MLSP-P19.2
ITERATIVE AMORTIZED HIERARCHICAL VAE
Simon Penninga, Ruud van Sloun, Eindhoven University of Technology, Netherlands
Session:
MLSP-P19: Deep Generative Models for Signal Processing Poster
Track:
Machine Learning for Signal Processing [ML]
Location:
Poster Area 6
Presentation Time:
Wed, 6 May, 09:00 - 11:00
Presentation
Discussion
Resources
No resources available.
Session MLSP-P19
MLSP-P19.1: ENHANCING INTER-LEAD CORRELATIONS: A NOVEL DIFFUSION GAN FRAMEWORK FOR 12-LEAD ECG GENERATION
Yongchao Wang, Fubin Guo, Shizhan Tang, Junchao Fan, Xiuli Bi, Bin Xiao, Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, China
MLSP-P19.2: ITERATIVE AMORTIZED HIERARCHICAL VAE
Simon Penninga, Ruud van Sloun, Eindhoven University of Technology, Netherlands
MLSP-P19.3: LLM-ADAPTIVE REASONING CLUSTERING FOR AUTOMATED CHAIN-OF-THOUGHT PROMPTING
Qiangqiang He, Kefei Yan, Shuwei Qian, Chongjun Wang, Nanjing University, China
MLSP-P19.4: Generating Moving 3D Soundscapes with Latent Diffusion Models
Christian Templin, Stevens Institute of Technology, United States of America; Yanda Zhu, Hunan Normal University, China; Hao Wang, Stevens Institute of Technology, United States of America
MLSP-P19.5: ECONOMICALLY CONSTRAINED CYCLE-CONSISTENT GENERATIVE NETWORKS FOR RISK-NEUTRAL DENSITY ESTIMATION: CRISIS-ROBUST PRICING AND HEDGING
Yuchen Pan, Soung Chang Liew, The Chinese University of Hong Kong, Hong Kong
MLSP-P19.6: One-step Generative Distillation
Yiwei Chen, Chinese Academy of Sciences, University of Science and Technology of China, China; Guoxi Xu, Alibaba Group, China; Huimin Tong, Hikvision Digital Technology Co., Ltd., China; Yijin Xu, Wenhui Li, Independent researcher, China
MLSP-P19.7: DiffVAGS: Visual Alignment for High-Fidelity 3D Gaussian Splatting Generation
Dongjun Wu, Wenhui Ou, Yijian Wu, Yu Sen TO, Chik Patrick YUE, The Hong Kong University of Science and Technology, Hong Kong
MLSP-P19.8: Exploring Confidence as a Reward to Advance LLMs Reasoning
He Du, Fudan University, China; Bowen Li, Chengxing Xie, Shanghai AI Laboratory, China; Chang Gao, The Chinese University of Hong Kong, China; Kai Chen, Shanghai AI Laboratory, China; Dacheng Tao, Nanyang Technological University, China
MLSP-P19.9: HSI-DM:TRAINING-FREE HIERARCHICAL STYLE INJECTION IN DIFFUSION MODELS FOR NATURAL CONTENT-STYLE FUSION
Wei Wang, Yueqi Li, Liaoning Technical University, China
MLSP-P19.10: IG-CODIFF:CONTRASTIVE DIFFUSION MODELS WITH CROSS-INSTANCE GRAPH CONSTRUCTION FOR TABULAR DATA SYNTHESIS
Xu Wang, Jing Zhao, Yongfeng Dong, Liqin Wang, Liang Yang, Hebei University of Technology, China
Contacts