Markos A. Katsoulakis
University of Massachusetts Amherst
H-index: 33
North America-United States
Top articles of Markos A. Katsoulakis
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Wasserstein proximal operators describe score-based generative models and resolve memorization | arXiv preprint arXiv:2402.06162 | Benjamin J Zhang Siting Liu Wuchen Li Markos A Katsoulakis Stanley J Osher | 2024/2/9 |
Sample complexity of probability divergences under group symmetry | Ziyu Chen Markos Katsoulakis Luc Rey-Bellet Wei Zhu | 2023/7/3 | |
Statistical Guarantees of Group-Invariant GANs | arXiv preprint arXiv:2305.13517 | Ziyu Chen Markos A Katsoulakis Luc Rey-Bellet Wei Zhu | 2023/5/22 |
A mean-field games laboratory for generative modeling | arXiv preprint arXiv:2304.13534 | Benjamin J Zhang Markos A Katsoulakis | 2023/4/26 |
Function-space regularized R\'enyi divergences | arXiv preprint arXiv:2210.04974 | Jeremiah Birrell Yannis Pantazis Paul Dupuis Markos A Katsoulakis Luc Rey-Bellet | 2022/10/10 |
(f, Gamma)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics | Journal of machine learning research | Jeremiah Birrell Paul Dupuis Markos A Katsoulakis Yannis Pantazis Luc Rey-Bellet | 2022 |
Lipschitz regularized gradient flows and latent generative particles | Hyemin Gu Panagiota Birmpa Yannis Pantazis Markos Katsoulakis Luc Rey-Bellet | 2022/9/29 | |
Structure-preserving GANs | Jeremiah Birrell Markos Katsoulakis Luc Rey-Bellet Wei Zhu | 2022/7 | |
Cumulant gan | IEEE Transactions on Neural Networks and Learning Systems | Yannis Pantazis Dipjyoti Paul Michail Fasoulakis Yannis Stylianou Markos A Katsoulakis | 2022/4/6 |
Model uncertainty and correctability for directed graphical models | SIAM/ASA Journal on Uncertainty Quantification | Panagiota Birmpa Jinchao Feng Markos A Katsoulakis Luc Rey-Bellet | 2022/12/31 |
Optimizing variational representations of divergences and accelerating their statistical estimation | IEEE Transactions on Information Theory | Jeremiah Birrell Markos A Katsoulakis Yannis Pantazis | 2022/3/18 |
Lipschitz-regularized gradient flows and generative particle algorithms for high-dimensional scarce data | arXiv preprint arXiv:2210.17230 | Hyemin Gu Panagiota Birmpa Yannis Pantazis Luc Rey-Bellet Markos A Katsoulakis | 2022/10/31 |
Graph-informed neural networks | Søren Taverniers Eric Joseph Hall Markos A Katsoulakis Daniel M Tartakovsky | 2021/3 | |
Mutual information for explainable deep learning of multiscale systems | Journal of Computational Physics | Søren Taverniers Eric J Hall Markos A Katsoulakis Daniel M Tartakovsky | 2021/11/1 |
Variational representations and neural network estimation of Rényi divergences | SIAM Journal on Mathematics of Data Science | Jeremiah Birrell Paul Dupuis Markos A Katsoulakis Luc Rey-Bellet Jie Wang | 2021 |
A Variance Reduction Method for Neural-based Divergence Estimation | Jeremiah Birrell Markos A Katsoulakis Yannis Pantazis Dipjyoti Paul Anastasios Tsourtis | 2021/10/6 | |
Quantification of model uncertainty on path-space via goal-oriented relative entropy | ESAIM: Mathematical Modelling and Numerical Analysis | Jeremiah Birrell Markos A Katsoulakis Luc Rey-Bellet | 2021/1/1 |
Uncertainty quantification and error propagation in the enthalpy and entropy of surface reactions arising from a single DFT functional | The Journal of Physical Chemistry C | Gerhard R Wittreich Geun Ho Gu Daniel J Robinson Markos A Katsoulakis Dionisios G Vlachos | 2021/8/11 |
Uncertainty quantification for Markov random fields | SIAM/ASA Journal on Uncertainty Quantification | Panagiota Birmpa Markos A Katsoulakis | 2021 |
Ginns: Graph-informed neural networks for multiscale physics | Journal of Computational Physics | Eric J Hall Søren Taverniers Markos A Katsoulakis Daniel M Tartakovsky | 2021/5/15 |
Co-Authors
