@inproceedings{1097,
  abstract     = {We present an interactive system for computational design, optimization, and fabrication of multicopters. Our computational approach allows non-experts to design, explore, and evaluate a wide range of different multicopters. We provide users with an intuitive interface for assembling a multicopter from a collection of components (e.g., propellers, motors, and carbon fiber rods). Our algorithm interactively optimizes shape and controller parameters of the current design to ensure its proper operation. In addition, we allow incorporating a variety of other metrics (such as payload, battery usage, size, and cost) into the design process and exploring tradeoffs between them. We show the efficacy of our method and system by designing, optimizing, fabricating, and operating multicopters with complex geometries and propeller configurations. We also demonstrate the ability of our optimization algorithm to improve the multicopter performance under different metrics.},
  author       = {Du, Tao and Schulz, Adriana and Zhu, Bo and Bickel, Bernd and Matusik, Wojciech},
  location     = {Macao, China},
  number       = {6},
  publisher    = {ACM},
  title        = {{Computational multicopter design}},
  doi          = {10.1145/2980179.2982427},
  volume       = {35},
  year         = {2016},
}

@inproceedings{1098,
  abstract     = {Better understanding of the potential benefits of information transfer and representation learning is an important step towards the goal of building intelligent systems that are able to persist in the world and learn over time. In this work, we consider a setting where the learner encounters a stream of tasks but is able to retain only limited information from each encountered task, such as a learned predictor. In contrast to most previous works analyzing this scenario, we do not make any distributional assumptions on the task generating process. Instead, we formulate a complexity measure that captures the diversity of the observed tasks. We provide a lifelong learning algorithm with error guarantees for every observed task (rather than on average). We show sample complexity reductions in comparison to solving every task in isolation in terms of our task complexity measure. Further, our algorithmic framework can naturally be viewed as learning a representation from encountered tasks with a neural network.},
  author       = {Pentina, Anastasia and Urner, Ruth},
  location     = {Barcelona, Spain},
  pages        = {3619--3627},
  publisher    = {Neural Information Processing Systems},
  title        = {{Lifelong learning with weighted majority votes}},
  volume       = {29},
  year         = {2016},
}

@inproceedings{1099,
  abstract     = {We present FlexMolds, a novel computational approach to automatically design flexible, reusable molds that, once 3D printed, allow us to physically fabricate, by means of liquid casting, multiple copies of complex shapes with rich surface details and complex topology. The approach to design such flexible molds is based on a greedy bottom-up search of possible cuts over an object, evaluating for each possible cut the feasibility of the resulting mold. We use a dynamic simulation approach to evaluate candidate molds, providing a heuristic to generate forces that are able to open, detach, and remove a complex mold from the object it surrounds. We have tested the approach with a number of objects with nontrivial shapes and topologies.},
  author       = {Malomo, Luigi and Pietroni, Nico and Bickel, Bernd and Cignoni, Paolo},
  location     = {Macao, China},
  number       = {6},
  publisher    = {ACM},
  title        = {{FlexMolds: Automatic design of flexible shells for molding}},
  doi          = {10.1145/2980179.2982397},
  volume       = {35},
  year         = {2016},
}

@article{1100,
  abstract     = {During metazoan development, the temporal pattern of morphogen signaling is critical for organizing cell fates in space and time. Yet, tools for temporally controlling morphogen signaling within the embryo are still scarce. Here, we developed a photoactivatable Nodal receptor to determine how the temporal pattern of Nodal signaling affects cell fate specification during zebrafish gastrulation. By using this receptor to manipulate the duration of Nodal signaling in vivo by light, we show that extended Nodal signaling within the organizer promotes prechordal plate specification and suppresses endoderm differentiation. Endoderm differentiation is suppressed by extended Nodal signaling inducing expression of the transcriptional repressor goosecoid (gsc) in prechordal plate progenitors, which in turn restrains Nodal signaling from upregulating the endoderm differentiation gene sox17 within these cells. Thus, optogenetic manipulation of Nodal signaling identifies a critical role of Nodal signaling duration for organizer cell fate specification during gastrulation.},
  author       = {Sako, Keisuke and Pradhan, Saurabh and Barone, Vanessa and Inglés Prieto, Álvaro and Mueller, Patrick and Ruprecht, Verena and Capek, Daniel and Galande, Sanjeev and Janovjak, Harald L and Heisenberg, Carl-Philipp J},
  journal      = {Cell Reports},
  number       = {3},
  pages        = {866 -- 877},
  publisher    = {Cell Press},
  title        = {{Optogenetic control of nodal signaling reveals a temporal pattern of nodal signaling regulating cell fate specification during gastrulation}},
  doi          = {10.1016/j.celrep.2016.06.036},
  volume       = {16},
  year         = {2016},
}

