@article{2175,
  abstract     = {The cerebral cortex, the seat of our cognitive abilities, is composed of an intricate network of billions of excitatory projection and inhibitory interneurons. Postmitotic cortical neurons are generated by a diverse set of neural stem cell progenitors within dedicated zones and defined periods of neurogenesis during embryonic development. Disruptions in neurogenesis can lead to alterations in the neuronal cytoarchitecture, which is thought to represent a major underlying cause for several neurological disorders, including microcephaly, autism and epilepsy. Although a number of signaling pathways regulating neurogenesis have been described, the precise cellular and molecular mechanisms regulating the functional neural stem cell properties in cortical neurogenesis remain unclear. Here, we discuss the most up-to-date strategies to monitor the fundamental mechanistic parameters of neuronal progenitor proliferation, and recent advances deciphering the logic and dynamics of neurogenesis.},
  author       = {Postiglione, Maria P and Hippenmeyer, Simon},
  issn         = {1748-6971},
  journal      = {Future Neurology},
  number       = {3},
  pages        = {323 -- 340},
  publisher    = {Future Science Group},
  title        = {{Monitoring neurogenesis in the cerebral cortex: an update}},
  doi          = {10.2217/fnl.14.18},
  volume       = {9},
  year         = {2014},
}

@article{2176,
  abstract     = {Electron microscopy (EM) allows for the simultaneous visualization of all tissue components at high resolution. However, the extent to which conventional aldehyde fixation and ethanol dehydration of the tissue alter the fine structure of cells and organelles, thereby preventing detection of subtle structural changes induced by an experiment, has remained an issue. Attempts have been made to rapidly freeze tissue to preserve native ultrastructure. Shock-freezing of living tissue under high pressure (high-pressure freezing, HPF) followed by cryosubstitution of the tissue water avoids aldehyde fixation and dehydration in ethanol; the tissue water is immobilized in â ̂1/450 ms, and a close-to-native fine structure of cells, organelles and molecules is preserved. Here we describe a protocol for HPF that is useful to monitor ultrastructural changes associated with functional changes at synapses in the brain but can be applied to many other tissues as well. The procedure requires a high-pressure freezer and takes a minimum of 7 d but can be paused at several points.},
  author       = {Studer, Daniel and Zhao, Shanting and Chai, Xuejun and Jonas, Peter M and Graber, Werner and Nestel, Sigrun and Frotscher, Michael},
  journal      = {Nature Protocols},
  number       = {6},
  pages        = {1480 -- 1495},
  publisher    = {Nature Publishing Group},
  title        = {{Capture of activity-induced ultrastructural changes at synapses by high-pressure freezing of brain tissue}},
  doi          = {10.1038/nprot.2014.099},
  volume       = {9},
  year         = {2014},
}

@inproceedings{2177,
  abstract     = {We give evidence for the difficulty of computing Betti numbers of simplicial complexes over a finite field. We do this by reducing the rank computation for sparse matrices with to non-zero entries to computing Betti numbers of simplicial complexes consisting of at most a constant times to simplices. Together with the known reduction in the other direction, this implies that the two problems have the same computational complexity.},
  author       = {Edelsbrunner, Herbert and Parsa, Salman},
  booktitle    = {Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms},
  location     = {Portland, USA},
  pages        = {152 -- 160},
  publisher    = {SIAM},
  title        = {{On the computational complexity of betti numbers reductions from matrix rank}},
  doi          = {10.1137/1.9781611973402.11},
  year         = {2014},
}

@article{2178,
  abstract     = {We consider the three-state toric homogeneous Markov chain model (THMC) without loops and initial parameters. At time T, the size of the design matrix is 6 × 3 · 2T-1 and the convex hull of its columns is the model polytope. We study the behavior of this polytope for T ≥ 3 and we show that it is defined by 24 facets for all T ≥ 5. Moreover, we give a complete description of these facets. From this, we deduce that the toric ideal associated with the design matrix is generated by binomials of degree at most 6. Our proof is based on a result due to Sturmfels, who gave a bound on the degree of the generators of a toric ideal, provided the normality of the corresponding toric variety. In our setting, we established the normality of the toric variety associated to the THMC model by studying the geometric properties of the model polytope.},
  author       = {Haws, David and Martin Del Campo Sanchez, Abraham and Takemura, Akimichi and Yoshida, Ruriko},
  journal      = {Beitrage zur Algebra und Geometrie},
  number       = {1},
  pages        = {161 -- 188},
  publisher    = {Springer},
  title        = {{Markov degree of the three-state toric homogeneous Markov chain model}},
  doi          = {10.1007/s13366-013-0178-y},
  volume       = {55},
  year         = {2014},
}

