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Explore and Exploit with Heterotic Line Bundle Models

Explore and Exploit with Heterotic Line Bundle Models

Fortschritte der Physik (Fortschr. Phys.), 2020
10 March 2020
Magdalena Larfors
Robin Schneider
ArXiv (abs)PDFHTML

Papers citing "Explore and Exploit with Heterotic Line Bundle Models"

23 / 23 papers shown
A Triumvirate of AI Driven Theoretical Discovery
A Triumvirate of AI Driven Theoretical Discovery
Yang-Hui He
AI4CE
310
18
0
30 May 2024
Deep Learning Calabi-Yau four folds with hybrid and recurrent neural
  network architectures
Deep Learning Calabi-Yau four folds with hybrid and recurrent neural network architectures
H. L. Dao
347
1
0
27 May 2024
Deep learning complete intersection Calabi-Yau manifolds
Deep learning complete intersection Calabi-Yau manifolds
Harold Erbin
Riccardo Finotello
247
6
0
20 Nov 2023
Decoding Nature with Nature's Tools: Heterotic Line Bundle Models of
  Particle Physics with Genetic Algorithms and Quantum Annealing
Decoding Nature with Nature's Tools: Heterotic Line Bundle Models of Particle Physics with Genetic Algorithms and Quantum AnnealingFortschritte der Physik (Fortschr. Phys.), 2023
Steve Abel
A. Constantin
T. R. Harvey
A. Lukas
Luca A. Nutricati
272
12
0
05 Jun 2023
Characterizing 4-string contact interaction using machine learning
Characterizing 4-string contact interaction using machine learningJournal of High Energy Physics (JHEP), 2022
Harold Erbin
Atakan Hilmi Fırat
254
16
0
16 Nov 2022
Machine Learning on generalized Complete Intersection Calabi-Yau
  Manifolds
Machine Learning on generalized Complete Intersection Calabi-Yau Manifolds
W. Cui
Xing Gao
Juntao Wang
267
7
0
21 Sep 2022
A Genetic Quantum Annealing Algorithm
A Genetic Quantum Annealing Algorithm
Steve Abel
Luca A. Nutricati
M. Spannowsky
215
3
0
15 Sep 2022
Intelligent Explorations of the String Theory Landscape
Intelligent Explorations of the String Theory Landscape
A. Constantin
LRM
355
5
0
17 Apr 2022
Machine Learning Kreuzer--Skarke Calabi--Yau Threefolds
Machine Learning Kreuzer--Skarke Calabi--Yau Threefolds
Per Berglund
Ben Campbell
Vishnu Jejjala
200
20
0
16 Dec 2021
Heterotic String Model Building with Monad Bundles and Reinforcement
  Learning
Heterotic String Model Building with Monad Bundles and Reinforcement Learning
A. Constantin
T. R. Harvey
A. Lukas
215
27
0
16 Aug 2021
Deep multi-task mining Calabi-Yau four-folds
Deep multi-task mining Calabi-Yau four-folds
Harold Erbin
Riccardo Finotello
Robin Schneider
M. Tamaazousti
345
18
0
04 Aug 2021
Machine-Learning Mathematical Structures
Machine-Learning Mathematical Structures
Yang-Hui He
263
45
0
15 Jan 2021
Machine Learning Lie Structures & Applications to Physics
Machine Learning Lie Structures & Applications to PhysicsPhysics Letters B (PLB), 2020
Heng-Yu Chen
Yang-Hui He
Shailesh Lal
Suvajit Majumder
AI4CE
292
21
0
02 Nov 2020
Graph Laplacians, Riemannian Manifolds and their Machine-Learning
Graph Laplacians, Riemannian Manifolds and their Machine-Learning
Yang-Hui He
S. Yau
323
31
0
30 Jun 2020
Machine Learning String Standard Models
Machine Learning String Standard Models
R. Deen
Yang-Hui He
Seung-Joo Lee
A. Lukas
220
30
0
30 Mar 2020
Deep Reinforcement Learning that Matters
Deep Reinforcement Learning that Matters
Peter Henderson
Riashat Islam
Philip Bachman
Joelle Pineau
Doina Precup
David Meger
OffRL
775
2,255
0
19 Sep 2017
Scalable trust-region method for deep reinforcement learning using
  Kronecker-factored approximation
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation
Yuhuai Wu
Elman Mansimov
Shun Liao
Roger C. Grosse
Jimmy Ba
OffRL
466
667
0
17 Aug 2017
Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for
  Continuous Control
Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control
Riashat Islam
Peter Henderson
Maziar Gomrokchi
Doina Precup
BDLOffRL
359
275
0
10 Aug 2017
Deep-Learning the Landscape
Deep-Learning the Landscape
Yang-Hui He
AI4CE
225
106
0
08 Jun 2017
An overview of gradient descent optimization algorithms
An overview of gradient descent optimization algorithms
Sebastian Ruder
ODL
1.2K
6,867
0
15 Sep 2016
OpenAI Gym
OpenAI Gym
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
OffRLODL
745
5,497
0
05 Jun 2016
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
897
9,865
0
04 Feb 2016
Going Deeper with Convolutions
Going Deeper with ConvolutionsComputer Vision and Pattern Recognition (CVPR), 2014
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
4.2K
46,879
0
17 Sep 2014
1
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