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Speaker List

Displaying 23 speakers out of 23
AFONSO S. BANDEIRA (NYU)
Statistical-to-computational gaps in high dimensional hypothesis testing and other problems
ANDREW SAXE (Oxford U.)
Training and generalization dynamics in simple deep networks
DAVIDE ZOCCOLAN (SISSA - International School for Advanced Studies)
Intrinsic dimension of data representations in deep neural networks
FEDERICO RICCI-TERSENGHI (U. of Rome, La Sapienza)
Statistical mechanics of random optimization & inference problems: from phase transitions to algorithmic behavior
GUILLAUME OBOZINSKI (EPFL, Lausanne)
An SDCA-powered inexact dual augmented Lagrangian method for fast CRF learning
HAI-JUN ZHOU (Chinese Academy of Sciences)
Compressed sensing and optimal perceptron learning: Some ideas based on heuristic iteration
HELMUT BÖLCSKEI (ETH Zürich)
Fundamental limits of deep neural network learning
ILYA NEMENMAN (Emory U.)
Learning interpretable models of dynamics of living systems
JARED TANNER (Oxford U.)
The statistical significance of perfect linear separation
JEAN BARBIER (ICTP)
Beyond the thermodynamic limit in high-dimensional inference: finite size corrections and the «all-or-nothing» phenomenon
JOACHIM M. BUHMANN (ETH Zurich)
Perspectives on algorithm design for data science
LENKA ZDEBOROVA (CNRS)
Analysing the gradient descent-based dynamics in complex landscapes
MANFRED OPPER (TU Berliin)
Analysing the dynamics of message passing algorithms for inference using statistical mechanics and random matrix theory
MARC MEZARD (ENS, Paris)
Machine learning with neural networks: the importance of data structure
NAFTALI TISHBY (Hebrew U., Jerusalem)
Recent advances in the information theory of deep neural networks and the computational benefits of the hidden layers
OLIVIER PIETQUIN (Google Brain)
Deep reinforcement learning with demonstrations
PARTICIPANTS' POSTER
Poster Session
RICCARDO ZECCHINA (Bocconi U., Milan)
TBA
ROBERTO MULET (Universidad de la Habana)
Exploiting beliefs out of equilibrium
SCOTT KIRKPATRICK (Hebrew U., Jerusalem)
Deep search without early information
SIMONA COCCO (ENS, Paris)
From sequence data to protein design with Boltzmann machines
YOSHIYUKI KABASHIMA (Tokyo Institute of Technology)
Semi-analytic resampling in generalized linear models
YUE M. LU (Harvard U.)
Spectral methods for high-dimensional estimation: Asymptotics and fundamental limits

Organizers

Remi Monasson (ENS Paris), Alessandro Laio (SISSA), Joachim Buhmann (ETH Zurich), Erik Aurell (KTH Stockholm), Local Organiser: Matteo Marsili

Co-sponsors