De Martino, Daniele, Fabrizio Capuani, and Andrea De Martino. “Quantifying the Entropic Cost of Cellular Growth Control.”https://doi.org/10.1103/PhysRevE.96.010401__https://doi.org/10.1103/PhysRevE.96.010401__Physical Review E Statistical Nonlinear and Soft Matter Physics . American Institute of Physics, 2017.https://doi.org/10.1103/PhysRevE.96.010401 .

Zagórski, Marcin P, Yoji Tabata, Nathalie Brandenberg, Matthias Lutolf, Gasper Tkadik, Tobias Bollenbach, James Briscoe, and Anna Kicheva. “Decoding of Position in the Developing Neural Tube from Antiparallel Morphogen Gradients.”https://doi.org/10.1126/science.aam5887__Science. American Association for the Advancement of Science, 2017.https://doi.org/10.1126/science.aam5887 .

Colabrese, Simona, Daniele De Martino, Luca Leuzzi, and Enzo Marinari. “Phase Transitions in Integer Linear Problems.”https://doi.org/10.1088/1742-5468/aa85c3__https://doi.org/10.1088/1742-5468/aa85c3__Journal of Statistical Mechanics: Theory and Experiment. IOPscience, 2017.https://doi.org/10.1088/1742-5468/aa85c3 .

Savin, Cristina, and Gasper Tkadik. “Maximum Entropy Models as a Tool for Building Precise Neural Controls.”https://doi.org/10.1016/j.conb.2017.08.001__Current Opinion in Neurobiology. Elsevier, 2017.https://doi.org/10.1016/j.conb.2017.08.001 .

De Martino, Daniele. “Maximum Entropy Modeling of Metabolic Networks by Constraining Growth-Rate Moments Predicts Coexistence of Phenotypes.”https://doi.org/10.1103/PhysRevE.96.060401__Physical Review E. American Physical Society, 2017.https://doi.org/10.1103/PhysRevE.96.060401 .

Lang, Moritz, and Eduardo Sontag. “Zeros of Nonlinear Systems with Input Invariances.”https://doi.org/10.1016/j.automatica.2017.03.030__Automatica. International Federation of Automatic Control, 2017.https://doi.org/10.1016/j.automatica.2017.03.030 .

Bergmiller, Tobias, Anna M Andersson, Kathrin Tomasek, Enrique Balleza, Daniel Kiviet, Robert Hauschild, Gasper Tkadik, and Calin C Guet. “Biased Partitioning of the Multidrug Efflux Pump AcrAB TolC Underlies Long Lived Phenotypic Heterogeneity.”https://doi.org/10.1126/science.aaf4762__Science. American Association for the Advancement of Science, 2017.https://doi.org/10.1126/science.aaf4762 .

Barone, Vanessa, Moritz Lang, Gabriel Krens, Saurabh Pradhan, Shayan Shamipour, Keisuke Sako, Mateusz K Sikora, Calin C Guet, and Carl-Philipp J Heisenberg. “An Effective Feedback Loop between Cell-Cell Contact Duration and Morphogen Signaling Determines Cell Fate.”https://doi.org/10.1016/j.devcel.2017.09.014__Developmental Cell. Cell Press, 2017.https://doi.org/10.1016/j.devcel.2017.09.014 .

Chalk, Matthew J, Olivier Marre, and Gasper Tkadik. “Relevant Sparse Codes with Variational Information Bottleneck,” 29:1965–73. Neural Information Processing Systems, 2016.

Savin, Cristina, and Gasper Tkadik. “Estimating Nonlinear Neural Response Functions Using GP Priors and Kronecker Methods,” 29:3610–18. Neural Information Processing Systems, 2016.