@article{1101,
  abstract     = {Optical sensors based on the phenomenon of Förster resonance energy transfer (FRET) are powerful tools that have advanced the study of small molecules in biological systems. However, sensor construction is not trivial and often requires multiple rounds of engineering or an ability to screen large numbers of variants. A method that would allow the accurate rational design of FRET sensors would expedite the production of biologically useful sensors. Here, we present Rangefinder, a computational algorithm that allows rapid in silico screening of dye attachment sites in a ligand-binding protein for the conjugation of a dye molecule to act as a Förster acceptor for a fused fluorescent protein. We present three ratiometric fluorescent sensors designed with Rangefinder, including a maltose sensor with a dynamic range of &gt;300% and the first sensors for the most abundant sialic acid in human cells, N-acetylneuraminic acid. Provided a ligand-binding protein exists, it is our expectation that this model will facilitate the design of an optical sensor for any small molecule of interest.},
  author       = {Mitchell, Joshua and Whitfield, Jason and Zhang, William and Henneberger, Christian and Janovjak, Harald L and O'Mara, Megan and Jackson, Colin},
  journal      = {ACS SENSORS},
  number       = {11},
  pages        = {1286 -- 1290},
  publisher    = {American Chemical Society},
  title        = {{Rangefinder: A semisynthetic FRET sensor design algorithm}},
  doi          = {10.1021/acssensors.6b00576},
  volume       = {1},
  year         = {2016},
}

@inproceedings{1102,
  abstract     = {Weakly-supervised object localization methods tend to fail for object classes that consistently co-occur with the same background elements, e.g. trains on tracks. We propose a method to overcome these failures by adding a very small amount of model-specific additional annotation. The main idea is to cluster a deep network\'s mid-level representations and assign object or distractor labels to each cluster. Experiments show substantially improved localization results on the challenging ILSVC2014 dataset for bounding box detection and the PASCAL VOC2012 dataset for semantic segmentation.},
  author       = {Kolesnikov, Alexander and Lampert, Christoph},
  booktitle    = {Proceedings of the British Machine Vision Conference 2016},
  location     = {York, United Kingdom},
  pages        = {92.1--92.12},
  publisher    = {BMVA Press},
  title        = {{Improving weakly-supervised object localization by micro-annotation}},
  doi          = {10.5244/C.30.92},
  volume       = {2016-September},
  year         = {2016},
}

@inproceedings{1103,
  abstract     = {We propose two parallel state-space-exploration algorithms for hybrid automaton (HA), with the goal of enhancing performance on multi-core shared-memory systems. The first uses the parallel, breadth-first-search algorithm (PBFS) of the SPIN model checker, when traversing the discrete modes of the HA, and enhances it with a parallel exploration of the continuous states within each mode. We show that this simple-minded extension of PBFS does not provide the desired load balancing in many HA benchmarks. The second algorithm is a task-parallel BFS algorithm (TP-BFS), which uses a cheap precomputation of the cost associated with the post operations (both continuous and discrete) in order to improve load balancing. We illustrate the TP-BFS and the cost precomputation of the post operators on a support-function-based algorithm for state-space exploration. The performance comparison of the two algorithms shows that, in general, TP-BFS provides a better utilization/load-balancing of the CPU. Both algorithms are implemented in the model checker XSpeed. Our experiments show a maximum speed-up of more than 2000 χ on a navigation benchmark, with respect to SpaceEx LGG scenario. In order to make the comparison fair, we employed an equal number of post operations in both tools. To the best of our knowledge, this paper represents the first attempt to provide parallel, reachability-analysis algorithms for HA.},
  author       = {Gurung, Amit and Deka, Arup and Bartocci, Ezio and Bogomolov, Sergiy and Grosu, Radu and Ray, Rajarshi},
  location     = {Kanpur, India },
  publisher    = {IEEE},
  title        = {{Parallel reachability analysis for hybrid systems}},
  doi          = {10.1109/MEMCOD.2016.7797741},
  year         = {2016},
}

