Results for "Piyush Rai"

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The Infinite Hierarchical Factor Regression ModelAug 05 2009We propose a nonparametric Bayesian factor regression model that accounts for uncertainty in the number of factors, and the relationship between factors. To accomplish this, we propose a sparse variant of the Indian Buffet Process and couple this with ... More
A Simple Exponential Family Framework for Zero-Shot LearningJul 25 2017Jan 25 2018We present a simple generative framework for learning to predict previously unseen classes, based on estimating class-attribute-gated class-conditional distributions. We model each class-conditional distribution as an exponential family distribution and ... More
Deep Generative Models for Relational Data with Side InformationJun 16 2017We present a probabilistic framework for overlapping community discovery and link prediction for relational data, given as a graph. The proposed framework has: (1) a deep architecture which enables us to infer multiple layers of latent features/communities ... More
Streamed Learning: One-Pass SVMsAug 05 2009We present a streaming model for large-scale classification (in the context of $\ell_2$-SVM) by leveraging connections between learning and computational geometry. The streaming model imposes the constraint that only a single pass over the data is allowed. ... More
Zero-Truncated Poisson Tensor Factorization for Massive Binary TensorsAug 18 2015We present a scalable Bayesian model for low-rank factorization of massive tensors with binary observations. The proposed model has the following key properties: (1) in contrast to the models based on the logistic or probit likelihood, using a zero-truncated ... More
Stochastic Blockmodels meet Graph Neural NetworksMay 14 2019Stochastic blockmodels (SBM) and their variants, $e.g.$, mixed-membership and overlapping stochastic blockmodels, are latent variable based generative models for graphs. They have proven to be successful for various tasks, such as discovering the community ... More
Neutrino Masses, Baryon Asymmetry, Dark Matter and the Moduli Problem : A Complete FrameworkSep 15 2008Sep 16 2009Recent developments in string theory have led to "realistic" string compactifications which lead to moduli stabilization while generating a hierarchy between the Electroweak and Planck scales at the same time. However, this seems to suggest a rethink ... More
Connecting String/M Theory to the Electroweak Scale and to LHC DataJun 11 2007Sep 13 2007The Standard Model of particle physics explains (almost) all observed non-gravitational microscopic phenomena but has many open theoretical questions. We are on the threshold of unraveling the mysteries of the Standard Model and discovering its extension. ... More
Finite Generation of the Cohomology of Quotients of PBW AlgebrasJul 04 2012In this article we prove finite generation of the cohomology of quotients of a PBW algebra A by relating it to the cohomology of quotients of a quantum symmetric algebra S which is isomorphic to the associated graded algebra of A. The proof uses a spectral ... More
Development of Tool for Mapping Conventional Circuit to Reversible LogicJul 02 2014In the last decades, great achievements have been made in the development of computing machines. However, due to exponential growth of transistor density and in particular due to tremendously increasing power consumption, researchers expect that "Conventional ... More
The Leptonic Higgs and Dark MatterOct 05 2009This is a short review of the framework proposed in \cite{Goh:2009wg} which gives rise to indirect Dark Matter (DM) signals explaining the recent cosmic-ray anomalies and links cosmic-ray signals of DM to LHC signals of a leptonic Higgs sector.The states ... More
Effective Mass Ratio & positive colossal magnetoresistance of a Nano-wireJun 19 2008In the present work, a relation has been established between degree of polarization and effective mass ratio (EMR) and magnetoresistance (MR) of one-dimensional non-degenerate system (which can represent a nano-wire or a linear chain of atoms and molecules ... More
Modeling and Control of CSTR using Model based Neural Network Predictive ControlAug 17 2012This paper presents a predictive control strategy based on neural network model of the plant is applied to Continuous Stirred Tank Reactor (CSTR). This system is a highly nonlinear process; therefore, a nonlinear predictive method, e.g., neural network ... More
Play and Prune: Adaptive Filter Pruning for Deep Model CompressionMay 11 2019While convolutional neural networks (CNN) have achieved impressive performance on various classification/recognition tasks, they typically consist of a massive number of parameters. This results in significant memory requirement as well as computational ... More
