Relevant bibliographies by topics / Latent Bottleneck Model

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  2. Dissertations / Theses
  3. Conference papers

Academic literature on the topic 'Latent Bottleneck Model'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Latent Bottleneck Model"

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Wieczorek, Aleksander, and Volker Roth. "On the Difference between the Information Bottleneck and the Deep Information Bottleneck." Entropy 22, no. 2 (2020): 131. http://dx.doi.org/10.3390/e22020131.

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Combining the information bottleneck model with deep learning by replacing mutual information terms with deep neural nets has proven successful in areas ranging from generative modelling to interpreting deep neural networks. In this paper, we revisit the deep variational information bottleneck and the assumptions needed for its derivation. The two assumed properties of the data, X and Y, and their latent representation T, take the form of two Markov chains T − X − Y and X − T − Y . Requiring both to hold during the optimisation process can be limiting for the set of potential joint distributio
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Voloshynovskiy, Slava, Olga Taran, Mouad Kondah, Taras Holotyak, and Danilo Rezende. "Variational Information Bottleneck for Semi-Supervised Classification." Entropy 22, no. 9 (2020): 943. http://dx.doi.org/10.3390/e22090943.

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In this paper, we consider an information bottleneck (IB) framework for semi-supervised classification with several families of priors on latent space representation. We apply a variational decomposition of mutual information terms of IB. Using this decomposition we perform an analysis of several regularizers and practically demonstrate an impact of different components of variational model on the classification accuracy. We propose a new formulation of semi-supervised IB with hand crafted and learnable priors and link it to the previous methods such as semi-supervised versions of VAE (M1 + M2
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Li, Qing Feng. "Research on Latent Factor Model and its Optimization Algorithms of Machine Learning." Applied Mechanics and Materials 734 (February 2015): 495–98. http://dx.doi.org/10.4028/www.scientific.net/amm.734.495.

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There are some bottleneck problems in the supervised machine learning and unsupervised machine learning. In view of the current problems, this paper tries to make some meaningful exploration. The main work is as follows: Research on the statistical analysis of factor analysis and latent variable and in some valuable research results of typical machine learning, and some no analysis method and factor analysis of supervised learning or hidden variables method to contact with the typical analysis, summary of the comprehensive characteristics of implicit factor model and to reveal the hiding data
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Uğur, Yiğit, George Arvanitakis, and Abdellatif Zaidi. "Variational Information Bottleneck for Unsupervised Clustering: Deep Gaussian Mixture Embedding." Entropy 22, no. 2 (2020): 213. http://dx.doi.org/10.3390/e22020213.

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In this paper, we develop an unsupervised generative clustering framework that combines the variational information bottleneck and the Gaussian mixture model. Specifically, in our approach, we use the variational information bottleneck method and model the latent space as a mixture of Gaussians. We derive a bound on the cost function of our model that generalizes the Evidence Lower Bound (ELBO) and provide a variational inference type algorithm that allows computing it. In the algorithm, the coders’ mappings are parametrized using neural networks, and the bound is approximated by Markov sampli
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XING, Jian, Junji USAMI, Kenichi FUKUSHIMA, and Hisanaga SATO. "Estimation of Latent Bottleneck Capacity of Expressways and Application of Probabilistic Capacity Model to Whole Year Congestion Prediction." INFRASTRUCTURE PLANNING REVIEW 27 (2010): 973–81. http://dx.doi.org/10.2208/journalip.27.973.

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Ferreira, Pedro M., Diogo Pernes, Ana Rebelo, and Jaime S. Cardoso. "Signer-Independent Sign Language Recognition with Adversarial Neural Networks." International Journal of Machine Learning and Computing 11, no. 2 (2021): 121–29. http://dx.doi.org/10.18178/ijmlc.2021.11.2.1024.

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Sign Language Recognition (SLR) has become an appealing topic in modern societies because such technology can ideally be used to bridge the gap between deaf and hearing people. Although important steps have been made towards the development of real-world SLR systems, signer-independent SLR is still one of the bottleneck problems of this research field. In this regard, we propose a deep neural network along with an adversarial training objective, specifically designed to address the signer-independent problem. Specifically, the proposed model consists of an encoder, mapping from input images to
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Jones, Bradley R., Natalie N. Kinloch, Joshua Horacsek, et al. "Phylogenetic approach to recover integration dates of latent HIV sequences within-host." Proceedings of the National Academy of Sciences 115, no. 38 (2018): E8958—E8967. http://dx.doi.org/10.1073/pnas.1802028115.

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Given that HIV evolution and latent reservoir establishment occur continually within-host, and that latently infected cells can persist long-term, the HIV reservoir should comprise a genetically heterogeneous archive recapitulating within-host HIV evolution. However, this has yet to be conclusively demonstrated, in part due to the challenges of reconstructing within-host reservoir establishment dynamics over long timescales. We developed a phylogenetic framework to reconstruct the integration dates of individual latent HIV lineages. The framework first involves inference and rooting of a maxim
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Kundu, Jogendra Nath, Siddharth Seth, Rahul M V, Mugalodi Rakesh, Venkatesh Babu Radhakrishnan, and Anirban Chakraborty. "Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (2020): 11312–19. http://dx.doi.org/10.1609/aaai.v34i07.6792.

