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Discovering Symbolic Models from Deep Learning with Inductive Biases

Discovering Symbolic Models from Deep Learning with Inductive Biases

19 June 2020
M. Cranmer
Alvaro Sanchez-Gonzalez
Peter W. Battaglia
Rui Xu
Kyle Cranmer
D. Spergel
S. Ho
    AI4CE
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Papers citing "Discovering Symbolic Models from Deep Learning with Inductive Biases"

5 / 105 papers shown
Title
Learning Symbolic Physics with Graph Networks
Learning Symbolic Physics with Graph Networks
M. Cranmer
Rui Xu
Peter W. Battaglia
S. Ho
PINN
AI4CE
191
84
0
12 Sep 2019
Machine learning for neural decoding
Machine learning for neural decoding
Joshua I. Glaser
Ari S. Benjamin
Raeed H. Chowdhury
M. Perich
L. Miller
Konrad Paul Kording
33
242
0
02 Aug 2017
A Compositional Object-Based Approach to Learning Physical Dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael Chang
T. Ullman
Antonio Torralba
J. Tenenbaum
AI4CE
OCL
241
439
0
01 Dec 2016
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
283
1,401
0
01 Dec 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
261
3,243
0
24 Nov 2016
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