Drew Linsley

Drew Linsley

Brown University

H-index: 16

North America-United States

About Drew Linsley

Drew Linsley, With an exceptional h-index of 16 and a recent h-index of 15 (since 2020), a distinguished researcher at Brown University, specializes in the field of Computational neuroscience, computer vision, biological vision.

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

Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex

Unlocking feature visualization for deep network with MAgnitude constrained optimization

Recurrent neural circuits

Fixing the problems of deep neural networks will require better training data and learning algorithms

Harmonizing the visual strategies of image-computable models with humans yields more performant and interpretable models of primate visual system function.

Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning

Ecological data and objectives align deep neural network representations with humans

Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception

Drew Linsley Information

University

Position

___

Citations(all)

1064

Citations(since 2020)

933

Cited By

366

hIndex(all)

16

hIndex(since 2020)

15

i10Index(all)

20

i10Index(since 2020)

18

Email

University Profile Page

Brown University

Google Scholar

View Google Scholar Profile

Drew Linsley Skills & Research Interests

Computational neuroscience

computer vision

biological vision

Top articles of Drew Linsley

Title

Journal

Author(s)

Publication Date

Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex

Advances in Neural Information Processing Systems

Drew Linsley

Ivan F Rodriguez Rodriguez

Thomas Fel

Michael Arcaro

Saloni Sharma

...

2024/2/13

Unlocking feature visualization for deep network with MAgnitude constrained optimization

Advances in Neural Information Processing Systems

Thomas Fel

Thibaut Boissin

Victor Boutin

Agustin Picard

Paul Novello

...

2024/2/13

Recurrent neural circuits

2023/4/25

Fixing the problems of deep neural networks will require better training data and learning algorithms

arXiv preprint arXiv:2311.12819

Drew Linsley

Thomas Serre

2023/9/26

Harmonizing the visual strategies of image-computable models with humans yields more performant and interpretable models of primate visual system function.

Journal of Vision

Ivan Felipe Rodriguez

Drew Linsley

Jay Gopal

Thomas Fel

Michael J Acaro

...

2023/8/1

Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning

arXiv preprint arXiv:2309.13181

Lakshmi Narasimhan Govindarajan

Rex G Liu

Drew Linsley

Alekh Karkada Ashok

Max Reuter

...

2023/9/22

Ecological data and objectives align deep neural network representations with humans

Akash Nagaraj

Alekh Karkada Ashok

Drew Linsley

Francis E Lewis

Peisen Zhou

...

2023/12/18

Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception

arXiv preprint arXiv:2306.03229

Drew Linsley

Pinyuan Feng

Thibaut Boissin

Alekh Karkada Ashok

Thomas Fel

...

2023/6/5

Neural scaling laws for phenotypic drug discovery

arXiv preprint arXiv:2309.16773

Drew Linsley

John Griffin

Jason Parker Brown

Adam N Roose

Michael Frank

...

2023/9/28

Deceptive learning in histopathology

bioRxiv

Sahar Shahamatdar

Daryoush Saeed-Vafa

Drew Linsley

Farah Khalil

Katherine Lovinger

...

2022/4/22

The emergence of visual simulation in task-optimized recurrent neural networks

Alekh Karkada Ashok

Lakshmi Narasimhan Govindarajan

Drew Linsley

David Sheinberg

Thomas Serre

2022/10/18

Understanding the computational demands underlying visual reasoning

Neural Computation

Mohit Vaishnav

Remi Cadene

Andrea Alamia

Drew Linsley

Rufin VanRullen

...

2022/4/15

Harmonizing the object recognition strategies of deep neural networks with humans

Advances in neural information processing systems

Thomas Fel

Ivan F Rodriguez Rodriguez

Drew Linsley

Thomas Serre

2022/12/6

Fluorescently labeled nuclear morphology is highly informative of neurotoxicity

Frontiers in Toxicology

Shijie Wang

Jeremy W Linsley

Drew A Linsley

Josh Lamstein

Steven Finkbeiner

2022/8/24

Toward modeling visual routines of object segmentation with biologically inspired recurrent vision models

Journal of Vision

Lore Goetschalckx

Maryam Zolfaghar

Alekh K Ashok

Lakshmi N Govindarajan

Drew Linsley

...

2022/12/5

How and what to learn: Taxonomizing self-supervised learning for 3d action recognition

Amor Ben Tanfous

Aimen Zerroug

Drew Linsley

Thomas Serre

2022

Tracking without re-recognition in humans and machines

Advances in Neural Information Processing Systems

Drew Linsley

Girik Malik

Junkyung Kim

Lakshmi Narasimhan Govindarajan

Ennio Mingolla

...

2021/12/6

Development of a deep learning algorithm for the histopathologic diagnosis and Gleason grading of prostate cancer biopsies: a pilot study

European urology focus

Ohad Kott

Drew Linsley

Ali Amin

Andreas Karagounis

Carleen Jeffers

...

2021/3/1

The challenge of appearance-free object tracking with feedforward neural networks

arXiv preprint arXiv:2110.02772

Girik Malik

Drew Linsley

Thomas Serre

Ennio Mingolla

2021/9/30

Superhuman cell death detection with biomarker-optimized neural networks

Science advances

Jeremy W Linsley

Drew A Linsley

Josh Lamstein

Gennadi Ryan

Kevan Shah

...

2021/12/8

See List of Professors in Drew Linsley University(Brown University)