@inproceedings{1105,
  abstract     = {Jointly characterizing neural responses in terms of several external variables promises novel insights into circuit function, but remains computationally prohibitive in practice. Here we use gaussian process (GP) priors and exploit recent advances in fast GP inference and learning based on Kronecker methods, to efficiently estimate multidimensional nonlinear tuning functions. Our estimator require considerably less data than traditional methods and further provides principled uncertainty estimates. We apply these tools to hippocampal recordings during open field exploration and use them to characterize the joint dependence of CA1 responses on the position of the animal and several other variables, including the animal\'s speed, direction of motion, and network oscillations.Our results provide an unprecedentedly detailed quantification of the tuning of hippocampal neurons. The model\'s generality suggests that our approach can be used to estimate neural response properties in other brain regions.},
  author       = {Savin, Cristina and Tkacik, Gasper},
  location     = {Barcelona; Spain},
  pages        = {3610--3618},
  publisher    = {Neural Information Processing Systems},
  title        = {{Estimating nonlinear neural response functions using GP priors and Kronecker methods}},
  volume       = {29},
  year         = {2016},
}

@article{11069,
  abstract     = {Repeated rounds of nuclear envelope (NE) rupture and repair have been observed in laminopathy and cancer cells and result in intermittent loss of nucleus compartmentalization. Currently, the causes of NE rupture are unclear. Here, we show that NE rupture in cancer cells relies on the assembly of contractile actin bundles that interact with the nucleus via the linker of nucleoskeleton and cytoskeleton (LINC) complex. We found that the loss of actin bundles or the LINC complex did not rescue nuclear lamina defects, a previously identified determinant of nuclear membrane stability, but did decrease the number and size of chromatin hernias. Finally, NE rupture inhibition could be rescued in cells treated with actin-depolymerizing drugs by mechanically constraining nucleus height. These data suggest a model of NE rupture where weak membrane areas, caused by defects in lamina organization, rupture because of an increase in intranuclear pressure from actin-based nucleus confinement.},
  author       = {Hatch, Emily M. and HETZER, Martin W},
  issn         = {0021-9525},
  journal      = {Journal of Cell Biology},
  keywords     = {Cell Biology},
  number       = {1},
  pages        = {27--36},
  publisher    = {Rockefeller University Press},
  title        = {{Nuclear envelope rupture is induced by actin-based nucleus confinement}},
  doi          = {10.1083/jcb.201603053},
  volume       = {215},
  year         = {2016},
}

@article{11070,
  abstract     = {The organization of the genome in the three-dimensional space of the nucleus is coupled with cell type-specific gene expression. However, how nuclear architecture influences transcription that governs cell identity remains unknown. Here, we show that nuclear pore complex (NPC) components Nup93 and Nup153 bind superenhancers (SE), regulatory structures that drive the expression of key genes that specify cell identity. We found that nucleoporin-associated SEs localize preferentially to the nuclear periphery, and absence of Nup153 and Nup93 results in dramatic transcriptional changes of SE-associated genes. Our results reveal a crucial role of NPC components in the regulation of cell type-specifying genes and highlight nuclear architecture as a regulatory layer of genome functions in cell fate.},
  author       = {Ibarra, Arkaitz and Benner, Chris and Tyagi, Swati and Cool, Jonah and HETZER, Martin W},
  issn         = {1549-5477},
  journal      = {Genes & Development},
  keywords     = {Developmental Biology, Genetics},
  number       = {20},
  pages        = {2253--2258},
  publisher    = {Cold Spring Harbor Laboratory},
  title        = {{Nucleoporin-mediated regulation of cell identity genes}},
  doi          = {10.1101/gad.287417.116},
  volume       = {30},
  year         = {2016},
}

