Kim, Juwon Kang, Sungsoo Ahn, Jungseul Ok, Suha Kwak
2024	J	`jnl`	Iterated Energy-based Flow Matching for Sampling from Boltzmann Densities. CoRR Dongyeop Woo, Sungsoo Ahn
2024	A*	`conf`	Learning Energy Decompositions for Partial Inference in GFlowNets. ICLR Hyosoon Jang, Minsu Kim, Sungsoo Ahn
2024	A*	`conf`	Local Search GFlowNets. ICLR Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park
2024	J	`jnl`	MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks. CoRR Nayoung Kim, Seongsu Kim, Minsu Kim, Jinkyoo Park, Sungsoo Ahn
2024	J	`jnl`	Non-backtracking Graph Neural Networks. Trans. Mach. Learn. Res. Seonghyun Park, Narae Ryu, Gahee Kim, Dongyeop Woo, Se-Young Yun, Sungsoo Ahn
2024	A*	`conf`	Pessimistic Backward Policy for GFlowNets. NeurIPS Hyosoon Jang, Yunhui Jang, Minsu Kim, Jinkyoo Park, Sungsoo Ahn
2024	J	`jnl`	Pessimistic Backward Policy for GFlowNets. CoRR Hyosoon Jang, Yunhui Jang, Minsu Kim, Jinkyoo Park, Sungsoo Ahn
2024	—	`ed.`	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. ISE@APSEC Sungsoo Ahn, Seonah Lee, Sajid Anwar
2024	J	`jnl`	REBIND: Enhancing ground-state molecular conformation via force-based graph rewiring. CoRR Taewon Kim, Hyunjin Seo, Sungsoo Ahn, Eunho Yang
2024	A*	`conf`	Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization. ICML Hyeonah Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park
2024	A*	`conf`	Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More. ICML Fanchen Bu, Hyeonsoo Jo, Soo Yong Lee, Sungsoo Ahn, Kijung Shin
2024	J	`jnl`	Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More. CoRR Fanchen Bu, Hyeonsoo Jo, Soo Yong Lee, Sungsoo Ahn, Kijung Shin
2023	A*	`conf`	A Closer Look at the Intervention Procedure of Concept Bottleneck Models. ICML Sungbin Shin, Yohan Jo, Sungsoo Ahn, Namhoon Lee
2023	J	`jnl`	A Closer Look at the Intervention Procedure of Concept Bottleneck Models. CoRR Sungbin Shin, Yohan Jo, Sungsoo Ahn, Namhoon Lee
2023	J	`jnl`	A Simple and Scalable Representation for Graph Generation. CoRR Yunhui Jang, Seul Lee, Sungsoo Ahn
2023	A*	`conf`	Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences. NeurIPS Minsu Kim, Federico Berto, Sungsoo Ahn, Jinkyoo Park
2023	J	`jnl`	Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences. CoRR Minsu Kim, Federico Berto, Sungsoo Ahn, Jinkyoo Park
2023	J	`jnl`	Diffusion Probabilistic Models for Graph-Structured Prediction. CoRR Hyosoon Jang, Sangwoo Mo, Sungsoo Ahn
2023	A*	`conf`	Diffusion Probabilistic Models for Structured Node Classification. NeurIPS Hyosoon Jang, Seonghyun Park, Sangwoo Mo, Sungsoo Ahn
2023	J	`jnl`	EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost. CoRR Jaeseung Heo, Seungbeom Lee, Sungsoo Ahn, Dongwoo Kim
2023	J	`jnl`	Hierarchical Graph Generation with K CoRR Yunhui Jang, Dongwoo Kim, Sungsoo Ahn
2023	A*	`conf`	Imitating Graph-Based Planning with Goal-Conditioned Policies. ICLR Junsu Kim, Younggyo Seo, Sungsoo Ahn, Kyunghwan Son, Jinwoo Shin
2023	J	`jnl`	Imitating Graph-Based Planning with Goal-Conditioned Policies. CoRR Junsu Kim, Younggyo Seo, Sungsoo Ahn, Kyunghwan Son, Jinwoo Shin
2023	J	`jnl`	Learning Energy Decompositions for Partial Inference of GFlowNets. CoRR Hyosoon Jang, Minsu Kim, Sungsoo Ahn
2023	J	`jnl`	Local Search GFlowNets. CoRR Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park
