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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
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The graphs summarize 112 occurrences of 101 keywords
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Results
Found 376 publication records. Showing 376 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
71 | Rune B. Lyngsø, Yun S. Song, Jotun Hein |
Accurate Computation of Likelihoods in the Coalescent with Recombination Via Parsimony. |
RECOMB |
2008 |
DBLP DOI BibTeX RDF |
|
51 | John Mullane, Martin David Adams, Wijerupage Sardha Wijesoma |
Outdoor Radar Mapping Using Measurement Likelihood Estimation. |
FSR |
2007 |
DBLP DOI BibTeX RDF |
|
51 | Paul B. Chou, Christopher M. Brown |
The theory and practice of Bayesian image labeling. |
Int. J. Comput. Vis. |
1990 |
DBLP DOI BibTeX RDF |
|
49 | Kang G. Shin, Hagbae Kim |
A Time Redundancy Approach to TMR Failures Using Fault-State Likelihoods. |
IEEE Trans. Computers |
1994 |
DBLP DOI BibTeX RDF |
time redundancy approach, TMR failures, fault-state likelihoods, processing modules, disagreement detector, system reconfiguration, adaptive recovery method, fault tolerant computing, redundancy, digital simulation, simulation results, Bayes methods, voters, triple modular redundant system, Bayes theorem |
42 | Bing Ma, Sridhar Lakshmanan, Alfred O. Hero III |
Detection of Curved Road Edges in Radar Images Via Deformable Templates. |
ICIP (1) |
1997 |
DBLP DOI BibTeX RDF |
curved road edge detection, millimeter-wave radar images, random field likelihoods, adaptive MAP estimate, three-region indicator matrix, road geometry, quasi-quadratic matrix, log-normal likelihood, optimal road edges, deterministic recursive scheme, optimal indicator matrix, experimental results, Bayesian method, deformable templates, radar imaging, radar images, Metropolis algorithm, weighting scheme, nonlinear constraints |
42 | Matthew Brand, Nuria Oliver, Alex Pentland |
Coupled hidden Markov models for complex action recognition. |
CVPR |
1997 |
DBLP DOI BibTeX RDF |
complex action recognition, vision task, two-handed actions, Bayesian semantics, limited state memory, single-process model, training speeds, model likelihoods, hidden Markov models, robustness, dynamic time warping, dynamic behaviors, training algorithm, coupled hidden Markov models |
38 | Ales Padrta, Vlasta Radová |
On the Background Model Construction for Speaker Verification Using GMM. |
TSD |
2004 |
DBLP DOI BibTeX RDF |
|
33 | Liam Paninski, Adrian Haith, Gábor Szirtes |
Integral equation methods for computing likelihoods and their derivatives in the stochastic integrate-and-fire model. |
J. Comput. Neurosci. |
2008 |
DBLP DOI BibTeX RDF |
Large deviations approximation, Markov process, Volterra integral equation |
33 | Matteo Bregonzio, Murtaza Taj, Andrea Cavallaro |
Multi-Modal Particle Filtering Tracking using Appearance, Motion and Audio Likelihoods. |
ICIP (5) |
2007 |
DBLP DOI BibTeX RDF |
|
33 | Erik Pogalin, André Redert, Ioannis Patras, Emile A. Hendriks |
Gaze Tracking by Using Factorized Likelihoods Particle Filtering and Stereo Vision. |
3DPVT |
2006 |
DBLP DOI BibTeX RDF |
|
33 | Stephen J. McKenna, Hammadi Nait-Charif |
Learning Spatial Context from Tracking using Penalised Likelihoods. |
ICPR (4) |
2004 |
DBLP DOI BibTeX RDF |
|
33 | Stefan Roth 0001, Leonid Sigal, Michael J. Black |
Gibbs Likelihoods for Bayesian Tracking. |
CVPR (1) |
2004 |
DBLP DOI BibTeX RDF |
