Emmanuel Abbé
EPFL SB MATH MDS1
MA C2 543 (Bâtiment MA)
Station 8
1015 Lausanne
+41 21 693 25 50
+41 21 693 20 78
Office: MA C2 543
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Mission
The research in the chair of Mathematical Data Science (MDS) focuses on the mathematical principles that underpin the analysis and design of information and data science technologies. As branches of mathematics, this involves probability, statistics, and discrete mathematics, and as specific fields, machine learning and information theory.
Please consult http://deepfoundations.ai/ for postdoc applications.
Emmanuel Abbe received his Ph.D. degree from the EECS Department at the Massachusetts Institute of Technology (MIT) in 2008, and his M.S. degree from the Department of Mathematics at the Ecole Polytechnique Fédérale de Lausanne in 2003. He was at Princeton University as an assistant professor from 2012-2016 and an associate professor from 2016, jointly in the Program for Applied and Computational Mathematics and the Department of Electrical Engineering, as well an associate faculty in the Department of Mathematics at Princeton University since 2016. He joined EPFL in 2018 as a Full Professor, jointly in the Mathematics Institute and the School of Computer and Communication Sciences, where he holds the Chair of Mathematical Data Science.
He is the recipient of the Foundation Latsis International Prize, the Bell Labs Prize, the NSF CAREER Award, the Google Faculty Research Award, the Walter Curtis Johnson Prize, the von Neumann Fellowship from the Institute for Advanced Study, the IEEE Information Theory Society Paper Award, and a co-recipient of the Simons-NSF Mathematics of Deep Learning Collaborative Research Award.
Prof. E. Abbe is also a Global Expert at the Geneva Science and Diplomacy Anticipator (GESDA), a member of the Steering Committee of the Center for Intelligent Systems (CIS), EPFL, and director interim of the College des Sciences, EPFL.
Prix et distinctions
International Conference on Machine Learning (ICML)
2023
2020
Publications représentatives
Proof of the Contiguity Conjecture and Lognormal Limit for the Symmetric Perceptron
E. Abbe, S. Li, A. Sly
Published in FOCS'21 in
On the power of differentiable learning versus PAC and SQ learning
E. Abbe, P. Kamath, E. Malach, C. Sandon, N. Srebro
Published in NeurIPS'21 Spotlight in
The staircase property: how hierarchical structure can guide deep learning
E. Abbe, E. Boix-Adsera, M. Brenner, G. Bresler, D. Nagarj
Published in NeurIPS'21 in
Stochastic block model entropy and broadcasting on trees with survey
E. Abbe, E. Cornacchia, Y. Gu, Y. Polyanskiy
Published in COLT'21 Best Student Paper Award in
Quantifying the Benefit of Using Differentiable Learning over Tangent Kernels
E. Malach, P. Kamath, E. Abbe, N. Srebro
Published in ICML'21Â in
Reed-Muller codes: theory and algorithms,
E. Abbe, A. Shpilka, M. Ye
Published in Information Theory Trans. in
On the universality of deep learning
E. Abbe, C. Sandon
Published in NeurIPS 20 in
Reed-Muller codes polarize
E. Abbe, M. Ye
Published in FOCS 19 in
Recursive projection-aggregation decoding of Reed-Muller codes
Min Ye, Emmanuel Abbe
Published in ISIT 19 in
Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Nets
Amir R. Asadi, Emmanuel Abbe
Published in JMLR in
Subadditivity Beyond Trees and the Chi-Squared Mutual Information
Emmanuel Abbe, Enric Boix-AdserÃ
Published in ISIT 19 in
Graph powering and spectral robustness
E. Abbe, E. Boix, P. Ralli, C. Sandon
Published in SIAM Journal on Mathematics of Data Science in
An Information-Percolation Bound for Spin Synchronization on General Graphs
E. Abbe, E. Boix
Published in Annals of Applied Probability in
Chaining mutual information and tightening generalization bounds
A. Asadi, E. Abbe, S. Verdu
Published in NIPS 18 in
Group syncrhonization on grids
E. Abbe, L. Massoulié, A. Montanari, A. Sly, N. Srivastava
Published in Mathematical Statistics and Learning (MSL) 18 in
Communication-computation efficient gradient coding
M. Ye, E. Abbe
Published in ICML 18 in
Community Detection on Euclidean Random Graphs
A. Sankararaman, E. Abbe, F. Baccelli
Published in Information and Inference: A Journal of the IMA in
Multireference alignment is easier with an aperiodic translation distribution
E. Abbe, T. Bandory, W. Leeb, J. Pereira, N. Sharon, A. Singer
Published in Information Theory Trans. in
Entrywise eigenvector analysis of random matrices of low expected rank
E. Abbe, J. Fan, K. Wang, Y. Zhong
Published in Annals of Statistics in
Generalized nonbacktracking bounds on the influence
E. Abbe, S. Kulkarni, E. Lee
Published in JMLR in
Community detection and stochastic block models: recent development
E. Abbe
Published in JMLR in
Nonbacktracking bounds on the influence in cascade models
E. Abbe, S. Kulkarni, E. Lee
Published in NIPS 17 in
Sample complexity of the Boolean multireference alignment problem
E. Abbe, J. Pereira, A. Singer
Published in ISIT 16 in
Proof of the achievability conjectures in the general stochastic block model
E. Abbe, C. Sandon
Published in CPAM in
Detection in the stochastic block model with multiple clusters: proof of the achievability conjectures, acyclic BP, and the information-computation gap
E. Abbe, C. Sandon
Published in NIPS 16 oral in
Recovering communities in the general stochastic block model without knowing the parameters
E. Abbe, C. Sandon
Published in NIPS 15 in
Community detection in the general stochastic block model: fundamental limits and efficient recovery algorithms
E. Abbe, C. Sandon
Published in FOCS 15 in
Reed-Muller codes for random erasures and erros
E. Abbe, A. Shpilka, A. Wigderson
Published in STOC 15 in
Asymptotic mutual information for the balanced binary SBM
Y. Desphande, E. Abbe, A. Montanari
Published in Journal Information and Inference: A Journal of the IMA in
High-girth matrices and polarization
E. Abbe, Y. Wigderson
Published in ISIT 15 in
Exact recovery in the stochastic block model
E. Abbe, A. Bandeira, G. Hall
Published in Information Theory Trans. in
 Linear Boolean classification, coding and "the critical problem"
E. Abbe, N. Alon, A. Bandeira
Published in ISIT 14 in
Decoding graph labels from censored correlations: phase transition and efficient recovery
E. Abbe, A. Bandeira, A. Bracher, A. Singer
Published in Transactions on Network Science and Eng. in
Conditional random fields, planted constraint satisfaction and entropy concentration
E. Abbe, A. Montanari
Published in Journal Theory of Computing in
On the concentration of the number of solutions of random satisfiability formulas
E. Abbe, A. Montanari
Published in Random Structures and Algorithms in
Polar codes for broadcast channels
N. Goela, E. Abbe, M. Gastpar
Published in Information Theory Trans. in
Privacy-preserving methods in systemic risk
E. Abbe, A. Khandani, A. W. Lo
Published in American Economical Review (AER) in
Enseignement et PhD
Doctorant·es actuel·les
Denys Pushkin, Ortal Yona Senouf, Vladyslav Shashkov
A dirigé les thèses EPFL de
Elisabetta Cornacchia, Aryo Lotfi
Cours
Reasoning in artificial intelligence
MATH-700