
Irene Ballester
@irballester
PhD Student @TU_Wien - Marie Curie ITN fellow @visuAAL_ITN
ID: 1313052648510234625
05-10-2020 09:45:40
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Exciting News! Join us at the Women in Machine Learning Symposium (#WiML) at Les McIsaac in beautiful Vienna on July 24th, 2024. Whether you attend sessions, showcase your work with a poster, or volunteer, we welcome your participation! Register now: buff.ly/3UKXfUR 🚀#WiML2024

A huge thank you to Irene Ballester, our Finance and Sponsorship Chair for the #WiML Symposium. Irene will be instrumental in securing sponsorships and ensuring a successful event. Join us in showing appreciation for her efforts! #ICML2024 Register here: buff.ly/3WRW8oZ




We are excited to introduce our invited speaker for WiML Symposium ICML Conference, Fanny Yang (Fanny Yang)! She is an Assistant Professor in the Computer Science Department (D-INFK) at ETH Zurich. Speaker profile: buff.ly/3W3iTUX WiML Symposium: buff.ly/4cYndf0


We are thrilled to introduce our next invited speaker for WiML Symposium ICML Conference, Golnoosh Farnadi (Golnoosh Farnadi @NeurIPS2024)! She is an Assistant Professor at McGill University. Speaker profile: buff.ly/3W1CowY WiML Symposium: buff.ly/4cYndf0


We are excited to introduce our invited speaker for WiML Symposium ICML Conference, Irina Rish (Irina Rish)! She is a Professor at the Université de Montréal. Speaker profile: buff.ly/3zFiGQl WiML Symposium: buff.ly/4cYndf0




I will present a poster on "Virus Shaping: Opponent Shaping for Evolutionary Systems" in the Soltz foyer at 4 pm at the WiML Poster Session #ICML2024. It's an ongoing project done at Foerster Lab for AI Research in collaboration with Sebastian Towers. Come check it out!








Just wrapped up an insightful panel on "Building Your Career Path" at our workshop! 🚀 Our panelists shared invaluable advice and stories with our attendees. Thank you Feryal Golnoosh Farnadi @NeurIPS2024 Fanny Yang Ana Stoica ! #WiML #ICML




Introducing SPiKE: A breakthrough in 3D Human Pose Estimation by Irene Ballester, Peterka & Kampel. Uses point cloud sequences & Transformer architecture for 89.19% mAP on ITOP. State-of-the-art results with faster inference. Transforming AR, robotics & motion analysis #ICPR2024 #AI