Starts 20 Jul 2026
Ends 23 Jul 2026
Central European Time
Youth in High-Dimensions: Recent Progress in Machine Learning, High-Dimensional Statistics and Inference | (smr 4227)
ICTP
Budinich Lecture Hall (LB)
Strada Costiera, 11
I - 34151 Trieste (Italy)
An ICTP Hybrid Meeting
Topics
📢 The following activity to be held from 23 to 31 July 2026 may also be of interest for you: Advanced School in Applied Machine Learning: Uncertainty and Robustness of DL Models for Science | (smr 4228)
The seventh edition of “Youth in high dimensions” will give to young researchers the opportunity to gather and present recent results on high-dimensional statistical problems, in areas ranging from machine learning and inference to neuroscience or statistical physics.
Typical problems in high-dimensions include estimating noisy signals (compressed sensing, PCA and tensor decomposition), analysing (deep) neural-networks, detecting communities in large networks, or modelling 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 increasingly challenging problems at the forefront of data science.
This conference aims at reinforcing the links among this interdisciplinary community, and in particular of its youngest theory-oriented members, and to bring forward the latest development happening in the high-dimensional world.
Typical problems in high-dimensions include estimating noisy signals (compressed sensing, PCA and tensor decomposition), analysing (deep) neural-networks, detecting communities in large networks, or modelling 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 increasingly challenging problems at the forefront of data science.
This conference aims at reinforcing the links among this interdisciplinary community, and in particular of its youngest theory-oriented members, and to bring forward the latest development happening in the high-dimensional world.
Topics
- High-dimensional statistics
- Statistical physics
- Machine learning
- Computational neuroscience
- Complex systems
- Machine learning for science
- Statistical inference
Speakers
S. D. Buchanan, UC Berkeley, USA
J. Cohen, Flatiron, USA
R. Cosson, NYU, USA
Y. Dandi, EPFL, Switzerland
C. Domine, ISTA, Austria
A. Favero, Cambridge University, UK
J. Gaitonde, Duke University, USA
A. Koloskova, Zurich University, Switzerland
G. Kur, ETH, Switzerland
C. Lauditi, Harvard University, USA
S. Li, Yale University, USA
A. Lotfi Apple, Switzerland
P. Marion, INRIA Paris, France
E. Nichani, Princeton University, USA
L. Noci, ETH, Switzerland
R. Skerk, ICTP, Italy
N. Tsilivis, NYU, USA
Research abstracts: Applicants are encouraged to submit an abstract for a poster presentation. During the application, please make sure to use our templates to format your abstract. Templates are available below for download.
S. D. Buchanan, UC Berkeley, USA
J. Cohen, Flatiron, USA
R. Cosson, NYU, USA
Y. Dandi, EPFL, Switzerland
C. Domine, ISTA, Austria
A. Favero, Cambridge University, UK
J. Gaitonde, Duke University, USA
A. Koloskova, Zurich University, Switzerland
G. Kur, ETH, Switzerland
C. Lauditi, Harvard University, USA
S. Li, Yale University, USA
A. Lotfi Apple, Switzerland
P. Marion, INRIA Paris, France
E. Nichani, Princeton University, USA
L. Noci, ETH, Switzerland
R. Skerk, ICTP, Italy
N. Tsilivis, NYU, USA
Research abstracts: Applicants are encouraged to submit an abstract for a poster presentation. During the application, please make sure to use our templates to format your abstract. Templates are available below for download.
Contributed talk: The possibility of giving a contributed talk will be offered to a selection of people who will present a poster.
📢 The students are invited to follow the ceremony for the AI prize, that will be hosted at ICTP on July 23rd.
📢 The students are invited to follow the ceremony for the AI prize, that will be hosted at ICTP on July 23rd.
📢 The following activity to be held from 23 to 31 July 2026 may also be of interest for you: Advanced School in Applied Machine Learning: Uncertainty and Robustness of DL Models for Science | (smr 4228)
Grants: A limited number of grants are available to support the attendance of selected participants, with priority given to participants from developing countries. There is no registration fee
18 Apr 2026 for applicants requesting financial and/or visa support, 9 May 2026 for all other applicants
**DEADLINE: 09/05/2026**
Organizers
Elisabetta Cornacchia (Bocconi University, Italy), Sebastian Goldt (SISSA, Italy), Marco Mondelli (Institute of Science and Technology, Austria), Local Organiser: Jean Barbier (ICTP)
