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Maximum Entropy Generators for Energy-Based Models [article]

Rithesh Kumar, Sherjil Ozair, Anirudh Goyal, Aaron Courville, Yoshua Bengio
2019 arXiv   pre-print
Maximum likelihood estimation of energy-based models is a challenging problem due to the intractability of the log-likelihood gradient.  ...  The resulting objective requires maximizing entropy of the generated samples, which we perform using recently proposed nonparametric mutual information estimators.  ...  We also thank NVIDIA for donating a DGX-1 computer used for certain experiments in this work.  ... 
arXiv:1901.08508v2 fatcat:llwr2536rnexrffys2ji3jn4nu

Analysis of Energy Utilization and Losses for Jet-Propelled Vehicles

Mohammad Abbas, David W. Riggins
2021 Aerospace (Basel)  
Example energy utilization results obtained for a modeled turbojet engine in off-design operation are provided; wake and engine component entropy generation characteristics are directly related to engine  ...  The global control volume-based energy utilization balance for an aerospace vehicle is extended to allow for the analysis of jet-propelled vehicles.  ...  Entropy generation and energy utilization that are experienced by a vehicle in cruise are next formulated, utilizing the airframe drag model, with a focus on the flight conditions corresponding to maximum  ... 
doi:10.3390/aerospace8110342 fatcat:23zvhrwcuzbgjp4ehkgkvr3zji

Energy and Entropy Analyses of a Pilot-Scale Dual Heating HDH Desalination System

Dahiru U. Lawal, Saad Abdul Jawad, Mostafa H. Sharqawy, Mohamed A. Antar
2021 Entropy  
As a first step, mathematical code was developed based on heat and mass transfer and entropy generation within the major components of the system.  ...  This study focuses on energy and entropy analysis to theoretically investigate the performance of a pilot scale dual heated humidification-dehumidification (HDH) desalination system.  ...  Thereafter, second law analysis is performed based on the developed theoretical model to assess the entropy generation on the major components of the system.  ... 
doi:10.3390/e23101282 pmid:34682006 fatcat:dekqvl2yanf23idzu657xu4ojy

Global Quantitative Modeling of Chromatin Factor Interactions

Jian Zhou, Olga G. Troyanskaya, Andrey Rzhetsky
2014 PLoS Computational Biology  
Our model ultilizes maximum entropy modeling with regularization-based structure learning to statistically dissect dependencies between chromatin factors and produce an accurate probability distribution  ...  The model can also serve as an inference engine for predicting unknown chromatin profiles -we demonstrated that with this approach we can leverage data from well-characterized cell types to help understand  ...  Acknowledgments The authors would like to thank other members of the Troyanskaya lab for valuable feedback, and John Wiggins for computational hardware support. Author Contributions  ... 
doi:10.1371/journal.pcbi.1003525 pmid:24675896 pmcid:PMC3967939 fatcat:tfmemhtwk5czdeflr6lpekiejm

Analysis of Heat Transfer and Entropy Generation of TiO2-Water Nanofluid Flow in a Pipe under Transition

Goutam Saha, Manosh C. Paul
2015 Procedia Engineering  
Also no optimal Reynolds has been observed which could minimise the total entropy generation.  ...  Results reveal that the small diameter of nanoparticles has the highest heat transfer rate for χ = 6% and the TiO 2 -water nanofluid shows higher heat transfer rate using multi-phase model compared to  ...  ) (4) (5) (6) (7) The equations for the kinetic energy ( ) and specific dissipation rate of kinetic energy ( ) used in the SST model are given by [19] (8) The total entropy generation equation for a  ... 
doi:10.1016/j.proeng.2015.05.023 fatcat:q45dh556pfd5pe27fjxrzr6eha

A Simple Probabilistic Model to Estimate the Population of near-Earth Asteroids

G D'Abramo
2001 Icarus (New York, N.Y. 1962)  
This phenomenon can occur for the Earth by transferring the solar energy from the sun to the earth. The process of entropy generation of the Earth is an important concept for the life of the earth.  ...  Based upon this calculation, the rate of entropy generation of the earth and its surrounding atmosphere is 6.5149 × 10 14 ⁄ .  ...  The comparison of some important models for computing the earth's entropy generation was also carried out [30] .  ... 
doi:10.1006/icar.2001.6650 fatcat:wyw23j7bujeqjoxp2eai5qdf5i

Audio classification based on maximum entropy model

Zhe Feng, Yaqian Zhou, Lide Wu, Zongge Li
2003 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)  
In this paper, we present a novel audio classification method based on Maximum Entropy Model.  ...  Audio Classification has been investigated for several years. It is one of the key components in audio and video applications.  ...  In this paper, a novel audio classification methods based on maximum entropy model are presented.  ... 
doi:10.1109/icme.2003.1221025 dblp:conf/icmcs/FengZWL03 fatcat:flturkgwkngb5jg7lfja3crkpi

An Analysis of the Effect of Renewable Energies on Spanish Electricity Market Efficiency [chapter]

