Linear unit-tests for invariance discovery
Benjamin Aubin, Agnieszka Słowik, Martin Arjovsky, Leon Bottou, David Lopez-Paz
People
Research Lead
I received the Diplôme d’Ingénieur de l’École Polytechnique (X84) in 1987, the Magistère de Mathématiques Fondamentales et Appliquées et d’Informatique from École Normale Superieure in 1988, and a PhD in computer science from Université de Paris-Sud in 1991. I went to AT&T Bell Laboratories, AT&T Labs, NEC Labs America and Microsoft Research. I joined the Meta AI Research in March 2015.
The long term goal of my research is to understand how to build human-level intelligence. Although reaching this goal requires conceptual advances that cannot be anticipated at this point, it certainly entails clarifying how to learn and how to reason. My best known contributions are my work on “deep” neural networks in the 1990s, large scale learning in the 2000s, and possibly my more recent work on causal inference in learning systems. I am also known for the DjVu document compression technology.
AI, machine learning, optimization, computer vision, signal processing, natural language processing and data compression
Benjamin Aubin, Agnieszka Słowik, Martin Arjovsky, Leon Bottou, David Lopez-Paz
Rachel Ward, Xiaoxia Wu, Leon Bottou
Zhengdao Chen, Jianyu Zhang, Martin Arjovsky, Leon Bottou
Aaron Defazio, Leon Bottou
Chhavi Yadav, Leon Bottou
Carl-Johann Simon-Gabriel, Yann Ollivier, Bernhard Scholkopf, Leon Bottou, David Lopez-Paz