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Latent Task-Specific Graph Network Simulators

Latent Task-Specific Graph Network Simulators

9 November 2023
Philipp Dahlinger
Niklas Freymuth
Michael Volpp
Tai Hoang
Gerhard Neumann
    AI4CE
ArXivPDFHTML

Papers citing "Latent Task-Specific Graph Network Simulators"

8 / 8 papers shown
Title
Learning Controllable Adaptive Simulation for Multi-resolution Physics
Learning Controllable Adaptive Simulation for Multi-resolution Physics
Tailin Wu
Takashi Maruyama
Qingqing Zhao
Gordon Wetzstein
J. Leskovec
PINN
AI4CE
27
19
0
01 May 2023
A Unified Perspective on Natural Gradient Variational Inference with
  Gaussian Mixture Models
A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models
O. Arenz
Philipp Dahlinger
Zihan Ye
Michael Volpp
Gerhard Neumann
39
15
0
23 Sep 2022
DEBOSH: Deep Bayesian Shape Optimization
DEBOSH: Deep Bayesian Shape Optimization
N. Durasov
Artem Lukoyanov
Jonathan Donier
Pascal Fua
UQCV
AI4CE
27
15
0
28 Sep 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
172
1,103
0
27 Apr 2021
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
UQCV
BDL
191
498
0
11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
165
666
0
07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
252
11,677
0
09 Mar 2017
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
260
1,400
0
01 Dec 2016
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