@article{2179,
  abstract     = {We extend the proof of the local semicircle law for generalized Wigner matrices given in MR3068390 to the case when the matrix of variances has an eigenvalue -1. In particular, this result provides a short proof of the optimal local Marchenko-Pastur law at the hard edge (i.e. around zero) for sample covariance matrices X*X, where the variances of the entries of X may vary.},
  author       = {Ajanki, Oskari H and Erdös, László and Krüger, Torben H},
  journal      = {Electronic Communications in Probability},
  publisher    = {Institute of Mathematical Statistics},
  title        = {{Local semicircle law with imprimitive variance matrix}},
  doi          = {10.1214/ECP.v19-3121},
  volume       = {19},
  year         = {2014},
}

@article{2180,
  abstract     = {Weighted majority votes allow one to combine the output of several classifiers or voters. MinCq is a recent algorithm for optimizing the weight of each voter based on the minimization of a theoretical bound over the risk of the vote with elegant PAC-Bayesian generalization guarantees. However, while it has demonstrated good performance when combining weak classifiers, MinCq cannot make use of the useful a priori knowledge that one may have when using a mixture of weak and strong voters. In this paper, we propose P-MinCq, an extension of MinCq that can incorporate such knowledge in the form of a  constraint over the distribution of the weights, along with general proofs of convergence that stand in the sample compression setting for data-dependent voters. The approach is applied to a vote of k-NN classifiers with a specific modeling of the voters' performance. P-MinCq significantly outperforms the classic k-NN classifier, a symmetric NN and MinCq using the same voters. We show that it is also competitive with LMNN, a popular metric learning algorithm, and that combining both approaches further reduces the error.},
  author       = {Bellet, Aurélien and Habrard, Amaury and Morvant, Emilie and Sebban, Marc},
  journal      = {Machine Learning},
  number       = {1-2},
  pages        = {129 -- 154},
  publisher    = {Springer},
  title        = {{Learning a priori constrained weighted majority votes}},
  doi          = {10.1007/s10994-014-5462-z},
  volume       = {97},
  year         = {2014},
}

@article{2184,
  abstract     = {Given topological spaces X,Y, a fundamental problem of algebraic topology is understanding the structure of all continuous maps X→ Y. We consider a computational version, where X,Y are given as finite simplicial complexes, and the goal is to compute [X,Y], that is, all homotopy classes of suchmaps.We solve this problem in the stable range, where for some d ≥ 2, we have dim X ≤ 2d-2 and Y is (d-1)-connected; in particular, Y can be the d-dimensional sphere Sd. The algorithm combines classical tools and ideas from homotopy theory (obstruction theory, Postnikov systems, and simplicial sets) with algorithmic tools from effective algebraic topology (locally effective simplicial sets and objects with effective homology). In contrast, [X,Y] is known to be uncomputable for general X,Y, since for X = S1 it includes a well known undecidable problem: testing triviality of the fundamental group of Y. In follow-up papers, the algorithm is shown to run in polynomial time for d fixed, and extended to other problems, such as the extension problem, where we are given a subspace A ⊂ X and a map A→ Y and ask whether it extends to a map X → Y, or computing the Z2-index-everything in the stable range. Outside the stable range, the extension problem is undecidable.},
  author       = {Čadek, Martin and Krcál, Marek and Matoušek, Jiří and Sergeraert, Francis and Vokřínek, Lukáš and Wagner, Uli},
  journal      = {Journal of the ACM},
  number       = {3},
  publisher    = {ACM},
  title        = {{Computing all maps into a sphere}},
  doi          = {10.1145/2597629},
  volume       = {61},
  year         = {2014},
}

