Frequency principle in understanding the generalization of deep learning and the depth effect Read more about Frequency principle in understanding the generalization of deep learning and the depth effect
Optimally weighted loss functions for solving PDEs with Neural Networks: theory, practice and improvements Read more about Optimally weighted loss functions for solving PDEs with Neural Networks: theory, practice and improvements
Generation by Decomposition for Handwritten Text and 3D Shapes Read more about Generation by Decomposition for Handwritten Text and 3D Shapes
Regularization by Denoising via Fixed-Point Projection (RED-PRO) Read more about Regularization by Denoising via Fixed-Point Projection (RED-PRO)
On Linear Identifiability of Learned Representations Read more about On Linear Identifiability of Learned Representations
Active Community Detection with Maximal Expected Model Change Read more about Active Community Detection with Maximal Expected Model Change
-Statistics joint seminar: Tensor Decompositions in Machine Learning Read more about -Statistics joint seminar: Tensor Decompositions in Machine Learning
Classification Logit Two-sample Testing by Neural Networks Read more about Classification Logit Two-sample Testing by Neural Networks
A geometric approach to modeling and analyzing dynamics in biomedical time series Read more about A geometric approach to modeling and analyzing dynamics in biomedical time series