@article{11071,
  abstract     = {Nuclear pore complexes (NPCs) emerged as nuclear transport channels in eukaryotic cells ∼1.5 billion years ago. While the primary role of NPCs is to regulate nucleo–cytoplasmic transport, recent research suggests that certain NPC proteins have additionally acquired the role of affecting gene expression at the nuclear periphery and in the nucleoplasm in metazoans. Here we identify a widely expressed variant of the transmembrane nucleoporin (Nup) Pom121 (named sPom121, for “soluble Pom121”) that arose by genomic rearrangement before the divergence of hominoids. sPom121 lacks the nuclear membrane-anchoring domain and thus does not localize to the NPC. Instead, sPom121 colocalizes and interacts with nucleoplasmic Nup98, a previously identified transcriptional regulator, at gene promoters to control transcription of its target genes in human cells. Interestingly, sPom121 transcripts appear independently in several mammalian species, suggesting convergent innovation of Nup-mediated transcription regulation during mammalian evolution. Our findings implicate alternate transcription initiation as a mechanism to increase the functional diversity of NPC components.},
  author       = {Franks, Tobias M. and Benner, Chris and Narvaiza, Iñigo and Marchetto, Maria C.N. and Young, Janet M. and Malik, Harmit S. and Gage, Fred H. and HETZER, Martin W},
  issn         = {1549-5477},
  journal      = {Genes & Development},
  keywords     = {Developmental Biology, Genetics},
  number       = {10},
  pages        = {1155--1171},
  publisher    = {Cold Spring Harbor Laboratory},
  title        = {{Evolution of a transcriptional regulator from a transmembrane nucleoporin}},
  doi          = {10.1101/gad.280941.116},
  volume       = {30},
  year         = {2016},
}

@article{11072,
  abstract     = {Spatiotemporal activation of RhoA and actomyosin contraction underpins cellular adhesion and division. Loss of cell–cell adhesion and chromosomal instability are cardinal events that drive tumour progression. Here, we show that p120-catenin (p120) not only controls cell–cell adhesion, but also acts as a critical regulator of cytokinesis. We find that p120 regulates actomyosin contractility through concomitant binding to RhoA and the centralspindlin component MKLP1, independent of cadherin association. In anaphase, p120 is enriched at the cleavage furrow where it binds MKLP1 to spatially control RhoA GTPase cycling. Binding of p120 to MKLP1 during cytokinesis depends on the N-terminal coiled-coil domain of p120 isoform 1A. Importantly, clinical data show that loss of p120 expression is a common event in breast cancer that strongly correlates with multinucleation and adverse patient survival. In summary, our study identifies p120 loss as a driver event of chromosomal instability in cancer.
},
  author       = {van de Ven, Robert A.H. and de Groot, Jolien S. and Park, Danielle and van Domselaar, Robert and de Jong, Danielle and Szuhai, Karoly and van der Wall, Elsken and Rueda, Oscar M. and Ali, H. Raza and Caldas, Carlos and van Diest, Paul J. and HETZER, Martin W and Sahai, Erik and Derksen, Patrick W.B.},
  issn         = {2041-1723},
  journal      = {Nature Communications},
  keywords     = {General Physics and Astronomy, General Biochemistry, Genetics and Molecular Biology, General Chemistry},
  publisher    = {Springer Nature},
  title        = {{p120-catenin prevents multinucleation through control of MKLP1-dependent RhoA activity during cytokinesis}},
  doi          = {10.1038/ncomms13874},
  volume       = {7},
  year         = {2016},
}

@inproceedings{1115,
  abstract     = {We present a coherent microwave to telecom signal converter based on the electro-optical effect using a crystalline WGM-resonator coupled to a 3D microwave cavity, achieving high photon conversion efficiency of 0.1% with MHz bandwidth.},
  author       = {Rueda, Alfredo and Sedlmeir, Florian and Collodo, Michele and Vogl, Ulrich and Stiller, Birgit and Schunk, Georg and Strekalov, Dimitry and Marquardt, Christoph and Fink, Johannes M and Painter, Oskar and Leuchs, Gerd and Schwefel, Harald},
  location     = {San Jose, CA, USA},
  publisher    = {IEEE},
  title        = {{Efficient single sideband microwave to optical conversion using a LiNbO₃ WGM-resonator}},
  doi          = {10.1364/CLEO_SI.2016.SF2G.3},
  year         = {2016},
}

