38 citations · 71 across the 4 of their papers we have counts for
4 papers
The Decimation Scheme for Symmetric Matrix Factorization
Francesco Camilli, Marc Mézard
Matrix factorization is an inference problem that has acquired importance due to its vast range of applications that go from dictionary learning to recommendation systems and machi…
Sparse Representations, Inference and Learning
Clarissa Lauditi, Emanuele Troiani, Marc Mézard
In recent years statistical physics has proven to be a valuable tool to probe into large dimensional inference problems such as the ones occurring in machine learning. Statistical…
Generative diffusion in very large dimensions
Giulio Biroli, Marc Mézard
Generative models based on diffusion have become the state of the art in the last few years, notably for image generation. Here, we analyse them in the high-dimensional limit, wher…
The Exponential Capacity of Dense Associative Memories
Carlo Lucibello, Marc Mézard
Recent generalizations of the Hopfield model of associative memories are able to store a number of random patterns that grows exponentially with the number of neurons, $P=\…