| Year |
Citation |
Score |
| 2023 |
Jang H, Zaidi SSA, Boix X, Prasad N, Gilad-Gutnick S, Ben-Ami S, Sinha P. Robustness to Transformations Across Categories: Is Robustness Driven by Invariant Neural Representations? Neural Computation. 1-28. PMID 37844328 DOI: 10.1162/neco_a_01621 |
0.406 |
|
| 2022 |
Sundaram S, Sinha D, Groth M, Sasaki T, Boix X. Recurrent connections facilitate symmetry perception in deep networks. Scientific Reports. 12: 20931. PMID 36463378 DOI: 10.1038/s41598-022-25219-w |
0.437 |
|
| 2022 |
Sakai A, Sunagawa T, Madan S, Suzuki K, Katoh T, Kobashi H, Pfister H, Sinha P, Boix X, Sasaki T. Three approaches to facilitate invariant neurons and generalization to out-of-distribution orientations and illuminations. Neural Networks : the Official Journal of the International Neural Network Society. 155: 119-143. PMID 36054984 DOI: 10.1016/j.neunet.2022.07.026 |
0.371 |
|
| 2022 |
D'Amario V, Srivastava S, Sasaki T, Boix X. The Data Efficiency of Deep Learning Is Degraded by Unnecessary Input Dimensions. Frontiers in Computational Neuroscience. 16: 760085. PMID 35173595 DOI: 10.3389/fncom.2022.760085 |
0.361 |
|
| 2021 |
Villalobos K, Štih V, Ahmadinejad A, Sundaram S, Dozier J, Francl A, Azevedo F, Sasaki T, Boix X. Do Neural Networks for Segmentation Understand Insideness? Neural Computation. 33: 2511-2549. PMID 34412113 DOI: 10.1162/neco_a_01413 |
0.525 |
|
| 2020 |
Vinken K, Boix X, Kreiman G. Incorporating intrinsic suppression in deep neural networks captures dynamics of adaptation in neurophysiology and perception. Science Advances. 6. PMID 33055170 DOI: 10.1126/sciadv.abd4205 |
0.462 |
|
| 2017 |
Roig G, Chen F, Boix X, Poggio T. Eccentricity Dependent Deep Neural Networks for Modeling Human Vision Journal of Vision. 17: 808-808. DOI: 10.1167/17.10.808 |
0.576 |
|
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