Slides and Videos

Saturday (6/1)

• Rosemary Renaut, A new view of the LSQR algorithm for the solution of ill-posed problems. [video]
• Wotao Yin, Scaled relative graph: A rigorous geometric tool for operators and convergence analysis. [video]
• Bin Dong, Bridging deep neural networks and differential equations for image analysis and beyond. [video]
• Bao Wang, Privacy-preserving ERM by Laplacian Smoothing Stochastic gradient descent. [video]
• Steve Jiang, Artificial intelligence in medicine: challenges and opportunities. [video]
• Ke Chen, Image registration: diffeomorphic mono-and multi-modal models from shallow approaches to deep learning methods. [video]
• Brendt Wohlberg, Structured sparsity for convolutional representations.

Sunday (6/2)

• Baowei Fei, Biomedical imaging data integration for precision medicine. [video]
• Haomin Zhou, Discrete optimal transport and inverse optimal transport. [video]
• Sung Ha Kang, Identifying differential equations with numerical time evolution. [video]
• Xiu Yang, Physics-informed Gaussian process regression: An efficient approach to fuse simulation and observation data. [video]
• Rongjie Lai, Non-isometric shape matching via geometric modeling and learning. [video]
• Yi Wang, Concentration of frequency and time via a multi-tapered synchrosqueezed transform. [video]
• Penghang Yin, Training quantized deep neural networks for efficient inference. [video]
• Tieyong Zeng, Image recovery from classical approaches to deep learning. [video]
• Yuyuan Ouyang, Lower complexity bounds of first-order methods for some machine learning models. [video]
• Hyebin Song, High-dimensional variable selection in positive-unlabeled learning. [video]