@inproceedings{2185,
  abstract     = {We revisit the classical problem of converting an imperfect source of randomness into a usable cryptographic key. Assume that we have some cryptographic application P that expects a uniformly random m-bit key R and ensures that the best attack (in some complexity class) against P(R) has success probability at most δ. Our goal is to design a key-derivation function (KDF) h that converts any random source X of min-entropy k into a sufficiently &quot;good&quot; key h(X), guaranteeing that P(h(X)) has comparable security δ′ which is 'close' to δ. Seeded randomness extractors provide a generic way to solve this problem for all applications P, with resulting security δ′ = O(δ), provided that we start with entropy k ≥ m + 2 log (1/δ) - O(1). By a result of Radhakrishnan and Ta-Shma, this bound on k (called the &quot;RT-bound&quot;) is also known to be tight in general. Unfortunately, in many situations the loss of 2 log (1/δ) bits of entropy is unacceptable. This motivates the study KDFs with less entropy waste by placing some restrictions on the source X or the application P. In this work we obtain the following new positive and negative results in this regard: - Efficient samplability of the source X does not help beat the RT-bound for general applications. This resolves the SRT (samplable RT) conjecture of Dachman-Soled et al. [DGKM12] in the affirmative, and also shows that the existence of computationally-secure extractors beating the RT-bound implies the existence of one-way functions. - We continue in the line of work initiated by Barak et al. [BDK+11] and construct new information-theoretic KDFs which beat the RT-bound for large but restricted classes of applications. Specifically, we design efficient KDFs that work for all unpredictability applications P (e.g., signatures, MACs, one-way functions, etc.) and can either: (1) extract all of the entropy k = m with a very modest security loss δ′ = O(δ·log (1/δ)), or alternatively, (2) achieve essentially optimal security δ′ = O(δ) with a very modest entropy loss k ≥ m + loglog (1/δ). In comparison, the best prior results from [BDK+11] for this class of applications would only guarantee δ′ = O(√δ) when k = m, and would need k ≥ m + log (1/δ) to get δ′ = O(δ). - The weaker bounds of [BDK+11] hold for a larger class of so-called &quot;square- friendly&quot; applications (which includes all unpredictability, but also some important indistinguishability, applications). Unfortunately, we show that these weaker bounds are tight for the larger class of applications. - We abstract out a clean, information-theoretic notion of (k,δ,δ′)- unpredictability extractors, which guarantee &quot;induced&quot; security δ′ for any δ-secure unpredictability application P, and characterize the parameters achievable for such unpredictability extractors. Of independent interest, we also relate this notion to the previously-known notion of (min-entropy) condensers, and improve the state-of-the-art parameters for such condensers.},
  author       = {Dodis, Yevgeniy and Pietrzak, Krzysztof Z and Wichs, Daniel},
  editor       = {Nguyen, Phong and Oswald, Elisabeth},
  location     = {Copenhagen, Denmark},
  pages        = {93 -- 110},
  publisher    = {Springer},
  title        = {{Key derivation without entropy waste}},
  doi          = {10.1007/978-3-642-55220-5_6},
  volume       = {8441},
  year         = {2014},
}

@article{2186,
  abstract     = {We prove the existence of scattering states for the defocusing cubic Gross-Pitaevskii (GP) hierarchy in ℝ3. Moreover, we show that an exponential energy growth condition commonly used in the well-posedness theory of the GP hierarchy is, in a specific sense, necessary. In fact, we prove that without the latter, there exist initial data for the focusing cubic GP hierarchy for which instantaneous blowup occurs.},
  author       = {Chen, Thomas and Hainzl, Christian and Pavlović, Nataša and Seiringer, Robert},
  journal      = {Letters in Mathematical Physics},
  number       = {7},
  pages        = {871 -- 891},
  publisher    = {Springer},
  title        = {{On the well-posedness and scattering for the Gross-Pitaevskii hierarchy via quantum de Finetti}},
  doi          = {10.1007/s11005-014-0693-2},
  volume       = {104},
  year         = {2014},
}

