Luc Rey-Bellet

36 papers A* 3Journal 33

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Statistical Guarantees of Group-Invariant GANs. SIAM/ASA J. Uncertain. Quantification Ziyu Chen, Markos A. Katsoulakis, Luc Rey-Bellet, Wei Zhu
2024	J	`jnl`	Combining Wasserstein-1 and Wasserstein-2 proximals: robust manifold learning via well-posed generative flows. CoRR Hyemin Gu, Markos A. Katsoulakis, Luc Rey-Bellet, Benjamin J. Zhang
2024	J	`jnl`	Learning heavy-tailed distributions with Wasserstein-proximal-regularized α-divergences. CoRR Ziyu Chen, Hyemin Gu, Markos A. Katsoulakis, Luc Rey-Bellet, Wei Zhu
2024	J	`jnl`	Lipschitz-Regularized Gradient Flows and Generative Particle Algorithms for High-Dimensional Scarce Data. SIAM J. Math. Data Sci. Hyemin Gu, Panagiota Birmpa, Yannis Pantazis, Luc Rey-Bellet, Markos A. Katsoulakis
2024	J	`jnl`	Nonlinear denoising score matching for enhanced learning of structured distributions. CoRR Jeremiah Birrell, Markos A. Katsoulakis, Luc Rey-Bellet, Benjamin J. Zhang, Wei Zhu
2023	A*	`conf`	Function-space regularized Rényi divergences. ICLR Jeremiah Birrell, Yannis Pantazis, Paul Dupuis, Luc Rey-Bellet, Markos A. Katsoulakis
2023	A*	`conf`	Sample Complexity of Probability Divergences under Group Symmetry. ICML Ziyu Chen, Markos A. Katsoulakis, Luc Rey-Bellet, Wei Zhu
2023	J	`jnl`	Statistical Guarantees of Group-Invariant GANs. CoRR Ziyu Chen, Markos A. Katsoulakis, Luc Rey-Bellet, Wei Zhu
2022	J	`jnl`	(f, Gamma)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics. J. Mach. Learn. Res. Jeremiah Birrell, Paul Dupuis, Markos A. Katsoulakis, Yannis Pantazis, Luc Rey-Bellet
2022	J	`jnl`	Function-space regularized Rényi divergences. CoRR Jeremiah Birrell, Yannis Pantazis, Paul Dupuis, Markos A. Katsoulakis, Luc Rey-Bellet
2022	J	`jnl`	Lipschitz regularized gradient flows and latent generative particles. CoRR Hyemin Gu, Panagiota Birmpa, Yannis Pantazis, Luc Rey-Bellet, Markos A. Katsoulakis
2022	J	`jnl`	Model Uncertainty and Correctability for Directed Graphical Models. SIAM/ASA J. Uncertain. Quantification Panagiota Birmpa, Jinchao Feng, Markos A. Katsoulakis, Luc Rey-Bellet
2022	A*	`conf`	Structure-preserving GANs. ICML Jeremiah Birrell, Markos A. Katsoulakis, Luc Rey-Bellet, Wei Zhu
2022	J	`jnl`	Structure-preserving GANs. CoRR Jeremiah Birrell, Markos A. Katsoulakis, Luc Rey-Bellet, Wei Zhu
2021	J	`jnl`	Model Uncertainty and Correctability for Directed Graphical Models. CoRR Panagiota Birmpa, Jinchao Feng, Markos A. Katsoulakis, Luc Rey-Bellet
2021	J	`jnl`	Positive feedback in coordination games: Stochastic evolutionary dynamics and the logit choice rule. Games Econ. Behav. Sung-Ha Hwang, Luc Rey-Bellet
2021	J	`jnl`	Variational Representations and Neural Network Estimation of Rényi Divergences. SIAM J. Math. Data Sci. Jeremiah Birrell, Paul Dupuis, Markos A. Katsoulakis, Luc Rey-Bellet, Jie Wang
2020	J	`jnl`	(f, Γ)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics. CoRR Jeremiah Birrell, Paul Dupuis, Markos A. Katsoulakis, Yannis Pantazis, Luc Rey-Bellet
