R. Scalzo
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View article: Emergence of Computational Structure in a Neural Network Physics Simulator
Emergence of Computational Structure in a Neural Network Physics Simulator Open
Neural networks often have identifiable computational structures - components of the network which perform an interpretable algorithm or task - but the mechanisms by which these emerge and the best methods for detecting these structures ar…
View article: Semi-Supervised Learning for Lensed Quasar Detection
Semi-Supervised Learning for Lensed Quasar Detection Open
Lensed quasars are key to many areas of study in astronomy, offering a unique probe into the intermediate and far universe. However, finding lensed quasars has proved difficult despite significant efforts from large collaborations. These c…
View article: PINN-Ray: A Physics-Informed Neural Network to Model Soft Robotic Fin Ray Fingers
PINN-Ray: A Physics-Informed Neural Network to Model Soft Robotic Fin Ray Fingers Open
Modelling complex deformation for soft robotics provides a guideline to understand their behaviour, leading to safe interaction with the environment. However, building a surrogate model with high accuracy and fast inference speed can be ch…
View article: Observing the galactic underworld: predicting photometry and astrometry from compact remnant microlensing events
Observing the galactic underworld: predicting photometry and astrometry from compact remnant microlensing events Open
Isolated black holes (BHs) and neutron stars (NSs) are largely undetectable across the electromagnetic spectrum. For this reason, our only real prospect of observing these isolated compact remnants is via microlensing; a feat recently perf…
View article: A Bayesian hierarchical model for the inference between metal grade with reduced variance: Case studies in porphyry Cu deposits
A Bayesian hierarchical model for the inference between metal grade with reduced variance: Case studies in porphyry Cu deposits Open
Ore sorting is a preconcentration technology and can dramatically reduce energy and water usage to improve the sustainability and profitability of a mining operation. In porphyry Cu deposits, Cu is the primary target, with ores usually con…
View article: Nonlinear wavefront reconstruction from a pyramid sensor using neural networks
Nonlinear wavefront reconstruction from a pyramid sensor using neural networks Open
The pyramid wavefront sensor (PyWFS) has become increasingly popular to use in adaptive optics (AO) systems due to its high sensitivity. The main drawback of the PyWFS is that it is inherently nonlinear, which means that classic linear wav…
View article: Nonlinear Wave Front Reconstruction from a Pyramid Sensor using Neural Networks
Nonlinear Wave Front Reconstruction from a Pyramid Sensor using Neural Networks Open
The pyramid wave front sensor (PyWFS) has become increasingly popular to use in adaptive optics (AO) systems due to its high sensitivity. The main drawback of the PyWFS is that it is inherently nonlinear, which means that classic linear wa…
View article: Assessing the impact of conceptual mineral systems uncertainty on prospectivity predictions
Assessing the impact of conceptual mineral systems uncertainty on prospectivity predictions Open
View article: Blockworlds 0.1.0: a demonstration of anti-aliased geophysics for probabilistic inversions of implicit and kinematic geological models
Blockworlds 0.1.0: a demonstration of anti-aliased geophysics for probabilistic inversions of implicit and kinematic geological models Open
Parametric geological models such as implicit or kinematic models provide low-dimensional, interpretable representations of 3-D geological structures. Combining these models with geophysical data in a probabilistic joint inversion framewor…
View article: Still Brighter than Pre-explosion, SN 2012Z Did Not Disappear: Comparing Hubble Space Telescope Observations a Decade Apart
Still Brighter than Pre-explosion, SN 2012Z Did Not Disappear: Comparing Hubble Space Telescope Observations a Decade Apart Open
Type Iax supernovae (SNe Iax) represent the largest class of peculiar white dwarf supernovae. The type Iax SN 2012Z in NGC 1309 is the only white dwarf supernova with a detected progenitor system in pre-explosion observations. Deep Hubble …
View article: Into the Noddyverse: a massive data store of 3D geological models for machine learning and inversion applications
Into the Noddyverse: a massive data store of 3D geological models for machine learning and inversion applications Open
Unlike some other well-known challenges such as facial recognition, where machine learning and inversion algorithms are widely developed, the geosciences suffer from a lack of large, labelled data sets that can be used to validate or train…
View article: Bayesian optimization with informative parametric models via sequential Monte Carlo
Bayesian optimization with informative parametric models via sequential Monte Carlo Open
Bayesian optimization (BO) has been a successful approach to optimize expensive functions whose prior knowledge can be specified by means of a probabilistic model. Due to their expressiveness and tractable closed-form predictive distributi…
View article: Comment on gmd-2021-187
Comment on gmd-2021-187 Open
Abstract. Parametric geological models such as implicit or kinematic models provide low-dimensional, interpretable representations of 3-DÂ geological structures. Combining these models with geophysical data in a probabilis…
View article: Comment on essd-2021-304
Comment on essd-2021-304 Open
Abstract. Unlike some other well-known challenges such as facial recognition, where machine learning and inversion algorithms are widely developed, the geosciences suffer from a lack of large, labelled data sets that can b…
View article: Into the Noddyverse: A massive data store of 3D geological models for Machine Learning & inversion applications
Into the Noddyverse: A massive data store of 3D geological models for Machine Learning & inversion applications Open
