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ORCIDJames J. DiCarlo
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2020 – today
- 2024
[i12]Benjamin Peters, James J. DiCarlo, Todd M. Gureckis, Ralf Haefner, Leyla Isik, Joshua B. Tenenbaum, Talia Konkle, Thomas Naselaris, Kimberly L. Stachenfeld, Zenna Tavares, Doris Tsao, Ilker Yildirim, Nikolaus Kriegeskorte:
How does the primate brain combine generative and discriminative computations in vision? CoRR abs/2401.06005 (2024)- 2023
- [j7]Michael J. Lee
, James J. DiCarlo:
How well do rudimentary plasticity rules predict adult visual object learning? PLoS Comput. Biol. 19(12) (2023) - [c17]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 - [c16]Guy Gaziv, Michael J. Lee, James J. DiCarlo:
Strong and Precise Modulation of Human Percepts via Robustified ANNs. NeurIPS 2023 - [i11]Guy Gaziv, Michael J. Lee, James J. DiCarlo:
Robustified ANNs Reveal Wormholes Between Human Category Percepts. CoRR abs/2308.06887 (2023) - [i10]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
- [j6]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): 1652-1675 (2022) - [c15]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 - [c14]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 - [c13]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: 8847-8854 - [c12]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 - [i9]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
- [j5]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): e2014196118 (2021) - [c11]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 - [c10]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 - [i8]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 abs/2103.14025 (2021) - [i7]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) - [i6]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
- [c9]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 - [i5]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 abs/2007.04954 (2020)
2010 – 2019
- 2019
- [c8]Pouya Bashivan, Mark Tensen, James J. DiCarlo:
Teacher Guided Architecture Search. ICCV 2019: 5319-5328 - [c7]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. NeurIPS 2019: 12785-12796 - [i4]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 abs/1909.06161 (2019) - 2018
- [c6]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. NeurIPS 2018: 5295-5306 - [i3]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 abs/1807.00053 (2018) - [i2]Pouya Bashivan, Mark Tensen, James J. DiCarlo:
Teacher Guided Architecture Search. CoRR abs/1808.01405 (2018) - 2014
- [j4]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) - [c5]Judith E. Fan, Daniel Yamins, James J. DiCarlo, Nicholas B. Turk-Browne:
Mapping core similarity among visual objects across image modalities. SIGGRAPH Posters 2014: 67:1 - [i1]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 abs/1406.3284 (2014) - 2013
- [j3]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) - [c4]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: 3093-3101 - [c3]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 - 2011
- [c2]Nicolas Pinto, Youssef Barhomi, David D. Cox, James J. DiCarlo:
Comparing state-of-the-art visual features on invariant object recognition tasks. WACV 2011: 463-470
2000 – 2009
- 2009
- [j2]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) - [c1]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: 2591-2598 - 2008
- [j1]Nicolas Pinto, David D. Cox, James J. DiCarlo:
Why is Real-World Visual Object Recognition Hard? PLoS Comput. Biol. 4(1) (2008)
Coauthor Index
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