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{
    "pk": 26972,
    "title": "Converting Cascade-Correlation Neural Nets into Probabilistic Generative Models",
    "subtitle": null,
    "abstract": "Humans are not only adept in recognizing what class an in-put instance belongs to (i.e., classification task), but perhapsmore remarkably, they can imagine (i.e., generate) plausibleinstances of a desired class with ease, when prompted. Inspiredby this, we propose a framework which allows transformingCascade-Correlation Neural Networks (CCNNs) into proba-bilistic generative models, thereby enabling CCNNs to gen-erate samples from a category of interest. CCNNs are a well-known class of deterministic, discriminative NNs, which au-tonomously construct their topology, and have been successfulin accounting for a variety of psychological phenomena. Ourproposed framework is based on a Markov Chain Monte Carlo(MCMC) method, called the Metropolis-adjusted Langevin al-gorithm, which capitalizes on the gradient information of thetarget distribution to direct its explorations towards regionsof high probability, thereby achieving good mixing proper-ties. Through extensive simulations, we demonstrate the effi-cacy of our proposed framework. Importantly, our frameworkbridges computational, algorithmic, and implementational lev-els of analysis.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Deterministic Discriminative Neural Networks;Probabilistic Generative Models; Markov Chain Monte Carlo"
        }
    ],
    "section": "Talks: Papers",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/04h8p11w",
    "frozenauthors": [
        {
            "first_name": "Ardavan",
            "middle_name": "S.",
            "last_name": "Nobandegani",
            "name_suffix": "",
            "institution": "McGill University",
            "department": ""
        },
        {
            "first_name": "Thomas",
            "middle_name": "R.",
            "last_name": "Shultz",
            "name_suffix": "",
            "institution": "McGill University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2017-01-01T10:00:00-08:00",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/26972/galley/16608/download/"
        }
    ]
}