Ji, Chunlin

4 publications

ACML 2023 Adaptive Riemannian Stochastic Gradient Descent and Reparameterization for Gaussian Mixture Model Fitting Chunlin Ji, Yuhao Fu, Ping He

ACML 2023 Deep Kernel Regression with Finite Learnable Kernels Chunlin Ji, Yuhao Fu

ACML 2023 Prototypical Model with Information-Theoretic Loss Functions for Generalized Zero-Shot Learning Chunlin Ji, Zhan Xiong, Meiying Zhang, Huiwen Yang, Feng Chen, Hanchun Shen

NeurIPSW 2021 Functional Response Conditional Variational Auto-Encoders for Inverse Design of Metamaterials Che Wang, Yuhao Fu, Ke Deng, Chunlin Ji