2024
2023
2022
2021
2020
2019
2018
2016
2013
- The 2024 Information Theory Month
- Numerical Analysis Seminar - A Spectral Generalized Finite Element Method for Multiscale Problems
- Numerical Analysis Seminar - Multi-fidelity methods for a class of kinetic models with uncertainties
- Numerical Analysis Seminar - Bayesian Approach to Inverse Time-harmonic Acoustic Obstacle Scattering with Phaseless Far-filed Data
2023
- Numerical Analysis Seminar - Efficient, Multimodal, and Derivative-Free Bayesian Sampling with Fisher-Rao Gradient Flows
- Numerical Analysis Seminar - Complete Solution to the Most General Nonlinear Filtering Problems with the Capability of Overcoming the Curse of Dimensionality
- Numerical Analysis Seminar - Optimal Control Formulation of Transition Path Problems for Markov Jump Processes
- Numerical Analysis Seminar - Optimization and Reduced Order Models for Digital Twins
- Numerical Analysis Seminar - Nonlocal multicontinua with representative volume
- Numerical Analysis Seminar - Computational Investigation of Spatiotemporal Dynamics of a Growing Bacterial Colony
- Numerical Analysis Seminar - Physics-guided interpretable data-driven simulations
- Numerical Analysis Seminar - An unified regularization framework for non-line-of-sight imaging
- Numerical Analysis Seminar - From ODE Solvers to Accelerated Optimization Methods
- Numerical Analysis Seminar - DAS-PINNs: A deep adaptive sampling method for solving high-dimensional partial differential equations
- Numerical Analysis Seminar - Quantify the data uncertainty in inverse parabolic source problems
- Numerical Analysis Seminar - Regularized Reduced Order Models (Reg-ROMs) for Turbulent Flows
- Numerical Analysis Seminar - Deterministic-Statistical Approach for Inverse Problems with Partial Data
- Numerical Analysis Seminar - Stochastic fractional diffusion equations with Gaussian noise rough in space
- Numerical Analysis Seminar - Towards Trustworthy Scientific Machine Learning: Theory, Algorithms, and Applications
- Numerical Analysis Seminar - Numerical homogenization of Hamilton-Jacobi-Bellman equations
- Numerical Analysis Seminar - Continuous-in-time Limit for Bayesian Bandits
- Numerical Analysis Seminar - Coupling active sampling and learning with Neural Galerkin schemes for high-dimensional evolution equations
- Numerical Analysis Seminar - (Localized) Model Reduction and Learning for PDE Constrained Optimization
- Numerical Analysis Seminar - Direct sampling method for inverse scattering problems
- Numerical Analysis Seminar - Energy stable methods for phase-field surfactant model and simulation of droplet impact
- Numerical Analysis Seminar - The discrete maximum principle, and positivity-preservation, in finite element methods
- Numerical Analysis Seminar - Scalable multi-fidelity machine learning
- Numerical Analysis Seminar - Super-localized numerical homogenization
- Numerical Analysis Seminar - Defects in Homogenization Theory and related issues: Materials science and multiscale computational approaches
- Numerical Analysis Seminar - An exponential integration generalized multiscale finite element method for parabolic problems
2022
- Numerical Analysis Seminar - Optimal Control Design for Fluid Mixing: from Open-Loop to Closed-Loop
- Numerical Analysis Seminar - Reduced-Order Models in Computational Science and Engineering: fundamentals and applications
- Numerical Analysis Seminar - Physics-informed neural networks for multiscale hyperbolic models for the spatial spread of infectious diseases
- Optimization and Machine Learning Seminar - Lyapunov Stability of the Subgradient Method with Constant Step Size
- Numerical Analysis Seminar - A New Framework for Solving Dynamical Systems
- Numerical Analysis Seminar - Dynamical Low Rank approximation of random time dependent problems
- Numerical Analysis Seminar - A Stochastic Neural Network for uncertainty quantification of deep neural networks
- Numerical Analysis Seminar - Multilevel representations of random fields
- Numerical Analysis Seminar - Conically degenerate spectral points of the periodic Schrödinger operator
- Numerical Analysis Seminar - Energy dissipation preserving Runge-Kutta methods for phase-field models
- Numerical Analysis Seminar - Multiscale Finite Element Methods for advection-diffusion problems
- Numerical Analysis Seminar - Complexes from complexes
- Numerical Analysis Seminar - A deep adaptive sampling method for the approximation of high-dimensional PDEs
- Numerical Analysis Seminar - Low Regularity Integrators for Semilinear Parabolic Equations with Maximum Bound Principles
- Numerical Analysis Seminar - Approximation and conservation of energy in nonlinear Schrödinger equations
- Optimization and Machine Learning Seminar - A Penalty Relaxation Method for Image Processing Using Euler's Elastica Model [Change of Venue]
- Numerical Analysis Seminar - Exponentially convergent multiscale methods based on edge coupling
- Numerical Analysis Seminar - Operator Augmentation for solving noisy linear systems
- Numerical Analysis Seminar - Convergence and Robustness of Gaussian Process Regression
- Numerical Analysis Seminar - On the binary perceptron
