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2020 – today
- 2023
[c6]Joel Dapello, Kohitij Kar, Martin Schrimpf, Robert Baldwin Geary, Michael Ferguson, David Daniel Cox, James J. DiCarlo:
Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness. ICLR 2023- [c5]Malchiel Rodrigues, Joel Dapello, Priyan Vaithilingam, Carolina Nobre, Johanna Beyer:
ProtoGraph: A Non-Expert Toolkit for Creating Animated Graphs. IEEE VIS (Short Papers) 2023: 176-180 - [i4]Michael Kuoch, Chi-Ning Chou, Nikhil Parthasarathy, Joel Dapello, James J. DiCarlo, Haim Sompolinsky, SueYeon Chung:
Probing Biological and Artificial Neural Networks with Task-dependent Neural Manifolds. CoRR abs/2312.14285 (2023) - 2022
- [c4]Chong Guo, Michael J. Lee, Guillaume Leclerc, Joel Dapello, Yug Rao, Aleksander Madry, James J. DiCarlo:
Adversarially trained neural representations are already as robust as biological neural representations. ICML 2022: 8072-8081 - [i3]Chong Guo, Michael J. Lee, Guillaume Leclerc, Joel Dapello, Yug Rao, Aleksander Madry, James J. DiCarlo:
Adversarially trained neural representations may already be as robust as corresponding biological neural representations. CoRR abs/2206.11228 (2022) - 2021
- [c3]Joel Dapello, Jenelle Feather, Hang Le, Tiago Marques, David D. Cox, Josh H. McDermott, James J. DiCarlo, SueYeon Chung:
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception. NeurIPS 2021: 15595-15607 - [i2]Avinash Baidya, Joel Dapello, James J. DiCarlo, Tiago Marques:
Combining Different V1 Brain Model Variants to Improve Robustness to Image Corruptions in CNNs. CoRR abs/2110.10645 (2021) - [i1]Joel Dapello, Jenelle Feather, Hang Le, Tiago Marques, David D. Cox, Josh H. McDermott, James J. DiCarlo, SueYeon Chung:
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception. CoRR abs/2111.06979 (2021) - 2020
- [c2]Joel Dapello, Tiago Marques, Martin Schrimpf, Franziska Geiger, David D. Cox, James J. DiCarlo:
Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations. NeurIPS 2020
2010 – 2019
- 2018
- [c1]Andrew M. Saxe, Yamini Bansal, Joel Dapello, Madhu Advani, Artemy Kolchinsky, Brendan D. Tracey, David D. Cox:
On the Information Bottleneck Theory of Deep Learning. ICLR (Poster) 2018
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