1.6k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Politecnico di TorinoIT83 papers
- Collegio Carlo AlbertoIT36 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di TorinoIT27 papers
- Sapienza University of RomeIT21 papers
- Centre National de la Recherche ScientifiqueFR19 papers
- Istituto di NanotecnologiaIT19 papers
- National Research CouncilLK16 papers
- Sorbonne UniversitéFR14 papers
- Biologie Computationnelle, Quantitative et SynthétiqueFR12 papers
- École Normale Supérieure - PSLFR10 papers
- Institut de Biologie Paris-SeineFR9 papers
- Istituto Nazionale di Fisica NucleareIT9 papers
17 papers · 1 filter
Numerical estimate of the Kardar Parisi Zhang universality class in (2 + 1) dimensions
Andrea Pagnani, Giorgio Parisi
We study the Restricted Solid on Solid model for surface growth in spatial dimension by means of a multi-surface coding technique that allows to produce a large number of sam…
On the role of extrinsic noise in microRNA-mediated bimodal gene expression
Marco Del Giudice, Stefano Bo, Silvia Grigolon +1
Several studies highlighted the relevance of extrinsic noise in shaping cell decision making and differentiation in molecular networks. Experimental evidences of phenotypic differe…
One-loop diagrams in the Random Euclidean Matching Problem
Carlo Lucibello, Giorgio Parisi, Gabriele Sicuro
The matching problem is a notorious combinatorial optimization problem that has attracted for many years the attention of the statistical physics community. Here we analyze the Euc…
Network reconstruction from infection cascades
Alfredo Braunstein, Alessandro Ingrosso, Anna Paola Muntoni
Accessing the network through which a propagation dynamics diffuse is essential for understanding and controlling it. In a few cases, such information is available through direct e…
Predicting epidemic evolution on contact networks from partial observations
Jacopo Bindi, Alfredo Braunstein, Luca Dall'Asta
The massive employment of computational models in network epidemiology calls for the development of improved inference methods for epidemic forecast. For simple compartment models,…
A method to reduce the rejection rate in Monte Carlo Markov Chains
Carlo Baldassi
We present a method for Monte Carlo sampling on systems with discrete variables (focusing in the Ising case), introducing a prior on the candidate moves in a Metropolis-Hastings sc…
Practical optimization of Steiner Trees via the cavity method
Alfredo Braunstein, Anna Muntoni
The optimization version of the cavity method for single instances, called Max-Sum, has been applied in the past to the Minimum Steiner Tree Problem on Graphs and variants. Max-Sum…
Inverse problem for multi-body interaction of nonlinear waves
Alessia Marruzzo, Payal Tyagi, Fabrizio Antenucci +2
The inverse problem is studied in multi-body systems with nonlinear dynamics representing, e.g., phase-locked wave systems, standard multimode and random lasers. Using a general mo…
Constrained Allocation Flux Balance Analysis
Matteo Mori, Terence Hwa, Olivier C. Martin +2
New experimental results on bacterial growth inspire a novel top-down approach to study cell metabolism, combining mass balance and proteomic constraints to extend and complement F…
Simultaneous identification of specifically interacting paralogs and inter-protein contacts by Direct-Coupling Analysis
Thomas Gueudré, Carlo Baldassi, Marco Zamparo +2
Understanding protein-protein interactions is central to our understanding of almost all complex biological processes. Computational tools exploiting rapidly growing genomic databa…
Unreasonable Effectiveness of Learning Neural Networks: From Accessible States and Robust Ensembles to Basic Algorithmic Schemes
Carlo Baldassi, Christian Borgs, Jennifer Chayes +4
In artificial neural networks, learning from data is a computationally demanding task in which a large number of connection weights are iteratively tuned through stochastic-gradien…
Noise Processing by MicroRNA-Mediated Circuits: the Incoherent Feed-Forward Loop, Revisited
Silvia Grigolon, Francesca Di Patti, Andrea De Martino +1
The intrinsic stochasticity of gene expression is usually mitigated in higher eukaryotes by post-transcriptional regulation channels that stabilise the output layer, most notably p…
Regularization and decimation pseudolikelihood approaches to statistical inference in -spin models
Payal Tyagi, Alessia Marruzzo, Andrea Pagnani +2
We implement a pseudolikelyhood approach with l2-regularization as well as the recently introduced pseudolikelihood with decimation procedure to the inverse problem in continuous s…
Network dismantling
Alfredo Braunstein, Luca Dall'Asta, Guilhem Semerjian +1
We study the network dismantling problem, which consists in determining a minimal set of vertices whose removal leaves the network broken into connected components of sub-extensive…
Learning may need only a few bits of synaptic precision
Carlo Baldassi, Federica Gerace, Carlo Lucibello +2
Learning in neural networks poses peculiar challenges when using discretized rather then continuous synaptic states. The choice of discrete synapses is motivated by biological reas…
The large deviations of the whitening process in random constraint satisfaction problems
Alfredo Braunstein, Luca Dall'Asta, Guilhem Semerjian +1
Random constraint satisfaction problems undergo several phase transitions as the ratio between the number of constraints and the number of variables is varied. When this ratio exce…
Growth against entropy in bacterial metabolism: the phenotypic trade-off behind empirical growth rate distributions in E. coli
Daniele De Martino, Fabrizio Capuani, Andrea De Martino
The solution space of genome-scale models of cellular metabolism provides a map between physically viable flux configurations and cellular metabolic phenotypes described, at the mo…