|
33 | Glenn Marion, Gavin J. Gibson, Eric Renshaw |
Estimating likelihoods for spatio-temporal models using importance sampling. |
Stat. Comput. |
2003 |
DBLP DOI BibTeX RDF |
likelihood estimation, stochastic integration, spatio-temporal stochastic process, incomplete observations, Markov chain Monte Carlo, importance sampling |
33 | Cristian Sminchisescu |
Consistency and Coupling in Human Model Likelihoods. |
FGR |
2002 |
DBLP DOI BibTeX RDF |
|
29 | Steven M. LaValle, Seth Hutchinson 0001 |
A Bayesian Segmentation Methodology for Parametric Image Models. |
IEEE Trans. Pattern Anal. Mach. Intell. |
1995 |
DBLP DOI BibTeX RDF |
Statistical image segmentation, Markov random field, range images, texture segmentation, Bayesian methods, Bayes factor, likelihoods |
26 | Andreas Wedel, Annemarie Meißner, Clemens Rabe, Uwe Franke, Daniel Cremers |
Detection and Segmentation of Independently Moving Objects from Dense Scene Flow. |
EMMCVPR |
2009 |
DBLP DOI BibTeX RDF |
|
26 | Jeroen Lichtenauer, Emile A. Hendriks, Marcel J. T. Reinders |
Sign Language Recognition by Combining Statistical DTW and Independent Classification. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2008 |
DBLP DOI BibTeX RDF |
|
26 | Angela Quinlan, Futoshi Asano |
Tracking a varying number of speakers using particle filtering. |
ICASSP |
2008 |
DBLP DOI BibTeX RDF |
|
26 | Yi Huang, Michael S. Brown, Dong Xu |
A framework for reducing ink-bleed in old documents. |
CVPR |
2008 |
DBLP DOI BibTeX RDF |
|
26 | Mitsuharu Emoto, Akira Hayashi, Nobuo Suematsu, Kazunori Iwata 0001 |
View Independent Gait Identification Using a Particle Filter. |
AVSS |
2006 |
DBLP DOI BibTeX RDF |
|
26 | Liyang Xie, Jinyu Zhou, Xuemin Wang |
Data mapping and the prediction of common cause failure probability. |
IEEE Trans. Reliab. |
2005 |
DBLP DOI BibTeX RDF |
|
26 | Brian Mak, James Tin-Yau Kwok, Simon Ka-Lung Ho |
Kernel Eigenvoice Speaker Adaptation. |
IEEE Trans. Speech Audio Process. |
2005 |
DBLP DOI BibTeX RDF |
|
26 | Pavel Paclík, Serguei Verzakov, Robert P. W. Duin |
Improving the Maximum-Likelihood Co-occurrence Classifier: A Study on Classification of Inhomogeneous Rock Images. |
SCIA |
2005 |
DBLP DOI BibTeX RDF |
|
26 | Kazunori Okada, Umut Akdemir, Arun Krishnan |
Blob Segmentation Using Joint Space-Intensity Likelihood Ratio Test: Application to 3D Tumor Segmentation. |
CVPR (2) |
2005 |
DBLP DOI BibTeX RDF |
|
26 | Alex I. Bazin, Mark S. Nixon |
Gait Verification Using Probabilistic Methods. |
WACV/MOTION |
2005 |
DBLP DOI BibTeX RDF |
|
26 | Donka S. Angelova, Lyudmila Mihaylova, Tzvetan Semerdjiev |
Monte Carlo Algorithm for Maneuvering Target Tracking and Classification. |
International Conference on Computational Science |
2004 |
DBLP DOI BibTeX RDF |
|
26 | Annie Yao, Andrew Calway |
Interpolating Novel Views from Image Sequences by Probabilistic Depth Carving. |
ECCV (2) |
2004 |
DBLP DOI BibTeX RDF |
|
26 | Yifan Gong 0001 |
Noise-dependent Gaussian mixture classifiers for robust rejection decision. |
IEEE Trans. Speech Audio Process. |
2002 |
DBLP DOI BibTeX RDF |
|
26 | Charles H. Fosgate, Hamid Krim, William W. Irving, William Clement Karl, Alan S. Willsky |
Multiscale segmentation and anomaly enhancement of SAR imagery. |
IEEE Trans. Image Process. |
1997 |
DBLP DOI BibTeX RDF |
|
20 | David J. Warne, Oliver J. Maclaren, Elliot J. Carr, Matthew J. Simpson, Christopher C. Drovandi |
