Graph-Convolutional Autoencoder Ensembles for the Humanities, Illustrated with a Study of the American Slave Tradeby…
Tensor Networks for Explainable Machine Learning in Cybersecurityby Borja Aizpurua, Samuel Palmer, Roman OrusFirst submitted…
Unifying Self-Supervised Clustering and Energy-Based Modelsby Emanuele Sansone, Robin ManhaeveFirst submitted to arxiv on: 30…
Interpreting the Curse of Dimensionality from Distance Concentration and Manifold Effectby Dehua Peng, Zhipeng Gui,…
MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecastingby Wanlin Cai, Yuxuan Liang, Xianggen…
Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Trainingby Yequan Zhao, Xian Xiao, Xinling…
Energy-Efficient Power Control for Multiple-Task Split Inference in UAVs: A Tiny Learning-Based Approachby Chenxi Zhao,…
Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Lawsby Nikhil Sardana, Jacob Portes, Sasha…
Kernel Density Estimation for Multiclass Quantificationby Alejandro Moreo, Pablo González, Juan José del CozFirst submitted…
SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challengeby Dimitrios Psychogyios,…