Andrew Gordon Wilson

Andrew Gordon Wilson

New York University

H-index: 51

North America-United States

About Andrew Gordon Wilson

Andrew Gordon Wilson, With an exceptional h-index of 51 and a recent h-index of 50 (since 2020), a distinguished researcher at New York University, specializes in the field of Machine Learning, Computer Science, Artificial Intelligence, Gaussian Processes, Deep Learning.

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

Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI

Simplifying Neural Network Training Under Class Imbalance

CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra

Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion

Should We Learn Most Likely Functions or Parameters?

Understanding the detrimental class-level effects of data augmentation

Chronos: Learning the language of time series

A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning

Andrew Gordon Wilson Information

University

Position

___

Citations(all)

14873

Citations(since 2020)

13404

Cited By

4846

hIndex(all)

51

hIndex(since 2020)

50

i10Index(all)

91

i10Index(since 2020)

89

Email

University Profile Page

New York University

Google Scholar

View Google Scholar Profile

Andrew Gordon Wilson Skills & Research Interests

Machine Learning

Computer Science

Artificial Intelligence

Gaussian Processes

Deep Learning

Top articles of Andrew Gordon Wilson

Title

Journal

Author(s)

Publication Date

Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI

Theodore Papamarkou

Maria Skoularidou

Konstantina Palla

Laurence Aitchison

Julyan Arbel

...

2024/2

Simplifying Neural Network Training Under Class Imbalance

Advances in Neural Information Processing Systems

Ravid Shwartz-Ziv

Micah Goldblum

Yucen Li

C Bayan Bruss

Andrew G Wilson

2024/2/13

CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra

Advances in Neural Information Processing Systems

Andres Potapczynski

Marc Finzi

Geoff Pleiss

Andrew G Wilson

2024/2/13

Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion

arXiv preprint arXiv:2403.16365

Hossein Souri

Arpit Bansal

Hamid Kazemi

Liam Fowl

Aniruddha Saha

...

2024/3/25

Should We Learn Most Likely Functions or Parameters?

Shikai Qiu*

Tim GJ Rudner*

Sanyam Kapoor*

Andrew Gordon Wilson

2023/12

Understanding the detrimental class-level effects of data augmentation

Advances in Neural Information Processing Systems (NeurIPS)

Polina Kirichenko

Mark Ibrahim

Randall Balestriero

Diane Bouchacourt

Ramakrishna Vedantam

...

2023/12/7

Chronos: Learning the language of time series

arXiv preprint arXiv:2403.07815

Abdul Fatir Ansari

Lorenzo Stella

Caner Turkmen

Xiyuan Zhang

Pedro Mercado

...

2024/3/12

A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning

Advances in Neural Information Processing Systems

Valeriia Cherepanova

Roman Levin

Gowthami Somepalli

Jonas Geiping

C Bayan Bruss

...

2024/2/13

Visual Explanations of Image-Text Representations via Multi-Modal Information Bottleneck Attribution

Ying Wang*

Tim GJ Rudner*

Andrew Gordon Wilson

2023/12

Machine Learning Discovery of a New Descriptor for Topological Semimetal

Bulletin of the American Physical Society

YANJUN LIU

Krishnanand Mallayya

Milena Jovanovic

Wesley Maddox

Andrew Wilson

...

2024/3/7

Protein design with guided discrete diffusion

Nate Gruver

Samuel Stanton

Nathan C Frey

Tim GJ Rudner

Isidro Hotzel

...

2023/12

Battle of the backbones: A large-scale comparison of pretrained models across computer vision tasks

Advances in Neural Information Processing Systems

Micah Goldblum

Hossein Souri

Renkun Ni

Manli Shu

Viraj Prabhu

...

2024/2/13

Controllable Prompt Tuning For Balancing Group Distributional Robustness

arXiv preprint arXiv:2403.02695

Hoang Phan

Andrew Gordon Wilson

Qi Lei

2024/3/5

Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

arXiv preprint arXiv:2402.04379

Nate Gruver

Anuroop Sriram

Andrea Madotto

Andrew Gordon Wilson

C Lawrence Zitnick

...

2024/2/6

Calibration-Tuning: Teaching Large Language Models to Know What They Don’t Know

Sanyam Kapoor

Nate Gruver

Manley Roberts

Arka Pal

Samuel Dooley

...

2024/3

Large language models are zero-shot time series forecasters

Advances in Neural Information Processing Systems

Nate Gruver

Marc Finzi

Shikai Qiu

Andrew G Wilson

2024/2/13

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

The no free lunch theorem, kolmogorov complexity, and the role of inductive biases in machine learning

arXiv preprint arXiv:2304.05366

Micah Goldblum

Marc Finzi

Keefer Rowan

Andrew Gordon Wilson

2023/4/11

Automated few-shot classification with instruction-finetuned language models

arXiv preprint arXiv:2305.12576

Rami Aly

Xingjian Shi

Kaixiang Lin

Aston Zhang

Andrew Gordon Wilson

2023/5/21

A non‐parametric Bayesian approach for adjusting partial compliance in sequential decision making

Statistics in Medicine

Indrabati Bhattacharya

Brent A Johnson

William J Artman

Andrew Wilson

Kevin G Lynch

...

2023/7/10

See List of Professors in Andrew Gordon Wilson University(New York University)