{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/dissecting-neural-odes","title":"Dissecting Neural ODEs","arxiv_id":"2002.08071","date":"2020-02-19","proceeding":"NeurIPS 2020 12","authors":["Stefano Massaroli","Michael Poli","Jinkyoo Park","Atsushi Yamashita","Hajime Asama"],"abstract":"Continuous deep learning architectures have recently re-emerged as Neural Ordinary Differential Equations (Neural ODEs). This infinite-depth approach theoretically bridges the gap between deep learning and dynamical systems, offering a novel perspective. However, deciphering the inner working of these models is still an open challenge, as most applications apply them as generic black-box modules. In this work we \"open the box\", further developing the continuous-depth formulation with the aim of clarifying the influence of several design choices on the underlying dynamics.","url_abs":"https://arxiv.org/abs/2002.08071v4","url_pdf":"https://arxiv.org/pdf/2002.08071v4.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"dissecting-neural-odes","repo_url":"https://github.com/DiffEqML/diffeqml-research/tree/master/dissecting-neural-odes","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}}],"tasks":[{"task_slug":"deep-learning","task_name":"Deep Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/2002.08071","atlas_url":"https://app.syntology.ai/?focus=2002.08071","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}