• SegNet

  • Referenced in 27 articles [sw27575]
  • efficient both in terms of memory and computational time during inference. It is also significantly ... with competitive inference time and more efficient inference memory-wise as compared to other architectures...
  • MultiNest

  • Referenced in 50 articles [sw10481]
  • MultiNest: an efficient and robust Bayesian inference tool for cosmology and particle physics. We present ... nested sampling algorithm, called MultiNest. This Bayesian inference tool calculates the evidence, with an associated ... lead to further substantial improvements in sampling efficiency and robustness, as compared to the original ... techniques in a wide range of astrophysical inference problems. The accuracy and economy...
  • stochvol

  • Referenced in 25 articles [sw19383]
  • package stochvol: Efficient Bayesian Inference for Stochastic Volatility (SV) Models. Efficient algorithms for fully Bayesian...
  • MBase

  • Referenced in 17 articles [sw08724]
  • formalizing mathematical practice and supporting efficient inference services. This “mathematical vernacular” is an extension...
  • Cardinal

  • Referenced in 10 articles [sw06999]
  • suitable for combinatorial problem solving by exploiting inferences over sets cardinality. In fact, to deal ... constraint store and we illustrate its efficiency with experimental results. We show the importance ... Additionally, to further extend modelling capabilities and efficiency, we generalized Cardinal to actively consider constraints ... constraining those functions, letting Cardinal especial inferences efficiently take care of different problems. We describe...
  • hdm

  • Referenced in 7 articles [sw21313]
  • econometric methods for estimation and inference. Efficient estimators and uniformly valid confidence intervals for various ... Moreover, the methods enable valid post-selection inference and rely on a theoretically grounded, data...
  • deGradInfer

  • Referenced in 10 articles [sw25417]
  • Systems of Differential Equation. Efficient Bayesian parameter inference for systems of ordinary differential equations ... inference is based on adaptive gradient matching (AGM, Dondelinger et al. 2013 http://proceedings.mlr.press/v31/dondelinger13a.pdf>, ... offers orders-of-magnitude improvements in computational efficiency over standard methods that require solving ... functions, support for missing variables, Bayesian inference via population MCMC...
  • RPOLY

  • Referenced in 10 articles [sw05301]
  • Haplotype inference with pseudo-Boolean optimization. The fast development of sequencing techniques in the recent ... required an urgent development of efficient and accurate haplotype inference tools. Besides being a crucial ... approach to solve the problem of haplotype inference and also an interesting NP-hard problem ... Boolean optimization (PBO) methods, has produced very efficient solvers. This paper provides a detailed description...
  • GPyTorch

  • Referenced in 15 articles [sw35483]
  • Acceleration. Despite advances in scalable models, the inference tools used for Gaussian processes (GPs) have ... hardware. We present an efficient and general approach to GP inference based on Blackbox Matrix ... reduces the asymptotic complexity of exact GP inference from O(n3) to O(n2). Adapting ... models simply requires a routine for efficient matrix-matrix multiplication with the kernel...
  • IDTxl

  • Referenced in 5 articles [sw25603]
  • comprehensive software package for efficient inference of networks and their node dynamics from multivariate time...
  • FastInf

  • Referenced in 4 articles [sw06423]
  • FastInf: an efficient approximate inference library The FastInf C++ library is designed to perform memory ... time efficient approximate inference in large-scale discrete undirected graphical models. The focus...
  • LUSTRE

  • Referenced in 38 articles [sw08938]
  • inference rules. Moreover, we show how to use this semantics in order to generate efficient...
  • Medlda

  • Referenced in 13 articles [sw11723]
  • likelihood-driven objective functions for learning and inference, leaving the popular and potentially powerful ... side information is available. Efficient variational methods for posterior inference and parameter estimation are derived ... prediction performance; and 3) be more efficient than existing supervised topic models, especially for classification...
  • HIBITS

  • Referenced in 4 articles [sw30626]
  • frequentist modeling framework that provides efficient inference and more accurate predictions. Results demonstrate the advantages...
  • daBNN

  • Referenced in 2 articles [sw31494]
  • Networks (BNNs) could drastically accelerate the inference efficiency by replacing the arithmetic operations in float ... work, we propose daBNN --- a super fast inference framework that implements BNNs on ARM devices ... layout are uniquely devised to enhance inference efficiency. Compared to the recent open-source...
  • BayesLogit

  • Referenced in 46 articles [sw09312]
  • leads to simple, effective methods for posterior inference that (1) circumvent the need for analytic ... ease of use and in computational efficiency. All methods, including an efficient sampler...
  • BayesPy

  • Referenced in 3 articles [sw15438]
  • Python software package for performing variational Bayesian inference. It is based on the variational message ... Simple syntax, flexible model construction and efficient inference make BayesPy suitable for both average...
  • PersonLab

  • Referenced in 3 articles [sw39072]
  • fully-convolutional architecture and allows for efficient inference, with runtime essentially independent of the number...
  • Pueblo

  • Referenced in 33 articles [sw00743]
  • paper introduces a new hybrid method for efficiently integrating Pseudo-Boolean (PB) constraints into generic ... adopt the cutting-plane technique to draw inferences among PB constraints and combine it with ... approach include a light-weight and efficient hybrid learning and backjumping strategy for analyzing...
  • WHIRL

  • Referenced in 11 articles [sw02620]
  • faster than naive inference methods, even for short queries, and efficient on typical queries...