Generalised likelihood profiles for models with intractable likelihoods. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
20 | Xiliang Yang, Yifei Xiong, Zhijian He |
Leveraging Nested MLMC for Sequential Neural Posterior Estimation with Intractable Likelihoods. |
CoRR |
2024 |
DBLP DOI BibTeX RDF |
|
20 | Ali Al Kadhim, Harrison B. Prosper, Olivia F. Prosper |
Amortized simulation-based frequentist inference for tractable and intractable likelihoods. |
Mach. Learn. Sci. Technol. |
2024 |
DBLP DOI BibTeX RDF |
|
20 | Sagnik Mondal, Sameh Abdulah, Hatem Ltaief, Ying Sun 0002, Marc G. Genton, David E. Keyes |
Tile low-rank approximations of non-Gaussian space and space-time Tukey g-and-h random field likelihoods and predictions on large-scale systems. |
J. Parallel Distributed Comput. |
2023 |
DBLP DOI BibTeX RDF |
|
20 | Christian Krullikowski, Candace Chow, Marc Wieland, Sandro Martinis, Bernhard Bauer-Marschallinger, Florian Roth, Patrick Matgen, Marco Chini, Renaud Hostache, Yu Li, Peter Salamon |
Estimating Ensemble Likelihoods for the Sentinel-1-Based Global Flood Monitoring Product of the Copernicus Emergency Management Service. |
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. |
2023 |
DBLP DOI BibTeX RDF |
|
20 | Anja Beck, Méril Reboud, Danny van Dyk |
Testable Likelihoods for Beyond-the-Standard Model Fits. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
20 | Julian Rodemann, Christoph Jansen, Georg Schollmeyer, Thomas Augustin |
In all LikelihoodS: How to Reliably Select Pseudo-Labeled Data for Self-Training in Semi-Supervised Learning. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
20 | Alexandre Adam, Connor Stone, Connor Bottrell, Ronan Legin, Yashar Hezaveh, Laurence Perreault Levasseur |
Echoes in the Noise: Posterior Samples of Faint Galaxy Surface Brightness Profiles with Score-Based Likelihoods and Priors. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
20 | Erik Englesson, Amir Mehrpanah, Hossein Azizpour |
Logistic-Normal Likelihoods for Heteroscedastic Label Noise in Classification. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
20 | Maximilian Dinkel, Carolin M. Geitner, Gil Robalo Rei, Jonas Nitzler, Wolfgang A. Wall |
Solving Bayesian Inverse Problems With Expensive Likelihoods Using Constrained Gaussian Processes and Active Learning. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
20 | Garima Singh, Jonas Rembser, Lorenzo Moneta, David J. Lange, Vassil Vassilev |
Automatic Differentiation of Binned Likelihoods With Roofit and Clad. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
20 | Suman V. Ravuri, Mélanie Rey, Shakir Mohamed, Marc Peter Deisenroth |
Understanding Deep Generative Models with Generalized Empirical Likelihoods. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
20 | Polina Zablotskaia, Misha Khalman, Rishabh Joshi, Livio Baldini Soares, Shoshana Jakobovits, Joshua Maynez, Shashi Narayan |
Calibrating Likelihoods towards Consistency in Summarization Models. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
20 | Julian Rodemann, Christoph Jansen, Georg Schollmeyer, Thomas Augustin |
In all likelihoods: robust selection of pseudo-labeled data. |
ISIPTA |
2023 |
DBLP BibTeX RDF |
|
20 | William Plumb, Alex Bottle, Giuliano Casale, Alex Liddle |
Clinical Pathway Clustering Using Surrogate Likelihoods and Replayability Validation. |
WSC |
2023 |
DBLP DOI BibTeX RDF |
|
20 | Yong Fang 0001, Qiqi He, Dandan Ding, Hangguan Shan, Lu Yu 0003, Zhaoyang Zhang |
