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Evidence of local entropy optimization in machine learning, physics and neuroscience
Presenter
- Riccardo Zecchina
November 20, 2019
IPAM
Statistical Mechanics of Deep Manifolds: Mean Field Geometry in High Dimension
Presenter
- Haim Sompolinsky
November 19, 2019
IPAM
Quantum annealing and machine learning - new directions of quantum
Presenter
- Masayuki Ohzeki
November 19, 2019
IPAM
High-dimensional cost landscape and gradient descent in Tensor PCA and its generalisations
Presenter
- Chiara Cammarota
November 19, 2019
IPAM
Which is worse: a weak signal lost in entropy or trapping by topological complexity?
Presenter
- Gerard Ben Arous
November 19, 2019
IPAM
Machine learning for atomic and molecular simulations
Presenter
- Michele Ceriotti
November 18, 2019
IPAM
Covariant neural network architectures for learning physics
Presenter
- Risi Kondor
November 18, 2019
IPAM
Trainability and accuracy of artificial neural networks
Presenter
- Eric Vanden-Eijnden
November 18, 2019
IPAM
Capacity-resolution trade-off in the optimal learning of multiple low-dimensional manifolds by attractor neural networks
Presenter
- Remi Monasson
November 18, 2019
IPAM
Understanding machine learning via exactly solvable statistical physics models
Presenter
- Lenka Zdeborova
November 18, 2019
IPAM
Towards a low-cost scalable data-driven modeling of coupled systems and non-stationary time series analysis
Presenter
- Lukas Pospisil
November 1, 2019
IPAM