Drew Linsley

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 31

Top Topics

Object Recognition

Computational Demands

Top Venues

Publications

Drew Linsley, Peisen Zhou, Alekh Karkada Ashok, Akash Nagaraj, Gaurav Gaonkar, Francis E. Lewis, Zygmunt Pizlo, Thomas Serre
The 3D-PC: a benchmark for visual perspective taking in humans and machines. CoRR (2024)
Drew Linsley, Thomas Serre
Fixing the problems of deep neural networks will require better training data and learning algorithms. CoRR (2023)
Drew Linsley, Ivan Felipe Rodríguez, Thomas Fel, Michael Arcaro, Saloni Sharma, Margaret S. Livingstone, Thomas Serre
Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex. CoRR (2023)
Drew Linsley, John Griffin, Jason Parker Brown, Adam N. Roose, Michael J. Frank, Peter Linsley, Steven Finkbeiner, Jeremy Linsley
Neural scaling laws for phenotypic drug discovery. CoRR (2023)
Drew Linsley, Ivan F. Rodriguez Rodriguez, Thomas Fel, Michael Arcaro, Saloni Sharma, Margaret S. Livingstone, Thomas Serre
Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex. NeurIPS (2023)
Lakshmi Narasimhan Govindarajan, Rex G. Liu, Drew Linsley, Alekh Karkada Ashok, Max Reuter, Michael J. Frank, Thomas Serre
Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning. CoRR (2023)
Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin Picard, Paul Novello, Julien Colin, Drew Linsley, Tom Rousseau, Rémi Cadène, Lore Goetschalckx, Laurent Gardes, Thomas Serre
Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization. NeurIPS (2023)
Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin Picard, Paul Novello, Julien Colin, Drew Linsley, Tom Rousseau, Rémi Cadène, Laurent Gardes, Thomas Serre
Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization. CoRR (2023)
Drew Linsley, Pinyuan Feng, Thibaut Boissin, Alekh Karkada Ashok, Thomas Fel, Stephanie Olaiya, Thomas Serre
Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception. CoRR (2023)
Thomas Fel, Ivan Felipe Rodríguez, Drew Linsley, Thomas Serre
Harmonizing the object recognition strategies of deep neural networks with humans. CoRR (2022)
Mohit Vaishnav, Rémi Cadène, Andrea Alamia, Drew Linsley, Rufin VanRullen, Thomas Serre
Understanding the Computational Demands Underlying Visual Reasoning. Neural Comput. 34 (5) (2022)
Amor Ben Tanfous, Aimen Zerroug, Drew Linsley, Thomas Serre
How and What to Learn: Taxonomizing Self-Supervised Learning for 3D Action Recognition. WACV (2022)
Thomas Fel, Ivan F. Rodriguez Rodriguez, Drew Linsley, Thomas Serre
Harmonizing the object recognition strategies of deep neural networks with humans. NeurIPS (2022)
Drew Linsley, Girik Malik, Junkyung Kim, Lakshmi Narasimhan Govindarajan, Ennio Mingolla, Thomas Serre
Tracking Without Re-recognition in Humans and Machines. NeurIPS (2021)
Drew Linsley, Girik Malik, Junkyung Kim, Lakshmi Narasimhan Govindarajan, Ennio Mingolla, Thomas Serre
Tracking Without Re-recognition in Humans and Machines. CoRR (2021)
Girik Malik, Drew Linsley, Thomas Serre, Ennio Mingolla
The Challenge of Appearance-Free Object Tracking with Feedforward Neural Networks. CoRR (2021)
Mohit Vaishnav, Rémi Cadène, Andrea Alamia, Drew Linsley, Rufin VanRullen, Thomas Serre
Understanding the computational demands underlying visual reasoning. CoRR (2021)
Junkyung Kim, Drew Linsley, Kalpit Thakkar, Thomas Serre
Disentangling neural mechanisms for perceptual grouping. ICLR (2020)
Drew Linsley, Alekh Karkada Ashok, Lakshmi Narasimhan Govindarajan, Rex Liu, Thomas Serre
Stable and expressive recurrent vision models. CoRR (2020)
Drew Linsley, Junkyung Kim, Alekh Ashok, Thomas Serre
Recurrent neural circuits for contour detection. ICLR (2020)
Drew Linsley, Alekh Karkada Ashok, Lakshmi Narasimhan Govindarajan, Rex Liu, Thomas Serre
Stable and expressive recurrent vision models. NeurIPS (2020)
Drew Linsley, Junkyung Kim, Alekh Ashok, Thomas Serre
Recurrent neural circuits for contour detection. CoRR (2020)
Junkyung Kim, Drew Linsley, Kalpit Thakkar, Thomas Serre
Disentangling neural mechanisms for perceptual grouping. CoRR (2019)
Drew Linsley, Dan Shiebler, Sven Eberhardt, Thomas Serre
Learning what and where to attend. ICLR (Poster) (2019)
Drew Linsley, Junkyung Kim, David Berson, Thomas Serre
Robust neural circuit reconstruction from serial electron microscopy with convolutional recurrent networks. CoRR (2018)
Drew Linsley, Junkyung Kim, Vijay Veerabadran, Thomas Serre
Learning long-range spatial dependencies with horizontal gated-recurrent units. CoRR (2018)
Drew Linsley, Jeremy W. Linsley, Tarun Sharma, Nathan Meyers, Thomas Serre
Learning to predict action potentials end-to-end from calcium imaging data. CISS (2018)
Drew Linsley, Junkyung Kim, Vijay Veerabadran, Charles Windolf, Thomas Serre
Learning long-range spatial dependencies with horizontal gated recurrent units. NeurIPS (2018)
Drew Linsley, Dan Scheibler, Sven Eberhardt, Thomas Serre
Global-and-local attention networks for visual recognition. CoRR (2018)
Drew Linsley, Sven Eberhardt, Tarun Sharma, Pankaj Gupta, Thomas Serre
Clicktionary: A Web-based Game for Exploring the Atoms of Object Recognition. CoRR (2017)
Drew Linsley, Sven Eberhardt, T. Sharma, P. Gupta, Thomas Serre
What are the Visual Features Underlying Human Versus Machine Vision? ICCV Workshops (2017)