research
∙
11/24/2022
End-to-end Wind Turbine Wake Modelling with Deep Graph Representation Learning
Wind turbine wake modelling is of crucial importance to accurate resourc...
share
research
∙
07/22/2022
E2N: Error Estimation Networks for Goal-Oriented Mesh Adaptation
Given a partial differential equation (PDE), goal-oriented error estimat...
research
∙
06/21/2022
Learning to Estimate and Refine Fluid Motion with Physical Dynamics
Extracting information on fluid motion directly from images is challengi...
research
∙
06/06/2022
Complex Locomotion Skill Learning via Differentiable Physics
Differentiable physics enables efficient gradient-based optimizations of...
research
∙
04/24/2022
M2N: Mesh Movement Networks for PDE Solvers
Mainstream numerical Partial Differential Equation (PDE) solvers require...
research
∙
10/19/2021
Aesthetic Photo Collage with Deep Reinforcement Learning
Photo collage aims to automatically arrange multiple photos on a given c...
research
∙
05/07/2021
Scalable Projection-Free Optimization
As a projection-free algorithm, Frank-Wolfe (FW) method, also known as c...
research
∙
03/01/2021
IntelliGen: Automatic Driver Synthesis for FuzzTesting
Fuzzing is a technique widely used in vulnerability detection. The proce...
research
∙
07/28/2020
Unsupervised Learning of Particle Image Velocimetry
Particle Image Velocimetry (PIV) is a classical flow estimation problem ...
research
∙
02/11/2020
More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models
Despite remarkable success in practice, modern machine learning models h...
research
∙
10/28/2019
Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback
In this paper, we propose three online algorithms for submodular maximis...
research
∙
10/10/2019
One Sample Stochastic Frank-Wolfe
One of the beauties of the projected gradient descent method lies in its...
research
∙
02/17/2019
Quantized Frank-Wolfe: Communication-Efficient Distributed Optimization
How can we efficiently mitigate the overhead of gradient communications ...
research
∙
01/28/2019
Black Box Submodular Maximization: Discrete and Continuous Settings
In this paper, we consider the problem of black box continuous submodula...
research
∙
05/18/2018