@phdthesis{1121,
  abstract     = {Horizontal gene transfer (HGT), the lateral acquisition of genes across existing species
boundaries, is a major evolutionary force shaping microbial genomes that facilitates
adaptation to new environments as well as resistance to antimicrobial drugs. As such,
understanding the mechanisms and constraints that determine the outcomes of HGT
events is crucial to understand the dynamics of HGT and to design better strategies to
overcome the challenges that originate from it.
Following the insertion and expression of a newly transferred gene, the success of an
HGT event will depend on the fitness effect it has on the recipient (host) cell. Therefore,
predicting the impact of HGT on the genetic composition of a population critically
depends on the distribution of fitness effects (DFE) of horizontally transferred genes.
However, to date, we have little knowledge of the DFE of newly transferred genes, and
hence little is known about the shape and scale of this distribution.
It is particularly important to better understand the selective barriers that determine
the fitness effects of newly transferred genes. In spite of substantial bioinformatics
efforts to identify horizontally transferred genes and selective barriers, a systematic
experimental approach to elucidate the roles of different selective barriers in defining
the fate of a transfer event has largely been absent. Similarly, although the fact that
environment might alter the fitness effect of a horizontally transferred gene may seem
obvious, little attention has been given to it in a systematic experimental manner.
In this study, we developed a systematic experimental approach that consists of
transferring 44 arbitrarily selected Salmonella typhimurium orthologous genes into an
Escherichia coli host, and estimating the fitness effects of these transferred genes at a
constant expression level by performing competition assays against the wild type.
In chapter 2, we performed one-to-one competition assays between a mutant strain
carrying a transferred gene and the wild type strain. By using flow cytometry we
estimated selection coefficients for the transferred genes with a precision level of 10-3,and obtained the DFE of horizontally transferred genes. We then investigated if these
fitness effects could be predicted by any of the intrinsic properties of the genes, namely,
functional category, degree of complexity (protein-protein interactions), GC content,
codon usage and length. Our analyses revealed that the functional category and length
of the genes act as potential selective barriers. Finally, using the same procedure with
the endogenous E. coli orthologs of these 44 genes, we demonstrated that gene dosage is
the most prominent selective barrier to HGT.
In chapter 3, using the same set of genes we investigated the role of environment on the
success of HGT events. Under six different environments with different levels of stress
we performed more complex competition assays, where we mixed all 44 mutant strains
carrying transferred genes with the wild type strain. To estimate the fitness effects of
genes relative to wild type we used next generation sequencing. We found that the DFEs
of horizontally transferred genes are highly dependent on the environment, with
abundant gene–by-environment interactions. Furthermore, we demonstrated a
relationship between average fitness effect of a gene across all environments and its
environmental variance, and thus its predictability. Finally, in spite of the fitness effects
of genes being highly environment-dependent, we still observed a common shape of
DFEs across all tested environments.},
  author       = {Acar, Hande},
  issn         = {2663-337X},
  pages        = {75},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Selective barriers to horizontal gene transfer}},
  year         = {2016},
}

