36 citations · 180 across the 14 of their papers we have counts for
4 papers · 1 filter
Sparse generative modeling via parameter-reduction of Boltzmann machines: application to protein-sequence families
Pierre Barrat-Charlaix, Anna Paola Muntoni, Kai Shimagaki +2
Boltzmann machines (BM) are widely used as generative models. For example, pairwise Potts models (PM), which are instances of the BM class, provide accurate statistical models of f…
A Density Consistency approach to the inverse Ising problem
Alfredo Braunstein, Giovanni Catania, Luca Dall'Asta +1
We propose a novel approach to the inverse Ising problem which employs the recently introduced Density Consistency approximation (DC) to determine the model parameters (couplings a…
Epidemic mitigation by statistical inference from contact tracing data
Antoine Baker, Indaco Biazzo, Alfredo Braunstein +10
Contact-tracing is an essential tool in order to mitigate the impact of pandemic such as the COVID-19. In order to achieve efficient and scalable contact-tracing in real time, digi…
Aligning biological sequences by exploiting residue conservation and coevolution
Anna Paola Muntoni, Andrea Pagnani, Martin Weigt +1
Sequences of nucleotides (for DNA and RNA) or amino acids (for proteins) are central objects in biology. Among the most important computational problems is that of sequence alignme…