In this paper, we gave a poly(n,d,1/ϵ) time algorithm to compute an ϵ-approximation of the log-concave MLE based on n points in Rd. Ours is the first algorithm for this problem with a sub-exponential dependence in the dimension d. We hope that our...

We have presented a non-linear method based on convolutional neural network algorithm to extract CCSN signals embedded in Gaussian noise with spectral behaviour of Advanced LIGO and Virgo detectors. We compared the efficiency of the method for dif...

In order to provide extra improvement in spectrum efficiency, we have proposed a NOMA-CoMAC system through the division, superposition, SIC and reconstruction of the desired functions. Unlike those NOMA designs for information transmission, the pr...

One of us (KD) gratefully acknowledges the organizers of The International Workshop on Low Dimensional Quantum Magnetism 2016 (EPFL Lausanne) and SIGN 2017 (Institute for Nuclear Theory, Seattle) for hospitality during the initial stages of this w...

In this manuscript we present an online ecosystem to study the efficiency and suitability of computing hardware for a variety of real-world high-performance computing applications. The ecosystem provides a collaborative, continuous and transparent...

We studied the evolution of planetesimals embedded in the gas disk after a Jovian planet is formed. The planetesimals migrate inward crossing planetary resonances because of gas drag. The eccentricity of 100-km planetesimals is enhanced typically ...

A fundamental axiom of quantum mechanics requires the Hamiltonians to be Hermitian which guarantees real eigen-energies and probability conservation. However, a class of non-Hermitian Hamiltonians with Parity-Time ($\mathcal{PT}$) symmetry can sti...

We have found that the longitudinal component of the laser electric field can make a profound impact on the energy balance of accelerated (or decelerated) electrons. During resonant direct laser acceleration of particles in ion channels or in plas...

In this paper we have studied the effects of diffusion strength and nucleation efficiency on the characteristics of clouds in exoplanet atmospheres. We have presented a relatively simple framework of cloud formation where these effects can be stud...

In this thesis, I present several results on quantum statistical inference in the following two directions. Firstly, I demonstrate that quantum algorithms can be applied to enhance the computing and training of Gaussian processes (GPs), a powerful...

Research carried out using the computational resources of the Center for Mathematical Sciences Applied to Industry (CeMEAI) funded by FAPESP (grant 2013/07375-0). Y. M. acknowledges partial support from the Government of Aragón, Spain through gran...

The linear Reissner-Mindlin shell theory is reformulated in terms of the TDC using a global Cartesian coordinate system. The total deformation is split into the deformation of the middle surface and the rotation of the normal vector. The latter is...

In this work, we have studied the influence of the magnetic interaction in the creation of a metaestable skyrmion in isolated and coupled systems of STNOs using pulsed spin current densities, using micromagnetic simulation. We have built phase dia...

SHELA’s deep, wide-area multi-wavelength images – spanning a wavelength range of 0.35 to 4.5 μm – combined with HETDEX’s spectroscopic information will enable many extragalactic studies, including measuring the evolution of galaxy stellar mass, ha...

In this paper we examine the relations between star-formation rate, stellar mass, and environment for 5770 spectroscopically-selected galaxies at z∼0.9. Galaxies are drawn from the ORELSE and VVDS spectroscopic surveys which predominantly probe hi...

In this work, we have investigated singlet-triplet fermion dark matter interacting with the standard model through a scalar or pseudo-scalar Higgs portal. The nature of the Higgs portal also has implications on the weak charged currents, which are...

In this study we presented the fraction of different types of galaxies which have ceased to form stars as estimated from observations taken as part of the Observations of Redshift Evolution in Large Scale Environments (ORELSE) survey. These popula...

It is important to detect and handle anomalous inputs when deploying machine learning systems. The use of larger and more complex inputs in deep learning magnifies the difficulty of distinguishing between anomalous and in-distribution examples. At...

We propose DeepV2D, an end-to-end differentiable system which applies both monocular and geometric cues to predict 3D structure from a video sequence. DeepV2D is built from a set of geometric modules based on classical SfM operations and applies s...