@phdthesis{1122,
  abstract     = {Computer graphics is an extremely exciting field for two reasons. On the one hand,
there is a healthy injection of pragmatism coming from the visual effects industry
that want robust algorithms that work so they can produce results at an increasingly
frantic pace. On the other hand, they must always try to push the envelope and
achieve the impossible to wow their audiences in the next blockbuster, which means
that the industry has not succumb to conservatism, and there is plenty of room to
try out new and crazy ideas if there is a chance that it will pan into something
useful.
Water simulation has been in visual effects for decades, however it still remains
extremely challenging because of its high computational cost and difficult artdirectability.
The work in this thesis tries to address some of these difficulties.
Specifically, we make the following three novel contributions to the state-of-the-art
in water simulation for visual effects.
First, we develop the first algorithm that can convert any sequence of closed
surfaces in time into a moving triangle mesh. State-of-the-art methods at the time
could only handle surfaces with fixed connectivity, but we are the first to be able to
handle surfaces that merge and split apart. This is important for water simulation
practitioners, because it allows them to convert splashy water surfaces extracted
from particles or simulated using grid-based level sets into triangle meshes that can
be either textured and enhanced with extra surface dynamics as a post-process.
We also apply our algorithm to other phenomena that merge and split apart, such
as morphs and noisy reconstructions of human performances.
Second, we formulate a surface-based energy that measures the deviation of a
water surface froma physically valid state. Such discrepancies arise when there is a
mismatch in the degrees of freedom between the water surface and the underlying
physics solver. This commonly happens when practitioners use a moving triangle
mesh with a grid-based physics solver, or when high-resolution grid-based surfaces
are combined with low-resolution physics. Following the direction of steepest
descent on our surface-based energy, we can either smooth these artifacts or turn
them into high-resolution waves by interpreting the energy as a physical potential.
Third, we extend state-of-the-art techniques in non-reflecting boundaries to handle spatially and time-varying background flows. This allows a novel new
workflow where practitioners can re-simulate part of an existing simulation, such
as removing a solid obstacle, adding a new splash or locally changing the resolution.
Such changes can easily lead to new waves in the re-simulated region that would
reflect off of the new simulation boundary, effectively ruining the illusion of a
seamless simulation boundary between the existing and new simulations. Our
non-reflecting boundaries makes sure that such waves are absorbed.},
  author       = {Bojsen-Hansen, Morten},
  issn         = {2663-337X},
  pages        = {114},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Tracking, correcting and absorbing water surface waves}},
  doi          = {10.15479/AT:ISTA:th_640},
  year         = {2016},
}

@phdthesis{1123,
  abstract     = {Motivated by topological Tverberg-type problems  in topological combinatorics and by classical
results about embeddings (maps without double points), we study the question whether a finite
simplicial complex K  can be mapped into Rd  without triple, quadruple, or, more generally, r-fold points  (image points with at least r  distinct preimages), for a given multiplicity r ≤ 2. In particular, we are interested in maps f : K → Rd  that have no global r -fold intersection points, i.e., no r -fold points with preimages in r pairwise disjoint  simplices of K , and we seek necessary and sufficient conditions for the existence of such maps.

We present higher-multiplicity analogues of several classical results for embeddings, in particular of the completeness of the Van Kampen obstruction  for embeddability of k -dimensional
complexes into R2k , k ≥ 3. Speciffically, we show that under suitable restrictions on the dimensions(viz., if dimK  = (r ≥ 1)k  and d  = rk \ for some k ≥ 3), a well-known deleted product criterion (DPC ) is not only necessary but also sufficient for the existence of maps without global r -fold points. Our main technical tool is a higher-multiplicity version of the classical Whitney trick , by which pairs of isolated r -fold points of opposite sign  can be eliminated by local modiffications of the map, assuming codimension d – dimK ≥ 3.

An important guiding idea for our work was that suffciency of the DPC, together with an old
result of Özaydin's on the existence of equivariant maps, might yield an approach to disproving the remaining open cases of the the long-standing topological Tverberg conjecture , i.e., to construct maps from the N -simplex σN  to Rd  without r-Tverberg points when r not a prime power  and
N  = (d  + 1)(r – 1). Unfortunately, our proof of the sufficiency of the DPC requires codimension d – dimK ≥ 3, which is not satisfied for K  = σN .

In 2015, Frick [16] found a very elegant way to overcome this \codimension 3 obstacle&quot; and
to construct the first counterexamples to the topological Tverberg conjecture for all parameters(d; r ) with d ≥ 3r  + 1 and r  not a prime power, by a reduction1  to a suitable lower-dimensional skeleton, for which the codimension 3 restriction is satisfied and maps without r -Tverberg points exist by Özaydin's result and sufficiency of the DPC.

