Damian Podareanu
Damian Podareanu
Consultant, SURF
Verified email at surf.nl
Title
Cited by
Cited by
Year
Scale out for large minibatch SGD: Residual network training on ImageNet-1K with improved accuracy and reduced time to train
V Codreanu, D Podareanu, V Saletore
arXiv preprint arXiv:1711.04291, 2017
532017
Event generation and statistical sampling for physics with deep generative models and a density information buffer
S Otten, S Caron, W de Swart, M van Beekveld, L Hendriks, ...
Nature communications 12 (1), 1-16, 2021
362021
Netsquid, a network simulator for quantum information using discrete events
T Coopmans, R Knegjens, A Dahlberg, D Maier, L Nijsten, ...
Communications Physics 4 (1), 1-15, 2021
152021
NetSquid, a discrete-event simulation platform for quantum networks
T Coopmans, R Knegjens, A Dahlberg, D Maier, L Nijsten, J Oliveira, ...
arXiv preprint arXiv:2010.12535, 2020
132020
Predicting atmospheric optical properties for radiative transfer computations using neural networks
MA Veerman, R Pincus, R Stoffer, CM Van Leeuwen, D Podareanu, ...
Philosophical Transactions of the Royal Society A 379 (2194), 20200095, 2021
122021
Event generation and statistical sampling for physics with deep generative models and a density information buffer (2019)
S Otten, S Caron, W de Swart, M van Beekveld, L Hendriks, ...
arXiv preprint arXiv:1901.00875, 0
10
Distributed training of generative adversarial networks for fast detector simulation
S Vallecorsa, F Carminati, G Khattak, D Podareanu, V Codreanu, ...
International Conference on High Performance Computing, 487-503, 2018
72018
Large minibatch training on supercomputers with improved accuracy and reduced time to train
V Codreanu, D Podareanu, V Saletore
2018 IEEE/ACM Machine Learning in HPC Environments (MLHPC), 67-76, 2018
42018
Multi_scale_tools: a python library to exploit multi-scale whole slide images
N Marini, S Otálora, D Podareanu, M van Rijthoven, J van der Laak, ...
Frontiers in Computer Science 68, 2021
32021
Generative Adversarial Networks for Fast Simulation: distributed training and generalisation
F Carminati, G Khattak, S Vallecorsa, V Codreanu, D Podareanu, M Cai, ...
32019
Densifying assumed-sparse tensors
D Cavdar, V Codreanu, C Karakus, JA Lockman, D Podareanu, ...
International Conference on High Performance Computing, 23-39, 2019
32019
Development of a large-eddy simulation subgrid model based on artificial neural networks: a case study of turbulent channel flow
R Stoffer, CM van Leeuwen, D Podareanu, V Codreanu, MA Veerman, ...
Geoscientific Model Development 14 (6), 3769-3788, 2021
12021
Development of a large-eddy simulation subgrid model based on artificial neural networks: a case study of turbulent channel flow
R Stoffer, CM Van Leeuwen, D Podareanu, V Codreanu, MA Veerman, ...
Geoscientific Model Development 14 (6), 3769-3788, 2021
12021
DeepGalaxy: Deducing the Properties of Galaxy Mergers from Images Using Deep Neural Networks
MX Cai, J Bédorf, VA Saletore, V Codreanu, D Podareanu, A Chaibi, ...
2020 IEEE/ACM Fourth Workshop on Deep Learning on Supercomputers (DLS), 56-62, 2020
12020
Best Practice Guide-Deep Learning
D Podareanu, V Codreanu, TUM Sandra Aigner, GC van Leeuwen, ...
Feb, 2019
12019
Event Generation and Statistical Sampling with Deep Generative Models
S Otten, S Caron, W de Swart, M van Beekveld, L Hendriks, ...
arXiv preprint arXiv:1901.00875, 0
1
Neural Symplectic Integrator with Hamiltonian Inductive Bias for the Gravitational -body Problem
MX Cai, SP Zwart, D Podareanu
arXiv preprint arXiv:2111.15631, 2021
2021
A Holistic Analysis of Datacenter Operations: Resource Usage, Energy, and Workload Characterization--Extended Technical Report
L Versluis, M Cetin, C Greeven, K Laursen, D Podareanu, V Codreanu, ...
arXiv preprint arXiv:2107.11832, 2021
2021
Deep-learning enhancement of large scale numerical simulations
C van Leeuwen, D Podareanu, V Codreanu, MX Cai, A Berg, SP Zwart, ...
arXiv preprint arXiv:2004.03454, 2020
2020
Large-eddy simulation subgrid modelling using neural networks
R Stoffer, C van Leeuwen, D Podareanu, V Codreanu, M Veerman, ...
EGU2020, 2020
2020
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Articles 1–20