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{
    "pk": 28135,
    "title": "Example Generation Under Constraints Using Cascade Correlation Neural Nets",
    "subtitle": null,
    "abstract": "Humans not only can effortlessly imagine a wide range ofnovel instances and scenarios when prompted (e.g., a newshirt), but more remarkably, they can adequately generate ex-amples which satisfy a given set of constraints (e.g., a new,dotted, pink shirt). Recently, Nobandegani and Shultz (2017)proposed a framework which permits converting deterministic,discriminative neural nets into probabilistic generative models.In this work, we formally show that an extension of this frame-work allows for generating examples under a wide range ofconstraints. Furthermore, we show that this framework is con-sistent with developmental findings on children’s generativeabilities, and can account for a developmental shift in infants’probabilistic learning and reasoning. We discuss the impor-tance of integrating Bayesian and connectionist approaches tocomputational developmental psychology, and how our workcontributes to that research.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Cascade correlation neural networks; Determin-istic discriminative models; Probabilistic generative models;Bayesian vs. connectionist modeling of development"
        }
    ],
    "section": "Publication-based-Talks",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/9f71755r",
    "frozenauthors": [
        {
            "first_name": "Ardavan",
            "middle_name": "S",
            "last_name": "Nobandegani",
            "name_suffix": "",
            "institution": "McGill",
            "department": ""
        },
        {
            "first_name": "Thomas",
            "middle_name": "R",
            "last_name": "Schultz",
            "name_suffix": "",
            "institution": "McGill",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2018-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/28135/galley/17794/download/"
        }
    ]
}