Sfoglia per SSD
Model reduction for the Chemical Master Equation: An information-theoretic approach
2023-01-01 Ocal, Kaan; Sanguinetti, Guido; Grima, Ramon
Modeling the Influence of Data Structure on Learning in Neural Networks: The Hidden Manifold Model
2020-01-01 Goldt, S.; Mezard, M.; Krzakala, F.; Zdeborova, L.
Molecular Mechanics/ Coarse-Grained hybrid model for investigating protein function
2007-02-28 Neri, Marilisa
Multi-omics profiling of mouse gastrulation at single-cell resolution
2019-01-01 Argelaguet, R.; Clark, S. J.; Mohammed, H.; Stapel, L. C.; Krueger, C.; Kapourani, C. -A.; Imaz-Rosshandler, I.; Lohoff, T.; Xiang, Y.; Hanna, C. W.; Smallwood, S.; Ibarra-Soria, X.; Buettner, F.; Sanguinetti, G.; Xie, W.; Krueger, F.; Gottgens, B.; Rugg-Gunn, P. J.; Kelsey, G.; Dean, W.; Nichols, J.; Stegle, O.; Marioni, J. C.; Reik, W.
Network of epistatic interactions within a yeast snoRNA
2016-01-01 Puchta, O.; Cseke, B.; Czaja, H.; Tollervey, D.; Sanguinetti, G.; Kudla, G.
Network Structure within the Cerebellar Input Layer Enables Lossless Sparse Encoding
2014-01-01 Billings, G.; Piasini, E.; Lorincz, A.; Nusser, Z.; Silver, R. A.
Neural field models for latent state inference: Application to large-scale neuronal recordings
2019-01-01 Rule, M. E.; Schnoerr, D.; Hennig, M. H.; Sanguinetti, G.
Neural networks trained with SGD learn distributions of increasing complexity
2023-01-01 Refinetti, Maria; Ingrosso, Alessandro; Goldt, Sebastian
De novo prediction of RNA-protein interactions with graph neural networks
2022-01-01 Arora, Viplove; Sanguinetti, Guido
Nuclear Magnetic Resonance Study of Complex Molecular Crystals From First Principles: Case of Cholesterol
2011-10-28 Kucukbenli, Emine
The Open Source Brain Initiative: enabling collaborative modelling in computational neuroscience
2012-01-01 Gleeson, P.; Piasini, E.; Crook, S.; Cannon, R.; Steuber, V.; Jaeger, D.; Solinas, S.; D’Angelo, E.; Silver, R. A.
Open Source Brain: A Collaborative Resource for Visualizing, Analyzing, Simulating, and Developing Standardized Models of Neurons and Circuits
2019-01-01 Gleeson, P.; Cantarelli, M.; Marin, B.; Quintana, A.; Earnshaw, M.; Sadeh, S.; Piasini, E.; Birgiolas, J.; Cannon, R. C.; Cayco-Gajic, N. A.; Crook, S.; Davison, A. P.; Dura-Bernal, S.; Ecker, A.; Hines, M. L.; Idili, G.; Lanore, F.; Larson, S. D.; Lytton, W. W.; Majumdar, A.; Mcdougal, R. A.; Sivagnanam, S.; Solinas, S.; Stanislovas, R.; van Albada, S. J.; van Geit, W.; Silver, R. A.
Parameter estimation for biochemical reaction networks using Wasserstein distances
2020-01-01 Ocal, K.; Grima, R.; Sanguinetti, G.
Parameter estimation of stochastic chaotic systems
2021-01-01 Maraia, R.; Springer, S.; Haario, H.; Hakkarainen, J.; Saksman, E.
PartCrafter: find, generate and analyze BioParts
2019-01-01 Scher, E.; Cohen, S. B.; Sanguinetti, G.
Perspectives on adaptive dynamical systems
2023-01-01 Sawicki, J.; Berner, R.; Loos, S. A. M.; Anvari, M.; Bader, R.; Barfuss, W.; Botta, N.; Brede, N.; Franovic, I.; Gauthier, D. J.; Goldt, S.; Hajizadeh, A.; Hovel, P.; Karin, O.; Lorenz-Spreen, P.; Miehl, C.; Molter, J.; Olmi, S.; Scholl, E.; Seif, A.; Tass, P. A.; Volpe, G.; Yanchuk, S.; Kurths, J.
Phases of Polymers and Biopolymers
2002-10-17 Marenduzzo, Davide
Policy learning in continuous-time Markov decision processes using Gaussian Processes
2017-01-01 Bartocci, E.; Bortolussi, L.; Brazdil, T.; Milios, D.; Sanguinetti, G.
Polyelectrolyte based NANO-approaches for Cancer therapy or diagnostics
2010-10-21 Mandal, Subhra
ProPPA: Probabilistic Programming for Stochastic Dynamical Systems
2018-01-01 Georgoulas, A; Hillston, J; Sanguinetti, G
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