Julia Kempe

Julia Kempe

New York University

H-index: 36

North America-United States

About Julia Kempe

Julia Kempe, With an exceptional h-index of 36 and a recent h-index of 23 (since 2020), a distinguished researcher at New York University, specializes in the field of Quantum Computation, Machine Learning.

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

Embarassingly Simple Dataset Distillation

Robust Data Pruning: Uncovering and Overcoming Implicit Bias

Mind the GAP: Improving Robustness to Subpopulation Shifts with Group-Aware Priors

Model Collapse Demystified: The Case of Regression

A Tale of Tails: Model Collapse as a Change of Scaling Laws

Deconstructing the Goldilocks Zone of Neural Network Initialization

Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks

Connectivity matters: Neural network pruning through the lens of effective sparsity

Julia Kempe Information

University

Position

CDS and Courant Institute

Citations(all)

12815

Citations(since 2020)

3624

Cited By

10436

hIndex(all)

36

hIndex(since 2020)

23

i10Index(all)

55

i10Index(since 2020)

33

Email

University Profile Page

New York University

Google Scholar

View Google Scholar Profile

Julia Kempe Skills & Research Interests

Quantum Computation

Machine Learning

Top articles of Julia Kempe

Title

Journal

Author(s)

Publication Date

Embarassingly Simple Dataset Distillation

Yunzhen Feng

Ramakrishna Vedantam

Julia Kempe

2024

Robust Data Pruning: Uncovering and Overcoming Implicit Bias

arXiv preprint arXiv:2404.05579

Artem Vysogorets

Kartik Ahuja

Julia Kempe

2024/4/8

Mind the GAP: Improving Robustness to Subpopulation Shifts with Group-Aware Priors

Tim GJ Rudner

Ya Shi Zhang

Andrew Gordon Wilson

Julia Kempe

2024/5

Model Collapse Demystified: The Case of Regression

arXiv preprint arXiv:2402.07712

Elvis Dohmatob

Yunzhen Feng

Julia Kempe

2024/2/12

A Tale of Tails: Model Collapse as a Change of Scaling Laws

arXiv preprint arXiv:2402.07043

Elvis Dohmatob

Yunzhen Feng

Pu Yang

Francois Charton

Julia Kempe

2024/2/10

Deconstructing the Goldilocks Zone of Neural Network Initialization

arXiv preprint arXiv:2402.03579

Artem Vysogorets

Anna Dawid

Julia Kempe

2024/2/5

Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks

arXiv preprint arXiv:2404.19640

Yunzhen Feng

Tim GJ Rudner

Nikolaos Tsilivis

Julia Kempe

2024/4/27

Connectivity matters: Neural network pruning through the lens of effective sparsity

Journal of Machine Learning Research

Artem Vysogorets

Julia Kempe

2023

Discovering Galaxy Features via Dataset Distillation

Haowen Guan

Xuan Zhao

Zishi Wang

Zhiyang Li

Julia Kempe

2023/11/29

On the Robustness of Neural Collapse and the Neural Collapse of Robustness

arXiv preprint arXiv:2311.07444

Jingtong Su

Ya Shi Zhang

Nikolaos Tsilivis

Julia Kempe

2023/11/13

Attacking Bayes: Are Bayesian Neural Networks Inherently Robust?

Yunzhen Feng

Tim GJ Rudner

Nikolaos Tsilivis

Julia Kempe

2023/6

Kernels, Data & Physics

arXiv preprint arXiv:2307.02693

Francesco Cagnetta

Deborah Oliveira

Mahalakshmi Sabanayagam

Nikolaos Tsilivis

Julia Kempe

2023/7/5

Adversarial Noise Injection for Learned Turbulence Simulations

NeurIPS 2022 Workshop on Machine Learning and the Physical Sciences

Jingtong Su

Julia Kempe

Drummond Fielding

Nikolaos Tsilivis

Miles Cranmer

...

2022

What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness?

Advances in Neural Information Processing Systems (NeurIPS) 2022

Nikolaos Tsilivis

Julia Kempe

2022/10/11

ImpressLearn: Continual Learning via Combined Task Impressions

arXiv preprint arXiv:2210.01987

Dhrupad Bhardwaj

Julia Kempe

Artem M Vysogorets

Angela Teng

Evaristus Ezekwem

2022/10/5

Can we achieve robustness from data alone?

Nikolaos Tsilivis

Jingtong Su

Julia Kempe

2022/7/24

Wavelets Beat Monkeys at Adversarial Robustness

Jingtong Su

Julia Kempe

2022

See List of Professors in Julia Kempe University(New York University)

Co-Authors

H-index: 104
Seth Lloyd

Seth Lloyd

Massachusetts Institute of Technology

H-index: 87
Daniel Lidar

Daniel Lidar

University of Southern California

H-index: 74
K. Birgitta WHALEY

K. Birgitta WHALEY

University of California, Berkeley

H-index: 66
Christoph Simon

Christoph Simon

University of Calgary

H-index: 59
Guido Burkard

Guido Burkard

Universität Konstanz

H-index: 57
Ran Raz

Ran Raz

Princeton University

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