@article{2187,
  abstract     = {Systems should not only be correct but also robust in the sense that they behave reasonably in unexpected situations. This article addresses synthesis of robust reactive systems from temporal specifications. Existing methods allow arbitrary behavior if assumptions in the specification are violated. To overcome this, we define two robustness notions, combine them, and show how to enforce them in synthesis. The first notion applies to safety properties: If safety assumptions are violated temporarily, we require that the system recovers to normal operation with as few errors as possible. The second notion requires that, if liveness assumptions are violated, as many guarantees as possible should be fulfilled nevertheless. We present a synthesis procedure achieving this for the important class of GR(1) specifications, and establish complexity bounds. We also present an implementation of a special case of robustness, and show experimental results.},
  author       = {Bloem, Roderick and Chatterjee, Krishnendu and Greimel, Karin and Henzinger, Thomas A and Hofferek, Georg and Jobstmann, Barbara and Könighofer, Bettina and Könighofer, Robert},
  journal      = {Acta Informatica},
  number       = {3-4},
  pages        = {193 -- 220},
  publisher    = {Springer},
  title        = {{Synthesizing robust systems}},
  doi          = {10.1007/s00236-013-0191-5},
  volume       = {51},
  year         = {2014},
}

@article{2188,
  abstract     = {Although plant and animal cells use a similar core mechanism to deliver proteins to the plasma membrane, their different lifestyle, body organization and specific cell structures resulted in the acquisition of regulatory mechanisms that vary in the two kingdoms. In particular, cell polarity regulators do not seem to be conserved, because genes encoding key components are absent in plant genomes. In plants, the broad knowledge on polarity derives from the study of auxin transporters, the PIN-FORMED proteins, in the model plant Arabidopsis thaliana. In animals, much information is provided from the study of polarity in epithelial cells that exhibit basolateral and luminal apical polarities, separated by tight junctions. In this review, we summarize the similarities and differences of the polarization mechanisms between plants and animals and survey the main genetic approaches that have been used to characterize new genes involved in polarity establishment in plants, including the frequently used forward and reverse genetics screens as well as a novel chemical genetics approach that is expected to overcome the limitation of classical genetics methods.},
  author       = {Kania, Urszula and Fendrych, Matyas and Friml, Jiřĺ},
  journal      = {Open Biology},
  number       = {APRIL},
  publisher    = {Royal Society},
  title        = {{Polar delivery in plants; commonalities and differences to animal epithelial cells}},
  doi          = {10.1098/rsob.140017},
  volume       = {4},
  year         = {2014},
}

@inproceedings{2189,
  abstract     = {En apprentissage automatique, nous parlons d'adaptation de domaine lorsque les données de test (cibles) et d'apprentissage (sources) sont générées selon différentes distributions. Nous devons donc développer des algorithmes de classification capables de s'adapter à une nouvelle distribution, pour laquelle aucune information sur les étiquettes n'est disponible. Nous attaquons cette problématique sous l'angle de l'approche PAC-Bayésienne qui se focalise sur l'apprentissage de modèles définis comme des votes de majorité sur un ensemble de fonctions. Dans ce contexte, nous introduisons PV-MinCq une version adaptative de l'algorithme (non adaptatif) MinCq. PV-MinCq suit le principe suivant. Nous transférons les étiquettes sources aux points cibles proches pour ensuite appliquer MinCq sur l'échantillon cible ``auto-étiqueté'' (justifié par une borne théorique). Plus précisément, nous définissons un auto-étiquetage non itératif qui se focalise dans les régions où les distributions marginales source et cible sont les plus similaires. Dans un second temps, nous étudions l'influence de notre auto-étiquetage pour en déduire une procédure de validation des hyperparamètres. Finalement, notre approche montre des résultats empiriques prometteurs.},
  author       = {Morvant, Emilie},
  location     = {Saint-Etienne, France},
  pages        = {49--58},
  publisher    = {Elsevier},
  title        = {{Adaptation de domaine de vote de majorité par auto-étiquetage non itératif}},
  volume       = {1},
  year         = {2014},
}

@inproceedings{2190,
  abstract     = {We present a new algorithm to construct a (generalized) deterministic Rabin automaton for an LTL formula φ. The automaton is the product of a master automaton and an array of slave automata, one for each G-subformula of φ. The slave automaton for G ψ is in charge of recognizing whether FG ψ holds. As opposed to standard determinization procedures, the states of all our automata have a clear logical structure, which allows for various optimizations. Our construction subsumes former algorithms for fragments of LTL. Experimental results show improvement in the sizes of the resulting automata compared to existing methods.},
  author       = {Esparza, Javier and Kretinsky, Jan},
  pages        = {192 -- 208},
  publisher    = {Springer},
  title        = {{From LTL to deterministic automata: A safraless compositional approach}},
  doi          = {10.1007/978-3-319-08867-9_13},
  volume       = {8559},
  year         = {2014},
}

