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VERSION:2.0
PRODID:-//Memento EPFL//
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SUMMARY:MARVEL Junior Seminar
DTSTART:20230921T121500
DTEND:20230921T131500
DTSTAMP:20260406T175057Z
UID:b87e2b34c6a8f5db9f98c45691d2f42af20914de1320830ebfdc2ad5
CATEGORIES:Conferences - Seminars
DESCRIPTION:Sanggyu Chong & Martin Uhrin (EPFL)\nThe MARVEL Junior Semina
 r series is continuing in hybrid mode\, in order to maintain in-person con
 tacts and allow off-campus attendees to follow the seminars remotely! The 
 MARVEL Junior Seminars aim to intensify interactions between the MARVEL Ju
 nior scientists belonging to different research groups. The seminar consis
 ts of two 25-minute presentations\, followed by time for discussion.\n\
 nRobustness of local and component-wise predictions in machine learnin
 g models\nSanggyu Chong\nLaboratory of Computational Science and Modeling
  - COSMO\, EPFL\n \nEquivariant machine learning: A natural and highly da
 ta-efficient tool for predicting physical quantities\nMartin Uhrin\nLabora
 tory of Theory and Simulation of Materials - THEOS\, EPFL\n\n 
LOCATION:MED 2 1124 (Coviz2) https://plan.epfl.ch/?room==MED%202%201124 ht
 tps://epfl.zoom.us/j/68368776745?pwd=TFdMTkhjYTV1UEJyanorTkQyUTRvUT09
STATUS:CONFIRMED
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