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SUMMARY:Youth in High-Dimensions: Recent Progress in Machine Learning\, Hi
 gh-Dimensional Statistics and Inference | (smr 4227)
DTSTART;VALUE=DATE-TIME:20260720T060000Z
DTEND;VALUE=DATE-TIME:20260723T200000Z
DTSTAMP;VALUE=DATE-TIME:20260813T145644Z
UID:indico-event-11153@ictp.it
DESCRIPTION:An ICTP Hybrid Meeting\n	The seventh edition of “Youth in hi
 gh dimensions” will give to young researchers the opportunity to gather 
 and present recent results on high-dimensional statistical problems\, in a
 reas ranging from machine learning and inference to neuroscience or statis
 tical physics.\n	Typical problems in high-dimensions include estimating no
 isy signals (compressed sensing\, PCA and tensor decomposition)\, analysin
 g (deep) neural-networks\, detecting communities in large networks\, or mo
 delling disordered spin systems. These seemingly unrelated problems share 
 many similarities in their phenomenology and in the tools used to analyse 
 them. The core of the field is made of a very active\, diverse and quickly
  expanding community of physicists\, computer scientists\, mathematicians\
 , information theorists and engineers\, with the common desire to tackle i
 ncreasingly challenging problems at the forefront of data science.\n	This 
 conference aims at reinforcing the links among this interdisciplinary comm
 unity\, and in particular of its youngest theory-oriented members\, and to
  bring forward the latest development happening in the high-dimensional wo
 rld.\n\n	Topics\n\n		High-dimensional statistics\n	\n		Statistical physics
 \n	\n		Machine learning\n	\n		Computational neuroscience\n	\n		Complex sys
 tems\n	\n		Machine learning for science\n	\n		Statistical inference\n\n	Sp
 eakers\n	S. D. Buchanan\, UC Berkeley\, USA\n	J. Cohen\, Flatiron\, USA\n	
 R. Cosson\, NYU\, USA\n	Y. Dandi\, EPFL\, Switzerland\n	C. Domine\, ISTA\,
  Austria\n	A. Favero\, Cambridge University\, UK\n	J. Gaitonde\, Duke Univ
 ersity\, USA\n	A. Koloskova\, Zurich University\, Switzerland\n	G. Kur\, E
 TH\, Switzerland\n	C. Lauditi\, Harvard University\, USA\n	S. Li\, Yale Un
 iversity\, USA\n	A. Lotfi\, Apple\, Switzerland\n	P. Marion\, INRIA Paris\
 , France\n	E. Nichani\, Princeton University\, USA\n	L. Noci\, ETH\, Switz
 erland\n	R. Skerk\, ICTP\, Italy\n	N. Tsilivis\, NYU\, USAResearch abstrac
 ts: Applicants are encouraged to submit an abstract for a poster presenta
 tion. ​During the application\, please make sure to use our templates to
  format your abstract. Templates are available below for download.\n	 \n\
 n	Contributed talk: The possibility of giving a contributed talk will be 
 offered to a selection of people who will present a poster.\n	📢 The stu
 dents are invited to follow the ceremony for the AI prize\, that will be h
 osted at ICTP on July 23rd.\n\n📢 The following activity to be held from
  23 to 31 July 2026 may also be of interest for you: Advanced School in Ap
 plied Machine Learning: Uncertainty and Robustness of DL Models for Scienc
 e | (smr 4228)\n	Grants: A limited number of grants are available to suppo
 rt the attendance of selected participants\, with priority given to partic
 ipants from developing countries. There is no registration fee\n\n	\n\n//i
 ndico.ictp.it/event/11153/
LOCATION:ICTP Budinich Lecture Hall (LB)
URL://indico.ictp.it/event/11153/
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