Joel Dapello

On the information bottleneck theory of deep learning*

Andrew Saxe, Yamini Bansal, Joel Dapello et al. · Journal of Statistical Mechanics Theory and Experiment · 2019 · 142 citations

Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations

Joel Dapello, Tiago Marques, Martin Schrimpf et al. · 2020 · 124 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +24

Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness

Joel Dapello, Kohitij Kar, Martin Schrimpf et al. · 2022 · 24 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +23

Adversarially trained neural representations may already be as robust as corresponding biological neural representations

Chong Guo, Michael J. Lee, Guillaume Leclerc et al. · arXiv (Cornell University) · 2022 · 19 citations · Full text

Artificial Intelligence, Biological Neural Representations, Trained Neural Representations +19

Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations

Joel Dapello, Tiago Marques, Martin Schrimpf et al. · Neural Information Processing Systems · 2020 · 10 citations

Convolutional Neural Network, Engineering, Machine Learning +24