@misc{8809,
  abstract     = {When divergent populations are connected by gene flow, the establishment of complete reproductive isolation usually requires the joint action of multiple barrier effects. One example where multiple barrier effects are coupled consists of a single trait that is under divergent natural selection and also mediates assortative mating. Such multiple-effect traits can strongly reduce gene flow. However, there are few cases where patterns of assortative mating have been described quantitatively and their impact on gene flow has been determined. Two ecotypes of the coastal marine snail, Littorina saxatilis, occur in North Atlantic rocky-shore habitats dominated by either crab predation or wave action. There is evidence for divergent natural selection acting on size, and size-assortative mating has previously been documented. Here, we analyze the mating pattern in L. saxatilis with respect to size in intensively-sampled transects across boundaries between the habitats. We show that the mating pattern is mostly conserved between ecotypes and that it generates both assortment and directional sexual selection for small male size. Using simulations, we show that the mating pattern can contribute to reproductive isolation between ecotypes but the barrier to gene flow is likely strengthened more by sexual selection than by assortment.},
  author       = {Perini, Samuel and Rafajlovic, Marina and Westram, Anja M and Johannesson, Kerstin and Butlin, Roger},
  publisher    = {Dryad},
  title        = {{Data from: Assortative mating, sexual selection and their consequences for gene flow in Littorina}},
  doi          = {10.5061/dryad.qrfj6q5cn},
  year         = {2020},
}

@unpublished{8813,
  abstract     = {In mammals, chromatin marks at imprinted genes are asymmetrically inherited to control parentally-biased gene expression. This control is thought predominantly to involve parent-specific differentially methylated regions (DMR) in genomic DNA. However, neither parent-of-origin-specific transcription nor DMRs have been comprehensively mapped. We here address this by integrating transcriptomic and epigenomic approaches in mouse preimplantation embryos (blastocysts). Transcriptome-analysis identified 71 genes expressed with previously unknown parent-of-origin-specific expression in blastocysts (nBiX: novel blastocyst-imprinted expression). Uniparental expression of nBiX genes disappeared soon after implantation. Micro-whole-genome bisulfite sequencing (μWGBS) of individual uniparental blastocysts detected 859 DMRs. Only 18% of nBiXs were associated with a DMR, whereas 60% were associated with parentally-biased H3K27me3. This suggests a major role for Polycomb-mediated imprinting in blastocysts. Five nBiX-clusters contained at least one known imprinted gene, and five novel clusters contained exclusively nBiX-genes. These data suggest a complex program of stage-specific imprinting involving different tiers of regulation.},
  author       = {Santini, Laura and Halbritter, Florian and Titz-Teixeira, Fabian and Suzuki, Toru and Asami, Maki and Ramesmayer, Julia and Ma, Xiaoyan and Lackner, Andreas and Warr, Nick and Pauler, Florian and Hippenmeyer, Simon and Laue, Ernest and Farlik, Matthias and Bock, Christoph and Beyer, Andreas and Perry, Anthony C. F. and Leeb, Martin},
  booktitle    = {bioRxiv},
  publisher    = {Cold Spring Harbor Laboratory},
  title        = {{Novel imprints in mouse blastocysts are predominantly DNA methylation independent}},
  doi          = {10.1101/2020.11.03.366948},
  year         = {2020},
}

@misc{8834,
  abstract     = {This data collection contains the transport data for figures presented in the supplementary material of "Enhancement of Proximity Induced Superconductivity in Planar Germanium" by K. Aggarwal, et. al. 
The measurements were done using Labber Software and the data is stored in the hdf5 file format. The files can be opened using either the Labber Log Browser (https://labber.org/overview/) or Labber Python API (http://labber.org/online-doc/api/LogFile.html).
},
  author       = {Katsaros, Georgios},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Enhancement of proximity induced superconductivity in planar Germanium}},
  doi          = {10.15479/AT:ISTA:8834},
  year         = {2020},
}