Generalized Zero-Shot Learning via Synthesized ExamplesDec 11 2017Jun 12 2018We present a generative framework for generalized zero-shot learning where the training and test classes are not necessarily disjoint. Built upon a variational autoencoder based architecture, consisting of a probabilistic encoder and a probabilistic conditional ... More
Variational Autoencoders for Sparse and Overdispersed Discrete DataMay 02 2019May 24 2019Many applications, such as text modelling, high-throughput sequencing, and recommender systems, require analysing sparse, high-dimensional, and overdispersed discrete (count-valued or binary) data. Although probabilistic matrix factorisation and linear/nonlinear ... More
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNsMar 11 2019We present a novel deep learning architecture in which the convolution operation leverages heterogeneous kernels. The proposed HetConv (Heterogeneous Kernel-Based Convolution) reduces the computation (FLOPs) and the number of parameters as compared to ... More
Deep Generative Models for Sparse, High-dimensional, and Overdispersed Discrete DataMay 02 2019Many applications, such as text modelling, high-throughput sequencing, and recommender systems, require analysing sparse, high-dimensional, and overdispersed discrete (count/binary) data. With the ability of handling high-dimensional and sparse discrete ... More
Earliness-Aware Deep Convolutional Networks for Early Time Series ClassificationNov 14 2016We present Earliness-Aware Deep Convolutional Networks (EA-ConvNets), an end-to-end deep learning framework, for early classification of time series data. Unlike most existing methods for early classification of time series data, that are designed to ... More
Flexible Modeling of Latent Task Structures in Multitask LearningJun 27 2012Multitask learning algorithms are typically designed assuming some fixed, a priori known latent structure shared by all the tasks. However, it is usually unclear what type of latent task structure is the most appropriate for a given multitask learning ... More
Leveraging Filter Correlations for Deep Model CompressionNov 26 2018We present a filter correlation based model compression approach for deep convolutional neural networks. Our approach iteratively identifies pairs of filters with largest pairwise correlations and discards one of the filters from each such pair. However, ... More
Generative Model for Zero-Shot Sketch-Based Image RetrievalApr 18 2019We present a probabilistic model for Sketch-Based Image Retrieval (SBIR) where, at retrieval time, we are given sketches from novel classes, that were not present at training time. Existing SBIR methods, most of which rely on learning class-wise correspondences ... More
Group-theoretical Structure of the Entangled States of N Identical ParticlesJun 23 2000We provide a group-theoretical classification of the entangled states of N identical particles. The connection between quantum entanglement and the exchange symmetry of the states of N identical particles is made explicit using the duality between the ... More
Entangled States of N Identical ParticlesMar 15 2000We explore the connection between quantum entanglement and the exchange symmetry of the states of N identical particles. Each particle has n-levels. The N particles span the nN dimensional Hilbert space. We shall call the general state of the particle ... More
Comparison of Entropies in the Light of SeparabilitySep 28 2002Oct 08 2002This paper has been withdrawn by the author(s) in the light of several other works available and due to a misunderstanding in the authorships.
Scalable Bayesian Non-Negative Tensor Factorization for Massive Count DataAug 18 2015We present a Bayesian non-negative tensor factorization model for count-valued tensor data, and develop scalable inference algorithms (both batch and online) for dealing with massive tensors. Our generative model can handle overdispersed counts as well ... More
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNsMar 11 2019Mar 25 2019We present a novel deep learning architecture in which the convolution operation leverages heterogeneous kernels. The proposed HetConv (Heterogeneous Kernel-Based Convolution) reduces the computation (FLOPs) and the number of parameters as compared to ... More
A Deep Generative Framework for Paraphrase GenerationSep 15 2017Paraphrase generation is an important problem in NLP, especially in question answering, information retrieval, information extraction, conversation systems, to name a few. In this paper, we address the problem of generating paraphrases automatically. ... More
Small-Variance Asymptotics for Nonparametric Bayesian Overlapping Stochastic BlockmodelsJul 10 2018The latent feature relational model (LFRM) is a generative model for graph-structured data to learn a binary vector representation for each node in the graph. The binary vector denotes the node's membership in one or more communities. At its core, the ... More
