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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 377 occurrences of 211 keywords
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Results
Found 1281 publication records. Showing 1281 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
23 | Ajay Jasra, David A. Stephens, Christopher C. Holmes |
On population-based simulation for static inference. |
Stat. Comput. |
2007 |
DBLP DOI BibTeX RDF |
Bayesian mixture models, Markov chain Monte Carlo, Adaptive methods, Sequential Monte Carlo |
23 | Joni-Kristian Kamarainen, Miroslav Hamouz, Josef Kittler, Pekka Paalanen, Jarmo Ilonen, Alexander Drobchenko |
Object Localisation Using Generative Probability Model for Spatial Constellation and Local Image Features. |
ICCV |
2007 |
DBLP DOI BibTeX RDF |
|
23 | Hiroyuki Okamura, Michael Grottke, Tadashi Dohi, Kishor S. Trivedi |
Variational Bayesian Approach for Interval Estimation of NHPP-Based Software Reliability Models. |
DSN |
2007 |
DBLP DOI BibTeX RDF |
interval estimation, Software reliability, non-homogeneous Poisson process, variational Bayes |
23 | Fei Ye, Yan Guo, Andrew Lawson, Jijun Tang |
Improving Tree Search in Phylogenetic Reconstruction from Genome Rearrangement Data. |
WEA |
2007 |
DBLP DOI BibTeX RDF |
|
23 | Nadia Bali, Ali Mohammad-Djafari |
A Variational Bayesian Algorithm for BSS Problem with Hidden Gauss-Markov Models for the Sources. |
ICA |
2007 |
DBLP DOI BibTeX RDF |
|
23 | Kenji Nagata, Sumio Watanabe |
Algebraic Geometric Study of Exchange Monte Carlo Method. |
ICANN (1) |
2007 |
DBLP DOI BibTeX RDF |
|
23 | Kenji Nagata, Sumio Watanabe |
Experimental Analysis of Exchange Ratio in Exchange Monte Carlo Method. |
ICONIP (2) |
2007 |
DBLP DOI BibTeX RDF |
|
23 | Mark William Woolrich, T. E. J. Behrens |
Variational bayes inference of spatial mixture models for segmentation. |
IEEE Trans. Medical Imaging |
2006 |
DBLP DOI BibTeX RDF |
|
23 | Yun Zhai, Mubarak Shah |
Video Scene Segmentation Using Markov Chain Monte Carlo. |
IEEE Trans. Multim. |
2006 |
DBLP DOI BibTeX RDF |
|
23 | Mun Wai Lee, Isaac Cohen |
A Model-Based Approach for Estimating Human 3D Poses in Static Images. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2006 |
DBLP DOI BibTeX RDF |
Three-dimensional human pose estimation from static images, body parts detector, data driven Markov chain Monte Carlo, generative models |
23 | Vitaly Schetinin, Valentina V. Zharkova, Sergei I. Zharkov |
Bayesian Decision Tree Averaging for the Probabilistic Interpretation of Solar Flare Occurrences. |
KES (3) |
2006 |
DBLP DOI BibTeX RDF |
Bayesian averaging, solar flare, Machine learning, decision tree, uncertainty, Markov Chain Monte Carlo |
23 | Tshilidzi Marwala |
Bayesian Training of Neural Networks Using Genetic Programming. |
IJCNN |
2006 |
DBLP DOI BibTeX RDF |
|
23 | Lizheng Jiang, Dongqing Yang, Shiwei Tang, Xiuli Ma, Dehui Zhang |
Mining Maximal Correlated Member Clusters in High Dimensional Database. |
PAKDD |
2006 |
DBLP DOI BibTeX RDF |
|
23 | Jing Tian 0002, Kai-Kuang Ma |
Markov Chain Monte Carlo Super-Resolution Image Reconstruction with Simultaneous Adaptation of the Prior Image Model. |
PCM |
2006 |
DBLP DOI BibTeX RDF |
|
23 | Dilan Görür, Frank Jäkel, Carl Edward Rasmussen |
A choice model with infinitely many latent features. |
ICML |
2006 |
DBLP DOI BibTeX RDF |
|
23 | Yun Zhai, Mubarak Shah |
A General Framework for Temporal Video Scene Segmentation. |
ICCV |
2005 |
DBLP DOI BibTeX RDF |
|
23 | Zia Khan, Tucker R. Balch, Frank Dellaert |
Multitarget Tracking with Split and Merged Measurements. |