@article{8914,
  abstract     = {Amyotrophic lateral sclerosis (ALS) leads to a loss of specific motor neuron populations in the spinal cord and cortex. Emerging evidence suggests that interneurons may also be affected, but a detailed characterization of interneuron loss and its potential impacts on motor neuron loss and disease progression is lacking. To examine this issue, the fate of V1 inhibitory neurons during ALS was assessed in the ventral spinal cord using the SODG93A mouse model. The V1 population makes up ∼30% of all ventral inhibitory neurons, ∼50% of direct inhibitory synaptic contacts onto motor neuron cell bodies, and is thought to play a key role in modulating motor output, in part through recurrent and reciprocal inhibitory circuits. We find that approximately half of V1 inhibitory neurons are lost in SODG93A mice at late disease stages, but that this loss is delayed relative to the loss of motor neurons and V2a excitatory neurons. We further identify V1 subpopulations based on transcription factor expression that are differentially susceptible to degeneration in SODG93A mice. At an early disease stage, we show that V1 synaptic contacts with motor neuron cell bodies increase, suggesting an upregulation of inhibition before V1 neurons are lost in substantial numbers. These data support a model in which progressive changes in V1 synaptic contacts early in disease, and in select V1 subpopulations at later stages, represent a compensatory upregulation and then deleterious breakdown of specific interneuron circuits within the spinal cord.},
  author       = {Salamatina, Alina and Yang, Jerry H and Brenner-Morton, Susan and Bikoff, Jay B  and Fang, Linjing and Kintner, Christopher R and Jessell, Thomas M and Sweeney, Lora Beatrice Jaeger},
  issn         = {0306-4522},
  journal      = {Neuroscience},
  pages        = {81--95},
  publisher    = {Elsevier},
  title        = {{Differential loss of spinal interneurons in a mouse model of ALS}},
  doi          = {10.1016/j.neuroscience.2020.08.011},
  volume       = {450},
  year         = {2020},
}

@article{8924,
  abstract     = {Maintaining fertility in a fluctuating environment is key to the reproductive success of flowering plants. Meiosis and pollen formation are particularly sensitive to changes in growing conditions, especially temperature. We have previously identified cyclin-dependent kinase G1 (CDKG1) as a master regulator of temperature-dependent meiosis and this may involve the regulation of alternative splicing (AS), including of its own transcript. CDKG1 mRNA can undergo several AS events, potentially producing two protein variants: CDKG1L and CDKG1S, differing in their N-terminal domain which may be involved in co-factor interaction. In leaves, both isoforms have distinct temperature-dependent functions on target mRNA processing, but their role in pollen development is unknown. In the present study, we characterize the role of CDKG1L and CDKG1S in maintaining Arabidopsis fertility. We show that the long (L) form is necessary and sufficient to rescue the fertility defects of the cdkg1-1 mutant, while the short (S) form is unable to rescue fertility. On the other hand, an extra copy of CDKG1L reduces fertility. In addition, mutation of the ATP binding pocket of the kinase indicates that kinase activity is necessary for the function of CDKG1. Kinase mutants of CDKG1L and CDKG1S correctly localize to the cell nucleus and nucleus and cytoplasm, respectively, but are unable to rescue either the fertility or the splicing defects of the cdkg1-1 mutant. Furthermore, we show that there is partial functional overlap between CDKG1 and its paralog CDKG2 that could in part be explained by overlapping gene expression.},
  author       = {Nibau, Candida and Dadarou, Despoina and Kargios, Nestoras and Mallioura, Areti and Fernandez-Fuentes, Narcis and Cavallari, Nicola and Doonan, John H.},
  issn         = {1664-462X},
  journal      = {Frontiers in Plant Science},
  publisher    = {Frontiers},
  title        = {{A functional kinase is necessary for cyclin-dependent kinase G1 (CDKG1) to maintain fertility at high ambient temperature in Arabidopsis}},
  doi          = {10.3389/fpls.2020.586870},
  volume       = {11},
  year         = {2020},
}