A Generative Framework for Zero-Shot Learning with Adversarial Domain AdaptationJun 07 2019In this paper, we present a domain adaptation based generative framework for Zero-Shot Learning. We explicitly target the problem of domain shift between the seen and unseen class distribution in Zero-Shot Learning (ZSL) and seek to minimize it by developing ... More
Optimal transport over nonlinear systems via infinitesimal generators on graphsDec 04 2016Apr 10 2018We present a set-oriented graph-based computational framework for continuous-time optimal transport over nonlinear dynamical systems. We recover provably optimal control laws for steering a given initial distribution in phase space to a final distribution ... More
Electroweak Baryogenesis and Dark Matter with an approximate R-symmetryJul 08 2011It is well known that R-symmetric models dramatically alleviate the SUSY flavor and CP problems. We study particular modifications of existing R-symmetric models which share the solution to the above problems, and have interesting consequences for electroweak ... More
Bounds on Minimum Number of Anchors for Iterative Localization and its Connections to Bootstrap PercolationMay 22 2012Iterated localization is considered where each node of a network needs to get localized (find its location on 2-D plane), when initially only a subset of nodes have their location information. The iterated localization process proceeds as follows. Starting ... More
Correlated Link Shadow Fading in Multi-hop Wireless NetworksApr 17 2008Apr 18 2008Accurate representation of the physical layer is required for analysis and simulation of multi-hop networking in sensor, ad hoc, and mesh networks. This paper investigates, models, and analyzes the correlations that exist in shadow fading between links ... More
Redimensioning of Euclidean SpacesJul 26 2013A vector space over a field $\mathbb{F}$ is a set $V$ together with two binary operations, called vector addition and scalar multiplication. It is standard practice to think of a Euclidean space $\mathbb{R}^n$ as an $n$-dimensional real coordinate space ... More
Dynamics on AdS2 and Enlargement of SL(2,R) to c=1 `cut-off Virasoro Algebra'Apr 17 2001We consider the enhancement of SL(2,R) to Virasoro algebra in a system of N particles on AdS2. We restrict our discussion to the case of non-interacting particles, and argue that they must be treated as fermions. We find operators L_n whose commutators ... More
Quantum de-mixing in binary mixtures of dipolar bosonsApr 26 2010Aug 31 2010Quantum Monte Carlo simulations of a two-component Bose mixture of trapped dipolar atoms of identical masses and dipole moments, provide numerical evidence of de-mixing at low finite temperatures. De-mixing occurs as a consequence of quantum statistics, ... More
Open source software and peer reviewAug 23 2003Sep 07 2003We compare the open source model of software development to peer review in academia.
Student Dropout Risk Assessment in Undergraduate Course at Residential UniversityMay 15 2014Student dropout prediction is an indispensable for numerous intelligent systems to measure the education system and success rate of any university as well as throughout the university in the world. Therefore, it becomes essential to develop efficient ... More
The spectrum of a random geometric graph is concentratedAug 09 2004Sep 23 2004Consider $n$ points distributed uniformly in $[0,1]^d$. Form a graph by connecting two points if their mutual distance is no greater than $r(n)$. This gives a random geometric graph, $\gnrn$, which is connected for appropriate $r(n)$. We show that the ... More
Leveraging Distributional Semantics for Multi-Label LearningSep 18 2017Nov 10 2017We present a novel and scalable label embedding framework for large-scale multi-label learning a.k.a ExMLDS (Extreme Multi-Label Learning using Distributional Semantics). Our approach draws inspiration from ideas rooted in distributional semantics, specifically ... More
Distributed Resource Allocation for Proportional Fairness in Multi-Band Wireless SystemsFeb 13 2011A challenging problem in multi-band multi-cell self-organized wireless systems, such as multi-channel Wi-Fi networks, femto/pico cells in 3G/4G cellular networks, and more recent wireless networks over TV white spaces, is of distributed resource allocation. ... More
Quantum Cyclic Code of length dividing $p^{t}+1$Nov 26 2010Mar 25 2011In this paper, we study cyclic stabiliser codes over $\mathbb{F}_p$ of length dividing $p^t+1$ for some positive integer $t$. We call these $t$-Frobenius codes or just Frobenius codes for short. We give methods to construct them and show that they have ... More
A Dynamic Bi-orthogonal Field Equation Approach for Efficient Bayesian Calibration of Large-Scale SystemsNov 01 2012Nov 13 2012This paper proposes a novel computationally efficient dynamic bi-orthogonality based approach for calibration of a computer simulator with high dimensional parametric and model structure uncertainty. The proposed method is based on a decomposition of ... More
Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional NetworksSep 12 2018Jun 04 2019Word embeddings have been widely adopted across several NLP applications. Most existing word embedding methods utilize sequential context of a word to learn its embedding. While there have been some attempts at utilizing syntactic context of a word, such ... More
A Generative Approach to Zero-Shot and Few-Shot Action RecognitionJan 27 2018We present a generative framework for zero-shot action recognition where some of the possible action classes do not occur in the training data. Our approach is based on modeling each action class using a probability distribution whose parameters are functions ... More
A new transformative framework for data assimilation and calibration of physical ionosphere-thermosphere modelsApr 08 2018Accurate specification and prediction of the ionosphere-thermosphere (IT) environment, driven by external forcing, is crucial to the space community. In this work, we present a new transformative framework for data assimilation and calibration of the ... More
Visible Sector Supersymmetry Breaking RevisitedJan 20 2004We revisit the possibility of "visible sector" SUSY models: models which are straightforward renormalizable extensions of the Minimal Supersymmetric Standard Model (MSSM), where SUSY is broken at tree level. Models of this type were abandoned twenty years ... More
Quantum Cyclic CodeJul 10 2010In this paper, we define and study \emph{quantum cyclic codes}, a generalisation of cyclic codes to the quantum setting. Previously studied examples of quantum cyclic codes were all quantum codes obtained from classical cyclic codes via the CSS construction. ... More
Representating groups on graphsApr 24 2009In this paper we formulate and study the problem of representing groups on graphs. We show that with respect to polynomial time turing reducibility, both abelian and solvable group representability are all equivalent to graph isomorphism, even when the ... More
Data-driven framework for real-time thermospheric density estimationAug 17 2018In this paper, we demonstrate a new data-driven framework for real-time neutral density estimation via model-data fusion in quasi-physical ionosphere-thermosphere models. The framework has two main components: (i) the development of a quasi-physical dynamic ... More
Father time. II. A physical basis behind Feynman's idea of antiparticles moving backward in time, and an extension of the CPT theorem to include non-local gauge fieldsJun 17 1999Oct 21 1999It has been demonstrated in a recent paper (Mod.Phys.Lett. A13, 1265 (1998); hep-th/9902020) that the existence of a non-thermodynamic arrow of time at the atomic level is a fundamental requirement for conservation of energy in matter-radiation interaction. ... More
Non-local Quantum Electrodynamics. II. Possibility of correlated 2n-photon absorption in gases leading to VERY High frequency spontaneous emission and Very high order Harmonic GenerationApr 19 2002In a recent work [Mod. Phys. Lett A13, p-1265 (1998)] we expounded a non-local Quantum Electrodynamics (QED) which predicted a linear two-photon absorption by an atom placed in a laser field of appropriate intensity and frequency. In this paper we extend ... More
A Model of Nonlocal Quantum Electrodynamics : Time's Arrow and EPR-like Quantum CorrelationFeb 02 1999A recent experiment with squeezed light has shown that two-photon absorption by an atom can occur with a linear intensity dependence. We point out that this result verifies a prediction made by us more than a decade ago from an analysis of a nonlocal ... More
Gravity and Domain Wall ProblemJan 15 1993It is well known that the spontaneous breaking of discrete symmetries may lead to conflict with big-bang cosmology. This is due to formation of domain walls which give unacceptable contribution to the energy density of the universe. On the other hand ... More
On the order of the Schur multiplier of $p$-groupsMay 06 2017We give a bound on the order of the Schur multiplier of $p$-groups refining earlier bounds. As an application we complete the classification of groups having Schur multiplier of maximum order. Finally we prove that the order of the Schur multiplier of ... More
Quantum uncertainties in coupled harmonic oscillatorOct 05 1995Jan 20 1996In this paper we analyze the quantum uncertainties and the photon statistics in the interaction between the two modes of radiation by treating them as coupled harmonic oscillator with the motivation of controlling quantum properties of one light beam ... More
Geometrical Representation of Angular Momentum Coherence and SqueezingDec 17 2000A simple, and elegant geometrical representation is developed to describe the concept of coherence and squeezing for angular momentum operators. Angular momentum squeezed states were obtained by applying Bogoliubov transformation on the angular momentum ... More
