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Accepted Papers & Plenary Lecture

1) Author(s) might revise the paper based on comments they receive during the conference.
2) Authors with ‘*’ will present on the conference.
3) Plenary lecture will be specially marked.
4) Schedule can be downloaded here.

Aug 15th, 2022, Monday (GMT+8)

8:20am- 8:35am

Opening Address

8:35am- 9:35am

Plenary Lecture

  • Learning operators using deep neural networks for multiphysics, multiscale, & multifidelity problems
    Lu Lu (University of Pennsylvania)
9:35am- 10:15am
  • Learning Green's Functions of Linear Reaction-Diffusion Equations with Application to Fast Numerical Solver
    Yuankai Teng (University of South Carolina)*; Xiaoping Zhang (Wuhan University); Zhu Wang (University of South Carolina); Lili Ju (University of South Carolina)
10:15am- 10:55am
  • A Quantum-Inspired Hamiltonian Monte Carlo Method for Missing Data Imputation
    Didem Kochan (Lehigh University)*; Zheng Zhang (UC Santa Barbara); Xiu Yang (Lehigh University)
10:55am- 11:35am
  • SpecNet2: Orthogonalization-free Spectral Embedding by Neural Networks
    Ziyu Chen (Duke University)*; Yingzhou Li (Fudan University); Xiuyuan Cheng (Duke University)
11:35am- 12:15pm
  • Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits
    Jiahao Yao (University of California, Berkeley)*; Haoya Li (Stanford University); Marin Bukov (University of California, Berkeley); Lin Lin (University of California, Berkeley); Lexing Ying (Stanford University)
1:30pm- 2:10pm
  • Structure-preserving Sparse Identification of Nonlinear Dynamics for Data-driven Modeling
    Kookjin Lee (Arizona State University)*; Nathaniel A Trask (Sandia National Laboratories)*; Nathaniel A Trask (Sandia National Laboratories)*; Panos Stinis (Pacific Northwest National Laboratory)
2:10pm- 2:50pm
  • MURANA: A Generic Framework for Stochastic Variance-Reduced Optimization
    Laurent CONDAT (KAUST)*; Peter Richtarik (KAUST)
2:50pm- 3:30pm
  • Optimal denoising of rotationally invariant rectangular matrices
    Emanuele Troiani (EPFL); Vittorio Erba (EPFL)*; FLORENT KRZAKALA (EPFL); Antoine Maillard (ETH Zurich); Lenka Zdeborova (EPFL)
3:30pm- 4:10pm
  • On the Nash equilibrium of moment-matching GANs for stationary Gaussian processes
    Sixin Zhang (IRIT)*

Aug 16th, 2022, Tuesday (GMT+8)

8:30am- 9:10am
  • Natural Compression for Distributed Deep Learning
    Samuel Horváth (MBZUAI)*; Chen-Yu Ho (KAUST); Ludovit Horvath (Comenius University); Atal N Sahu (KAUST); Marco Canini (KAUST); Peter Richtarik (KAUST)
9:10am- 9:50am
  • Error-in-variables modelling for operator learning
    Ravi Patel (Sandia National Laboratories)*; Indu Manickam (Sandia National Laboratories); Myoungkyu Lee (University of Alabama); Mamikon Gulian (Sandia National Laboratories)
9:50am- 10:30am
  • Data adaptive RKHS Tikhonov regularization for learning kernels in operators
    Fei Lu (Johns Hopkins University)*; Quanjun Lang (Johns Hopkins University); Qingci An (Johns Hopkins University)
10:30am- 11:10am
  • Stochastic and Private Nonconvex Outlier-Robust PCA
    Tyler Maunu (Brandeis University)*; Chenyu Yu (Princeton University); Gilad Lerman (University of Minnesota)
11:10am- 11:50am
  • Momentum Transformer: Closing the Performance Gap Between Self-attention and Its Linearization
    Tan Minh Nguyen (University of California, Los Angeles); Richard Baraniuk (Rice University); Robert Kirby (University of Utah); Stanley Osher (UCLA); Bao Wang (University of Utah)*
1:30pm- 2:30pm

Plenary Lecture

  • Deep Approximation via Deep Learning
    Zuowei Shen (National University of Singapore)
2:30pm- 3:10pm
  • An Upper Limit of Decaying Rate with Respect to Frequency in Linear Frequency Principle Model
    Tao Luo (Shanghai Jiaotong University); Zheng Ma (Shanghai Jiao Tong University); Zhiwei Wang (Shanghai Jiaotong University)*; Zhiqin John Xu (Shanghai Jiao Tong University); Yaoyu Zhang (Shanghai Jiao Tong University)
3:10pm- 3:50pm
  • Error Estimates for the Deep Ritz Method with Boundary Penalty
    Marius Zeinhofer (Simula Research Laboratory)*; Johannes Müller (Max Planck Institute for Mathematics in the Sciences)
3:50pm- 4:30pm
  • Notes on Exact Boundary Values in Residual Minimisation
    Marius Zeinhofer (Simula Research Laboratory); Johannes Müller (Max Planck Institute for Mathematics in the Sciences)*

Aug 17th, 2022, Wednesday (GMT+8)

8:30am- 9:10am
  • Online Weak-form Sparse Identification of Partial Differential Equations
    Daniel A Messenger (University of Colorado Boulder)*; Emiliano Dall'Anese (Department of Electrical, Computer, and Energy Engineering, University of Colorado Boulder); David Bortz (University of Colorado Boulder)
9:10am- 9:50am
  • Freeze and Chaos: NTK views on DNN Normalization, Checkerboard and Boundary Artifacts
    Arthur Jacot (EPFL)*; Franck Gabriel (EPFL); François Ged (EPFL); Clement Hongler (EPFL)
9:50am- 10:30am
  • Hierarchical partition of unity networks: fast multilevel training
    Nathaniel A Trask (Sandia National Laboratories)*; Amelia Henriksen (Sandia National Laboratories); Carianne Martinez (Sandia National Laboratories); Eric Cyr (Sandia National Laboratories)
10:30am- 11:10am
  • Concentration of Random Feature Matrices in High-Dimensions
    Zhijun Chen (Carnegie Mellon University); Hayden Schaeffer (Carnegie Mellon University )*; Rachel Ward (University of Texas)
11:10am- 11:50am
  • SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning
    Yuege Xie (University of Texas at Austin)*; Robert Shi (University of Texas at Austin); Hayden Schaeffer (Carnegie Mellon University); Rachel Ward (University of Texas)
1:30pm- 2:30pm

Plenary Lecture

  • Rational Materials Design
    Konstantin Novoselov (National University of Singapore)
2:30pm- 3:10pm
  • A Machine Learning Enhanced Algorithm for the Optimal Landing Problem
    Yaohua Zang (Zhejiang Uinversity)*; Jihao Long (Princeton University); Xuanxi Zhang (Peking University); Wei Hu (Princeton University); Weinan E (Princeton University); Jiequn Han (Flatiron Institute)
3:10pm- 3:50pm
  • Adaptive sampling methods for learning dynamical systems
    Zichen Zhao (National University of Singapore)*; Qianxiao Li (National University of Singapore)