CVPR (1) |
2005 |
DBLP DOI BibTeX RDF |
|
23 | Matthew A. Bognar, Mary Kathryn Cowles |
Bayesian inference for pairwise interacting point processes. |
Stat. Comput. |
2004 |
DBLP DOI BibTeX RDF |
pairwise interacting point process, grid-based importance sampling, spatial point pattern, Swedish pine sapling data, Bayesian estimation, Metropolis-Hastings algorithm |
23 | Matt Whiley, Simon P. Wilson 0001 |
Parallel algorithms for Markov chain Monte Carlo methods in latent spatial Gaussian models. |
Stat. Comput. |
2004 |
DBLP DOI BibTeX RDF |
parallel algorithms, Bayesian inference, Markov chain Monte Carlo, linear algebra, spatial modelling, latent models |
23 | Anthony R. Dick, Philip H. S. Torr, Roberto Cipolla |
Modelling and Interpretation of Architecture from Several Images. |
Int. J. Comput. Vis. |
2004 |
DBLP DOI BibTeX RDF |
object recognition, architectural modelling, structure and motion |
23 | Takuya Murakita, Tetsushi Ikeda, Hiroshi Ishiguro |
Human Tracking using Floor Sensors based on the Markov Chain Monte Carlo Method. |
ICPR (4) |
2004 |
DBLP DOI BibTeX RDF |
|
23 | Greg Ridgeway, David Madigan |
A Sequential Monte Carlo Method for Bayesian Analysis of Massive Datasets. |
Data Min. Knowl. Discov. |
2003 |
DBLP DOI BibTeX RDF |
massive datasets, particle filter, mixture model, Bayesian inference, Markov chain Monte Carlo, importance sampling |
23 | Anthony N. Pettitt, I. S. Weir, A. G. Hart |
A Conditional Autoregressive Gaussian Process for Irregularly Spaced Multivariate Data with Application to Modelling Large Sets of Binary Data. |
Stat. Comput. |
2002 |
DBLP DOI BibTeX RDF |
conditional autoregression, Markov chain Monte Carlo, spatio-temporal, Bayesian analysis, multivariate data, spatial statistics, binary data |
23 | Arnaud Doucet, Simon J. Godsill, Christian P. Robert |
Marginal maximum a posteriori estimation using Markov chain Monte Carlo. |
Stat. Comput. |
2002 |
DBLP DOI BibTeX RDF |
simulated annealing, missing data, deconvolution, data augmentation, Bayesian computation |
23 | Bart Baesens, Michael Egmont-Petersen, Robert Castelo, Jan Vanthienen |
Learning Bayesian Network Classifiers for Credit Scoring Using Markov Chain Monte Carlo Search. |
ICPR (3) |
2002 |
DBLP DOI BibTeX RDF |
|
23 | Greg Ridgeway, David Madigan |
Bayesian analysis of massive datasets via particle filters. |
KDD |
2002 |
DBLP DOI BibTeX RDF |
|
23 | Honghua Dai 0001, Gang Li 0009, Yiqing Tu |
An Empirical Study of Encoding Schemes and Search Strategies in Discovering Causal Networks. |
ECML |
2002 |
DBLP DOI BibTeX RDF |
|
23 | Georgios A. Stefanou, Simon P. Wilson 0001 |
Image segmentation using the double Markov random field, with application to land use estimation. |
ICIP (1) |
2001 |
DBLP DOI BibTeX RDF |
|
23 | Donald L. Simon, Bret Larget |
Phylogenetic Inference from Mitochondrial Genome Arrangement Data. |
International Conference on Computational Science (2) |
2001 |
DBLP DOI BibTeX RDF |
|
23 | Song Chun Zhu, Rong Zhang, Zhuowen Tu |
Integrating Bottom-Up/Top-Down for Object Recognition by Data Driven Markov Chain Monte Carlo. |
CVPR |
2000 |
DBLP DOI BibTeX RDF |
|
19 | Wei Yeang Kow, Wei Leong Khong, Farrah Wong, Ismail Saad, Kenneth Tze Kin Teo |
Adaptive Tracking of Overlapping Vehicles Via Markov Chain Monte Carlo with CUSUM Path Plot Algorithm. |
CICSyN |
2011 |
DBLP DOI BibTeX RDF |
Markov Chain Monte Carlo (MCMC), Cumulative Sum (CUSUM) Path Plot |
19 | Michael D. Linderman, Robert V. Bruggner, Vivek Athalye, Teresa H. Meng, Narges Bani Asadi, Garry P. Nolan |
High-throughput Bayesian network learning using heterogeneous multicore computers. |
