James J. DiCarlo

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 25

Top Topics

Unsupervised Learning

Biologically Motivated

Top Venues

Publications

Benjamin Peters, James J. DiCarlo, Todd M. Gureckis, Ralf Haefner, Leyla Isik, Joshua B. Tenenbaum, Talia Konkle, Thomas Naselaris, Kimberly Stachenfeld, Zenna Tavares, Doris Tsao, Ilker Yildirim, Nikolaus Kriegeskorte
How does the primate brain combine generative and discriminative computations in vision? CoRR (2024)
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 (2023)
Guy Gaziv, Michael J. Lee, James J. DiCarlo
Strong and Precise Modulation of Human Percepts via Robustified ANNs. NeurIPS (2023)
Guy Gaziv, Michael J. Lee, James J. DiCarlo
Robustified ANNs Reveal Wormholes Between Human Category Percepts. CoRR (2023)
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)
Chuang Gan, Siyuan Zhou, Jeremy Schwartz, Seth Alter, Abhishek Bhandwaldar, Dan Gutfreund, Daniel L. K. Yamins, James J. DiCarlo, Josh H. McDermott, Antonio Torralba, Joshua B. Tenenbaum
The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark Towards Physically Realistic Embodied AI. ICRA (2022)
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)
Chengxu Zhuang, Ziyu Xiang, Yoon Bai, Xiaoxuan Jia, Nicholas B. Turk-Browne, Kenneth A. Norman, James J. DiCarlo, Dan Yamins
How Well Do Unsupervised Learning Algorithms Model Human Real-time and Life-long Learning? NeurIPS (2022)
Aran Nayebi, Javier Sagastuy-Breña, Daniel M. Bear, Kohitij Kar, Jonas Kubilius, Surya Ganguli, David Sussillo, James J. DiCarlo, Daniel L. K. Yamins
Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off Between Task Performance and Network Size During Core Object Recognition. Neural Comput. 34 (8) (2022)
Franziska Geiger, Martin Schrimpf, Tiago Marques, James J. DiCarlo
Wiring Up Vision: Minimizing Supervised Synaptic Updates Needed to Produce a Primate Ventral Stream. ICLR (2022)
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 (2022)
Avinash Baidya, Joel Dapello, James J. DiCarlo, Tiago Marques
Combining Different V1 Brain Model Variants to Improve Robustness to Image Corruptions in CNNs. CoRR (2021)
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)
Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin T. Feigelis, Daniel Bear, Dan Gutfreund, David D. Cox, Antonio Torralba, James J. DiCarlo, Josh Tenenbaum, Josh H. McDermott, Dan Yamins
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. NeurIPS Datasets and Benchmarks (2021)
Chuang Gan, Siyuan Zhou, Jeremy Schwartz, Seth Alter, Abhishek Bhandwaldar, Dan Gutfreund, Daniel L. K. Yamins, James J. DiCarlo, Josh H. McDermott, Antonio Torralba, Joshua B. Tenenbaum
The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI. CoRR (2021)
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 (2021)
Chengxu Zhuang, Siming Yan, Aran Nayebi, Martin Schrimpf, Michael C. Frank, James J. DiCarlo, Daniel L. K. Yamins
Unsupervised neural network models of the ventral visual stream. Proc. Natl. Acad. Sci. USA 118 (3) (2021)
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)
Chuang Gan, Jeremy Schwartz, Seth Alter, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Damian Mrowca, Michael Lingelbach, Aidan Curtis, Kevin T. Feigelis, Daniel M. Bear, Dan Gutfreund, David D. Cox, James J. DiCarlo, Josh H. McDermott, Joshua B. Tenenbaum, Daniel L. K. Yamins
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. CoRR (2020)
Pouya Bashivan, Mark Tensen, James J. DiCarlo
Teacher Guided Architecture Search. ICCV (2019)
Jonas Kubilius, Martin Schrimpf, Ha Hong, Najib J. Majaj, Rishi Rajalingham, Elias B. Issa, Kohitij Kar, Pouya Bashivan, Jonathan Prescott-Roy, Kailyn Schmidt, Aran Nayebi, Daniel Bear, Daniel L. K. Yamins, James J. DiCarlo
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs. CoRR (2019)
Jonas Kubilius, Martin Schrimpf, Ha Hong, Najib J. Majaj, Rishi Rajalingham, Elias B. Issa, Kohitij Kar, Pouya Bashivan, Jonathan Prescott-Roy, Kailyn Schmidt, Aran Nayebi, Daniel Bear, Daniel L. Yamins, James J. DiCarlo
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs. NeurIPS (2019)
Pouya Bashivan, Mark Tensen, James J. DiCarlo
Teacher Guided Architecture Search. CoRR (2018)
Aran Nayebi, Daniel Bear, Jonas Kubilius, Kohitij Kar, Surya Ganguli, David Sussillo, James J. DiCarlo, Daniel L. K. Yamins
Task-Driven Convolutional Recurrent Models of the Visual System. CoRR (2018)
Aran Nayebi, Daniel Bear, Jonas Kubilius, Kohitij Kar, Surya Ganguli, David Sussillo, James J. DiCarlo, Daniel L. Yamins
Task-Driven Convolutional Recurrent Models of the Visual System. NeurIPS (2018)
Charles F. Cadieu, Ha Hong, Daniel Yamins, Nicolas Pinto, Diego Ardila, Ethan A. Solomon, Najib J. Majaj, James J. DiCarlo
Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition. CoRR (2014)
Judith E. Fan, Daniel Yamins, James J. DiCarlo, Nicholas B. Turk-Browne
Mapping core similarity among visual objects across image modalities. SIGGRAPH Posters (2014)
Charles F. Cadieu, Ha Hong, Daniel Yamins, Nicolas Pinto, Diego Ardila, Ethan A. Solomon, Najib J. Majaj, James J. DiCarlo
Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition. PLoS Comput. Biol. 10 (12) (2014)
Carlo Baldassi, Alireza Alemi-Neissi, Marino Pagan, James J. DiCarlo, Riccardo Zecchina, Davide Zoccolan
Shape Similarity, Better than Semantic Membership, Accounts for the Structure of Visual Object Representations in a Population of Monkey Inferotemporal Neurons. PLoS Comput. Biol. 9 (8) (2013)
Charles F. Cadieu, Ha Hong, Dan Yamins, Nicolas Pinto, Najib J. Majaj, James J. DiCarlo
The Neural Representation Benchmark and its Evaluation on Brain and Machine ICLR (2013)
Daniel Yamins, Ha Hong, Charles F. Cadieu, James J. DiCarlo
Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream. NIPS (2013)
Nicolas Pinto, Youssef Barhomi, David D. Cox, James J. DiCarlo
Comparing state-of-the-art visual features on invariant object recognition tasks. WACV (2011)
Nicolas Pinto, James J. DiCarlo, David D. Cox
How far can you get with a modern face recognition test set using only simple features?. CVPR (2009)
Nicolas Pinto, David Doukhan, James J. DiCarlo, David D. Cox
A High-Throughput Screening Approach to Discovering Good Forms of Biologically Inspired Visual Representation. PLoS Comput. Biol. 5 (11) (2009)
Nicolas Pinto, David D. Cox, James J. DiCarlo
Why is Real-World Visual Object Recognition Hard? PLoS Comput. Biol. 4 (1) (2008)