Search Results for author: Oskar Elek

Found 6 papers, 2 papers with code

Monte Carlo Physarum Machine: Characteristics of Pattern Formation in Continuous Stochastic Transport Networks

no code implementations4 Apr 2022 Oskar Elek, Joseph N. Burchett, J. Xavier Prochaska, Angus G. Forbes

We present Monte Carlo Physarum Machine: a computational model suitable for reconstructing continuous transport networks from sparse 2D and 3D data.

Polyphorm: Structural Analysis of Cosmological Datasets via Interactive Physarum Polycephalum Visualization

1 code implementation5 Sep 2020 Oskar Elek, Joseph N. Burchett, J. Xavier Prochaska, Angus G. Forbes

This paper introduces Polyphorm, an interactive visualization and model fitting tool that provides a novel approach for investigating cosmological datasets.

Instrumentation and Methods for Astrophysics Human-Computer Interaction

Bio-inspired Structure Identification in Language Embeddings

no code implementations5 Sep 2020 Hongwei, Zhou, Oskar Elek, Pranav Anand, Angus G. Forbes

Word embeddings are a popular way to improve downstream performances in contemporary language modeling.

Language Modelling Word Embeddings +1

Disentangling the Cosmic Web Towards FRB 190608

1 code implementation27 May 2020 Sunil Simha, Joseph N. Burchett, J. Xavier Prochaska, Jay S. Chittidi, Oskar Elek, Nicolas Tejos, Regina Jorgenson, Keith W. Bannister, Shivani Bhandari, Cherie K. Day, Adam T. Deller, Angus G. Forbes, Jean-Pierre Macquart, Stuart D. Ryder, Ryan M. Shannon

Chittidi et al (2020) perform a detailed analysis of the ultraviolet and optical emission of the host galaxy and estimate the host DM contribution to be $110\pm 37$ $pc/cm^3$.

Astrophysics of Galaxies

Revealing the Dark Threads of the Cosmic Web

no code implementations10 Mar 2020 Joseph N. Burchett, Oskar Elek, Nicolas Tejos, J. Xavier Prochaska, Todd M. Tripp, Rongmon Bordoloi, Angus G. Forbes

Modern cosmology predicts that matter in our Universe has assembled today into a vast network of filamentary structures colloquially termed the Cosmic Web.

Learning Patterns in Sample Distributions for Monte Carlo Variance Reduction

no code implementations1 Jun 2019 Oskar Elek, Manu M. Thomas, Angus Forbes

This paper investigates a novel a-posteriori variance reduction approach in Monte Carlo image synthesis.

Denoising Image Generation

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