2023	A*	`conf`	Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion. NeurIPS Hyuna Cho, Minjae Jeong, Sooyeon Jeon, Sungsoo Ahn, Won Hwa Kim
2023	J	`jnl`	Non-backtracking Graph Neural Networks. CoRR Seonghyun Park, Narae Ryu, Gahee Kim, Dongyeop Woo, Se-Young Yun, Sungsoo Ahn
2023	J	`jnl`	Symmetric Exploration in Combinatorial Optimization is Free! CoRR Hyeonah Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park
2023	J	`jnl`	Triplet Edge Attention for Algorithmic Reasoning. CoRR Yeonjoon Jung, Sungsoo Ahn
2022	A*	`conf`	Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning. ICML Kyunghwan Son, Junsu Kim, Sungsoo Ahn, Roben Delos Reyes, Yung Yi, Jinwoo Shin
2022	A*	`conf`	Learning Debiased Classifier with Biased Committee. NeurIPS Nayeong Kim, Sehyun Hwang, Sungsoo Ahn, Jaesik Park, Suha Kwak
2022	J	`jnl`	Learning Debiased Classifier with Biased Committee. CoRR Nayeong Kim, Sehyun Hwang, Sungsoo Ahn, Jaesik Park, Suha Kwak
2022	A*	`conf`	Spanning Tree-based Graph Generation for Molecules. ICLR Sungsoo Ahn, Binghong Chen, Tianzhe Wang, Le Song
2022	J	`jnl`	Substructure-Atom Cross Attention for Molecular Representation Learning. CoRR Jiye Kim, Seungbeom Lee, Dongwoo Kim, Sungsoo Ahn, Jaesik Park
2022	A*	`conf`	What Makes Better Augmentation Strategies? Augment Difficult but Not too Different. ICLR Jaehyung Kim, Dongyeop Kang, Sungsoo Ahn, Jinwoo Shin
2021	J	`jnl`	Abstract Reasoning via Logic-guided Generation. CoRR Sihyun Yu, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin
2021	A*	`conf`	Layer-adaptive Sparsity for the Magnitude-based Pruning. ICLR Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin
2021	A*	`conf`	RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning. IJCAI Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
2021	J	`jnl`	RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning. CoRR Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Sung Ju Hwang, Eunho Yang, Jinwoo Shin
2021	A*	`conf`	RoMA: Robust Model Adaptation for Offline Model-based Optimization. NeurIPS Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin
2021	J	`jnl`	RoMA: Robust Model Adaptation for Offline Model-based Optimization. CoRR Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin
2021	A*	`conf`	Self-Improved Retrosynthetic Planning. ICML Junsu Kim, Sungsoo Ahn, Hankook Lee, Jinwoo Shin
2021	J	`jnl`	Self-Improved Retrosynthetic Planning. CoRR Junsu Kim, Sungsoo Ahn, Hankook Lee, Jinwoo Shin
2020	J	`jnl`	A Deeper Look at the Layerwise Sparsity of Magnitude-based Pruning. CoRR Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin
2020	—	`conf`	Differentiation of Recurrent Glioblastoma from Radiation Necrosis Using Diffusion Radiomics: Machine Learning Model Development and External Validation. MLCN/RNO-AI@MICCAI Yae Won Park, Ji Eun Park, Sungsoo Ahn, Hwiyoung Kim, Ho Sung Kim, Seung-Koo Lee
2020	A*	`conf`	Guiding Deep Molecular Optimization with Genetic Exploration. NeurIPS Sungsoo Ahn, Junsu Kim, Hankook Lee, Jinwoo Shin
2020	J	`jnl`	Guiding Deep Molecular Optimization with Genetic Exploration. CoRR Sungsoo Ahn, Junsu Kim, Hankook Lee, Jinwoo Shin
2020	A*	`conf`	Learning What to Defer for Maximum Independent Sets. ICML Sungsoo Ahn, Younggyo Seo, Jinwoo Shin