A Possible Anisotropy in Blackbody Radiation Viewed through Non-uniform Gaseous MatterMar 12 1999Jun 07 1999A non-local gauge symmetry of a complex scalar field, which can be trivially extended to spinor fields, was demonstrated in a recent paper (Mod.Phys.Lett. A13, 1265 (1998) ; hep-th/9902020). The corresponding covariant Lagrangian density yielded a new, ... More
A Technique for Designing Stabilizing Distributed Controllers with Arbitrary Signal Structure ConstraintsSep 15 2012This paper presents a new approach to distributed controller design that exploits a partial-structure representation of linear time invariant systems to characterize the structure of a system. This partial-structure representation, called the dynamical ... More
Forward-Backward Asymmetry in $B\to X_d e^+e^-$Jun 10 1997The Forward-backward asymmetry in the angular distribution of $e^+e^-$ is studied in the process $B\to e^+e^- and \bar{B}\to \bar{X}_d e^+e^-$ . The possibility of observing CP violation through the asymmetries in these two processes is examined.
Squeezing in the interaction of radiation with two-level atomsSep 25 1995Oct 05 1995We propose a simple experimental procedure to produce squeezing and other non-classical properties like photon antibunching of radiation, and amplification without population inversion. The method also decreases the uncertainties of the angular-momentum ... More
Father Time. I. Does the Cosmic Microwave Background Radiation Provide a Universal Arrow of Time ?Mar 15 1999Oct 21 1999The existence of a non-thermodynamic arrow of time was demonstrated in a recent paper (Mod.Phys.Lett. A13, 1265 (1998)), in which a model of non-local Quantum Electrodynamics was formulated through the principle of gauge invariance. In this paper we show ... More
Associated Photons and New Physics Signals at Linear CollidersFeb 15 2008We study signals for beyond standard model physics and consider the virtues of single photon signals or associated photons in the final states in identifying different scenarios of new physics models in a very efficient and novel way.
Identifying new physics contributions in the Higgs sector at linear e+e- collidersAug 10 2006Loop driven decay modes of the Higgs are sensitive to new physics contributions because of new particles in the loops. To highlight this we look at the dilepton-dijet signal in the dominant Higgs production channel at a linear e+e- collider. We show that ... More
The golden age of Calcutta physics: Difficulties in reconstructing the historyDec 08 2016Classes started in the newly established Physics Department of Calcutta University Science College in 1916. Raman, Bose and Saha were three young members of the small physics faculty consisting of barely half a dozen faculty members. Within about one ... More
Starspots, Stellar Cycles and Stellar Flares: Lessons from Solar Dynamo ModelsDec 08 2016In this review, we discuss whether the present solar dynamo models can be extrapolated to explain various aspects of stellar activity. We begin with a summary of the following kinds of data for solar-like stars: (i) data pertaining to stellar cycles from ... More
A higher order numerical scheme for singularly perturbed parabolic turning point problems exhibiting twin boundary layersMay 08 2019In this article, a parameter-uniform numerical method is presented to solve one-dimensional singularly perturbed parabolic convection-diffusion turning point problem exhibiting two exponential boundary layers. We study the asymptotic behaviour of the ... More
Robust numerical schemes for singularly perturbed delay parabolic convection diffusion problems with degenerate coefficientMay 08 2019This article studies a dirichlet boundary value problem for singularly perturbed time delay convection diffusion equation with degenerate coefficient. A priori explicit bounds are established on the solution and its derivatives. For asymptotic analysis ... More
A note on the order of the Schur multiplier of p-groupsJun 05 2016Let $G$ be a finite $p$-group of order $p^n$ with $|G'| = p^k$. Let $M(G)$ denotes the Schur multiplier of $G$. A classical result of Green states that $|M(G)| \leq p^{\frac{1}{2}n(n-1)}$. In 2009, Niroomand, improving Green's and other bounds on $|M(G)|$ ... More
Topology Discovery Using Path InterferenceMar 17 2019We consider the problem of inferring the topology of a network using the measurements available at the end nodes, without cooperation from the internal nodes. To this end, we provide a simple method to obtain path interference which identifies whether ... More
Strong Quantum Solutions in Conflicting Interest Bayesian GamesMay 12 2017Nov 16 2017Quantum entanglement has been recently demonstrated as a useful resource in conflicting interest games of incomplete information between two players, Alice and Bob [Pappa et al., Phys. Rev. Lett. 114, 020401 (2015)]. General setting for such games is ... More
On the dimension of the Schur multiplier of nilpotent Lie algberasMay 09 2017We give a bound on the dimension of the Schur multiplier of a finite dimensional nilpotent Lie algebra which sharpens the earlier known bounds.
