Karsten Kreis
Karsten Kreis
Bestätigte E-Mail-Adresse bei nvidia.com
Titel
Zitiert von
Zitiert von
Jahr
Advantages and challenges in coupling an ideal gas to atomistic models in adaptive resolution simulations
K Kreis, AC Fogarty, K Kremer, R Potestio
The European Physical Journal Special Topics 224 (12), 2289-2304, 2015
422015
Classifying, quantifying, and witnessing qudit-qumode hybrid entanglement
K Kreis, P van Loock
Physical Review A 85 (3), 032307, 2012
422012
Adaptive resolution simulations with self-adjusting high-resolution regions
K Kreis, R Potestio, K Kremer, AC Fogarty
Journal of chemical theory and computation 12 (8), 4067-4081, 2016
282016
A unified framework for force-based and energy-based adaptive resolution simulations
K Kreis, D Donadio, K Kremer, R Potestio
EPL (Europhysics Letters) 108 (3), 30007, 2014
282014
From classical to quantum and back: a Hamiltonian scheme for adaptive multiresolution classical/path-integral simulations
K Kreis, ME Tuckerman, D Donadio, K Kremer, R Potestio
Journal of chemical theory and computation 12 (7), 3030-3039, 2016
222016
ESPResSo++ 2.0: Advanced methods for multiscale molecular simulation
HV Guzman, N Tretyakov, H Kobayashi, AC Fogarty, K Kreis, J Krajniak, ...
Computer Physics Communications 238, 66-76, 2019
192019
Neural geometric level of detail: Real-time rendering with implicit 3D shapes
T Takikawa, J Litalien, K Yin, K Kreis, C Loop, D Nowrouzezahrai, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
152021
Vaebm: A symbiosis between variational autoencoders and energy-based models
Z Xiao, K Kreis, J Kautz, A Vahdat
International Conference on Learning Representations, 2020
122020
From classical to quantum and back: Hamiltonian adaptive resolution path integral, ring polymer, and centroid molecular dynamics
K Kreis, K Kremer, R Potestio, ME Tuckerman
The Journal of chemical physics 147 (24), 244104, 2017
122017
The relative entropy is fundamental to adaptive resolution simulations
K Kreis, R Potestio
The Journal of chemical physics 145 (4), 044104, 2016
122016
Semantic segmentation with generative models: Semi-supervised learning and strong out-of-domain generalization
D Li, J Yang, K Kreis, A Torralba, S Fidler
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
72021
Variational Amodal Object Completion
H Ling, D Acuna, K Kreis, SW Kim, S Fidler
NeurIPS, 2020
32020
Systems and methods for generative machine learning
JT Rolfe, KJ Kreis
US Patent App. 16/270,273, 2019
22019
Score-based Generative Modeling in Latent Space
A Vahdat, K Kreis, J Kautz
arXiv preprint arXiv:2106.05931, 2021
12021
Causal bert: Improving object detection by searching for challenging groups
C Resnick, O Litany, A Kar, K Kreis, J Lucas, K Cho, S Fidler
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
12021
Advanced adaptive resolution methods for molecular simulation
K Kreis
Johannes Gutenberg-Universität Mainz, 2017
12017
ATISS: Autoregressive Transformers for Indoor Scene Synthesis
D Paschalidou, A Kar, M Shugrina, K Kreis, A Geiger, S Fidler
arXiv preprint arXiv:2110.03675, 2021
2021
Differentially Private Generative Models Through Optimal Transport
T Cao, A Bie, K Kreis, S Fidler
2020
Scalable and fast concurrent multiscale molecular simulation with predictive parallelization scheme
HV Guzman, C Junghans, K Kreis, A Fogarty, K Kremer, T Stuehn
APS March Meeting Abstracts 2017, F26. 006, 2017
2017
Reply to comments by R. Klein on Advantages and challenges in coupling an ideal gas to atomistic models in adaptive resolution simulations
K Kreis, AC Fogarty, K Kremer, R Potestio
The European Physical Journal Special Topics 224 (12), 2505-2506, 2015
2015
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