E-LIB Suche - Ergebnisse für: Brandstetter, Johannes

1

Learning Lagrangian Fluid Mechanics with E(3)-Equivariant G..:

, In: Lecture Notes in Computer Science; Geometric Science of Information,

Toshev, Artur P. ; Galletti, Gianluca ; Brandstetter, Johannes.. - p. 332-341 , 2023

2

Uncertainty estimation with deep learningfor rainfall–runof..:

Klotz, Daniel ; Kratzert, Frederik ; Gauch, Martin...
Hydrology and Earth System Sciences. 26 (2022) 6 - p. 1673-1693 , 2022

Link: https://doi.org/10.5194/..

3

XAI and Strategy Extraction via Reward Redistribution:

, In: xxAI - Beyond Explainable AI; Lecture Notes in Computer Science,

Dinu, Marius-Constantin ; Hofmarcher, Markus ; Patil, Vihang P.... - p. 177-205 , 2022

Link: https://doi.org/10.1007/..

4

Quantum Optical Experiments Modeled by Long Short-Term Memo..:

Adler, Thomas ; Erhard, Manuel ; Krenn, Mario...
Photonics. 8 (2021) 12 - p. 535 , 2021

Link: https://doi.org/10.3390/..

5

Convergence Proof for Actor-Critic Methods Applied to PPO a..:

, In: Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVIII; Lecture Notes in Computer Science,

Holzleitner, Markus ; Gruber, Lukas ; Arjona-Medina, José.. - p. 105-130 , 2021

Link: https://doi.org/10.1007/..

6

Higgs boson properties and tests of the Standard Model at C..:

Brandstetter, Johannes
Nuclear and Particle Physics Proceedings. 270-272 (2016) - p. 222-226 , 2016

Link: https://doi.org/10.1016/..

7

ClimaX: A foundation model for weather and climate:

Nguyen, Tung ; Brandstetter, Johannes ; Kapoor, Ashish..
http://arxiv.org/abs/2301.10343. , 2023

Link: http://arxiv.org/abs/230..

8

G-Signatures: Global Graph Propagation With Randomized Sign..:

Schäfl, Bernhard ; Gruber, Lukas ; Brandstetter, Johannes.
http://arxiv.org/abs/2302.08811. , 2023

Link: http://arxiv.org/abs/230..

9

Clifford Group Equivariant Neural Networks:

Ruhe, David ; Brandstetter, Johannes ; Forré, Patrick
http://arxiv.org/abs/2305.11141. , 2023

Link: http://arxiv.org/abs/230..

10

PDE-Refiner: Achieving Accurate Long Rollouts with Neural P..:

Lippe, Phillip ; Veeling, Bastiaan S ; Perdikaris, Paris..
http://arxiv.org/abs/2308.05732. , 2023

Link: http://arxiv.org/abs/230..

11

The role of line managers in the implementation of diversit..:

Brandstetter, Johannes
vignette : https://epub.jku.at/titlepage/urn/urn:nbn:at:at-ubl:1-60699/128. , 2023

Link: https://resolver.obvsg.a..

12

Uncertainty estimation with deep learning for rainfall–runo..:

Klotz, Daniel ; Kratzert, Frederik ; Gauch, Martin...
info:eu-repo/grantAgreement/EC/H2020/956832/. , 2023

Link: https://zenodo.org/recor..

13

E($3$) Equivariant Graph Neural Networks for Particle-Based..:

Toshev, Artur P ; Galletti, Gianluca ; Brandstetter, Johannes..
http://arxiv.org/abs/2304.00150. , 2023

Link: http://arxiv.org/abs/230..

14

Lie Point Symmetry and Physics Informed Networks:

Akhound-Sadegh, Tara ; Perreault-Levasseur, Laurence ; Brandstetter, Johannes..
http://arxiv.org/abs/2311.04293. , 2023

Link: http://arxiv.org/abs/231..

15

Geometric Clifford Algebra Networks:

Ruhe, David ; Gupta, Jayesh K ; de Keninck, Steven..
http://arxiv.org/abs/2302.06594. , 2023

Link: http://arxiv.org/abs/230..