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Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection

Abstract

Not specified

Authors: Nafise Sadat Moosavi, Leo Born, Massimo Poesio, Michael Strube

Date Published: 28th Jul 2019

Publication Type: InProceedings

SN 2012dn from early to late times: 09dc-like supernovae reassessed

Abstract

Not specified

Authors: S Taubenberger, A Floers, C Vogl, M Kromer, J Spyromilio, G Aldering, P Antilogus, S Bailey, C Baltay, S Bongard, K Boone, C Buton, N Chotard, Y Copin, S Dixon, D Fouchez, C Fransson, E Gangler, R R Gupta, S Hachinger, B Hayden, W Hillebrandt, A G Kim, M Kowalski, P-F Leget, B Leibundgut, P A Mazzali, U M Noebauer, J Nordin, R Pain, R Pakmor, E Pecontal, R Pereira, S Perlmutter, K A Ponder, D Rabinowitz, M Rigault, D Rubin, K Runge, C Saunders, G Smadja, C Tao, R C Thomas

Date Published: 24th Jul 2019

Publication Type: Journal

Proceedings of the 10th Computational Modeling in Biology Network (COMBINE) Meeting 2019

Abstract (Expand)

These are the conference proceedings of COMBINE 2019, the 10th Computational Modeling in Biology Network (COMBINE) meeting that took place in Heidelberg (Germany) from July 15th to July 19th, 2019. The …e Computational Modeling in Biology Network (COMBINE) is an initiative to coordinate the development of the various community standards and formats for computational models in the life sciences. It was created in 2010 to enable the sharing of resources, tools, and other infrastructure, and to coordinate standardization efforts for modeling in biology. COMBINE brings standard communities together around activities that are mutually beneficial. These activities include making specification documents available from a common location, providing a central point of contact, and organizing regular face-to-face meetings. To this end, the COMBINE network organizes an annual conference style meeting (the COMBINE Forum) and annual hackathon style events called HARMONY (Hackathon on Resources for Modeling in Biology), as well as tutorials and training events. At COMBINE 2019 a combination of keynote lectures, invited talks and interactive breakout discussions, as well as contributed talks, posters and lightning talks, selected from submitted abstracts, provided the basis for the meeting, offering diverse formats to exchange information, to discuss and work on interoperability problems and to demonstrate support for standards implemented in modelling tools, platforms and databases. One special focus of COMBINE 2019 was on the standardization need in systems medicine, which has been recognized as a necessity for computer-assisted personalized medicine. To direct attention to this topic, the European standardization framework for data integration and data-driven in silico models (EUSTANDS4PM) organized a workshop as part of COMBINE 2019. Also, reproducibility in modelling was a main topic, as reflected by several sessions and workshops. Besides these focus themes, also sessions, workshops and breakout discussions around single standards, their further development and their interoperability helped to advance the standardization, standing in the tradition of COMBINE.

Authors: Martin Golebiewski, Dagmar Waltemath

Date Published: 15th Jul 2019

Publication Type: Proceedings

Mixed Variational Inference

Abstract (Expand)

The Laplace approximation has been one of the workhorses of Bayesian inference. It often delivers good approximations in practice despite the fact that it does not strictly take into account where the … volume of posterior density lies. Variational approaches avoid this issue by explicitly minimising the Kullback-Leibler divergence DKL between a postulated posterior and the true (unnormalised) logarithmic posterior. However, they rely on a closed form DKL in order to update the variational parameters. To address this, stochastic versions of variational inference have been devised that approximate the intractable DKL with a Monte Carlo average. This approximation allows calculating gradients with respect to the variational parameters. However, variational methods often postulate a factorised Gaussian approximating posterior. In doing so, they sacrifice a-posteriori correlations. In this work, we propose a method that combines the Laplace approximation with the variational approach. The advantages are that we maintain: applicability on non-conjugate models, posterior correlations and a reduced number of free variational parameters. Numerical experiments demonstrate improvement over the Laplace approximation and variational inference with factorised Gaussian posteriors.

Author: Nikolaos Gianniotis

Date Published: 1st Jul 2019

Publication Type: InCollection

Surface groups acting on CAT (-1) spaces

Abstract (Expand)

Harmonic map theory is used to show that a convex cocompact surface group action on a \mathrmCAT(-1) metric space fixes a convex copy of the hyperbolic plane (i.e. the action is Fuchsian) if and only … if the Hausdorff dimension of the limit set of the action is equal to 1. This provides another proof of a result of Bonk and Kleiner. More generally, we show that the limit set of every convex cocompact surface group action on a \mathrmCAT(-1) space has Hausdorff dimension ≥1, where the inequality is strict unless the action is Fuchsian.

Authors: GEORGIOS DASKALOPOULOS, CHIKAKO MESE, ANDREW SANDERS, ALINA VDOVINA

Date Published: 1st Jul 2019

Publication Type: Journal

Hydrodynamical moving-mesh simulations of the tidal disruption of stars by supermassive black holes

Abstract

Not specified

Authors: Felipe G Goicovic, Volker Springel, Sebastian T Ohlmann, Rüdiger Pakmor

Date Published: 1st Jul 2019

Publication Type: Journal

Specifications of Standards in Systems and Synthetic Biology: Status and Developments in 2019

Abstract

Not specified

Authors: Falk Schreiber, Björn Sommer, Gary D. Bader, Padraig Gleeson, Martin Golebiewski, Michael Hucka, Sarah M. Keating, Matthias König, Chris Myers, David Nickerson, Dagmar Waltemath

Date Published: 26th Jun 2019

Publication Type: Journal

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