Jeremiah Birrell

Orcid: 0000-0002-2289-4856

According to our database1, Jeremiah Birrell authored at least 11 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Adversarially Robust Deep Learning with Optimal-Transport-Regularized Divergences.
CoRR, 2023

Function-space regularized Rényi divergences.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Optimizing Variational Representations of Divergences and Accelerating Their Statistical Estimation.
IEEE Trans. Inf. Theory, 2022

(f, Gamma)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics.
J. Mach. Learn. Res., 2022

Structure-preserving GANs.
Proceedings of the International Conference on Machine Learning, 2022

2021
Variational Representations and Neural Network Estimation of Rényi Divergences.
SIAM J. Math. Data Sci., 2021

2020
Uncertainty Quantification for Markov Processes via Variational Principles and Functional Inequalities.
SIAM/ASA J. Uncertain. Quantification, 2020

(f, Γ)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics.
CoRR, 2020

A Variational Formula for Rényi Divergences.
CoRR, 2020

2019
Robustness of Dynamical Quantities of Interest via Goal-Oriented Information Theory.
CoRR, 2019

2015
Boltzmann equation solver adapted to emergent chemical non-equilibrium.
J. Comput. Phys., 2015


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