2020	J	`jnl`	A Variational Formula for Rényi Divergences. CoRR Jeremiah Birrell, Paul Dupuis, Markos A. Katsoulakis, Luc Rey-Bellet, Jie Wang
2020	J	`jnl`	How Biased Is Your Model? Concentration Inequalities, Information and Model Bias. IEEE Trans. Inf. Theory Konstantinos Gourgoulias, Markos A. Katsoulakis, Luc Rey-Bellet, Jie Wang
2020	J	`jnl`	Strategic decompositions of normal form games: Zero-sum games and potential games. Games Econ. Behav. Sung-Ha Hwang, Luc Rey-Bellet
2020	J	`jnl`	Uncertainty Quantification for Markov Processes via Variational Principles and Functional Inequalities. SIAM/ASA J. Uncertain. Quantification Jeremiah Birrell, Luc Rey-Bellet
2019	J	`jnl`	Robustness of Dynamical Quantities of Interest via Goal-Oriented Information Theory. CoRR Jeremiah Birrell, Markos A. Katsoulakis, Luc Rey-Bellet
2017	J	`jnl`	How biased is your model? Concentration Inequalities, Information and Model Bias. CoRR Konstantinos Gourgoulias, Markos A. Katsoulakis, Luc Rey-Bellet, Jie Wang
2017	J	`jnl`	Information criteria for quantifying loss of reversibility in parallelized KMC. J. Comput. Phys. Konstantinos Gourgoulias, Markos A. Katsoulakis, Luc Rey-Bellet
2017	J	`jnl`	Positive feedback in coordination games: stochastic evolutionary dynamics and the logit choice rule. CoRR Sung-Ha Hwang, Luc Rey-Bellet
2017	J	`jnl`	Scalable information inequalities for uncertainty quantification. J. Comput. Phys. Markos A. Katsoulakis, Luc Rey-Bellet, Jie Wang
2016	J	`jnl`	Information Criteria for quantifying loss of reversibility in parallelized KMC. CoRR Konstantinos Gourgoulias, Markos A. Katsoulakis, Luc Rey-Bellet
2016	J	`jnl`	Information Metrics For Long-Time Errors in Splitting Schemes For Stochastic Dynamics and Parallel Kinetic Monte Carlo. SIAM J. Sci. Comput. Konstantinos Gourgoulias, Markos A. Katsoulakis, Luc Rey-Bellet
2016	J	`jnl`	Scalable Information Inequalities for Uncertainty Quantification. CoRR Markos A. Katsoulakis, Luc Rey-Bellet, Jie Wang
2016	J	`jnl`	Simple Characterizations of Potential Games and Zero-sum Games. CoRR Sung-Ha Hwang, Luc Rey-Bellet
2016	J	`jnl`	Strategic Decompositions of Normal Form Games: Zero-sum Games and Potential Games. CoRR Sung-Ha Hwang, Luc Rey-Bellet
2014	J	`jnl`	Coarse-graining schemes for stochastic lattice systems with short and long-range interactions. Math. Comput. Markos A. Katsoulakis, Petr Plechác, Luc Rey-Bellet, Dimitrios K. Tsagkarogiannis
2011	J	`jnl`	Decompositions of two player games: potential, zero-sum, and stable games CoRR Sung-Ha Hwang, Luc Rey-Bellet
2008	J	`jnl`	Multibody Interactions in Coarse-Graining Schemes for Extended Systems. SIAM J. Sci. Comput. Sasanka Are, Markos A. Katsoulakis, Petr Plechác, Luc Rey-Bellet
2008	J	`jnl`	Numerical and Statistical Methods for the Coarse-Graining of Many-Particle Stochastic Systems. J. Sci. Comput. Markos A. Katsoulakis, Petr Plechác, Luc Rey-Bellet