Unlike some other well-known challenges such as facial recognition, where Machine Learning and Inversion algorithms are widely developed, the geosciences suffer from a lack of large, labelled datasets that can be used to validate or train …
View article: Blockworlds 0.1.0: A demonstration of anti-aliased geophysics for probabilistic inversions of implicit and kinematic geological models
Blockworlds 0.1.0: A demonstration of anti-aliased geophysics for probabilistic inversions of implicit and kinematic geological models Open
Parametric geological models such as implicit or kinematic models provide low-dimensional, interpretable representations of 3-D geological structures. Combining these models with geophysical data in a probabilistic joint inversion framewor…
View article: Learning the lantern: neural network applications to broadband photonic lantern modeling
Learning the lantern: neural network applications to broadband photonic lantern modeling Open
Photonic lanterns allow the decomposition of highly multimodal light into a\nsimplified modal basis such as single-moded and/or few-moded. They are\nincreasingly finding uses in astronomy, optics and telecommunications.\nCalculating propag…
View article: The Progenitor System of SN 2012Z Did Not Disappear: Comparing Hubble Space Telescope Observations a Decade Apart
The Progenitor System of SN 2012Z Did Not Disappear: Comparing Hubble Space Telescope Observations a Decade Apart Open
Type Iax supernovae represent the largest class of peculiar white-dwarf supernovae. The type Iax SN 2012Z in NGC 1309 is the only white dwarf supernova with a detected progenitor system in pre-explosion observations. Deep Hubble Space Tele…
View article: Predictive control for adaptive optics using neural networks
Predictive control for adaptive optics using neural networks Open
Adaptive optics (AO) has become an indispensable tool for ground-based telescopes to mitigate atmospheric seeing and obtain high angular resolution observations. Predictive control aims to overcome latency in AO systems: the inevitable tim…
View article: SkyMapper optical follow-up of gravitational wave triggers: Alert science data pipeline and LIGO/Virgo O3 run
SkyMapper optical follow-up of gravitational wave triggers: Alert science data pipeline and LIGO/Virgo O3 run Open
We present an overview of the SkyMapper optical follow-up programme for gravitational-wave event triggers from the LIGO/Virgo observatories, which aims at identifying early GW170817-like kilonovae out to $\sim200\,\mathrm{Mpc}$ distance. W…
View article: Dynamic 13C Flux Analysis Captures the Reorganization of Adipocyte Glucose Metabolism in Response to Insulin
Dynamic 13C Flux Analysis Captures the Reorganization of Adipocyte Glucose Metabolism in Response to Insulin Open
[This corrects the article DOI: 10.1016/j.isci.2020.100855.].
View article: Insulin signaling requires glucose to promote lipid anabolism in adipocytes
Insulin signaling requires glucose to promote lipid anabolism in adipocytes Open
Adipose tissue is essential for metabolic homeostasis, balancing lipid storage and mobilization based on nutritional status. This is coordinated by insulin, which triggers kinase signaling cascades to modulate numerous metabolic proteins, …
View article: Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models
Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models Open
View article: OzDES multi-object fibre spectroscopy for the Dark Energy Survey: results and second data release
OzDES multi-object fibre spectroscopy for the Dark Energy Survey: results and second data release Open
We present a description of the Australian Dark Energy Survey (OzDES) and summarize the results from its 6 years of operations. Using the 2dF fibre positioner and AAOmega spectrograph on the 3.9-m Anglo-Australian Telescope, OzDES has moni…
View article: Dynamic 13C Flux Analysis Captures the Reorganization of Adipocyte Glucose Metabolism in Response to Insulin
Dynamic 13C Flux Analysis Captures the Reorganization of Adipocyte Glucose Metabolism in Response to Insulin Open
View article: Bayesreef: A Bayesian inference framework for modelling reef growth in response to environmental change and biological dynamics
Bayesreef: A Bayesian inference framework for modelling reef growth in response to environmental change and biological dynamics Open
View article: Computer vision-based framework for extracting tectonic lineaments from optical remote sensing data
Computer vision-based framework for extracting tectonic lineaments from optical remote sensing data Open
The extraction of geological lineaments from digital satellite data is a\nfundamental application in remote sensing. The location of geological\nlineaments such as faults and dykes are of interest for a range of\napplications, particularly…
View article: Efficiency and robustness in Monte Carlo sampling for 3-D geophysical inversions with Obsidian v0.1.2: setting up for success
Efficiency and robustness in Monte Carlo sampling for 3-D geophysical inversions with Obsidian v0.1.2: setting up for success Open
The rigorous quantification of uncertainty in geophysical inversions is a challenging problem. Inversions are often ill-posed and the likelihood surface may be multi-modal; properties of any single mode become inadequate uncertainty measur…
View article: Author response to referees on v1 of manuscript
Author response to referees on v1 of manuscript Open
I have read the manuscript with interest and I think that it will be a good contribution to the field of integrated geophysical modelling and inversion.The manuscript is well written and well organized.The authors present an inversion code…
View article: The SAMI Galaxy Survey: Bayesian inference for gas disc kinematics using a hierarchical Gaussian mixture model
The SAMI Galaxy Survey: Bayesian inference for gas disc kinematics using a hierarchical Gaussian mixture model Open
We present a novel Bayesian method, referred to as blobby3d, to infer gas kinematics that mitigates the effects of beam smearing for observations using integral field spectroscopy. The method is robust for regularly rotating galaxies despi…