@article{1375,
  abstract     = {We consider directed graphs where each edge is labeled with an integer weight and study the fundamental algorithmic question of computing the value of a cycle with minimum mean weight. Our contributions are twofold: (1) First we show that the algorithmic question is reducible to the problem of a logarithmic number of min-plus matrix multiplications of n×n-matrices, where n is the number of vertices of the graph. (2) Second, when the weights are nonnegative, we present the first (1+ε)-approximation algorithm for the problem and the running time of our algorithm is Õ(nωlog3(nW/ε)/ε),1 where O(nω) is the time required for the classic n×n-matrix multiplication and W is the maximum value of the weights. With an additional O(log(nW/ε)) factor in space a cycle with approximately optimal weight can be computed within the same time bound.},
  author       = {Chatterjee, Krishnendu and Henzinger, Monika H and Krinninger, Sebastian and Loitzenbauer, Veronika and Raskin, Michael},
  journal      = {Theoretical Computer Science},
  number       = {C},
  pages        = {104 -- 116},
  publisher    = {Elsevier},
  title        = {{Approximating the minimum cycle mean}},
  doi          = {10.1016/j.tcs.2014.06.031},
  volume       = {547},
  year         = {2014},
}

@inproceedings{1392,
  abstract     = {Fault-tolerant distributed algorithms play an important role in ensuring the reliability of many software applications. In this paper we consider distributed algorithms whose computations are organized in rounds. To verify the correctness of such algorithms, we reason about (i) properties (such as invariants) of the state, (ii) the transitions controlled by the algorithm, and (iii) the communication graph. We introduce a logic that addresses these points, and contains set comprehensions with cardinality constraints, function symbols to describe the local states of each process, and a limited form of quantifier alternation to express the verification conditions. We show its use in automating the verification of consensus algorithms. In particular, we give a semi-decision procedure for the unsatisfiability problem of the logic and identify a decidable fragment. We successfully applied our framework to verify the correctness of a variety of consensus algorithms tolerant to both benign faults (message loss, process crashes) and value faults (message corruption).},
  author       = {Dragoi, Cezara and Henzinger, Thomas A and Veith, Helmut and Widder, Josef and Zufferey, Damien},
  location     = {San Diego, USA},
  pages        = {161 -- 181},
  publisher    = {Springer},
  title        = {{A logic-based framework for verifying consensus algorithms}},
  doi          = {10.1007/978-3-642-54013-4_10},
  volume       = {8318},
  year         = {2014},
}

@inproceedings{1393,
  abstract     = {Probabilistic programs are usual functional or imperative programs with two added constructs: (1) the ability to draw values at random from distributions, and (2) the ability to condition values of variables in a program via observations. Models from diverse application areas such as computer vision, coding theory, cryptographic protocols, biology and reliability analysis can be written as probabilistic programs. Probabilistic inference is the problem of computing an explicit representation of the probability distribution implicitly specified by a probabilistic program. Depending on the application, the desired output from inference may vary-we may want to estimate the expected value of some function f with respect to the distribution, or the mode of the distribution, or simply a set of samples drawn from the distribution. In this paper, we describe connections this research area called \Probabilistic Programming&quot; has with programming languages and software engineering, and this includes language design, and the static and dynamic analysis of programs. We survey current state of the art and speculate on promising directions for future research.},
  author       = {Gordon, Andrew and Henzinger, Thomas A and Nori, Aditya and Rajamani, Sriram},
  booktitle    = {Proceedings of the on Future of Software Engineering},
  location     = {Hyderabad, India},
  pages        = {167 -- 181},
  publisher    = {ACM},
  title        = {{Probabilistic programming}},
  doi          = {10.1145/2593882.2593900},
  year         = {2014},
}