Deep-Learning Based Gaussian Mixture Likelihoods Joint Source-Channel Coding for Image Transmission. |
WCSP |
2023 |
DBLP DOI BibTeX RDF |
|
20 | Suman V. Ravuri, Mélanie Rey, Shakir Mohamed, Marc Peter Deisenroth |
Understanding Deep Generative Models with Generalized Empirical Likelihoods. |
CVPR |
2023 |
DBLP DOI BibTeX RDF |
|
20 | Stefano van Gogh |
Hybrid tomographic reconstruction in grating interferometry breast CT: combining physics-based likelihoods with data-driven priors. |
|
2023 |
RDF |
|
20 | Frank Rotiroti, Stephen G. Walker |
Computing marginal likelihoods via the Fourier integral theorem and pointwise estimation of posterior densities. |
Stat. Comput. |
2022 |
DBLP DOI BibTeX RDF |
|
20 | Oliver R. A. Dunbar, Andrew B. Duncan, Andrew M. Stuart, Marie-Therese Wolfram |
Ensemble Inference Methods for Models With Noisy and Expensive Likelihoods. |
SIAM J. Appl. Dyn. Syst. |
2022 |
DBLP DOI BibTeX RDF |
|
20 | Haitao Liu 0002, Yew-Soon Ong, Ziwei Yu, Jianfei Cai 0001, Xiaobo Shen 0001 |
Scalable Gaussian Process Classification With Additive Noise for Non-Gaussian Likelihoods. |
IEEE Trans. Cybern. |
2022 |
DBLP DOI BibTeX RDF |
|
20 | Shantanu Jaiswal, Liu Yan, Dongkyu Choi, Kenneth Kwok |
A Probabilistic-Logic based Commonsense Representation Framework for Modelling Inferences with Multiple Antecedents and Varying Likelihoods. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
20 | Yuli Liu, Christian J. Walder, Lexing Xie |
Determinantal Point Process Likelihoods for Sequential Recommendation. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
20 | Darren Abramson 0001, Ali Emami |
An Application of Pseudo-Log-Likelihoods to Natural Language Scoring. |
CoRR |
2022 |
DBLP BibTeX RDF |
|
20 | Michael Whitehouse, Nick Whiteley, Lorenzo Rimella |
Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
20 | Sagnik Mondal, Sameh Abdulah, Hatem Ltaief, Ying Sun 0002, Marc G. Genton, David E. Keyes |
Parallel Approximations of the Tukey g-and-h Likelihoods and Predictions for Non-Gaussian Geostatistics. |
IPDPS |
2022 |
DBLP DOI BibTeX RDF |
|
20 | Thalia Vrantsidis, Tania Lombrozo |
Simplicity beyond probability: Simplicity's role in evaluating explanations goes beyond providing cues to priors and likelihoods. |
CogSci |
2022 |
DBLP BibTeX RDF |
|
20 | Kushal Chauhan, Barath Mohan Umapathi, Pradeep Shenoy, Manish Gupta, Devarajan Sridharan |
Robust outlier detection by de-biasing VAE likelihoods. |
CVPR |
2022 |
DBLP DOI BibTeX RDF |
|
20 | Yuli Liu, Christian J. Walder, Lexing Xie |
Determinantal Point Process Likelihoods for Sequential Recommendation. |
SIGIR |
2022 |
DBLP DOI BibTeX RDF |
|
20 | Martin Jankowiak, Du Phan |
Surrogate Likelihoods for Variational Annealed Importance Sampling. |
ICML |
2022 |
DBLP BibTeX RDF |
|
20 | Gaël Alguero, Sabine Kraml, Wolfgang Waltenberger |
A SModelS interface for pyhf likelihoods. |
Comput. Phys. Commun. |
2021 |
DBLP DOI BibTeX RDF |
|
20 | George Wynne, François-Xavier Briol, Mark Girolami |
Convergence Guarantees for Gaussian Process Means With Misspecified Likelihoods and Smoothness. |
J. Mach. Learn. Res. |
2021 |
DBLP BibTeX RDF |
|
20 | Joshua J. Bon, Anthony Lee, Christopher C. Drovandi |
Accelerating sequential Monte Carlo with surrogate likelihoods. |
Stat. Comput. |
2021 |
DBLP DOI BibTeX RDF |
|
20 | Stefan Wunsch, Simon Jörger, Roger Wolf, Günter Quast |
Optimal Statistical Inference in the Presence of Systematic Uncertainties Using Neural Network Optimization Based on Binned Poisson Likelihoods with Nuisance Parameters. |