2020	J	`jnl`	Learning What to Defer for Maximum Independent Sets. CoRR Sungsoo Ahn, Younggyo Seo, Jinwoo Shin
2020	A*	`conf`	Learning from Failure: De-biasing Classifier from Biased Classifier. NeurIPS Jun Hyun Nam, Hyuntak Cha, Sungsoo Ahn, Jaeho Lee, Jinwoo Shin
2020	J	`jnl`	Learning from Failure: Training Debiased Classifier from Biased Classifier. CoRR Jun Hyun Nam, Hyuntak Cha, Sungsoo Ahn, Jaeho Lee, Jinwoo Shin
2020	J	`jnl`	QOPT: Optimistic Value Function Decentralization for Cooperative Multi-Agent Reinforcement Learning. CoRR Kyunghwan Son, Sungsoo Ahn, Roben Delos Reyes, Jinwoo Shin, Yung Yi
2019	A*	`conf`	Variational Information Distillation for Knowledge Transfer. CVPR Sungsoo Ahn, Shell Xu Hu, Andreas C. Damianou, Neil D. Lawrence, Zhenwen Dai
2019	J	`jnl`	Variational Information Distillation for Knowledge Transfer. CoRR Sungsoo Ahn, Shell Xu Hu, Andreas C. Damianou, Neil D. Lawrence, Zhenwen Dai
2018	A*	`conf`	Bucket Renormalization for Approximate Inference. ICML Sungsoo Ahn, Michael Chertkov, Adrian Weller, Jinwoo Shin
2018	A	`conf`	Gauged Mini-Bucket Elimination for Approximate Inference. AISTATS Sungsoo Ahn, Michael Chertkov, Jinwoo Shin, Adrian Weller
2018	J	`jnl`	Maximum Weight Matching Using Odd-Sized Cycles: Max-Product Belief Propagation and Half-Integrality. IEEE Trans. Inf. Theory Sungsoo Ahn, Michael Chertkov, Andrew E. Gelfand, Sejun Park, Jinwoo Shin
2017	—	`conf`	Gauging Variational Inference. NIPS Sungsoo Ahn, Michael Chertkov, Jinwoo Shin
2016	J	`jnl`	MCMC assisted by Belief Propagaion. CoRR Sungsoo Ahn, Michael Chertkov, Jinwoo Shin
2016	—	`conf`	Synthesis of MCMC and Belief Propagation. NIPS Sungsoo Ahn, Michael Chertkov, Jinwoo Shin
2015	—	`conf`	Minimum Weight Perfect Matching via Blossom Belief Propagation. NIPS Sungsoo Ahn, Sejun Park, Michael Chertkov, Jinwoo Shin
2015	J	`jnl`	Minimum Weight Perfect Matching via Blossom Belief Propagation. CoRR Sungsoo Ahn, Sejun Park, Michael Chertkov, Jinwoo Shin
2012	—	`conf`	Effective DDoS attack defense scheme using web service performance measurement. ICUFN Namkyun Baik, Sungsoo Ahn, Namhi Kang
2011	—	`conf`	A Study on Hierarchical Policy Model for Managing Heterogeneous Security Systems. ICCSA (4) Dong-Young Lee, Sungsoo Ahn, Minsoo Kim
2011	—	`conf`	Performance Analysis of MIMO System Utilizing the Detection Algorithm. ICCSA (4) Sungsoo Ahn, Dong-Young Lee
2006	J	`jnl`	Design of CIC roll-off compensation filter in a W-CDMA digital IF receiver. Digit. Signal Process. Seongdo Kim, Weon-Cheol Lee, Sungsoo Ahn, Seungwon Choi
2006	—	`conf`	Performance Analysis Using the Two Kinds of Receiving Gain of Smart Antenna in IS20001X System. ICCSA (5) Sungsoo Ahn, Minsoo Kim, Jungsuk Lee
2005	J	`jnl`	On-Off Beamforming Algorithm Based on Eigen-Space Method for a Smart Antenna in IS-2000 1X Signal Environments. IEICE Trans. Commun. Zhengzi Li, Weon-Cheol Lee, Sungsoo Ahn, Seungwon Choi
2005	—	`conf`	Performance Analysis of a Antenna Array System Using a New Beamforming Algorithm in the CDMA2000 1X Wireless Communication. KES (2) Sungsoo Ahn, Minsoo Kim, Jungsuk Lee, Dong-Young Lee
2001	—	`conf`	A novel on-off algorithm for smart antenna system operating in IMT2000 mobile communications. VTC Fall Zhengzi Li, Sungsoo Ahn, Seungwon Choi