Dapello, Joel

8 publications

NeurIPS 2025 scGeneScope: A Treatment-Matched Single Cell Imaging and Transcriptomics Dataset and Benchmark for Treatment Response Modeling Joel Dapello, Marcel Nassar, Ridvan Eksi, Ban Wang, Jules Gagnon-Marchand, Kenneth T Gao, Akram Baharlouei, Kyra Thrush-Evensen, Nina Riehs, Amy F Peterson, Aniket Tolpadi, Abhejit Rajagopal, Henry E Miller, Ashley Mae Conard, David Alvarez-Melis, Rory Stark, Simone Bianco, Morgan Levine, Ava P Amini, Alex Xijie Lu, Nicolo Fusi, Ravi Pandya, Valentina Pedoia, Hana El-Samad

CPAL 2024 Probing Biological and Artificial Neural Networks with Task-Dependent Neural Manifolds Michael Kuoch, Chi-Ning Chou, Nikhil Parthasarathy, Joel Dapello, James J. DiCarlo, Haim Sompolinsky, SueYeon Chung

ICLR 2023 Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness Joel Dapello, Kohitij Kar, Martin Schrimpf, Robert Baldwin Geary, Michael Ferguson, David Daniel Cox, James J. DiCarlo

ICML 2022 Adversarially Trained Neural Representations May Already Be as Robust as Corresponding Biological Neural Representations Chong Guo, Michael Lee, Guillaume Leclerc, Joel Dapello, Yug Rao, Aleksander Madry, James Dicarlo

NeurIPSW 2021 Combining Different V1 Brain Model Variants to Improve Robustness to Image Corruptions in CNNs Avinash Baidya, Joel Dapello, James J. DiCarlo, Tiago Marques

NeurIPS 2021 Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception Joel Dapello, Jenelle Feather, Hang Le, Tiago Marques, David Cox, Josh McDermott, James J DiCarlo, Sueyeon Chung

NeurIPS 2020 Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations Joel Dapello, Tiago Marques, Martin Schrimpf, Franziska Geiger, David Cox, James J DiCarlo

ICLR 2018 On the Information Bottleneck Theory of Deep Learning Andrew Michael Saxe, Yamini Bansal, Joel Dapello, Madhu Advani, Artemy Kolchinsky, Brendan Daniel Tracey, David Daniel Cox