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Drew Linsley

According to our database¹, Drew Linsley authored at least 27 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

Tracking objects that change in appearance with phase synchrony.

[BibT_eX]

[DOI]

Sabine Muzellec

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,

Alekh Karkada Ashok

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Rufin VanRullen

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CoRR, 2024

The 3D-PC: a benchmark for visual perspective taking in humans and machines.

[BibT_eX]

[DOI]

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Alekh Karkada Ashok

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Francis E. Lewis

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CoRR, 2024

2023

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

[BibT_eX]

[DOI]

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CoRR, 2023

Neural scaling laws for phenotypic drug discovery.

[BibT_eX]

[DOI]

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Jason Parker Brown

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Michael J. Frank

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Steven Finkbeiner

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CoRR, 2023

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

[BibT_eX]

[DOI]

Lakshmi Narasimhan Govindarajan

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,

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Alekh Karkada Ashok

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,

Michael J. Frank

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CoRR, 2023

Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization.

[BibT_eX]

[DOI]

,

Thibaut Boissin

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Agustin Martin Picard

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CoRR, 2023

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

[BibT_eX]

[DOI]

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Ivan Felipe Rodríguez

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Margaret S. Livingstone

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CoRR, 2023

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

[BibT_eX]

[DOI]

,

,

Thibaut Boissin

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Alekh Karkada Ashok

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,

Stephanie Olaiya

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CoRR, 2023

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

[BibT_eX]

[DOI]

,

Ivan F. Rodriguez Rodriguez

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,

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Margaret S. Livingstone

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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization.

[BibT_eX]

[DOI]

,

Thibaut Boissin

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Lore Goetschalckx

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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Understanding the Computational Demands Underlying Visual Reasoning.

[BibT_eX]

[DOI]

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Rufin VanRullen

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Neural Comput., 2022

Harmonizing the object recognition strategies of deep neural networks with humans.

[BibT_eX]

[DOI]

,

Ivan Felipe Rodríguez

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,

CoRR, 2022

How and What to Learn: Taxonomizing Self-Supervised Learning for 3D Action Recognition.

[BibT_eX]

[DOI]

Amor Ben Tanfous

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,

,

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Harmonizing the object recognition strategies of deep neural networks with humans.

[BibT_eX]

[DOI]

,

Ivan F. Rodriguez Rodriguez

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,

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

The Challenge of Appearance-Free Object Tracking with Feedforward Neural Networks.

[BibT_eX]

[DOI]

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CoRR, 2021

Tracking Without Re-recognition in Humans and Machines.

[BibT_eX]

[DOI]

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,

,

Lakshmi Narasimhan Govindarajan

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,

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Stable and expressive recurrent vision models.

[BibT_eX]

[DOI]

,

Alekh Karkada Ashok

,

Lakshmi Narasimhan Govindarajan

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,

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Recurrent neural circuits for contour detection.

[BibT_eX]

[DOI]

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Proceedings of the 8th International Conference on Learning Representations, 2020

Disentangling neural mechanisms for perceptual grouping.

[BibT_eX]

[DOI]

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Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Learning what and where to attend.

[BibT_eX]

[DOI]

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Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Robust neural circuit reconstruction from serial electron microscopy with convolutional recurrent networks.

[BibT_eX]

[DOI]

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CoRR, 2018

Global-and-local attention networks for visual recognition.

[BibT_eX]

[DOI]

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CoRR, 2018

Learning long-range spatial dependencies with horizontal gated-recurrent units.

[BibT_eX]

[DOI]

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Vijay Veerabadran

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CoRR, 2018

Learning long-range spatial dependencies with horizontal gated recurrent units.

[BibT_eX]

[DOI]

,

,

Vijay Veerabadran

,

Charles Windolf

,

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning to predict action potentials end-to-end from calcium imaging data.

[BibT_eX]

[DOI]

,

Jeremy W. Linsley

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,

,

Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018

2017

Clicktionary: A Web-based Game for Exploring the Atoms of Object Recognition.

[BibT_eX]

[DOI]

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CoRR, 2017

What are the Visual Features Underlying Human Versus Machine Vision?

[BibT_eX]

[DOI]

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Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

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