Folgen
Joeri Hermans
Titel
Zitiert von
Zitiert von
Jahr
Likelihood-free MCMC with Amortized Approximate Ratio Estimators
J Hermans, V Begy, G Louppe
arXiv preprint arXiv:1903.04057, 2019
82*2019
Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning
J Brehmer, S Mishra-Sharma, J Hermans, G Louppe, K Cranmer
The Astrophysical Journal 886 (1), 49, 2019
682019
Adversarial variational optimization of non-differentiable simulators
G Louppe, J Hermans, K Cranmer
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
512019
Towards constraining warm dark matter with stellar streams through neural simulation-based inference
J Hermans, N Banik, C Weniger, G Bertone, G Louppe
Monthly Notices of the Royal Astronomical Society 507 (2), 1999-2011, 2021
182021
Distributed keras: Distributed deep learning with apache spark and keras
JR Hermans, C IT-DB
CERN IT-DB, 2016
16*2016
Averting a crisis in simulation-based inference
J Hermans, A Delaunoy, F Rozet, A Wehenkel, G Louppe
arXiv preprint arXiv:2110.06581, 2021
132021
On Scalable Deep Learning and Parallelizing Gradient Descent
JR Hermans
https://cds.cern.ch/record/2276711, 2017
132017
Accumulated gradient normalization
JR Hermans, G Spanakis, R Möckel
Asian Conference on Machine Learning, 439-454, 2017
112017
Hypothesis
J Hermans, V Begy
62019
Gradient energy matching for distributed asynchronous gradient descent
J Hermans, G Louppe
arXiv preprint arXiv:1805.08469, 2018
22018
Developing and optimizing applications in hadoop
P Kothuri, D Garcia, J Hermans
Journal of Physics: Conference Series 898 (7), 072038, 2017
22017
Simulating Data Access Profiles of Computational Jobs in Data Grids
V Begy, J Hermans, M Barisits, M Lassnig, E Schikuta
2019 15th International Conference on eScience (eScience), 394-402, 2019
12019
Advances in Simulation-Based Inference: Towards the automation of the Scientific Method through Learning Algorithms
J Hermans
ULiège-University of Liège [Faculty of Applied Sciences], Belgium, 2022
2022
Probing Dark Matter Substructure with Stellar Streams and Neural Simulation-Based Inference
J Hermans, N Banik, C Weniger, G Bertone, G Louppe
Machine Learning and the Physical Sciences. Workshop at the 34th Conference …, 2020
2020
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–14