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Publication search results
found 35 matches
- 2024
- Kibeom Kim, Moonhoen Lee, Min Whoo Lee, Kisung Shin, Minsu Lee, Byoung-Tak Zhang:
Visual Hindsight Self-Imitation Learning for Interactive Navigation. IEEE Access 12: 83796-83809 (2024) - Junseok Park, Yoonsung Kim, Hee bin Yoo, Min Whoo Lee, Kibeom Kim, Won-Seok Choi, Minsu Lee, Byoung-Tak Zhang:
Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning. AAAI 2024: 592-600 - Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park:
Local Search GFlowNets. ICLR 2024 - Minsu Kim, Joohwan Ko, Taeyoung Yun, Dinghuai Zhang, Ling Pan, Woochang Kim, Jinkyoo Park, Emmanuel Bengio, Yoshua Bengio:
Learning to Scale Logits for Temperature-Conditional GFlowNets. ICML 2024 - Junseok Park, Yoonsung Kim, Hee bin Yoo, Min Whoo Lee, Kibeom Kim, Won-Seok Choi, Minsu Lee, Byoung-Tak Zhang:
Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning. CoRR abs/2403.06880 (2024) - 2023
- Jesse Zhang, Jiahui Zhang, Karl Pertsch, Ziyi Liu, Xiang Ren, Minsuk Chang, Shao-Hua Sun, Joseph J. Lim:
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance. CoRL 2023: 302-325 - Minwoo Lee, Hyukhun Koh, Kang-il Lee, Dongdong Zhang, Minsung Kim, Kyomin Jung:
Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine Translation. EMNLP 2023: 16825-16839 - Ganghun Lee, Minji Kim, Yunsu Lee, Minsu Lee, Byoung-Tak Zhang:
Neural Collage Transfer: Artistic Reconstruction via Material Manipulation. ICCV 2023: 2394-2405 - Kibeom Kim, Hyundo Lee, Min Whoo Lee, Moonheon Lee, Minsu Lee, Byoung-Tak Zhang:
L-SA: Learning Under-Explored Targets in Multi-Target Reinforcement Learning. CoRR abs/2305.13741 (2023) - Minwoo Lee, Hyukhun Koh, Kang-il Lee, Dongdong Zhang, Minsung Kim, Kyomin Jung:
Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine Translation. CoRR abs/2305.14016 (2023) - Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park:
Local Search GFlowNets. CoRR abs/2310.02710 (2023) - Minsu Kim, Joohwan Ko, Dinghuai Zhang, Ling Pan, Taeyoung Yun, Woochang Kim, Jinkyoo Park, Yoshua Bengio:
Learning to Scale Logits for Temperature-Conditional GFlowNets. CoRR abs/2310.02823 (2023) - Jesse Zhang, Jiahui Zhang, Karl Pertsch, Ziyi Liu, Xiang Ren, Minsuk Chang, Shao-Hua Sun, Joseph J. Lim:
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance. CoRR abs/2310.10021 (2023) - Ganghun Lee, Minji Kim, Yunsu Lee, Minsu Lee, Byoung-Tak Zhang:
Neural Collage Transfer: Artistic Reconstruction via Material Manipulation. CoRR abs/2311.02202 (2023) - Kibeom Kim, Kisung Shin, Min Whoo Lee, Moonhoen Lee, Minsu Lee, Byoung-Tak Zhang:
Visual Hindsight Self-Imitation Learning for Interactive Navigation. CoRR abs/2312.03446 (2023) - 2022
- Xiaohong Xue, Shurong Zhang:
Minsum node-disjoint paths with time-varying delay functions. Int. J. Parallel Emergent Distributed Syst. 37(4): 398-412 (2022) - Andrey Ignatov, Radu Timofte, Shuai Liu, Chaoyu Feng, Furui Bai, Xiaotao Wang, Lei Lei, Ziyao Yi, Yan Xiang, Zibin Liu, Shaoqing Li, Keming Shi, Dehui Kong, Ke Xu, Minsu Kwon, Yaqi Wu, Jiesi Zheng, Zhihao Fan, Xun Wu, Feng Zhang, Albert No, Minhyeok Cho, Zewen Chen, Xiaze Zhang, Ran Li, Juan Wang, Zhiming Wang, Marcos V. Conde, Ui-Jin Choi, Georgy Perevozchikov, Egor I. Ershov, Zheng Hui, Mengchuan Dong, Xin Lou, Wei Zhou, Cong Pang, Haina Qin, Mingxuan Cai:
Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report. ECCV Workshops (3) 2022: 44-70 - Andrey Ignatov, Radu Timofte, Jin Zhang, Feng Zhang, Gaocheng Yu, Zhe Ma, Hongbin Wang, Minsu Kwon, Haotian Qian, Wentao Tong, Pan Mu, Ziping Wang, Guangjing Yan, Brian Lee, Lei Fei, Huaijin G. Chen, Hyebin Cho, Byeongjun Kwon, Munchurl Kim, Mingyang Qian, Huixin Ma, Yanan Li, Xiaotao Wang, Lei Lei:
Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 Challenge: Report. ECCV Workshops (3) 2022: 153-173 - Ganghun Lee, Minji Kim, Minsu Lee, Byoung-Tak Zhang:
From Scratch to Sketch: Deep Decoupled Hierarchical Reinforcement Learning for Robotic Sketching Agent. CoRR abs/2208.04833 (2022) - Andrey Ignatov, Radu Timofte, Shuai Liu, Chaoyu Feng, Furui Bai, Xiaotao Wang, Lei Lei, Ziyao Yi, Yan Xiang, Zibin Liu, Shaoqing Li, Keming Shi, Dehui Kong, Ke Xu, Minsu Kwon, Yaqi Wu, Jiesi Zheng, Zhihao Fan, Xun Wu, Feng Zhang, Albert No, Minhyeok Cho, Zewen Chen, Xiaze Zhang, Ran Li, Juan Wang, Zhiming Wang, Marcos V. Conde, Ui-Jin Choi, Georgy Perevozchikov, Egor I. Ershov, Zheng Hui, Mengchuan Dong, Xin Lou, Wei Zhou, Cong Pang, Haina Qin, Mingxuan Cai:
Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report. CoRR abs/2211.03885 (2022) - Andrey Ignatov, Radu Timofte, Jin Zhang, Feng Zhang, Gaocheng Yu, Zhe Ma, Hongbin Wang, Minsu Kwon, Haotian Qian, Wentao Tong, Pan Mu, Ziping Wang, Guangjing Yan, Brian Lee, Lei Fei, Huaijin G. Chen, Hyebin Cho, Byeongjun Kwon, Munchurl Kim, Mingyang Qian, Huixin Ma, Yanan Li, Xiaotao Wang, Lei Lei:
Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 challenge: Report. CoRR abs/2211.06769 (2022) - 2021
- Vishnu V. Ratnam, Hao Chen, Sameer Pawar, Bingwen Zhang, Charlie Jianzhong Zhang, Young-Jin Kim, Soonyoung Lee, Minsung Cho, Sung-Rok Yoon:
FadeNet: Deep Learning-Based mm-Wave Large-Scale Channel Fading Prediction and its Applications. IEEE Access 9: 3278-3290 (2021) - Sang Hyun Lee, Minsu Zhang, Jae Kyun Kwon:
Bit Error Probability Performance of Binary Dimmable Visible Light Communication Systems. IEEE Trans. Veh. Technol. 70(9): 9118-9131 (2021) - Andrey Ignatov, Kim Byeoung-su, Radu Timofte, Angeline Pouget, Fenglong Song, Cheng Li, Shuai Xiao, Zhongqian Fu, Matteo Maggioni, Yibin Huang, Shen Cheng, Xin Lu, Yifeng Zhou, Liangyu Chen, Donghao Liu, Xiangyu Zhang, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Minsu Kwon, Myungje Lee, Jaeyoon Yoo, Changbeom Kang, Shinjo Wang, Bin Huang, Tianbao Zhou, Shuai Liu, Lei Lei, Chaoyu Feng, Liguang Huang, Zhikun Lei, Feifei Chen:
Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report. CoRR abs/2105.08629 (2021) - 2020
- Joshua Hooks, Min Sung Ahn, Jeffrey Yu, Xiaoguang Zhang, Taoyuanmin Zhu, Hosik Chae, Dennis W. Hong:
ALPHRED: A Multi-Modal Operations Quadruped Robot for Package Delivery Applications. IEEE Robotics Autom. Lett. 5(4): 5409-5416 (2020) - 2018
- Jeffrey Yu, Joshua Hooks, Xiaoguang Zhang, Min Sung Ahn, Dennis W. Hong:
A Proprioceptive, Force-Controlled, Non-Anthropomorphic Biped for Dynamic Locomotion. Humanoids 2018: 1-9 - Timothy Schempp, Minsung Hong, Haoran Zhang, Rajendra Akerkar, Alexander Schmidt:
An Integrated Crowdsourced Framework for Disaster Relief Distribution. ICT-DM 2018: 1-4 - 2015
- Andy Phaiboun, Yiming Zhang, Boryung Park, Minsu Kim:
Survival Kinetics of Starving Bacteria Is Biphasic and Density-Dependent. PLoS Comput. Biol. 11(4) (2015) - Fan Li, Siyuan Chen, Minsu Huang, Zhiyuan Yin, Chao Zhang, Yu Wang:
Reliable Topology Design in Time-Evolving Delay-Tolerant Networks with Unreliable Links. IEEE Trans. Mob. Comput. 14(6): 1301-1314 (2015) - 2014
- Minsuk Kwak, Traian A. Pirvu, Huayue Zhang:
A Multiperiod Equilibrium Pricing Model. J. Appl. Math. 2014: 408685:1-408685:14 (2014)
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