DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning WF Sun, CK Lee, CY Lee International Conference on Machine Learning (ICML), 2021, 9945-9954, 2021 | 52 | 2021 |
Denoising Likelihood Score Matching for Class-conditional Iterative Image Generation CH Chao, WF Sun, BW Cheng, YC Lo, CC Chang, YL Liu, YL Chang, ... International Conference on Learning Representations (ICLR), 2022, 2022 | 36* | 2022 |
On Investigating the Conservative Property of Score-Based Generative Models CH Chao, WF Sun, BW Cheng, CY Lee International Conference on Machine Learning (ICML), 2023, 2023 | 6* | 2023 |
DriveEnv-NeRF: Exploration of A NeRF-Based Autonomous Driving Environment for Real-World Performance Validation MY Shen, CC Hsu, HY Hou, YC Huang, WF Sun, CC Chang, YL Liu, ... IEEE International Conference on Robotics and Automation (ICRA), 2024 …, 2024 | 4 | 2024 |
COLAB: Collaborative and Efficient Processing of Replicated Cache Requests in GPU CYL Bo-Wun Cheng, En-Ming Huang, Chen-Hao Chao, Wei-Fang Sun, Tsung-Tai Yeh Asia and South Pacific Design Automation Conference (ASP-DAC), 2023, 2023 | 4* | 2023 |
Training Energy-Based Normalizing Flow with Score-Matching Objectives CH Chao, WF Sun, YC Hsu, Z Kira, CY Lee Conference on Neural Information Processing Systems (NeurIPS), 2023, 2023 | 3 | 2023 |
A Distributional Perspective on Value Function Factorization Methods for Multi-Agent Reinforcement Learning. WF Sun, CK Lee, CY Lee International Joint Conference on Autonomous Agents and Multi-agent Systems …, 2021 | 3 | 2021 |
Retraining-Free Merging of Sparse Mixture-of-Experts via Hierarchical Clustering I Chen, HS Liu, WF Sun, CH Chao, YC Hsu, CY Lee arXiv preprint arXiv:2410.08589, 2024 | 1 | 2024 |
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning WF Sun, CK Lee, S See, CY Lee Journal of Machine Learning Research (JMLR), 2023, 2023 | 1 | 2023 |
Quatros: a preemptive multithreaded embedded OS for education WF Sun, SH Chan, ZT Liu, YH Yeh, PH Chou ACM SIGBED Review 17 (1), 49-55, 2020 | 1 | 2020 |
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow CH Chao, C Feng, WF Sun, CK Lee, S See, CY Lee Conference on Neural Information Processing Systems (NeurIPS), 2024, 2024 | | 2024 |
Language-Guided Pattern Formation for Swarm Robotics with Multi-Agent Reinforcement Learning CYL Hsu-Shen Liu, So Kuroki, Tadashi Kozuno, Wei-Fang Sun International Conference on Intelligent Robots and Systems (IROS), 2024 | | 2024 |
Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning CC Chiang, LC Lan, WF Sun, C Feng, CJ Hsieh, CY Lee International Conference on Machine Learning (ICML), 2024, 2024 | | 2024 |
Remote Access Tag Array for Efficient GPU Intra-Cluster Data Sharing CYL Bo-Wun Cheng, En-Ming Huang, Chen-Hao Chao, Wei-Fang Sun, Tsung-Tai Yeh Synthesis and System Integration of Mixed Information Technologies Workshop …, 2022 | | 2022 |
Critique of “Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility” by SCC Team From National Tsing Hua University WF Sun, HH Chen, SF Lin, YC Lin, JW Wu, ET Lin, J Chou IEEE Transactions on Parallel and Distributed Systems 32 (11), 2623-2626, 2021 | | 2021 |