Comput. Softw. Big Sci. |
2021 |
DBLP DOI BibTeX RDF |
|
20 | Andrew B. Duncan, Andrew M. Stuart, Marie-Therese Wolfram |
Ensemble Inference Methods for Models With Noisy and Expensive Likelihoods. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
20 | Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Tomomi Takenaga, Naoto Hayashi, Osamu Abe |
X2CT-FLOW: Reconstruction of multiple volumetric chest computed tomography images with different likelihoods from a uni- or biplanar chest X-ray image using a flow-based generative model. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
20 | Desi R. Ivanova, Adam Foster 0001, Steven Kleinegesse, Michael U. Gutmann, Tom Rainforth |
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
20 | David Heckerman, Dan Geiger |
Likelihoods and Parameter Priors for Bayesian Networks. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
20 | Nico Reick, Felix Wiewel, Alexander Bartler, Bin Yang 0009 |
Estimation of Bivariate Structural Causal Models by Variational Gaussian Process Regression Under Likelihoods Parametrised by Normalising Flows. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
20 | Martin Jankowiak, Du Phan |
Surrogate Likelihoods for Variational Annealed Importance Sampling. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
20 | Florian Pfaff, Kailai Li, Uwe D. Hanebeck |
Conditional Densities and Likelihoods for Hypertoroidal Densities Based on Trigonometric Polynomials. |
MFI |
2021 |
DBLP DOI BibTeX RDF |
|
20 | Desi R. Ivanova, Adam Foster 0001, Steven Kleinegesse, Michael U. Gutmann, Thomas Rainforth |
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods. |
NeurIPS |
2021 |
DBLP BibTeX RDF |
|
20 | Siddharth Ramchandran, Miika Koskinen, Harri Lähdesmäki |
Latent Gaussian process with composite likelihoods and numerical quadrature. |
AISTATS |
2021 |
DBLP BibTeX RDF |
|
20 | James Paul LeSage |
Fast MCMC estimation of multiple W-matrix spatial regression models and Metropolis-Hastings Monte Carlo log-marginal likelihoods. |
J. Geogr. Syst. |
2020 |
DBLP DOI BibTeX RDF |
|
20 | Ray S. W. Chung, Mike K. P. So, Amanda M. Y. Chu, Thomas W. C. Chan |
Regularization of Bayesian quasi-likelihoods constructed from complex estimating functions. |
Comput. Stat. Data Anal. |
2020 |
DBLP DOI BibTeX RDF |
|
20 | Johannes Reichl |
Estimating marginal likelihoods from the posterior draws through a geometric identity. |
Monte Carlo Methods Appl. |
2020 |
DBLP DOI BibTeX RDF |
|
20 | Ben Powell, Paul A. Smith |
Computing expectations and marginal likelihoods for permutations. |
Comput. Stat. |
2020 |
DBLP DOI BibTeX RDF |
|
20 | Luigi Acerbi |
Variational Bayesian Monte Carlo with Noisy Likelihoods. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
20 | Hans Kersting, Nicholas Krämer, Martin Schiegg, Christian Daniel, Michael Tiemann, Philipp Hennig |
Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
20 | Sepehr Hendiani, Lisheng Jiang, Ebrahim Sharifi, Huchang Liao |
Multi-expert multi-criteria decision making based on the likelihoods of interval type-2 trapezoidal fuzzy preference relations. |
Int. J. Mach. Learn. Cybern. |
2020 |
DBLP DOI BibTeX RDF |
|
20 | Shaogang Ren, Dingcheng Li, Zhixin Zhou, Ping Li 0001 |
Estimate the Implicit Likelihoods of GANs with Application to Anomaly Detection. |
WWW |
2020 |
DBLP DOI BibTeX RDF |
|
20 | Pawel M. Chilinski, Ricardo Silva |
Neural Likelihoods via Cumulative Distribution Functions. (PDF / PS) |
UAI |
