Tomaso Poggio

Poggio in 2015 Tomaso Armando Poggio (born 11 September 1947 in Genoa, Italy), is the Eugene McDermott professor in the Department of Brain and Cognitive Sciences, an investigator at the McGovern Institute for Brain Research, a member of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and director of both the Center for Biological and Computational Learning at MIT and the [http://cbmm.mit.edu/ Center for Brains, Minds, and Machines], a multi-institutional collaboration headquartered at the McGovern Institute since 2013. Provided by Wikipedia
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  1. 1
    Representation Learning in Sensory Cortex: A Theory

    Representation Learning in Sensory Cortex: A Theory by Fabio Anselmi, Tomaso Poggio

    Published 2022-01-01
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    Article
  2. 2
    Ill-Posed Problems and Regularization Analysis in Early Vision

    Ill-Posed Problems and Regularization Analysis in Early Vision by Tomaso, Poggio, Torre, Vincent

    Published 2004
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  3. 3
    Invariant recognition drives neural representations of action sequences.

    Invariant recognition drives neural representations of action sequences. by Andrea Tacchetti, Leyla Isik, Tomaso Poggio

    Published 2017-12-01
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    Article
  4. 4
    Complexity control by gradient descent in deep networks

    Complexity control by gradient descent in deep networks by Tomaso Poggio, Qianli Liao, Andrzej Banburski

    Published 2020-02-01
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    Article
  5. 5
    The Invariance Hypothesis Implies Domain-Specific Regions in Visual Cortex.

    The Invariance Hypothesis Implies Domain-Specific Regions in Visual Cortex. by Joel Z Leibo, Qianli Liao, Fabio Anselmi, Tomaso Poggio

    Published 2015-10-01
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    Article
  6. 6
    Dynamics in Deep Classifiers Trained with the Square Loss: Normalization, Low Rank, Neural Collapse, and Generalization Bounds

    Dynamics in Deep Classifiers Trained with the Square Loss: Normalization, Low Rank, Neural Collapse, and Generalization Bounds by Mengjia Xu, Akshay Rangamani, Qianli Liao, Tomer Galanti, Tomaso Poggio

    Published 2023-01-01
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    Article
  7. 7
    On the representation of novel objects : human psychophysics, monkey physiology and computational models

    On the representation of novel objects : human psychophysics, monkey physiology and computational models by Bricolo, Emanuela

    Published 2005
    Other Authors: “…Tomaso Poggio.…”
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    Thesis
  8. 8
    The photo-realistic synthesis of novel views from example images

    The photo-realistic synthesis of novel views from example images by Lines, Stephen

    Published 2005
    Other Authors: “…Tomaso Poggio.…”
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    Thesis
  9. 9
    Perceiving and recognizing three-dimensional forms

    Perceiving and recognizing three-dimensional forms by Sinha, Pawan

    Published 2005
    Other Authors: “…Tomaso Poggio.…”
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    Thesis
  10. 10
    Effects of neuronal correlations on population decoding and encoding models

    Effects of neuronal correlations on population decoding and encoding models by Patel, Ami (Ami M.)

    Published 2017
    Other Authors: “…Tomaso Poggio.…”
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    Thesis
  11. 11
    Modeling human vision using feedforward neural networks

    Modeling human vision using feedforward neural networks by Chen, Francis Xinghang

    Published 2017
    Other Authors: “…Tomaso Poggio.…”
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    Thesis
  12. 12
    Developing a generalized intelligent agent by processing information on webpages

    Developing a generalized intelligent agent by processing information on webpages by Hege, Phillip Gabriel

    Published 2018
    Other Authors: “…Tomaso Poggio.…”
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    Thesis
  13. 13
    Training hierarchical networks for function approximation

    Training hierarchical networks for function approximation by Miranda, Brando, M. Eng. Massachusetts Institute of Technology

    Published 2018
    Other Authors: “…Tomaso Poggio.…”
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    Thesis
  14. 14
    The complexity and a priori knowledge of learning from examples

    The complexity and a priori knowledge of learning from examples by Chan, Tung, 1972-

    Published 2005
    Other Authors: “…Tomaso Poggio.…”
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    Thesis
  15. 15
    Deep learning and structured data

    Deep learning and structured data by Zhang, Chiyuan, Ph. D. Massachusetts Institute of Technology

    Published 2018
    Other Authors: “…Tomaso Poggio.…”
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    Thesis
  16. 16
    Visual datasets for artificial intelligence agents

    Visual datasets for artificial intelligence agents by Hilton, Erwin

    Published 2018
    Other Authors: “…Tomaso Poggio.…”
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    Thesis
  17. 17
    Invariance properties of the human visual system in one-shot learning

    Invariance properties of the human visual system in one-shot learning by Han, Yena

    Published 2018
    Other Authors: “…Tomaso Poggio.…”
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    Thesis
  18. 18
    Machine learning for detection of fake news

    Machine learning for detection of fake news by O'Brien, Nicole (Nicole J.)

    Published 2018
    Other Authors: “…Tomaso Poggio.…”
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    Thesis
  19. 19
    Learning and inference with Wasserstein metrics

    Learning and inference with Wasserstein metrics by Frogner, Charles (Charles Albert)

    Published 2019
    Other Authors: “…Tomaso Poggio.…”
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    Thesis
  20. 20
    Detecting basal cell carcinoma in skin histopathological images using deep learning

    Detecting basal cell carcinoma in skin histopathological images using deep learning by Calderón Gómez, Tomás Alberto.

    Published 2019
    Other Authors: “…Tomaso Poggio.…”
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    Thesis

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