2,756 research outputs found
Hyperauthorship in Mikhail Bakhtin: The Primary Author and Conceptual Personae
No full textThis article explores the phemenon of hyperauthorship in intellectual writing: a primary author (hyperauthor) creates a number of secondary authors (hypoauthors), and develops possible conceptual systems on their behalf. The case under consideration is Mikhail Bakhtin and his complex relationship with his friends Pavel Medvedev and Valentin Voloshinov, members of the so called "Bakhtin's circle" (in the 1920s) who are credited with authorship of several books which may have been actually written by Bakhtin himself. Still unclear from biographical and historical perspectives, this problem of authentic attribution of Medvedev's and Voloshinov's texts can be clarified in the theoretical framework of "hyperauthorship" and "possibilistic thinking." This article applies Bakhtin's own theory of the "primary author immersed in silence," as well as Deleuze and Guattari's notion of "conceptual personae," to explain this case of "shared," or "transferred" authorship. The figures of Voloshinov and Medvedev, though historically real, may be viewed as Bakhtin's projections of "ideal," or "utopian" Marxism in linguistics and literary theory
What are the implications of Curriculum Learning strategy on IRL methods?: Investigating Inverse Reinforcement Learning from Human Behavior
No full textInverse Reinforcement Learning (IRL) is a subfield of Reinforcement Learning (RL) that focuses on recovering the reward function using expert demonstrations. In the field of IRL, Adversarial IRL (AIRL) is a promising algorithm that is postulated to recover non-linear rewards in environments with unknown dynamics. This study investigates the potential benefits of applying the Curriculum Learning (CL) strategy to the AIRL algorithm. For our experiments, we use a randomized partially observable Markov decision process in the form of a grid-world-like environment. Using only expert demonstrations obtained with an RL algorithm under the true reward function, we train AIRL in a variety of configurations and identify an effective curriculum. Our results show, that a well-constructed curriculum can enhance the performance of AIRL twofold in both key aspects: the speed of convergence and the efficiency of using expert demonstrations. We thus conclude that CL can be a useful addition to an AIRL-based solution. Full code is available online in the supplementary material https://github.com/mikhail-vlasenko/curriculum-learning-IRL.CSE3000 Research ProjectComputer Science and Engineerin
Practical and efficient incremental adaptive routing for HyperX networks
No full textIn efforts to increase performance and reduce cost, modern low-diameter networks are designed for average case traffic and rely on non-minimal adaptive routing for network load-balancing when adversarial traffic patterns are encountered. Source adaptive routing is the predominant method for adaptive routing even though it presents many deficiencies related to making global decisions based solely on local information. In contrast, incremental adaptive routing, which performs an adaptive decision at every hop, is able to increase throughput and reduce latency by overcoming the deficiencies of source adaptive routing. We present two incremental adaptive routing algorithms for HyperX which are the first to be fully implementable in modern high-radix router architectures and interconnection network protocols. Using cycle accurate simulations of a 4,096 node network, our evaluation shows these algorithms are able to exceed the performance of prior work by as much as 4x with synthetic traffic and 25% with 27-point stencil traffic
Super-resolution reconstruction from truncated Fourier transform
No full textInternational audienceWe present recent theoretical and numerical results on recovering a compactly supported function v on R^d, d ≥ 1, from its Fourier transform Fv given within the ball B_r. We proceed from known results on the prolate spheroidal wave functions and on the Radon transform. The most interesting point of our numerical examples consists in super-resolution, that is, in recovering details beyond the diffraction limit, that is, details of size less than pi/r, where r is the radius of the ball mentioned above.This short review is based on the works Isaev, Novikov (2022 J. Math. Pures Appl. 163 318–333) and Isaev, Novikov, Sabinin (2022 Inverse Problems 38 105002)
SuperSim: Extensible Flit-Level Simulation of Large-Scale Interconnection Networks
No full textThe interconnection networks of modern large-scale computing systems are quickly increasing in size and complexity to keep up with the demand for computing capability. These systems rely heavily on complex router microarchitectures and intelligent adaptive routing algorithms structured for cost-optimized low-diameter networks. These technologies need to be properly modeled and evaluated during design space exploration and for performance characterization of the system.