@misc{8930,
  abstract     = {Phenomenological relations such as Ohm’s or Fourier’s law have a venerable history in physics but are still scarce in biology. This situation restrains predictive theory. Here, we build on bacterial “growth laws,” which capture physiological feedback between translation and cell growth, to construct a minimal biophysical model for the combined action of ribosome-targeting antibiotics. Our model predicts drug interactions like antagonism or synergy solely from responses to individual drugs. We provide analytical results for limiting cases, which agree well with numerical results. We systematically refine the model by including direct physical interactions of different antibiotics on the ribosome. In a limiting case, our model provides a mechanistic underpinning for recent predictions of higher-order interactions that were derived using entropy maximization. We further refine the model to include the effects of antibiotics that mimic starvation and the presence of resistance genes. We describe the impact of a starvation-mimicking antibiotic on drug interactions analytically and verify it experimentally. Our extended model suggests a change in the type of drug interaction that depends on the strength of resistance, which challenges established rescaling paradigms. We experimentally show that the presence of unregulated resistance genes can lead to altered drug interaction, which agrees with the prediction of the model. While minimal, the model is readily adaptable and opens the door to predicting interactions of second and higher-order in a broad range of biological systems.},
  author       = {Kavcic, Bor},
  keywords     = {Escherichia coli, antibiotic combinations, translation, growth laws, drug interactions, bacterial physiology, translation inhibitors},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Analysis scripts and research data for the paper "Minimal biophysical model of combined antibiotic action"}},
  doi          = {10.15479/AT:ISTA:8930},
  year         = {2020},
}

@article{8944,
  abstract     = {Superconductor insulator transition in transverse magnetic field is studied in the highly disordered MoC film with the product of the Fermi momentum and the mean free path kF*l close to unity. Surprisingly, the Zeeman paramagnetic effects dominate over orbital coupling on both sides of the transition. In superconducting state it is evidenced by a high upper critical magnetic field 𝐵𝑐2, by its square root dependence on temperature, as well as by the Zeeman splitting of the quasiparticle density of states (DOS) measured by scanning tunneling microscopy. At 𝐵𝑐2 a logarithmic anomaly in DOS is observed. This anomaly is further enhanced in increasing magnetic field, which is explained by the Zeeman splitting of the Altshuler-Aronov DOS driving
the system into a more insulating or resistive state. Spin dependent Altshuler-Aronov correction is also needed to explain the transport behavior above 𝐵𝑐2.},
  author       = {Zemlicka, Martin and Kopčík, M. and Szabó, P. and Samuely, T. and Kačmarčík, J. and Neilinger, P. and Grajcar, M. and Samuely, P.},
  issn         = {2469-9969},
  journal      = {Physical Review B},
  number       = {18},
  publisher    = {American Physical Society},
  title        = {{Zeeman-driven superconductor-insulator transition in strongly disordered MoC films: Scanning tunneling microscopy and transport studies in a transverse magnetic field}},
  doi          = {10.1103/PhysRevB.102.180508},
  volume       = {102},
  year         = {2020},
}

@article{8949,
  abstract     = {<jats:p>Development of the nervous system undergoes important transitions, including one from neurogenesis to gliogenesis which occurs late during embryonic gestation. Here we report on clonal analysis of gliogenesis in mice using Mosaic Analysis with Double Markers (MADM) with quantitative and computational methods. Results reveal that developmental gliogenesis in the cerebral cortex occurs in a fraction of earlier neurogenic clones, accelerating around E16.5, and giving rise to both astrocytes and oligodendrocytes. Moreover, MADM-based genetic deletion of the epidermal growth factor receptor (Egfr) in gliogenic clones revealed that Egfr is cell autonomously required for gliogenesis in the mouse dorsolateral cortices. A broad range in the proliferation capacity, symmetry of clones, and competitive advantage of MADM cells was evident in clones that contained one cellular lineage with double dosage of Egfr relative to their environment, while their sibling Egfr-null cells failed to generate glia. Remarkably, the total numbers of glia in MADM clones balance out regardless of significant alterations in clonal symmetries. The variability in glial clones shows stochastic patterns that we define mathematically, which are different from the deterministic patterns in neuronal clones. This study sets a foundation for studying the biological significance of stochastic and deterministic clonal principles underlying tissue development, and identifying mechanisms that differentiate between neurogenesis and gliogenesis.</jats:p>},
  author       = {Zhang, Xuying and Mennicke, Christine V. and Xiao, Guanxi and Beattie, Robert J and Haider, Mansoor and Hippenmeyer, Simon and Ghashghaei, H. Troy},
  issn         = {2073-4409},
  journal      = {Cells},
  number       = {12},
  publisher    = {MDPI},
  title        = {{Clonal analysis of gliogenesis in the cerebral cortex reveals stochastic expansion of glia and cell autonomous responses to Egfr dosage}},
  doi          = {10.3390/cells9122662},
  volume       = {9},
  year         = {2020},
}