An Approach to Provide Security in Mobile Ad-Hoc Networks Using Counter Mode of Encryption on Mac LayerOct 15 2011Security in any of the networks became an important issue in this paper we have implemented a security mechanism on Medium Access Control layer by Assured Neighbor based Security Protocol to provide authentication and confidentiality of packets along ... More
Generation of Pseudo Code from the Python Source Code using Rule-Based Machine TranslationJun 14 2019Jun 18 2019Pseudo code is one of the valuable artifacts to comprehending the complex program codes. Most of the source code still has no equivalent pseudo code, due to the time-consuming process of writing pseudo codes. In this work, we have developed an approach ... More
Zero-Shot Learning via Class-Conditioned Deep Generative ModelsNov 15 2017Nov 19 2017We present a deep generative model for learning to predict classes not seen at training time. Unlike most existing methods for this problem, that represent each class as a point (via a semantic embedding), we represent each seen/unseen class using a class-specific ... More
Effects of Universal Extra Dimensions on Higgs signals at LHCOct 26 2005Nov 21 2007A major focus at the Large Hadron Collider (LHC) will be Higgs boson studies and it would be an interesting prospect to simultaneously probe for physics beyond the Standard Model (SM) in the Higgs signals. In this work we show as to what extent, the effects ... More
Fermionic spectrum from a domain wall in five dimensionsApr 12 2019We study fermions in a domain wall backgrounds in five dimensional supergravity, which is similar to zero temperature limit of holographic superconductor. We find the fermionic operators for small charges in the dual four dimensional theory have gapped ... More
Citizens' Emotion on GST: A Spatio-Temporal Analysis over Twitter DataJun 20 2019People might not be close-at-hand but they still are - by virtue of the social network. The social network has transformed lives in many ways. People can express their views, opinions and life experiences on various platforms be it Twitter, Facebook or ... More
Tilted Bianchi Type V Bulk Viscous Cosmological Models in General RelativityJul 10 2003Conformally flat tilted Bianchi type V cosmological models in presence of a bulk viscous fluid and heat flow are investigated. The coefficient of bulk viscosity is assumed to be a power function of mass density. Some physical and geometric aspects of ... More
Tilted Bianchi Type I Cosmological Models Filled with Disordered Radiation in General Relativity RevisitedDec 26 2002Tilted Bianchi type I cosmological models filled with disordered radiation in presence of a bulk viscous fluid and heat flow are investigated. The coefficient of bulk viscosity is assumed to be a power function of mass density. Some physical and geometric ... More
A deterministic algorithm for counting colorings with $2Δ$ colorsJun 04 2019Jun 06 2019We give a polynomial time deterministic approximation algorithm (an FPTAS) for counting the number of $q$-colorings of a graph of maximum degree $\Delta$, provided only that $q\ge 2\Delta$. This substantially improves on previous deterministic algorithms ... More
On the Scaling of Interference Alignment Under Delay and Power ConstraintsApr 13 2015Future wireless standards such as 5G envision dense wireless networks with large number of simultaneously connected devices. In this context, interference management becomes critical in achieving high spectral efficiency. Orthogonal signaling, which limits ... More
When is a Function Securely Computable?Jul 17 2010A subset of a set of terminals that observe correlated signals seek to compute a given function of the signals using public communication. It is required that the value of the function be kept secret from an eavesdropper with access to the communication. ... More
Concentration banding instability of a sheared bacterial suspensionAug 23 2018We demonstrate a novel shear-induced mechanism for growth of concentration fluctuations in a bacterial suspension. Using a linear stability analysis, a homogeneously sheared suspension is shown to support exponentially growing layering perturbations in ... More
LHC String PhenomenologyOct 03 2006Jun 05 2007We argue that it is possible to address the deeper LHC Inverse Problem, to gain insight into the underlying theory from LHC signatures of new physics. We propose a technique which may allow us to distinguish among, and favor or disfavor, various classes ... More
