Sangwoong Yoon

20 papers A* 6A 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multi-Task GRPO: Reliable LLM Reasoning Across Tasks. CoRR Shyam Sundhar Ramesh, Xiaotong Ji, Matthieu Zimmer, Sangwoong Yoon, Zhiyong Wang, Haitham Bou-Ammar, Aurélien Lucchi, Ilija Bogunovic
2025	J	`jnl`	Game-Theoretic Regularized Self-Play Alignment of Large Language Models. CoRR Xiaohang Tang, Sangwoong Yoon, Seongho Son, Huizhuo Yuan, Quanquan Gu, Ilija Bogunovic
2025	J	`jnl`	Robust Multi-Objective Controlled Decoding of Large Language Models. CoRR Seongho Son, William Bankes, Sangwoong Yoon, Shyam Sundhar Ramesh, Xiaohang Tang, Ilija Bogunovic
2025	J	`jnl`	This Is Your Doge, If It Please You: Exploring Deception and Robustness in Mixture of LLMs. CoRR Lorenz Wolf, Sangwoong Yoon, Ilija Bogunovic
2025	J	`jnl`	Value Gradient Sampler: Sampling as Sequential Decision Making. CoRR Sangwoong Yoon, Himchan Hwang, Hyeokju Jeong, Dong Kyu Shin, Che-Sang Park, Sehee Kweon, Frank Chongwoo Park
2025	J	`jnl`	wd1: Weighted Policy Optimization for Reasoning in Diffusion Language Models. CoRR Xiaohang Tang, Rares Dolga, Sangwoong Yoon, Ilija Bogunovic
2024	A*	`conf`	Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models. NeurIPS Sangwoong Yoon, Himchan Hwang, Dohyun Kwon, Yung-Kyun Noh, Frank C. Park
2024	J	`jnl`	Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models. CoRR Sangwoong Yoon, Himchan Hwang, Dohyun Kwon, Yung-Kyun Noh, Frank C. Park
2023	A*	`conf`	Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach. NeurIPS Sangwoong Yoon, Young-Uk Jin, Yung-Kyun Noh, Frank C. Park
2023	J	`jnl`	Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach. CoRR Sangwoong Yoon, Young-Uk Jin, Yung-Kyun Noh, Frank C. Park
2023	J	`jnl`	Generalized Contrastive Divergence: Joint Training of Energy-Based Model and Diffusion Model through Inverse Reinforcement Learning. CoRR Sangwoong Yoon, Dohyun Kwon, Himchan Hwang, Yung-Kyun Noh, Frank C. Park
2023	A*	`conf`	Variational Weighting for Kernel Density Ratios. NeurIPS Sangwoong Yoon, Frank C. Park, Gunsu S. Yun, Iljung Kim, Yung-Kyun Noh
2023	J	`jnl`	Variational Weighting for Kernel Density Ratios. CoRR Sangwoong Yoon, Frank Chongwoo Park, Gunsu S. Yun, Iljung Kim, Yung-Kyun Noh
2022	J	`jnl`	Evaluating Out-of-Distribution Detectors Through Adversarial Generation of Outliers. CoRR Sangwoong Yoon, Jinwon Choi, Yonghyeon Lee, Yung-Kyun Noh, Frank Chongwoo Park
2022	A*	`conf`	Regularized Autoencoders for Isometric Representation Learning. ICLR Yonghyeon Lee, Sangwoong Yoon, Minjun Son, Frank Chongwoo Park
2021	A*	`conf`	Autoencoding Under Normalization Constraints. ICML Sangwoong Yoon, Yung-Kyun Noh, Frank Chongwoo Park
2021	J	`jnl`	Autoencoding Under Normalization Constraints. CoRR Sangwoong Yoon, Yung-Kyun Noh, Frank Chongwoo Park
2021	A*	`conf`	Image-to-Image Retrieval by Learning Similarity between Scene Graphs. AAAI Sangwoong Yoon, Woo-Young Kang, Sungwook Jeon, SeongEun Lee, Changjin Han, Jonghun Park, Eun-Sol Kim
2020	J	`jnl`	Image-to-Image Retrieval by Learning Similarity between Scene Graphs. CoRR Sangwoong Yoon, Woo-Young Kang, Sungwook Jeon, SeongEun Lee, Changjin Han, Jonghun Park, Eun-Sol Kim
2019	A	`conf`	Deep-Hurricane-Tracker: Tracking and Forecasting Extreme Climate Events. WACV Sookyung Kim, Hyojin Kim, Joonseok Lee, Sangwoong Yoon, Samira Ebrahimi Kahou, Karthik Kashinath, Prabhat