@misc{8951,
  abstract     = {Gene expression levels are influenced by multiple coexisting molecular mechanisms. Some of these interactions, such as those of transcription factors and promoters have been studied extensively. However, predicting phenotypes of gene regulatory networks remains a major challenge. Here, we use a well-defined synthetic gene regulatory network to study how network phenotypes depend on local genetic context, i.e. the genetic neighborhood of a transcription factor and its relative position. We show that one gene regulatory network with fixed topology can display not only quantitatively but also qualitatively different phenotypes, depending solely on the local genetic context of its components. Our results demonstrate that changes in local genetic context can place a single transcriptional unit within two separate regulons without the need for complex regulatory sequences. We propose that relative order of individual transcriptional units, with its potential for combinatorial complexity, plays an important role in shaping phenotypes of gene regulatory networks.},
  author       = {Nagy-Staron, Anna A},
  keywords     = {Gene regulatory networks, Gene expression, Escherichia coli, Synthetic Biology},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Sequences of gene regulatory network permutations for the article "Local genetic context shapes the function of a gene regulatory network"}},
  doi          = {10.15479/AT:ISTA:8951},
  year         = {2020},
}

@article{8955,
  abstract     = {Skeletal muscle activity is continuously modulated across physiologic states to provide coordination, flexibility and responsiveness to body tasks and external inputs. Despite the central role the muscular system plays in facilitating vital body functions, the network of brain-muscle interactions required to control hundreds of muscles and synchronize their activation in relation to distinct physiologic states has not been investigated. Recent approaches have focused on general associations between individual brain rhythms and muscle activation during movement tasks. However, the specific forms of coupling, the functional network of cortico-muscular coordination, and how network structure and dynamics are modulated by autonomic regulation across physiologic states remains unknown. To identify and quantify the cortico-muscular interaction network and uncover basic features of neuro-autonomic control of muscle function, we investigate the coupling between synchronous bursts in cortical rhythms and peripheral muscle activation during sleep and wake. Utilizing the concept of time delay stability and a novel network physiology approach, we find that the brain-muscle network exhibits complex dynamic patterns of communication involving multiple brain rhythms across cortical locations and different electromyographic frequency bands. Moreover, our results show that during each physiologic state the cortico-muscular network is characterized by a specific profile of network links strength, where particular brain rhythms play role of main mediators of interaction and control. Further, we discover a hierarchical reorganization in network structure across physiologic states, with high connectivity and network link strength during wake, intermediate during REM and light sleep, and low during deep sleep, a sleep-stage stratification that demonstrates a unique association between physiologic states and cortico-muscular network structure. The reported empirical observations are consistent across individual subjects, indicating universal behavior in network structure and dynamics, and high sensitivity of cortico-muscular control to changes in autonomic regulation, even at low levels of physical activity and muscle tone during sleep. Our findings demonstrate previously unrecognized basic principles of brain-muscle network communication and control, and provide new perspectives on the regulatory mechanisms of brain dynamics and locomotor activation, with potential clinical implications for neurodegenerative, movement and sleep disorders, and for developing efficient treatment strategies.},
  author       = {Rizzo, Rossella and Zhang, Xiyun and Wang, Jilin W.J.L. and Lombardi, Fabrizio and Ivanov, Plamen Ch},
  issn         = {1664042X},
  journal      = {Frontiers in Physiology},
  publisher    = {Frontiers},
  title        = {{Network physiology of cortico–muscular interactions}},
  doi          = {10.3389/fphys.2020.558070},
  volume       = {11},
  year         = {2020},
}

