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]