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Estimation of 3D human pose from monocular image has gained considerable attention, as a key step to several human-centric applications. However, generalizability of human pose estimation models developed using supervision on large-scale in-studio datasets remains questionable, as these models often perform unsatisfactorily on unseen in-the-wild environments. Though weakly-supervised models have been proposed to address this shortcoming, performance of such models relies on availability of paired supervision on some related task, such as 2D pose or multi-view image pairs. In contrast, we propo
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Nguyen, Thanh Tang, and Jaesik Choi. "Markov Information Bottleneck to Improve Information Flow in Stochastic Neural Networks." Entropy 21, no. 10 (2019): 976. http://dx.doi.org/10.3390/e21100976.

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While rate distortion theory compresses data under a distortion constraint, information bottleneck (IB) generalizes rate distortion theory to learning problems by replacing a distortion constraint with a constraint of relevant information. In this work, we further extend IB to multiple Markov bottlenecks (i.e., latent variables that form a Markov chain), namely Markov information bottleneck (MIB), which particularly fits better in the context of stochastic neural networks (SNNs) than the original IB. We show that Markov bottlenecks cannot simultaneously achieve their information optimality in
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Shao, Bilin, Xingxuan Du, and Qinlong Ren. "Numerical Investigation of Energy Saving Characteristic in Building Roof Coupled with PCM Using Lattice Boltzmann Method with Economic Analysis." Applied Sciences 8, no. 10 (2018): 1739. http://dx.doi.org/10.3390/app8101739.

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Due to their characteristics of high energy storage density and a nearly constant melting temperature, phase change materials (PCMs) could be inserted into the roof of green buildings in order to reduce the energy consumption and ameliorate the room thermal comfort. In this paper, an enthalpy based multiple-relaxation-time (MRT) lattice Boltzmann method (LBM) was developed to calculate the transient phase change conjugate heat transfer with solar radiation inside the green building’s PCM roof in the hot summer and cold winter areas of China. The effect of the PCM melting temperature on the var
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Dissertations / Theses on the topic "Latent Bottleneck Model"

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Strobach, Tilo. "On the mechanisms improving dual-task performance with pratice." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2010. http://dx.doi.org/10.18452/16053.

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Zahlreiche Studien belegen, dass Menschen Schwierigkeiten bei der simultanen Ausführung von 2 Aufgaben haben. Diese Schwierigkeiten sind durch zusätzliche Leistungskosten in Doppelaufgabensituationen im Vergleich zu Einzelaufgabensituationen gekennzeichnet (d.h. Doppelaufgabenkosten). Allerdings konnten jüngere Studien eine deutliche Reduktion der Doppelaufgabenkosten am Ende von Übung zeigen. Der Befund von Doppelaufgabenkosten am Beginn und die deutliche Reduktion davon am Ende der Übung indiziert, dass diese Reduktion durch spezifische Lernmechanismen geleistet wird. Obwohl sich frühere Stu
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Conference papers on the topic "Latent Bottleneck Model"

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Lisienkova, T. S., and E. A. Isaev. "Analysis of business processes of agricultural enterprises for the implementation of IT innovations." In CURRENT STATE, PROBLEMS AND PROSPECTS OF THE DEVELOPMENT OF AGRARIAN SCIENCE. Federal State Budget Scientific Institution “Research Institute of Agriculture of Crimea”, 2020. http://dx.doi.org/10.33952/2542-0720-2020-5-9-10-135.

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This article touches upon digital transformation in agriculture. Firstly, classification of core business processes of agriculture is presented with examples of primary and support business processes at animal breeding farms. Later the article gives an overview of innovative information technologies used nowadays in agriculture worldwide. Finally, it is justified that for the successful digital transformation it is vital to evaluate current IT-maturity level of business processes in order to fix their “bottlenecks” before the implementation of innovative information technologies. While common
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Lucas Alba, Antonio, María Teresa Blanch Micó, Teresa Bellés Rivera, et al. "CAR FOLLOWING TECHNIQUES: THE ROLE OF THE HUMAN FACTOR RECONSIDERED." In CIT2016. Congreso de Ingeniería del Transporte. Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/cit2016.2016.3341.

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Engineering and psychophysiological car following models emerge in the late 1950s (Saifuzzaman & Zheng, 2014). Such models differ in their ground concepts and explanatory mechanisms, but both assume a fundamental tenet: following each other, drivers invariably attempt to couple, keeping safety distance. More recent models focus on the spontaneous emergence of traffic jams that results from the properties of a system of interacting vehicles (i.e., without bottlenecks). In an experimental setting Sugiyama et al., (2008) have successfully recreated the conditions that allow the observatio
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Chen, Xuedong, Bing Wang, Zhibin Ai, Tiecheng Yang, Wangping Gu, and Chuanqing Cheng. "Design and Manufacture of Pressure-Bearing Equipment Based on Risk and Life Analysis." In ASME 2008 Pressure Vessels and Piping Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/pvp2008-61322.

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Since the turn of the 21st century, the technical means for engineering risk analysis for safety assurance of in-service equipment such as risk-based inspection (RBI), reliability-centered maintenance (RCM) and safety integrity level (SIL) etc. have been extensively applied in Chinese petrochemical enterprises, and good effect has been achieved. However, it is found that most of the causes for accidents or failures are due to unreasonable design and manufacture, or deviation of design and manufacture requirements from the requirements for service environment. The existing design standards and
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