Nonmonotonic crossover and scaling behaviors in a disordered 1D quasicrystalSep 17 2018Jan 17 2019We consider a noninteracting disordered 1D quasicrystal in the weak disorder regime. We show that the critical states of the pure model approach strong localization in strikingly different ways, depending on their renormalization properties. A finite ... More
Temperature Control using Fuzzy LogicFeb 15 2014The aim of the temperature control is to heat the system up todelimitated temperature, afterwardhold it at that temperature in insured manner. Fuzzy Logic Controller (FLC) is best way in which this type of precision control can be accomplished by controller. ... More
Towards a Queueing-Based Framework for In-Network Function ComputationMay 27 2011Jun 22 2012We seek to develop network algorithms for function computation in sensor networks. Specifically, we want dynamic joint aggregation, routing, and scheduling algorithms that have analytically provable performance benefits due to in-network computation as ... More
A mean-field game model for homogeneous flockingMar 14 2018May 29 2018Empirically derived continuum models of collective behavior among large populations of dynamic agents are a subject of intense study in several fields, including biology, engineering and finance. We formulate and study a mean-field game model whose behavior ... More
On the observation of nonclassical excitations in Bose-Einstein condensatesJan 25 2016In the recent experimental and theoretical literature well-established nonclassicality criteria from the field of quantum optics have been directly applied to the case of excitations in matter-waves. Among these are violations of Cauchy-Schwarz inequalities, ... More
Model-free control framework for multi-limb soft robotsSep 19 2015The deformable and continuum nature of soft robots promises versatility and adaptability. However, control of modular, multi-limbed soft robots for terrestrial locomotion is challenging due to the complex robot structure, actuator mechanics and robot-environment ... More
Compactified String Theories -- Generic Predictions for Particle PhysicsApr 12 2012In recent years it has been realized that in string/$M$ theories compactified to four dimensions which satisfy cosmological constraints, it is possible to make some generic predictions for particle physics and dark matter: a non-thermal cosmological history ... More
Energy-Efficient Communication in the Presence of Synchronization ErrorsJan 28 2013Aug 24 2015Communication systems are traditionally designed to have tight transmitter-receiver synchronization. This requirement has negligible overhead in the high-SNR regime. However, in many applications, such as wireless sensor networks, communication needs ... More
Information-Theoretic Bounds for Multiround Function Computation in Collocated NetworksJan 15 2009Jan 28 2009We study the limits of communication efficiency for function computation in collocated networks within the framework of multi-terminal block source coding theory. With the goal of computing a desired function of sources at a sink, nodes interact with ... More
A deterministic algorithm for counting colorings with $2Δ$ colorsJun 04 2019Jun 21 2019We give a polynomial time deterministic approximation algorithm (an FPTAS) for counting the number of $q$-colorings of a graph of maximum degree $\Delta$, provided only that $q\ge 2\Delta$. This substantially improves on previous deterministic algorithms ... More
An M Theory Solution to the Strong CP Problem and Constraints on the AxiverseApr 28 2010Oct 31 2010We give an explicit realization of the "String Axiverse" discussed in Arvanitaki et. al \cite{Arvanitaki:2009fg} by extending our previous results on moduli stabilization in $M$ theory to include axions. We extend the analysis of \cite{Arvanitaki:2009fg} ... More
S and T for SCFTsDec 12 2012We develop a general set of methods for computing the oblique electroweak parameters S and T for bottom-up and top-down motivated scenarios in which the Higgs weakly mixes with a superconformal extra sector. In addition to their utility in phenomenological ... More
Unravelling Strings at the LHCSep 26 2007We construct LHC signature footprints for four semi-realistic string/$M$ theory vacua with an MSSM visible sector. We find that they all give rise to limited regions in LHC signature space, and are qualitatively different from each other for understandable ... More