56 citations · 88 across the 4 of their papers we have counts for
6 papers
Physical Adversarial Attacks on an Aerial Imagery Object Detector
Andrew Du, Bo Chen, Tat-Jun Chin +4
Deep neural networks (DNNs) have become essential for processing the vast amounts of aerial imagery collected using earth-observing satellite platforms. However, DNNs are vulnerabl…
Quantum Annealing Formulation for Binary Neural Networks
Michele Sasdelli, Tat-Jun Chin
Quantum annealing is a promising paradigm for building practical quantum computers. Compared to other approaches, quantum annealing technology has been scaled up to a larger number…
ASASSN-14lp: two possible solutions for the observed UV suppression
Barnabás Barna, Talytha Pereira, Stefan Taubenberger +10
We test the adequacy of ultraviolet (UV) spectra for characterizing the outer structure of Type Ia supernova (SN) ejecta. For this purpose, we perform spectroscopic analysis for AS…
A metric space for type Ia supernova spectra: a new method to assess explosion scenarios
Michele Sasdelli, W. Hillebrandt, M. Kromer +4
Over the past years type Ia supernovae (SNe Ia) have become a major tool to determine the expansion history of the Universe, and considerable attention has been given to, both, obs…
A metric space for type Ia supernova spectra
Michele Sasdelli, W. Hillebrandt, G. Aldering +43
We develop a new framework for use in exploring Type Ia Supernova (SN Ia) spectra. Combining Principal Component Analysis (PCA) and Partial Least Square analysis (PLS) we are able…
Abundance stratification in Type Ia Supernovae - IV: the luminous, peculiar SN 1991T
Michele Sasdelli, Paolo A. Mazzali, Elena Pian +4
The abundance distribution of the elements in the ejecta of the peculiar, luminous Type Ia supernova (SN Ia) 1991T is obtained modelling spectra from before maximum light until a y…