MDEntropy: Information-Theoretic Analyses for Molecular Dynamics
نویسندگان
چکیده
منابع مشابه
Information Theoretic MPC Using Neural Network Dynamics
We introduce an information theoretic model predictive control (MPC) algorithm that is capable of controlling systems with dynamics represented by multi-layer neural networks and subject to complex cost criteria. The proposed approach is validated in two difficult simulation scenarios, a cart-pole swing up and quadrotor navigation task, and on real hardware on a 1/5th scale vehicle in an aggres...
متن کاملInformation-theoretic analyses of a birefringent blur filter.
We present the results of an information-theoretic analysis of an undersampled imaging system that contains a birefringent blur filter. We vary the spacing between replicas of the nonblurred point-spread function produced by the birefringent blur filter to find the value that yields the maximum information density. Comparison is made between this value and that yielded by a conventional qualita...
متن کاملNon Game-Theoretic Analyses
When is the Standard Analysis of Common Property Extraction Under Free Access Correct?---A GameTheoretic Justification for Non Game-Theoretic Analyses Analyses of common property extraction under "free access" used to assume period-byperiod rent dissipation thus avoiding the use of game theory; more modern analyses instead deduce the subgame perfect Nash equilibrium of the common property game ...
متن کاملAn Information-Theoretic Discussion of Convolutional Bottleneck Features for Robust Speech Recognition
Convolutional Neural Networks (CNNs) have been shown their performance in speech recognition systems for extracting features, and also acoustic modeling. In addition, CNNs have been used for robust speech recognition and competitive results have been reported. Convolutive Bottleneck Network (CBN) is a kind of CNNs which has a bottleneck layer among its fully connected layers. The bottleneck fea...
متن کاملForced Information for Information-Theoretic Competitive Learning
We have proposed a new information-theoretic approach to competitive learning [1], [2], [3], [4], [5]. The information-theoretic method is a very flexible type of competitive learning, compared with conventional competitive learning. However, some problems have been pointed out concerning the information-theoretic method, for example, slow convergence. In this paper, we propose a new computatio...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Journal of Open Source Software
سال: 2017
ISSN: 2475-9066
DOI: 10.21105/joss.00427