@article{8957,
  abstract     = {Global tissue tension anisotropy has been shown to trigger stereotypical cell division orientation by elongating mitotic cells along the main tension axis. Yet, how tissue tension elongates mitotic cells despite those cells undergoing mitotic rounding (MR) by globally upregulating cortical actomyosin tension remains unclear. We addressed this question by taking advantage of ascidian embryos, consisting of a small number of interphasic and mitotic blastomeres and displaying an invariant division pattern. We found that blastomeres undergo MR by locally relaxing cortical tension at their apex, thereby allowing extrinsic pulling forces from neighboring interphasic blastomeres to polarize their shape and thus division orientation. Consistently, interfering with extrinsic forces by reducing the contractility of interphasic blastomeres or disrupting the establishment of asynchronous mitotic domains leads to aberrant mitotic cell division orientations. Thus, apical relaxation during MR constitutes a key mechanism by which tissue tension anisotropy controls stereotypical cell division orientation.},
  author       = {Godard, Benoit G and Dumollard, Rémi and Munro, Edwin and Chenevert, Janet and Hebras, Céline and Mcdougall, Alex and Heisenberg, Carl-Philipp J},
  issn         = {1878-1551},
  journal      = {Developmental Cell},
  number       = {6},
  pages        = {695--706},
  publisher    = {Elsevier},
  title        = {{Apical relaxation during mitotic rounding promotes tension-oriented cell division}},
  doi          = {10.1016/j.devcel.2020.10.016},
  volume       = {55},
  year         = {2020},
}

@article{8971,
  abstract     = {The actin-related protein (Arp)2/3 complex nucleates branched actin filament networks pivotal for cell migration, endocytosis and pathogen infection. Its activation is tightly regulated and involves complex structural rearrangements and actin filament binding, which are yet to be understood. Here, we report a 9.0 Å resolution structure of the actin filament Arp2/3 complex branch junction in cells using cryo-electron tomography and subtomogram averaging. This allows us to generate an accurate model of the active Arp2/3 complex in the branch junction and its interaction with actin filaments. Notably, our model reveals a previously undescribed set of interactions of the Arp2/3 complex with the mother filament, significantly different to the previous branch junction model. Our structure also indicates a central role for the ArpC3 subunit in stabilizing the active conformation.},
  author       = {Fäßler, Florian and Dimchev, Georgi A and Hodirnau, Victor-Valentin and Wan, William and Schur, Florian KM},
  issn         = {2041-1723},
  journal      = {Nature Communications},
  keywords     = {General Biochemistry, Genetics and Molecular Biology, General Physics and Astronomy, General Chemistry},
  publisher    = {Springer Nature},
  title        = {{Cryo-electron tomography structure of Arp2/3 complex in cells reveals new insights into the branch junction}},
  doi          = {10.1038/s41467-020-20286-x},
  volume       = {11},
  year         = {2020},
}

@article{8973,
  abstract     = {We consider the symmetric simple exclusion process in Zd with quenched bounded dynamic random conductances and prove its hydrodynamic limit in path space. The main tool is the connection, due to the self-duality of the process, between the invariance principle for single particles starting from all points and the macroscopic behavior of the density field. While the hydrodynamic limit at fixed macroscopic times is obtained via a generalization to the time-inhomogeneous context of the strategy introduced in [41], in order to prove tightness for the sequence of empirical density fields we develop a new criterion based on the notion of uniform conditional stochastic continuity, following [50]. In conclusion, we show that uniform elliptic dynamic conductances provide an example of environments in which the so-called arbitrary starting point invariance principle may be derived from the invariance principle of a single particle starting from the origin. Therefore, our hydrodynamics result applies to the examples of quenched environments considered in, e.g., [1], [3], [6] in combination with the hypothesis of uniform ellipticity.},
  author       = {Redig, Frank and Saada, Ellen and Sau, Federico},
  issn         = {1083-6489},
  journal      = {Electronic Journal of Probability},
  publisher    = { Institute of Mathematical Statistics},
  title        = {{Symmetric simple exclusion process in dynamic environment: Hydrodynamics}},
  doi          = {10.1214/20-EJP536},
  volume       = {25},
  year         = {2020},
}