Blanca Moreno, Mara Teresa
2012 Modeling and Optimization of Renewable Energy Systems  
A general maximum entropy model with a reparametrized error is considered.  ...  information from underdetermined models, and the Generalized Maximum Entropy Theory (Golan et al., 1996) .  ...  An Analysis of the Effect of Renewable Energies on Spanish Electricity Market Efficiency, Modeling and Optimization of Renewable Energy Systems, Dr.  ... 
doi:10.5772/38532 fatcat:uelows2s3revbnaq7wkewkqkzi


2019 Journal of Physics, Conference Series  
By CGA based procedural modeling and Python Script of CityEngine, the smart house can be automatically generated and their energy consumption can be exported automatically as a excel file for planning  ...  By monitoring energy consumption using HEMS, households could manage their energy demand based on their living behavior for energy saving.  ...  It based on forensic data and information retrieval, for trusty information is generated.  ... 
doi:10.1088/1742-6596/1235/1/011002 fatcat:lrsu572twzeg3kpnfaotsy6s2i

Entanglement entropy and computational complexity of the Anderson impurity model out of equilibrium II: driven dynamics [article]

Zhuoran He, Andrew J. Millis
2019 arXiv   pre-print
We study the growth of entanglement entropy and bond dimension with time in density matrix renormalization group simulations of the periodically driven single-impurity Anderson model.  ...  Reordering the bath orbitals in the matrix product state by their Floquet quasi-energy is found to reduce the exponential growth rate of the computation time at intermediate driving periods, suggesting  ...  Acknowledgments: This research is supported by the Department of Energy under grant de-sc0012375.  ... 
arXiv:1902.05664v1 fatcat:2r2jxsb6izeodpaefjhlonjpza

Model Based Planning with Energy Based Models [article]

Yilun Du, Toru Lin, Igor Mordatch
2021 arXiv   pre-print
We show that energy-based models (EBMs) are a promising class of models to use for model-based planning.  ...  We further show that EBMs support maximum entropy state inference and are able to generate diverse state space plans.  ...  Inference over the graphical model can be seen as maximum entropy reinforcement learning (see [9] for a review).  ... 
arXiv:1909.06878v2 fatcat:p5mtmdc6xffbxmgfojaxsz5ak4

Numerical Study On Local Entropy Generation In Compressible Flow Through A Suddenly Expanding Pipe

Hüseyin Yapici, Nesrin Kayatas, Nafiz Kahraman, Gamze Bastürk
2005 Entropy  
To determine the effects of the mass flux, ϕ ′ ′ , the ambient heat transfer coefficient, h amb , and the inlet temperature, T in , on the entropy generation rate, the compressible flow is examined for  ...  for the flow and temperature fields.  ...  total entropy generation rate with respect to the its base value.  ... 
doi:10.3390/e7010038 fatcat:nhs5ynn5g5ayraqx25iwbiej5a

Maximal Algorithmic Caliber and Algorithmic Causal Network Inference: General Principles of Real-World General Intelligence? [article]

Ben Goertzel
2020 arXiv   pre-print
These ideas are suggested as potential early steps toward a general theory of the operation of pragmatic generally intelligent systems.  ...  A Principle of Maximum Algorithmic Caliber is proposed, providing guidance as to what computational processes one should hypothesize if one is provided constraints to work within.  ...  Instead of thinking about ideas like "selecting among different actions based upon deep (temporal) generative models that minimize the free energy expected under different courses of action." in terms  ... 
arXiv:2005.04589v1 fatcat:gzswniwa7zbxfh5gp4gogmf5q4

The evolution of Information entropy components in Relativistic Heavy-Ion Collisions [article]

Fei Li, Gang Chen
2019 arXiv   pre-print
The time evolution process of thermodynamic entropy S_ thermal, multiple entropy S_ mul, and configuration entropy S_ conf at RHIC is studied using the AMPT model to generate central Au-Au collisions.  ...  By superimposing the three kinds of information entropy, we can get a more complete information entropy of the system to describe the physical information of the relativistic heavy ion collision.  ...  The AMPT model is based on nonequilibrium transport dynamics, which consists of four parts: the Heavy-Ion Jet INteraction Generator (HIJING) model [19] for generating the initial-state information, Zhangs  ... 
arXiv:1910.10420v2 fatcat:rnbmmqjkkbac7msvcjegpvqpma

Analyzing the neutron scattering angular distribution in a ACE-formatted multigroup cross section library using the maximum entropy method

Shuai-tao ZHU, Xu-bo MA, Hui TANG, Le YANG, Bo CAO, Z. Ge, N. Shu, Y. Chen, W. Wang, H. Zhang
2020 EPJ Web of Conferences  
The differences between two methods generating scattering data, the maximum entropy method and discrete angle method, are also discussed.  ...  It shows that multigroup cross section library including the scattering angle data computed by the maximum entropy method is corrected and can be used for Monte Carlo calculation.  ...  Figure 6 and Figure 7 show the comparison of energy spectra between the continuous energy calculation and the multigroup calculation with anisotropic scattering data generated by maximum entropy method  ... 
doi:10.1051/epjconf/202023910003 fatcat:ahakq3hivbg2fe4rhqp5z3sx5i
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