Publications by authors named "Xavier Boix"

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Rethinking VLMs and LLMs for image classification.
Avi Cooper, Keizo Kato, Chia-Hsien Shih, Hiroaki Yamane, Kasper Vinken, Xavier Boix

Sci Rep· June 2025

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Configural processing as an optimized strategy for robust object recognition in neural networks.
Hojin Jang, Pawan Sinha, Xavier Boix

Commun Biol· March 2025

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Transformer Module Networks for Systematic Generalization in Visual Question Answering.
Moyuru Yamada, Vanessa D'Amario, Kentaro Takemoto, Xavier Boix, Tomotake Sasaki

IEEE Trans Pattern Anal Mach Intell· December 2024

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Multi-domain improves classification in out-of-distribution and data-limited scenarios for medical image analysis.
Ece Ozkan, Xavier Boix

Sci Rep· October 2024

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Robustness to Transformations Across Categories: Is Robustness Driven by Invariant Neural Representations?
Hojin Jang, Syed Suleman Abbas Zaidi, Xavier Boix, Neeraj Prasad, Sharon Gilad-Gutnick

Neural Comput· November 2023

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Recurrent connections facilitate symmetry perception in deep networks.
Shobhita Sundaram, Darius Sinha, Matthew Groth, Tomotake Sasaki, Xavier Boix

Sci Rep· December 2022

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Three approaches to facilitate invariant neurons and generalization to out-of-distribution orientations and illuminations.
Akira Sakai, Taro Sunagawa, Spandan Madan, Kanata Suzuki, Takashi Katoh, Xavier Boix

Neural Netw· November 2022

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The Data Efficiency of Deep Learning Is Degraded by Unnecessary Input Dimensions.
Vanessa D'Amario, Sanjana Srivastava, Tomotake Sasaki, Xavier Boix

Front Comput Neurosci· January 2022

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Do Neural Networks for Segmentation Understand Insideness?
Kimberly Villalobos, Vilim Štih, Amineh Ahmadinejad, Shobhita Sundaram, Jamell Dozier, Xavier Boix

Neural Comput· August 2021

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Learning to Predict Sequences of Human Visual Fixations.
Ming Jiang, Xavier Boix, Gemma Roig, Juan Xu, Luc Van Gool

IEEE Trans Neural Netw Learn Syst· June 2016

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