research
∙
08/24/2023
Learning Only On Boundaries: a Physics-Informed Neural operator for Solving Parametric Partial Differential Equations in Complex Geometries
Recently deep learning surrogates and neural operators have shown promis...
share
research
∙
02/25/2023
Ensemble learning for Physics Informed Neural Networks: a Gradient Boosting approach
While the popularity of physics-informed neural networks (PINNs) is stea...
research
∙
07/27/2022
JDRec: Practical Actor-Critic Framework for Online Combinatorial Recommender System
A combinatorial recommender (CR) system feeds a list of items to a user ...
research
∙
04/29/2022
Gating-adapted Wavelet Multiresolution Analysis for Exposure Sequence Modeling in CTR prediction
The exposure sequence is being actively studied for user interest modeli...
research
∙
01/17/2022
Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework
We propose a general Variational Embedding Learning Framework (VELF) for...
research
∙
03/19/2021
A Physics-Informed Neural Network Framework For Partial Differential Equations on 3D Surfaces: Time-Dependent Problems
In this paper, we show a physics-informed neural network solver for the ...
research
∙
12/14/2020
NVIDIA SimNet^TM: an AI-accelerated multi-physics simulation framework
We present SimNet, an AI-driven multi-physics simulation framework, to a...
research
∙
09/09/2018