We present SuperSim, an open-source flit-level interconnection network simulator that enables focused evaluation of issues related to designing and deploying large-scale high-performance networks. SuperSim is a programmer-centric simulation framework explicitly designed to be flexibly extended and is supported by a number of tools making it easy to use and allowing users to model systems quickly. In this work we show the results for simulation case studies demonstrating the power of SuperSim to uncover otherwise overlooked details in large-scale interconnection networks
Mikhail Isaev
No full textExponential instability in the Gel’fand inverse problem on the energy interval
The importance of marketing in the music industry
No full textAuthor: Ekimov Mikhail
Title of the Publication: The importance of marketing in the music industry
Degree Title: Bachelor of International Business
Keywords: Marketing, music industry, metal music, Behemoth
This thesis is a study, analysis, and development of marketing campaigns for aspiring musicians
The thesis will begin with a theory that includes the basic concepts, features, and concepts of marketing in the music industry. Next, the stages of the marketing campaigns of the successful band Behemoth will be reviewed and analyzed. Based on this analysis, it will be possible to under-stand exactly what actions made the band Behemoth successful. Next, a marketing strategy will be created for a budding and not very popular band, The Nomad. For this purpose, the musician of this band will be interviewed, on the basis of which the main marketing problems of the band and the direction of new strategies will be revealed. At the end of the work the main marketing cam-paigns for the development of the marketing strategy of the band at this stage will be made and their effectiveness will be evaluated.
The main goal: to develop marketing strategies for aspiring music groups in the music industry.
The main tasks: Learn the concepts, principles, and functions of marketing in the music industry and how to use them to create own marketing strategies
Muriel Spark as auto-biographer in <i>Curriculum</i> <i>Vitae</i>
No full textExamining Muriel Spark's main aims as an auto-biographer in her work Curriculum Vitae brings important resources in the exploration of the genre of autobiographical writing. This with the theoretical engagement, allows consideration of the critical issues surrounding the roles of author and reader in the construction of the literary self. Spark demands the reader participate in the constructon of textual meaning; overturning the conventions of autobiography, satirising its claims to omniscience and highlighting the impossibility of an authentic voice with regard to the self
Complex martingales and asymptotic enumeration
No full textMany enumeration problems in combinatorics, including such fundamental questions as the number of regular graphs, can be expressed as high-dimensional complex integrals. Motivated by the need for a systematic study of the asymptotic behavior of such integrals, we establish explicit bounds on the exponentials of complex martingales. Those bounds applied to the case of truncated normal distributions are precise enough to include and extend many enumerative results of Barvinok, Canfield, Gao, Greenhill, Hartigan, Isaev, McKay, Wang, Wormald, and others. Our method applies to sums as well as integrals. As a first illustration of the power of our theory, we considerably strengthen existing results on the relationship between random graphs or bipartite graphs with specified degrees and the so-called β-model of random graphs with independent edges, which is equivalent to the Rasch model in the bipartite case.Australian Reaserch Council (to M.I. andB.D.M.
To Act and Learn: A Bakhtinian Exploration of Action Learning
No full textThis paper considers the work of the Russian social philosopher and cultural theorist, Mikhail Mikhailovich Bakhtin as a source of understanding for those involved in action learning. Drawing upon data gathered over two years during the evaluation of 20 action learning sets in the north of England, we will seek to work with the ideas of Bakhtin to consider their value for those involved in action learning. We consider key Bakhtin features such as Making Meaning, Participative Thinking, Theoreticism and Presence, Others and Outsideness, Voices and Carnival to highlight how Bakhtin's can enhance our understanding of the nature of action and learning
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