@inproceedings{1507,
  abstract     = {The Wigner-Dyson-Gaudin-Mehta conjecture asserts that the local eigenvalue statistics of large real and complex Hermitian matrices with independent, identically distributed entries are universal in a sense that they depend only on the symmetry class of the matrix and otherwise are independent of the details of the distribution. We present the recent solution to this half-century old conjecture. We explain how stochastic tools, such as the Dyson Brownian motion, and PDE ideas, such as De Giorgi-Nash-Moser regularity theory, were combined in the solution. We also show related results for log-gases that represent a universal model for strongly correlated systems. Finally, in the spirit of Wigner’s original vision, we discuss the extensions of these universality results to more realistic physical systems such as random band matrices.},
  author       = {Erdös, László},
  booktitle    = {Proceedings of the International Congress of Mathematicians},
  location     = {Seoul, Korea},
  pages        = {214 -- 236},
  publisher    = {International Congress of Mathematicians},
  title        = {{Random matrices, log-gases and Hölder regularity}},
  volume       = {3},
  year         = {2014},
}

@inproceedings{1516,
  abstract     = {We present a rigorous derivation of the BCS gap equation for superfluid fermionic gases with point interactions. Our starting point is the BCS energy functional, whose minimizer we investigate in the limit when the range of the interaction potential goes to zero.
},
  author       = {Bräunlich, Gerhard and Hainzl, Christian and Seiringer, Robert},
  booktitle    = {Proceedings of the QMath12 Conference},
  location     = {Berlin, Germany},
  pages        = {127 -- 137},
  publisher    = {World Scientific Publishing},
  title        = {{On the BCS gap equation for superfluid fermionic gases}},
  doi          = {10.1142/9789814618144_0007},
  year         = {2014},
}

@article{1629,
  abstract     = {We propose a method for propagating edit operations in 2D vector graphics, based on geometric relationship functions. These functions quantify the geometric relationship of a point to a polygon, such as the distance to the boundary or the direction to the closest corner vertex. The level sets of the relationship functions describe points with the same relationship to a polygon. For a given query point, we first determine a set of relationships to local features, construct all level sets for these relationships, and accumulate them. The maxima of the resulting distribution are points with similar geometric relationships. We show extensions to handle mirror symmetries, and discuss the use of relationship functions as local coordinate systems. Our method can be applied, for example, to interactive floorplan editing, and it is especially useful for large layouts, where individual edits would be cumbersome. We demonstrate populating 2D layouts with tens to hundreds of objects by propagating relatively few edit operations.},
  author       = {Guerrero, Paul and Jeschke, Stefan and Wimmer, Michael and Wonka, Peter},
  journal      = {ACM Transactions on Graphics},
  number       = {2},
  publisher    = {ACM},
  title        = {{Edit propagation using geometric relationship functions}},
  doi          = {10.1145/2591010},
  volume       = {33},
  year         = {2014},
}

@inproceedings{1643,
  abstract     = {We extend the notion of verifiable random functions (VRF) to constrained VRFs, which generalize the concept of constrained pseudorandom functions, put forward by Boneh and Waters (Asiacrypt’13), and independently by Kiayias et al. (CCS’13) and Boyle et al. (PKC’14), who call them delegatable PRFs and functional PRFs, respectively. In a standard VRF the secret key sk allows one to evaluate a pseudorandom function at any point of its domain; in addition, it enables computation of a non-interactive proof that the function value was computed correctly. In a constrained VRF from the key sk one can derive constrained keys skS for subsets S of the domain, which allow computation of function values and proofs only at points in S. After formally defining constrained VRFs, we derive instantiations from the multilinear-maps-based constrained PRFs by Boneh and Waters, yielding a VRF with constrained keys for any set that can be decided by a polynomial-size circuit. Our VRFs have the same function values as the Boneh-Waters PRFs and are proved secure under the same hardness assumption, showing that verifiability comes at no cost. Constrained (functional) VRFs were stated as an open problem by Boyle et al.},
  author       = {Fuchsbauer, Georg},
  booktitle    = {SCN 2014},
  editor       = {Abdalla, Michel and De Prisco, Roberto},
  location     = {Amalfi, Italy},
  pages        = {95 -- 114},
  publisher    = {Springer},
  title        = {{Constrained Verifiable Random Functions }},
  doi          = {10.1007/978-3-319-10879-7_7},
  volume       = {8642},
  year         = {2014},
}

