MLSP-P41: Machine Learning Applications in Signal Processing III
Poster
Wed, 6 May, 16:30 - 18:30
Location: Poster Area 10
Session Type: Poster
Track: Machine Learning for Signal Processing [ML]
Click the to view the manuscript on IEEE Xplore Open Preview

MLSP-P41.1: VDCKAN: A KOLMOGOROV-ARNOLD DRIVEN MODEL FOR VOLUMETRIC DATA COMPRESSION

Yumeng Yang, Jiakang Deng, Tianjin University, China; Weijia Feng, Tianjin Normal University, China; Chongke Bi, Tianjin University, China

MLSP-P41.2: PROBABILISTIC DEEP DISCRIMINANT ANALYSIS FOR WIND BLADE SEGMENTATION

Raül Pérez-Gonzalo, Andreas Espersen, Wind Power LAB, Denmark; Antonio Agudo, Institut de Robòtica i Informàtica Industrial, CSIC-UPC, Spain

MLSP-P41.3: RBAP AND RBAC: TWO NOVEL TYPES IN NONLINEAR RESIDUAL WEIGHTING FOR PHYSICS-INFORMED NEURAL NETWORKS

Yingqi Hong, Xinjiang University, China; Jun Long, Yajuan Li, Gang Yang, Tingting Jia, Central South University, China

MLSP-P41.4: A Neural Operator for Spatiotemporal Significant Wave Height Prediction Based on Spectral Residual Region Partitioning

Ning Song, Xijuan Li, Ocean University of China, China; Jiajing Wu, National key laboratory of electromagnetic environment, Chinese Research Institute of Radiowave Propagation, China; Min Ye, Xinyue Liang, Jie Nie, Ocean University of China, China

MLSP-P41.5: TPFLOW: TOWARDS TOPOLOGICALLY-AWARE MOLECULAR GRAPH GENERATION VIA DISCRETE FLOW MATCHING

Zijun Chen, Yu Wang, Liuzhenghao Lv, Li Yuan, Yonghong Tian, Peking University, China

MLSP-P41.6: FADEMEM: BIOLOGICALLY-INSPIRED FORGETTING FOR EFFICIENT AGENT MEMORY

Lei Wei, Alibaba, China; Xu Dong, Peking University, China; Xiao Peng, Alibaba, China; Niantao Xie, Bin Wang, Peking University, China

MLSP-P41.8: SLAM: Sequential Learning Signal Modeling for Multi-Concept Knowledge Tracing

Rui Jia, Jiangsu Normal University, China; Yuan-Hao Jiang, East China Normal University, China; Yaomin Shen, Zhejiang University, China; Cheng Chen, Yuan Liu, Jiangsu Normal University, China; Zi-Wei Chen, Jingdezhen Ceramic University, China; Yongquan Dong, Jiangsu Normal University, China

MLSP-P41.9: Which private attributes do VLMs agree on and predict well?

Olena Hrynenko, Darya Baranouskaya, EPFL, Idiap Research Institute, Switzerland; Alina Elena Baia, Idiap Research Institute, Switzerland; Andrea Cavallaro, EPFL, Idiap Research Institute, Switzerland

MLSP-P41.10: ON OPTIMIZATION OF POLES FOR ADAPTIVE FOURIER DECOMPOSITION-INSPIRED NEURAL LAYERS

Zeyuan Song, Zheyu Jiang, Oklahoma State University, United States of America