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Jeremiah Birrell

About Jeremiah Birrell

Jeremiah Birrell, With an exceptional h-index of 12 and a recent h-index of 9 (since 2020), a distinguished researcher at University of Massachusetts Amherst, specializes in the field of statistical learning theory, stochastic differential equations, general relativistic kinetic theory.

His recent articles reflect a diverse array of research interests and contributions to the field:

Adversarially Robust Deep Learning with Optimal-Transport-Regularized Divergences

A short survey of matter-antimatter evolution in the primordial universe

Function-space regularized Rényi divergences

Optimizing variational representations of divergences and accelerating their statistical estimation

Structure-preserving gans

(f, Gamma)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics

A Variance Reduction Method for Neural-based Divergence Estimation

Variational representations and neural network estimation of Rényi divergences

Jeremiah Birrell Information

University

Position

Visiting Assistant Professor

Citations(all)

394

Citations(since 2020)

261

Cited By

218

hIndex(all)

12

hIndex(since 2020)

9

i10Index(all)

13

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Jeremiah Birrell Skills & Research Interests

statistical learning theory

stochastic differential equations

general relativistic kinetic theory

Top articles of Jeremiah Birrell

Adversarially Robust Deep Learning with Optimal-Transport-Regularized Divergences

arXiv preprint arXiv:2309.03791

2023/9/7

Jeremiah Birrell
Jeremiah Birrell

H-Index: 8

Mohammadreza Ebrahimi
Mohammadreza Ebrahimi

H-Index: 2

A short survey of matter-antimatter evolution in the primordial universe

2023/6/27

Jeremiah Birrell
Jeremiah Birrell

H-Index: 8

Function-space regularized Rényi divergences

2023

Jeremiah Birrell
Jeremiah Birrell

H-Index: 8

Luc Rey-Bellet
Luc Rey-Bellet

H-Index: 17

Optimizing variational representations of divergences and accelerating their statistical estimation

IEEE Transactions on Information Theory

2022/3/18

Jeremiah Birrell
Jeremiah Birrell

H-Index: 8

Structure-preserving gans

2022/7

Jeremiah Birrell
Jeremiah Birrell

H-Index: 8

Luc Rey-Bellet
Luc Rey-Bellet

H-Index: 17

Wei Zhu
Wei Zhu

H-Index: 4

(f, Gamma)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics

Journal of machine learning research

2022

Jeremiah Birrell
Jeremiah Birrell

H-Index: 8

Luc Rey-Bellet
Luc Rey-Bellet

H-Index: 17

A Variance Reduction Method for Neural-based Divergence Estimation

2021/10/6

Jeremiah Birrell
Jeremiah Birrell

H-Index: 8

Dipjyoti Paul
Dipjyoti Paul

H-Index: 6

Anastasios Tsourtis
Anastasios Tsourtis

H-Index: 3

Variational representations and neural network estimation of Rényi divergences

SIAM Journal on Mathematics of Data Science

2021

Jeremiah Birrell
Jeremiah Birrell

H-Index: 8

Luc Rey-Bellet
Luc Rey-Bellet

H-Index: 17

Jie Wang
Jie Wang

H-Index: 19

Quantification of model uncertainty on path-space via goal-oriented relative entropy

ESAIM: Mathematical Modelling and Numerical Analysis

2021/1/1

Jeremiah Birrell
Jeremiah Birrell

H-Index: 8

Luc Rey-Bellet
Luc Rey-Bellet

H-Index: 17

Distributionally Robust Variance Minimization: Tight Variance Bounds over -Divergence Neighborhoods

arXiv preprint arXiv:2009.09264

2020/9/19

Jeremiah Birrell
Jeremiah Birrell

H-Index: 8

AVariational FORMULA FOR Renyi DIVERGENCES

stat

2020/7/9

Jeremiah Birrell
Jeremiah Birrell

H-Index: 8

Luc Rey-Bellet
Luc Rey-Bellet

H-Index: 17

Jie Wang
Jie Wang

H-Index: 19

Langevin equations in the small-mass limit: Higher-order approximations

Annales Henri Poincaré

2020/6

Jeremiah Birrell
Jeremiah Birrell

H-Index: 8

Uncertainty quantification for Markov processes via variational principles and functional inequalities

SIAM/ASA Journal on Uncertainty Quantification

2020

Jeremiah Birrell
Jeremiah Birrell

H-Index: 8

Luc Rey-Bellet
Luc Rey-Bellet

H-Index: 17

See List of Professors in Jeremiah Birrell University(University of Massachusetts Amherst)