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个人简介
My work focuses on the development of unsupervised learning and causal inference methods.
In particular, I work on the theory of novel linear and nonlinear models for independent component analysis, as well as on novel estimation techniques.
I am broadly interested in causality, and how causal modeling and reasoning help interpreting and understanding real world phenomena. Additionally, I am interested in exploring connections between machine learning and causality.
I am also interested in statistical physics. During my master, I took part in an international program on the Physics of Complex Systems involving institutes located in Trieste (SISSA and ICTP), Turin (Politecnico di Torino) and Paris (Universities Pierre & Marie Curie, Paris Diderot, Paris-Sud and the École Normale Supérieure at Cachan).
In particular, I work on the theory of novel linear and nonlinear models for independent component analysis, as well as on novel estimation techniques.
I am broadly interested in causality, and how causal modeling and reasoning help interpreting and understanding real world phenomena. Additionally, I am interested in exploring connections between machine learning and causality.
I am also interested in statistical physics. During my master, I took part in an international program on the Physics of Complex Systems involving institutes located in Trieste (SISSA and ICTP), Turin (Politecnico di Torino) and Paris (Universities Pierre & Marie Curie, Paris Diderot, Paris-Sud and the École Normale Supérieure at Cachan).
研究兴趣
论文共 18 篇作者统计合作学者相似作者
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Zhijing Jin, Yuen Chen,Felix Leeb,Luigi Gresele,Ojasv Kamal,Zhiheng Lyu, Kevin Blin, Fernando Gonzalez Adauto,Max Kleiman-Weiner,Mrinmaya Sachan,Bernhard Schölkopf
NeurIPS 2023 (2023)
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IEEE Transactions on Artificial Intelligenceno. 1 (2021): 18-27
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