In this thesis, we present a different construction (which does not use the constraint method) that yields counterexamples for d ≥ 3r , r  not a prime power.     },
  author       = {Mabillard, Isaac},
  issn         = {2663-337X},
  pages        = {55},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Eliminating higher-multiplicity intersections: an r-fold Whitney trick for the topological Tverberg conjecture}},
  year         = {2016},
}

@phdthesis{1124,
  author       = {Morri, Maurizio},
  issn         = {2663-337X},
  pages        = {129},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Optical functionalization of human class A orphan G-protein coupled receptors}},
  year         = {2016},
}

@phdthesis{1125,
  abstract     = {Natural environments are never constant but subject to spatial and temporal change on
all scales, increasingly so due to human activity. Hence, it is crucial to understand the
impact of environmental variation on evolutionary processes. In this thesis, I present
three topics that share the common theme of environmental variation, yet illustrate its
effect from different perspectives.
First, I show how a temporally fluctuating environment gives rise to second-order
selection on a modifier for stress-induced mutagenesis. Without fluctuations, when
populations are adapted to their environment, mutation rates are minimized. I argue
that a stress-induced mutator mechanism may only be maintained if the population is
repeatedly subjected to diverse environmental challenges, and I outline implications of
the presented results to antibiotic treatment strategies.
Second, I discuss my work on the evolution of dispersal. Besides reproducing
known results about the effect of heterogeneous habitats on dispersal, it identifies
spatial changes in dispersal type frequencies as a source for selection for increased
propensities to disperse. This concept contains effects of relatedness that are known
to promote dispersal, and I explain how it identifies other forces selecting for dispersal
and puts them on a common scale.
Third, I analyse genetic variances of phenotypic traits under multivariate stabilizing
selection. For the case of constant environments, I generalize known formulae of
equilibrium variances to multiple traits and discuss how the genetic variance of a focal
trait is influenced by selection on background traits. I conclude by presenting ideas and
preliminary work aiming at including environmental fluctuations in the form of moving
trait optima into the model.},
  author       = {Novak, Sebastian},
  issn         = {2663-337X},
  pages        = {124},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Evolutionary proccesses in variable emvironments}},
  year         = {2016},
}

@phdthesis{1126,
  abstract     = {Traditionally machine learning has been focusing on the problem of solving a single
task in isolation. While being quite well understood, this approach disregards an
important aspect of human learning: when facing a new problem, humans are able to
exploit knowledge acquired from previously learned tasks. Intuitively, access to several
problems simultaneously or sequentially could also be advantageous for a machine
learning system, especially if these tasks are closely related. Indeed, results of many
empirical studies have provided justification for this intuition. However, theoretical
justifications of this idea are rather limited.
The focus of this thesis is to expand the understanding of potential benefits of information
transfer between several related learning problems. We provide theoretical
analysis for three scenarios of multi-task learning - multiple kernel learning, sequential
learning and active task selection. We also provide a PAC-Bayesian perspective on
lifelong learning and investigate how the task generation process influences the generalization
guarantees in this scenario. In addition, we show how some of the obtained
theoretical results can be used to derive principled multi-task and lifelong learning
algorithms and illustrate their performance on various synthetic and real-world datasets.},
  author       = {Pentina, Anastasia},
  issn         = {2663-337X},
  pages        = {127},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Theoretical foundations of multi-task lifelong learning}},
  doi          = {10.15479/AT:ISTA:TH_776},
  year         = {2016},
}

@phdthesis{1128,
  abstract     = {The process of gene expression is central to the modern understanding of how cellular systems
function. In this process, a special kind of regulatory proteins, called transcription factors,
are important to determine how much protein is produced from a given gene. As biological
information is transmitted from transcription factor concentration to mRNA levels to amounts of
protein, various sources of noise arise and pose limits to the fidelity of intracellular signaling.
This thesis concerns itself with several aspects of stochastic gene expression: (i) the mathematical
description of complex promoters responsible for the stochastic production of biomolecules,
(ii) fundamental limits to information processing the cell faces due to the interference from multiple
fluctuating signals, (iii) how the presence of gene expression noise influences the evolution
of regulatory sequences, (iv) and tools for the experimental study of origins and consequences
of cell-cell heterogeneity, including an application to bacterial stress response systems.},
  author       = {Rieckh, Georg},
  issn         = {2663-337X},
  pages        = {114},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Studying the complexities of transcriptional regulation}},
  year         = {2016},
}

