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SUMMARY:Singular Learning Theory Days 2026
DTSTART:20261026T080000Z
DTEND:20261027T170000Z
DTSTAMP:20260920T213800Z
UID:indico-event-783@plan.events.mpg.de
CONTACT:slt26@mpi-cbg.de
DESCRIPTION:Welcome to the Singular Learning Theory Days\, a meeting on si
 ngular learning theory bringing together researchers from singularity theo
 ry\, statistics\, and machine learning.\nThe conference will take place at
  MPI CBG Dresden from October 26-27 2026.\nAbout the meeting\nSingular lea
 rning theory has developed into a rich framework for studying statistical 
 models with singularities\, yet work in the area remains dispersed across 
 several communities. The workshop will bring these communities into sustai
 ned conversation.\nThe meeting has three main goals. First\, it aims to co
 nnect and consolidate the singular learning theory community. Second\, it 
 will clarify what singular learning theory can contribute to present-day s
 tatistical and machine-learning practice\, and which problems should shape
  the field over the next few years. Third\, it will introduce researchers 
 from complex and algebraic geometry to learning coefficients and related i
 nvariants\, with the explicit aim of building a lasting bridge between the
 se communities.\nThe programme contains research talks from leading scient
 ists in the area\, as well as time for collaborative working and open prob
 lem sessions to foster new collaborations.\nRegistration\nThe registration
  is open until September 1 2026. Please register here. There is limited fu
 nding available to support early-career researchers.\nInvited Speakers\n\n
 Dan Bath (KU Leuven)\nMathias Drton (Technical University of Munich)\nAnne
  Frühbis-Krüger (University of Oldenburg)\nDimitra Kosta (University of 
 Edinburgh)\nEdmund Lau (Department for Science\, Innovation and Technology
  UK)\nAnthea Monod (Imperial College London)\nJules Tsukahara (Sorbonne Un
 iversity)\nSumio Watanabe (Institute of Science Tokyo) -online-\n\nOrganiz
 ers\n\nJiayi Li (CSBD / MPI CBG / TU Dresden)\nMaximilian Wiesmann (CSBD /
  MPI CBG / MPI PKS / TU Dresden)\nDaniel Windisch (KU Leuven)\n\nFunding\n
 We gratefully acknowledge funding by the Max Planck Society\, the Max Plan
 ck Institute of Molecular Cell Biology and Genetics\, and by the DFG via t
 he SPP 2458 Combinatorial Synergies.\n\n\n\nhttps://plan.events.mpg.de/eve
 nt/783/
IMAGE;VALUE=URI:https://plan.events.mpg.de/event/783/logo-233639413.png
LOCATION:Large Auditorium (Max Planck Institute of Molecular Cell Biology 
 and Genetics)
URL:https://plan.events.mpg.de/event/783/
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