Search

Julian Lemmel

DC RES / Achievements / Julian Lemmel
Portrait photo PhD Julian Lemmel
© Julian Lemmel

Julian Lemmel

TU Wien

 

Supervisor:

Prof. Radu Grosu

 

Project:

“Biologically Plausible Training Algorithms for Recurrent Neural Networks”

 

Team

Achievements

Papers:

– Prediction of Tourism Flow with Sparse Geolocation Data, IDSC 2023 Krems, “On the Benefits of Biophysical Synapses”, Arxiv, not peer-reviewed

 

Workshop Contribution:

– Deep-Learning vs Regression: Prediction of Tourism Flow with Limited Data, AI4TS@IJCAI, IJCAI 2022 Vienna

Julian Lemmel On the Benefits of Biophysical Synapses PDF703.41 KB

Julian Lemmel Deep-Learning vs Regression Prediction of Tourism Flow with Limited Data PDF257.33 KB

About Cookies

Our website uses cookies to ensure you get the best experience on our website, for analytical purposes, to provide social media features, and for targeted advertising. This it is necessary in order to pass information on to respective service providers. If you would like additional information about cookies on this website, please see our Data Protection Declaration.

  • These cookies are required to help our website run smoothly.

    Name Purpose Lifetime Type Provider
    wordpress_test_cookie Testing-Cookie to check whether cookies are allowed. 1 Year HTTP Homepage TUW
    PHPSESSID Used by WordPress to retain the state of your current user session for all page requests. Session HTTP Homepage TUW
    wordpress_logged_in_{hash} Used by Wordpress to keep users logged in. {hash} represents an unique user token. 1 Year HTTP Homepage TUW
    wp-settings-time-{id} Used to customize your view of admin interface, and possibly also the main site interface. 1 Year HTTP Homepage TUW
    wordpress_sec_{hash} This cookie is used to store your authentication details. Its use is limited to the admin console area. {hash} represents an unique user token. 1 Year HTTP Homepage TUW
    wp-settings-{id} Used to customize your view of admin interface, and possibly also the main site interface. 1 Year HTTP Homepage TUW
    wp-wpml_current_language Stores the current language. This cookie is enabled by default on sites that use the Language filtering for AJAX operations feature. 1 Day HTTP Homepage TUW
    wp-wpml_current_admin_language_{hash} Stores the current WordPress administration area language. {hash} represents an unique user token. 1 Day HTTP Homepage TUW
    CookieConsent_d608fe Saves your settings for the use of cookies on this website. 1 Year HTML Homepage TUW

  • These cookies help us to continuously improve our services and adapt our website to your needs. We statistically evaluate the pseudonymized data collected from our website.

    Name Purpose Lifetime Type Provider
    _pk_id.136.56ce Used to store a few details about the user such as the unique visitor ID. 13 months HTML Matomo TUW
    _pk_ref Is used to store the information of the users home website. 6 months HTML Matomo TUW
    _pk_ses.136.56ce Is needed to store temporary data of the visit. 30 minutes HTML Matomo TUW