@article{9000,
  abstract     = {In prokaryotes, thermodynamic models of gene regulation provide a highly quantitative mapping from promoter sequences to gene-expression levels that is compatible with in vivo and in vitro biophysical measurements. Such concordance has not been achieved for models of enhancer function in eukaryotes. In equilibrium models, it is difficult to reconcile the reported short transcription factor (TF) residence times on the DNA with the high specificity of regulation. In nonequilibrium models, progress is difficult due to an explosion in the number of parameters. Here, we navigate this complexity by looking for minimal nonequilibrium enhancer models that yield desired regulatory phenotypes: low TF residence time, high specificity, and tunable cooperativity. We find that a single extra parameter, interpretable as the “linking rate,” by which bound TFs interact with Mediator components, enables our models to escape equilibrium bounds and access optimal regulatory phenotypes, while remaining consistent with the reported phenomenology and simple enough to be inferred from upcoming experiments. We further find that high specificity in nonequilibrium models is in a trade-off with gene-expression noise, predicting bursty dynamics—an experimentally observed hallmark of eukaryotic transcription. By drastically reducing the vast parameter space of nonequilibrium enhancer models to a much smaller subspace that optimally realizes biological function, we deliver a rich class of models that could be tractably inferred from data in the near future.},
  author       = {Grah, Rok and Zoller, Benjamin and Tkačik, Gašper},
  issn         = {1091-6490},
  journal      = {Proceedings of the National Academy of Sciences of the United States of America},
  number       = {50},
  pages        = {31614--31622},
  publisher    = {National Academy of Sciences},
  title        = {{Nonequilibrium models of optimal enhancer function}},
  doi          = {10.1073/pnas.2006731117},
  volume       = {117},
  year         = {2020},
}

@article{9007,
  abstract     = {Motivated by a recent question of Peyre, we apply the Hardy–Littlewood circle method to count “sufficiently free” rational points of bounded height on arbitrary smooth projective hypersurfaces of low degree that are defined over the rationals.},
  author       = {Browning, Timothy D and Sawin, Will},
  issn         = {1420-8946},
  journal      = {Commentarii Mathematici Helvetici},
  number       = {4},
  pages        = {635--659},
  publisher    = {European Mathematical Society},
  title        = {{Free rational points on smooth hypersurfaces}},
  doi          = {10.4171/CMH/499},
  volume       = {95},
  year         = {2020},
}

@article{9011,
  abstract     = {Distributed ledgers provide high availability and integrity, making them a key enabler for practical and secure computation of distributed workloads among mutually distrustful parties. Many practical applications also require strong confidentiality, however. This work enhances permissioned and permissionless blockchains with the ability to manage confidential data without forfeiting availability or decentralization. The proposed Calypso architecture addresses two orthogonal challenges confronting modern distributed ledgers: (a) enabling the auditable management of secrets and (b) protecting distributed computations against arbitrage attacks when their results depend on the ordering and secrecy of inputs.

Calypso introduces on-chain secrets, a novel abstraction that enforces atomic deposition of an auditable trace whenever users access confidential data. Calypso provides user-controlled consent management that ensures revocation atomicity and accountable anonymity. To enable permissionless deployment, we introduce an incentive scheme and provide users with the option to select their preferred trustees. We evaluated our Calypso prototype with a confidential document-sharing application and a decentralized lottery. Our benchmarks show that transaction-processing latency increases linearly in terms of security (number of trustees) and is in the range of 0.2 to 8 seconds for 16 to 128 trustees.},
  author       = {Kokoris Kogias, Eleftherios and Alp, Enis Ceyhun and Gasser, Linus and Jovanovic, Philipp and Syta, Ewa and Ford, Bryan},
  issn         = {2150-8097},
  journal      = {Proceedings of the VLDB Endowment},
  number       = {4},
  pages        = {586--599},
  publisher    = {Association for Computing Machinery},
  title        = {{CALYPSO: Private data management for decentralized ledgers}},
  doi          = {10.14778/3436905.3436917},
  volume       = {14},
  year         = {2020},
}

