Karsten Kreis
Title
Cited by
Cited by
Year
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
402015
Classifying, quantifying, and witnessing qudit-qumode hybrid entanglement
K Kreis, P van Loock
Physical Review A 85 (3), 032307, 2012
382012
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
252014
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
232016
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
212016
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
102019
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
102017
The relative entropy is fundamental to adaptive resolution simulations
K Kreis, R Potestio
The Journal of chemical physics 145 (4), 044104, 2016
92016
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models
Z Xiao, K Kreis, J Kautz, A Vahdat
arXiv preprint arXiv:2010.00654, 2020
42020
Neural geometric level of detail: Real-time rendering with implicit 3D shapes
T Takikawa, J Litalien, K Yin, K Kreis, C Loop, D Nowrouzezahrai, ...
arXiv preprint arXiv:2101.10994, 2021
32021
Advanced adaptive resolution methods for molecular simulation
K Kreis
Johannes Gutenberg-Universitšt Mainz, 2017
12017
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization
D Li, J Yang, K Kreis, A Torralba, S Fidler
arXiv preprint arXiv:2104.05833, 2021
2021
Variational Amodal Object Completion
H Ling, D Acuna, K Kreis, SW Kim, S Fidler
Advances in Neural Information Processing Systems 33, 2020
2020
Systems and methods for generative machine learning
JT Rolfe, KJ Kreis
US Patent App. 16/270,273, 2019
2019
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
A Hamiltonian theory of adaptive resolution simulations of classical and quantum models of nuclei
K Kreis, D Donadio, K Kremer, R Potestio
APS March Meeting Abstracts 2015, T23. 002, 2015
2015
Characterizing And Exploiting Hybrid Entanglement
K Kreis
arXiv preprint arXiv:1211.2880, 2012
2012
Supplementary Material: Variational Amodal Object Completion
H Ling, D Acuna, K Kreis, SW Kim, S Fidler
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Articles 1–19