2020 |
DBLP BibTeX RDF |
|
20 | Zhengxue Cheng, Heming Sun, Masaru Takeuchi, Jiro Katto |
Learned Lossless Image Compression with A Hyperprior and Discretized Gaussian Mixture Likelihoods. |
ICASSP |
2020 |
DBLP DOI BibTeX RDF |
|
20 | Ryo Kamoi, Kei Kobayashi |
Out-of-Distribution Detection with Likelihoods Assigned by Deep Generative Models Using Multimodal Prior Distributions. |
SafeAI@AAAI |
2020 |
DBLP BibTeX RDF |
|
20 | Zhengxue Cheng, Heming Sun, Jiro Katto |
Low Bitrate Image Compression with Discretized Gaussian Mixture Likelihoods. |
CVPR Workshops |
2020 |
DBLP BibTeX RDF |
|
20 | Zhengxue Cheng, Heming Sun, Masaru Takeuchi, Jiro Katto |
Learned Image Compression With Discretized Gaussian Mixture Likelihoods and Attention Modules. |
CVPR |
2020 |
DBLP BibTeX RDF |
|
20 | Luigi Acerbi |
Variational Bayesian Monte Carlo with Noisy Likelihoods. |
NeurIPS |
2020 |
DBLP BibTeX RDF |
|
20 | Hans Kersting, Nicholas Krämer, Martin Schiegg, Christian Daniel, Michael Tiemann, Philipp Hennig |
Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems. |
ICML |
2020 |
DBLP BibTeX RDF |
|
20 | Yang Li 0012, Shoaib Akbar, Junier Oliva |
ACFlow: Flow Models for Arbitrary Conditional Likelihoods. |
ICML |
2020 |
DBLP BibTeX RDF |
|
20 | Ziqiao Ao, Jinglai Li |
An approximate KLD based experimental design for models with intractable likelihoods. |
AISTATS |
2020 |
DBLP BibTeX RDF |
|
20 | Victor Alfonso Rodriguez, Tony Sun, Phyllis Thangaraj, Chao Pang, Krishna Kalluri, Xinzhuo Jiang, Karthik Natarajan, Patrick B. Ryan, Anna Ostropolets, Ruijun Chen |
Phenotype Concept Set Construction from Concept Pair Likelihoods. |
AMIA |
2020 |
DBLP BibTeX RDF |
|
20 | Robert Feldmann |
LEO-Py: Estimating likelihoods for correlated, censored, and uncertain data with given marginal distributions. |
Astron. Comput. |
2019 |
DBLP DOI BibTeX RDF |
|
20 | Emma A. Fox, Alison E. Wright, Matteo Fumagalli 0002, Filipe G. Vieira |
ngsLD: evaluating linkage disequilibrium using genotype likelihoods. |
Bioinform. |
2019 |
DBLP DOI BibTeX RDF |
|
20 | Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn 0001, Wolfram Wiesemann |
Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization. |
CoRR |
2019 |
DBLP BibTeX RDF |
|
20 | Haitao Liu 0002, Yew-Soon Ong, Ziwei Yu, Jianfei Cai 0001, Xiaobo Shen 0001 |
Scalable Gaussian Process Classification with Additive Noise for Various Likelihoods. |
CoRR |
2019 |
DBLP BibTeX RDF |
|
20 | Siddharth Ramchandran, Miika Koskinen, Harri Lähdesmäki |
Latent Gaussian process with composite likelihoods for data-driven disease stratification. |
CoRR |
2019 |
DBLP BibTeX RDF |
|
20 | Yang Li 0012, Shoaib Akbar, Junier B. Oliva |
Flow Models for Arbitrary Conditional Likelihoods. |
CoRR |
2019 |
DBLP BibTeX RDF |
|
20 | Christina Winkler, Daniel E. Worrall, Emiel Hoogeboom, Max Welling |
Learning Likelihoods with Conditional Normalizing Flows. |
CoRR |
2019 |
DBLP BibTeX RDF |
|
20 | Christopher M. Bender, Juan Jose Garcia, Kevin O'Connor, Junier Oliva |
Permutation Invariant Likelihoods and Equivariant Transformations. |
CoRR |
2019 |
DBLP BibTeX RDF |
|
20 | Martin Jankowiak, Jacob R. Gardner |
Neural Likelihoods for Multi-Output Gaussian Processes. |
CoRR |
2019 |
DBLP BibTeX RDF |
|
20 | Merijn Mestdagh, Stijn Verdonck, Kristof Meers, Tim Loossens, Francis Tuerlinckx |
Prepaid parameter estimation without likelihoods. |
PLoS Comput. Biol. |
2019 |
DBLP DOI BibTeX RDF |
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