- Optimization and Machine Learning Seminar - Riemannian Proximal Gradient Methods
- Numerical Analysis Seminar - Cooperative multi-agent reinforcement learning: a mean-field control perspective
- Optimization and Machine Learning Seminar - Nonnegativity, Sparsity and Polynomial Optimization
- Numerical Analysis Seminar - Fluctuation suppression and enhancement in interacting particle systems
- Numerical Analysis Seminar - Computational multiscale methods for heterogeneous multiscale problems
- Optimization and Machine Learning Seminar - Learning operators using deep neural networks for diverse applications
- Numerical Analysis Seminar - Can Algorithms Collaborate? The Replica Exchange Method and Its Spectral Gap
- Optimization and Machine Learning Seminar - Quadratic error bound of the smoothed gap and the restarted averaged primal-dual hybrid gradient
- Numerical Analysis Seminar - Flow-based domain-decomposition approaches for uncertainty quantification
- Optimization and Machine Learning Seminar - Sum-of-squares hierarchies for polynomial optimization and the Christoffel-Darboux kernel
- Numerical Analysis Seminar - Convergence of Restricted Additive Schwarz method with impedance transmission conditions for discretized Helmholtz problems
- Colloquium - An inexact projected gradient method with rounding and lifting by nonlinear programming for solving rank-one semidefinite relaxation of polynomial optimization
- Numerical Analysis Seminar - Optimal Transport for Learning Chaotic Dynamics via Invariant Measures
- Numerical Analysis Seminar - Data-driven solvers for Hamilton-Jacobi-Bellman PDEs
- Colloquium - Nash Equilibrium Problems
- Numerical Analysis Seminar - An efficient and statistically accurate Lagrangian data assimilation algorithm with applications to discrete element sea ice models
- Optimization and Machine Learning Seminar - Non-convex Bayesian Learning via Stochastic Gradient Markov Chain Monte Carlo
- Numerical Analysis Seminar - Rayleigh--Ritz approximation of the inf-sup constant for the divergence
- Optimization and Machine Learning Seminar - Phase Diagram for Some Hyperparameters in Two-layer Neural Networks
- Numerical Analysis Seminar - Parameter estimation for pedestrian dynamics models
- Optimization and Machine Learning Seminar - Mean field theory in Inverse Problems: from Bayesian inference to overparameterization of networks
- Numerical Analysis Seminar - Compact WENO Limiters for Discontinuous Galerkin Methods
- Optimization and Machine Learning Seminar - Data-driven reduced-order modeling for nonlinear dynamic multiscale problems
- Numerical Analysis Seminar - A parallel-in-time algorithm for a high-order BDF discretization for diffusion and subdiffusion equations
2021
- Numerical Analysis Seminar - A new frame work to quantify the uncertainty in general inverse problems
- Numerical Analysis Seminar - Understanding the Acceleration Phenomenon via High-Resolution Differential Equations ---- The Effect of Gradient Correction
- Numerical Analysis Seminar - Homogenization of linear elliptic equations in nondivergence-form: optimal convergence rates and numerical homogenization
- Numerical Analysis Seminar - Normalizing Field Flow: Solving forward and inverse stochastic differential equations using Physics-Informed flow model
- Numerical Analysis Seminar - On the Diffusive-Mean Field Limit for Weakly Interacting Diffusions Exhibiting Phase Transitions
- Numerical Analysis Seminar - Solving high-dimensional partial differential equations by machine learning: Two cases study
- Numerical Analysis Seminar - Multilevel Markov Chain Monte Carlo Methods for Bayesian Inversion of Partial Differential Equations
- Numerical Analysis Seminar - A New Correlation Inequality for Ising models with external fields
- Numerical Analysis Seminar - Battling Gibbs Phenomenon: On Finite Element Approximations of Discontinuous Solutions of PDEs
- Numerical Analysis Seminar - Parameter-Robust Preconditioning for Stochastic Galerkin Mixed Finite Element Problems
- Numerical Analysis Seminar - Pre-classification based stochastic reduced-order model for time-dependent complex system
- Numerical Analysis Seminar - Numerical integrators for disordered NLS
- Numerical Analysis Seminar - A pressure-robust staggered DG method for the incompressible Navier-Stokes equations on polygonal meshes
- Numerical Analysis Seminar - Non-overlapping spectral additive Schwarz methods
- Numerical Analysis Seminar - Numerical Study of Schrodinger Equations with Random Potentials
- Numerical Analysis Seminar - Finite element approximation of an incompressible chemically reacting non-Newtonian fluid
2020
- Workshop on Scientific Computing and Optimization on Dec 12-13, 2020
- Online Workshop on Data Science on April 18, 2020
- Workshop on Matrix and Tensor Computations on January 22, 2020
2019
- 2019 Workshop on Probability and Information Theory (WPI 2019) on August 19 - 22, 2019
- Workshop on Scientific Computing on August 8, 2019
2018
- Big Data Challenges for Predictive Modeling of Complex Systems on Nov 26 - 30, 2018
- Workshop on Stochastic Analysis and Related Topics on July 3 - 5, 2018
2016
2013