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ORCIDJeremiah Birrell
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2020 – today
- 2024
[i10]Jeremiah Birrell, Markos A. Katsoulakis, Luc Rey-Bellet, Benjamin J. Zhang, Wei Zhu:
Nonlinear denoising score matching for enhanced learning of structured distributions. CoRR abs/2405.15625 (2024)- [i9]Jeremiah Birrell:
Concentration Inequalities for (f,Ɣ)-GANs. CoRR abs/2406.16834 (2024) - [i8]Jeremiah Birrell, Reza Ebrahimi, Rouzbeh Behnia, Jason Pacheco:
Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement. CoRR abs/2408.10456 (2024) - 2023
- [c2]Jeremiah Birrell
, Yannis Pantazis, Paul Dupuis, Luc Rey-Bellet, Markos A. Katsoulakis:
Function-space regularized Rényi divergences. ICLR 2023 - [i7]Jeremiah Birrell, Mohammadreza Ebrahimi:
Adversarially Robust Deep Learning with Optimal-Transport-Regularized Divergences. CoRR abs/2309.03791 (2023) - 2022
- [j5]Jeremiah Birrell, Paul Dupuis, Markos A. Katsoulakis, Yannis Pantazis, Luc Rey-Bellet:
(f, Gamma)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics. J. Mach. Learn. Res. 23: 39:1-39:70 (2022) - [j4]Jeremiah Birrell, Markos A. Katsoulakis, Yannis Pantazis:
Optimizing Variational Representations of Divergences and Accelerating Their Statistical Estimation. IEEE Trans. Inf. Theory 68(7): 4553-4572 (2022) - [c1]Jeremiah Birrell, Markos A. Katsoulakis, Luc Rey-Bellet, Wei Zhu:
Structure-preserving GANs. ICML 2022: 1982-2020 - [i6]Jeremiah Birrell, Markos A. Katsoulakis, Luc Rey-Bellet, Wei Zhu:
Structure-preserving GANs. CoRR abs/2202.01129 (2022) - [i5]Jeremiah Birrell, Yannis Pantazis, Paul Dupuis, Markos A. Katsoulakis, Luc Rey-Bellet:
Function-space regularized Rényi divergences. CoRR abs/2210.04974 (2022) - 2021
- [j3]Jeremiah Birrell, Paul Dupuis, Markos A. Katsoulakis, Luc Rey-Bellet, Jie Wang:
Variational Representations and Neural Network Estimation of Rényi Divergences. SIAM J. Math. Data Sci. 3(4): 1093-1116 (2021) - 2020
- [j2]Jeremiah Birrell, Luc Rey-Bellet:
Uncertainty Quantification for Markov Processes via Variational Principles and Functional Inequalities. SIAM/ASA J. Uncertain. Quantification 8(2): 539-572 (2020) - [i4]Jeremiah Birrell, Markos A. Katsoulakis, Yannis Pantazis:
Optimizing variational representations of divergences and accelerating their statistical estimation. CoRR abs/2006.08781 (2020) - [i3]Jeremiah Birrell, Paul Dupuis, Markos A. Katsoulakis, Luc Rey-Bellet, Jie Wang:
A Variational Formula for Rényi Divergences. CoRR abs/2007.03814 (2020) - [i2]Jeremiah Birrell, Paul Dupuis, Markos A. Katsoulakis, Yannis Pantazis, Luc Rey-Bellet:
(f, Γ)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics. CoRR abs/2011.05953 (2020)
2010 – 2019
- 2019
- [i1]Jeremiah Birrell, Markos A. Katsoulakis, Luc Rey-Bellet:
Robustness of Dynamical Quantities of Interest via Goal-Oriented Information Theory. CoRR abs/1906.09282 (2019) - 2015
- [j1]Jeremiah Birrell, Jon Wilkening, Johann Rafelski:
Boltzmann equation solver adapted to emergent chemical non-equilibrium. J. Comput. Phys. 281: 896-916 (2015)
Coauthor Index
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