Interval Reachability Analysis using Second-Order Sensitivity. (arXiv:1911.09775v1 [eess.SY])

We propose a new approach to compute an interval over-approximation of the finite time reachable set for a large class of nonlinear systems. This approach relies on the notions of sensitivity matrices, which are the partial derivatives representing the variations of the system trajectories in response to variations of the initial states. Using interval arithmetics,…

TMI: Thermodynamic inference of data manifolds. (arXiv:1911.09776v1 [cond-mat.stat-mech])

The Gibbs-Boltzmann distribution offers a physically interpretable way to massively reduce the dimensionality of high dimensional probability distributions where the extensive variables are `features’ and the intensive variables are `descriptors’. However, not all probability distributions can be modeled using the Gibbs-Boltzmann form. Here, we present TMI: TMI, {\bf T}hermodynamic {\bf M}anifold {\bf I}nference; a thermodynamic…

TMI: Thermodynamic inference of data manifolds. (arXiv:1911.09776v1 [cond-mat.stat-mech])

The Gibbs-Boltzmann distribution offers a physically interpretable way to massively reduce the dimensionality of high dimensional probability distributions where the extensive variables are `features’ and the intensive variables are `descriptors’. However, not all probability distributions can be modeled using the Gibbs-Boltzmann form. Here, we present TMI: TMI, {\bf T}hermodynamic {\bf M}anifold {\bf I}nference; a thermodynamic…

Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability. (arXiv:1911.09777v1 [cs.CR])

Membership inference attacks seek to infer the membership of individual training instances of a privately trained model. This paper presents a membership privacy analysis and evaluation system, called MPLens, with three unique contributions. First, through MPLens, we demonstrate how membership inference attack methods can be leveraged in adversarial machine learning. Second, through MPLens, we highlight…

Synthetic vs Real: Deep Learning on Controlled Noise. (arXiv:1911.09781v1 [cs.LG])

Performing controlled experiments on noisy data is essential in thoroughly understanding deep learning across a spectrum of noise levels. Due to the lack of suitable datasets, previous research have only examined deep learning on controlled synthetic noise, and real-world noise has never been systematically studied in a controlled setting. To this end, this paper establishes…

Verbal Programming of Robot Behavior. (arXiv:1911.09782v1 [cs.AI])

Home robots may come with many sophisticated built-in abilities, however there will always be a degree of customization needed for each user and environment. Ideally this should be accomplished through one-shot learning, as collecting the large number of examples needed for statistical inference is tedious. A particularly appealing approach is to simply explain to the…

Study of Di-muon Production Process in $pp$ Collision in CMS Data from Symmetry Scaling Perspective. (arXiv:1911.09928v1 [hep-ex])

A deailed knowledge of pp collision is required both as input to comprehensive theoretical models of strong interactions and as baseline to decipher the AA collisions at relativistic and ultrarelativistic energies, which has been of great interest in the area of theoretical and experimental physics. The multiplicity distribution of particles produced in pp collisions and…

“Thermal Spike” model applied to thin targets irradiated with swift heavy ion beams at few MeV/u. (arXiv:1911.09932v1 [nucl-ex])

High electronic excitations in radiation of metallic targets with swift heavy ion beams at the coulomb barrier play a dominant role in the damaging processes of some metals. The inelastic thermal spike model was developed to describe tracks in materials and is applied in this paper to some systems beams/targets employed recently in some nuclear…

Piezoelectrically Tunable Micro Fresnel Mirror Array. (arXiv:1911.09936v1 [physics.app-ph])

We present the design and fabrication of a miniaturized array of piezoelectrically actuated high speed Fresnel mirrors, which can be used to generate propagation invariant and self-healing interference patterns. The mirrors are actuated using piezobimorph actuators, and the consequent change of the tilting angle of the mirrors changes the fringe spacing of the interference pattern…

Effect of higher-order interactions in a hybrid Electro-Optomechanical System. (arXiv:1911.09940v1 [physics.optics])

A detailed analysis highlighting the effect of optomechanical non-linearity on the dynamical evolution of a hybrid electro-optomechanical system (EOMS) is presented. The study, conducted over a wide range of parameter regime reveals that the quadratic coupling term significantly alters the dynamics of the system and thus cannot be ignored for any potential applications.