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Subgroup Discovery for Assessing the Domain of Applicability of Machine Learning Models
Presenter
- Chris Sutton
November 21, 2019
IPAM
Graph neural networks for combinatorial optimization problems
Presenter
- Soledad Villar
November 21, 2019
IPAM
Machine learning with neural networks: the importance of data structure
Presenter
- Marc Mezard
November 21, 2019
IPAM
Boltzmann Trees: a physically inspired randomization for robust modeling of physical data
Presenter
- Maxwell Hutchinson
November 20, 2019
IPAM
Innovating machine learning with near-term quantum computing
Presenter
- Maria Schuld
November 20, 2019
IPAM
On the existence of wide flat minima in neural network landscapes: analytic and algorithm approaches
Presenter
- Carlo Baldassi
November 20, 2019
IPAM
Deep learning as a toy model of the 1/N-expansion and renormalization
Presenter
- Daniel Roberts
November 20, 2019
IPAM
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