User:Quaenuncabibis/Clément Hongler
 | This is not a Wikipedia article: It is an individual user's work-in-progress page, and may be incomplete and/or unreliable. For guidance on developing this draft, see Wikipedia:So you made a userspace draft. Find sources: Google (books · news · scholar · free images · WP refs) · FENS · JSTOR · TWL |
Professor Clément Hongler | |
|---|---|
 Clément Hongler in 2018 | |
| Born | 1985 (age 38–39) |
| Nationality | Swiss |
| Education | Mathematics, physics |
| Alma mater | EPFL, University of Geneva |
| Scientific career | |
| Fields | Statistical mechanics, probability, quantum field theory, conformal field theory, machine learning, neural networks |
| Institutions | EPFL (École Polytechnique Fédérale de Lausanne) |
| Thesis | Conformal Invariance of Ising Model Correlations (2010) |
| Doctoral advisor | Stanislav Smirnov |
| Website | www |
Clément Hongler (born 1985 in Geneva) is a Swiss mathematician and physicist. He is a professor of mathematics at EPFL (École Polytechnique Fédérale de Lausanne) and the head of the Chair of Statistical Field Theory.[1]
Career
[edit]Clément Hongler received his M.Sc. in mathematics from the EPFL in 2008. Under the direction of Stanislav Smirnov, he earned his Ph.D. in 2010 at the University of Geneva for his thesis on "Conformal Invariance of Ising Model Correlations."[2] From September 2010 to July 2014, he worked as a Ritt Assistant Professor at Columbia University.[3]
He has served as the Chair of Statistical Field Theory (CSFT) at EPFL since July 2014, first a an assistant professor and since 2018 as associate professor.[1]
Research
[edit]Statistical mechanics, quantum field theory, learning theory, and decentralized systems make up the majority of our study.
His current work focuses on lattice models and their relationships to learning theory, statistical mechanics, quantum field theory, decentralized systems, and quantum field theories.
the examination of the relationship between conformal field theories and lattice models. More specifically, we are interested in exposing conformal field theory structures within lattice models, rigorously explaining phase transitions in lattice models in terms of conformal field theories, and connecting field theories with probabilistic objects like random curves and fields. Our goal is to properly combine discrete and continuous models, statistical and quantum theories, algebraic and probabilistic structures that appear in the study of phase transitions by building mathematically precise bridges between these items. the dynamics of learning, especially during training of deep neural networks. More specifically, we use methods from probability, functional analysis, and algebra to study the dynamics of neural networks during supervised learning (such as regression or classification) or unsupervised learning (such as generative adversarial networks). We specifically look into how neural networks relate to other learning strategies (such kernel methods) and what makes them so effective for a variety of tasks.
Blockchain technology in particular, along with algorithmic game theory, are examples of decentralized systems.
Distinctions
[edit]Hongler received the 2014 Blavantik Awards for Young Scientists[4] and the 2017 Latsis University Prize.[5]
Selected works
[edit]- Jacot, Arthur; Gabriel, Franck; Hongler, Clément (2021-06-15). "Neural tangent kernel: convergence and generalization in neural networks (invited paper)". Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing. New York, NY, USA: ACM: 6. doi:10.1145/3406325.3465355. ISBN 9781450380539. S2CID 49321232.
- Chelkak, Dmitry; Duminil-Copin, Hugo; Hongler, Clément; Kemppainen, Antti; Smirnov, Stanislav (2014). "Convergence of Ising interfaces to Schrammʼs SLE curves". Comptes Rendus Mathematique. 352 (2): 157–161. doi:10.1016/j.crma.2013.12.002. S2CID 55971720.
- Chelkak, Dmitry; Hongler, Clément; Izyurov, Konstantin (2012). "Conformal Invariance of Spin Correlations in the Planar Ising Model". arXiv:1202.2838.
{{cite journal}}: Cite journal requires|journal=(help) - Geiger, Mario; Jacot, Arthur; Spigler, Stefano; Gabriel, Franck; Sagun, Levent; d'Ascoli, Stéphane; Biroli, Giulio; Hongler, Clément; Wyart, Matthieu (2020). "Scaling description of generalization with number of parameters in deep learning". Journal of Statistical Mechanics: Theory and Experiment. 2020 (2): 023401. arXiv:1901.01608. doi:10.1088/1742-5468/ab633c. S2CID 57573772.
- Duminil-Copin, Hugo; Hongler, Clément; Nolin, Pierre (2011). "Connection probabilities and RSW-type bounds for the two-dimensional FK Ising model". Communications on Pure and Applied Mathematics. 64 (9): 1165–1198. doi:10.1002/cpa.20370. S2CID 120777401.
- Hongler, Clément; Smirnov, Stanislav (2010). "The energy density in the planar Ising model". arXiv:1008.2645.
{{cite journal}}: Cite journal requires|journal=(help)
References
[edit]- ^ a b "20 professors appointed at ETH Zurich and EPFL". www.seco.admin.ch. Retrieved 2022-07-16.
- ^ Hongler, Clément, ed. (2010). Conformal Invariance of Ising Model Correlations. Université de Genève.
- ^ Yorke, Department of Mathematics at Columbia University New. "Department of Mathematics at Columbia University - Clément Hongler Awarded The Blavatnik Award". Retrieved 2022-07-20.
- ^ "Clément Hongler | Blavatnik Awards for Young Scientists". blavatnikawards.org. Retrieved 2022-07-16.
- ^ Marti-Rochat, Patricia (2017-08-10). "University Latsis Award EPFL 2017 – Clément Hongler".
{{cite journal}}: Cite journal requires|journal=(help)
External links
[edit]- Quaenuncabibis/Clément Hongler publications indexed by Google Scholar
- Website of the Chair of Statistical Field Theory
Category:1985 births Category:Living people Category:EPFL alumni Category:University of Geneva alumni Category:Colombia University alumni Category:Academic staff of the École Polytechnique Fédérale de Lausanne