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Home > Speaker Index

Speaker List

Displaying 28 speakers out of 28
BERTHET QUENTIN (Google Paris, France)
Learning with Differentiable Perturbed Optimizers
BOIX ENRIC (MIT, USA)
The Average-Case Complexity of Counting Cliques in Erdos-Renyi Hypergraphs
BRENNAN MATT (MIT, USA)
Reductions and the Complexity of Statistical Problems
BUDZYNSKI LOUISE (ENS Paris, France)
Biased landscapes in random Constraint Satisfaction Problems
DESHPANDE YASH (MIT, USA)
Statistical inference with Adaptively Collected Data
D’ASCOLI STEPHANE (ENS Paris, France)
Reconciling the double descent curve with older ideas
EL-ALAOUI AHMED (Stanford, USA)
Optimization of mean-field spin glasses
GABRIÉ MARYLOU (NYU, USA)
Progress and hurdles in the statistical mechanics of deep learning
GOLDT SEBASTIAN (ENS Paris, France)
The impact of data structure on learning in two-layer neural networks
JAGANNATH AUKOSH (Waterloo University, Canada)
A classification of loss landscapes for the difficulty of weak recovery by gradient-type algorithms
LOKHOV ANDREY (Los Alamos National Laboratory, USA)
Learning Discrete Graphical Models with Neural Networks
LOUREIRO BRUNO (ENS Paris, France)
Generalisation error in learning with random features and the hidden manifold model
LUCIBELLO CARLO (Bocconi University, Italy)
Entropic gradient descent algorithms and wide flat minima
LUNEAU CLÉMENT (EPFL, Switzerland)
Tensor estimation with structured priors
MAILLARD ANTOINE (ENS Paris, France)
Phase retrieval in high dimensions: Statistical and computational phase transitions
MEI SONG (Stanford, USA)
When Do Neural Networks Outperform Kernel Methods?
MINGIONE EMANUELE (EPFL, Switzerland)
Deep Boltzmann Machine: a study of the  annealed and the replica symmetric region
MONDELLI MARCO (IST Austria, Austria)
Understanding Gradient Descent for Over-parameterized Deep Neural Networks
MUELLER NOELA (Frankfurt University, Germany)
The replica symmetric phase of random constraint satisfaction problems
NAGARAJ DHEERAJ (MIT, USA)
A Corrective View of Neural Networks: Representation, Memorization and Learning
ROS VALENTINA (ENS Paris, France)
Dynamics in high-dimensional non-convex landscapes: from slow descent to activation
SAENZ MANUEL (ICTP, Italy)
Maximum independent sets of random graphs with given degrees
SAGLIETTI LUCA (ENS Paris, France)
Investigating the limits of active learning in the perceptron model
SEN SUBHABRATA (Harvard, USA)
The Overlap Gap Property for submatrix recovery
SUBAG ELIRAN (NYU, USA)
Optimization of full-RSB spherical spin glasses
SUR PRAGYA (Harvard, USA)
A precise high-dimensional asymptotic theory for boosting
TANTARI DANIELE (Bologna University, Italy)
Inverse problems for structured datasets using parallel TAP equations
URBANI PIERFRANCESCO (IPHT Saclay, France)
DMFT for SGD

Organizers

Florent Krzakala (ENS Paris, France), Jean Barbier (ICTP), Local Organiser: Matteo Marsili