@article{9039,
  abstract     = {We give a short and self-contained proof for rates of convergence of the Allen--Cahn equation towards mean curvature flow, assuming that a classical (smooth) solution to the latter exists and starting from well-prepared initial data. Our approach is based on a relative entropy technique. In particular, it does not require a stability analysis for the linearized Allen--Cahn operator. As our analysis also does not rely on the comparison principle, we expect it to be applicable to more complex equations and systems.},
  author       = {Fischer, Julian L and Laux, Tim and Simon, Theresa M.},
  issn         = {1095-7154},
  journal      = {SIAM Journal on Mathematical Analysis},
  number       = {6},
  pages        = {6222--6233},
  publisher    = {Society for Industrial and Applied Mathematics},
  title        = {{Convergence rates of the Allen-Cahn equation to mean curvature flow: A short proof based on relative entropies}},
  doi          = {10.1137/20M1322182},
  volume       = {52},
  year         = {2020},
}

@inproceedings{9040,
  abstract     = {Machine learning and formal methods have complimentary benefits and drawbacks. In this work, we address the controller-design problem with a combination of techniques from both fields. The use of black-box neural networks in deep reinforcement learning (deep RL) poses a challenge for such a combination. Instead of reasoning formally about the output of deep RL, which we call the wizard, we extract from it a decision-tree based model, which we refer to as the magic book. Using the extracted model as an intermediary, we are able to handle problems that are infeasible for either deep RL or formal methods by themselves. First, we suggest, for the first time, a synthesis procedure that is based on a magic book. We synthesize a stand-alone correct-by-design controller that enjoys the favorable performance of RL. Second, we incorporate a magic book in a bounded model checking (BMC) procedure. BMC allows us to find numerous traces of the plant under the control of the wizard, which a user can use to increase the trustworthiness of the wizard and direct further training.},
  author       = {Alamdari, Par Alizadeh and Avni, Guy and Henzinger, Thomas A and Lukina, Anna},
  booktitle    = {Proceedings of the 20th Conference on Formal Methods in Computer-Aided Design},
  isbn         = {9783854480426},
  issn         = {2708-7824},
  location     = {Online Conference},
  pages        = {138--147},
  publisher    = {TU Wien Academic Press},
  title        = {{Formal methods with a touch of magic}},
  doi          = {10.34727/2020/isbn.978-3-85448-042-6_21},
  year         = {2020},
}

@inbook{9096,
  author       = {Schmid-Hempel, Paul and Cremer, Sylvia M},
  booktitle    = {Encyclopedia of Social Insects},
  editor       = {Starr, C},
  isbn         = {9783319903064},
  publisher    = {Springer Nature},
  title        = {{Parasites and Pathogens}},
  doi          = {10.1007/978-3-319-90306-4_94-1},
  year         = {2020},
}

@article{9104,
  abstract     = {We consider the free additive convolution of two probability measures μ and ν on the real line and show that μ ⊞ v is supported on a single interval if μ and ν each has single interval support. Moreover, the density of μ ⊞ ν is proven to vanish as a square root near the edges of its support if both μ and ν have power law behavior with exponents between −1 and 1 near their edges. In particular, these results show the ubiquity of the conditions in our recent work on optimal local law at the spectral edges for addition of random matrices [5].},
  author       = {Bao, Zhigang and Erdös, László and Schnelli, Kevin},
  issn         = {1565-8538},
  journal      = {Journal d'Analyse Mathematique},
  pages        = {323--348},
  publisher    = {Springer Nature},
  title        = {{On the support of the free additive convolution}},
  doi          = {10.1007/s11854-020-0135-2},
  volume       = {142},
  year         = {2020},
}