ICS |
2010 |
DBLP DOI BibTeX RDF |
Bayesian networks, GPU, MCMC |
19 | Sergej Sizov |
GeoFolk: latent spatial semantics in web 2.0 social media. |
WSDM |
2010 |
DBLP DOI BibTeX RDF |
geodata, tagging, mcmc, web2.0, bayesian learning |
19 | Cinzia Viroli |
Bayesian inference in non-Gaussian factor analysis. |
Stat. Comput. |
2009 |
DBLP DOI BibTeX RDF |
Independent factor analysis, Model selection criteria, Factor analysis, Reversible jump MCMC |
19 | Vincent Mazet, Christophe Collet 0001, Bernd Vollmer |
Decomposition and Classification of Spectral Lines in Astronomical Radio Data Cubes. |
SCIA |
2009 |
DBLP DOI BibTeX RDF |
spectrum decomposition, multicomponent image, spiral galaxy NGC 4254, Bayesian inference, MCMC |
19 | Fabio Martinelli, Alistair Sinclair |
Mixing time for the solid-on-solid model. |
STOC |
2009 |
DBLP DOI BibTeX RDF |
glauber dynamics, markov chain monte carlo (mcmc), mixing time, ising model, statistical physics |
19 | Mathias Ortner, Xavier Descombes, Josiane Zerubia |
A Marked Point Process of Rectangles and Segments for Automatic Analysis of Digital Elevation Models. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2008 |
DBLP DOI BibTeX RDF |
dense urban area, land register, RJMCMC, Image processing, simulated annealing, MCMC, stochastic geometry, Poisson point process, Digital Elevation Models, building detection |
19 | Daniel David Walker, Eric K. Ringger |
Model-based document clustering with a collapsed gibbs sampler. |
KDD |
2008 |
DBLP DOI BibTeX RDF |
collapsed samplers, practical guidelines, document clustering, mcmc, em, gibbs sampling |
19 | David C. Wheeler, Catherine A. Calder |
An assessment of coefficient accuracy in linear regression models with spatially varying coefficients. |
J. Geogr. Syst. |
2007 |
DBLP DOI BibTeX RDF |
Bayesian regression, Geographically weighted regression, Collinearity, MCMC, Simulation study, Spatial statistics |
19 | Sourabh Bhattacharya, Alan E. Gelfand, Kent E. Holsinger |
Model fitting and inference under latent equilibrium processes. |
Stat. Comput. |
2007 |
DBLP DOI BibTeX RDF |
Allele, Migration, Mutation, MCMC, Bayesian hierarchical model |
19 | Sergio Hernandez-Marin, Andrew M. Wallace, Gavin J. Gibson |
Bayesian Analysis of Lidar Signals with Multiple Returns. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2007 |
DBLP DOI BibTeX RDF |
burst illumination laser, delayed rejection, photon counting, 3D reconstruction, Lidar, reversible jump MCMC |
19 | Thomas P. Hayes, Juan Carlos Vera 0001, Eric Vigoda |
Randomly coloring planar graphs with fewer colors than the maximum degree. |
STOC |
2007 |
DBLP DOI BibTeX RDF |
Markov chain Monte Carlo (MCMC), graph coloring, planar graphs, coupling |
19 | Ru-Xin Gao, Tianfu Wu 0001, Song Chun Zhu, Nong Sang |
Bayesian Inference for Layer Representation with Mixed Markov Random Field. |
EMMCVPR |
2007 |
DBLP DOI BibTeX RDF |
2.1D Sketch, Contour Completion, Mixed Markov Field, Swendsen-Wang Cut, Bayesian Inference, MCMC, Layer Representation |
19 | Jo Eidsvik, Håkon Tjelmeland |
On directional Metropolis-Hastings algorithms. |
Stat. Comput. |
2006 |
DBLP DOI BibTeX RDF |
Adaptive direction sampling, Angular Gaussian distribution, Seismic inversion, Markov Chain Monte Carlo, Auxiliary variables, Reversible jump MCMC, Metropolis-Hastings |
19 | Samer A. Abdallah, Mark B. Sandler, Christophe Rhodes, Michael A. Casey |
Using duration models to reduce fragmentation in audio segmentation. |
Mach. Learn. |
2006 |
DBLP DOI BibTeX RDF |
Duration prior, Wolff algorithm, Segmentation, MCMC, Gibbs sampling |
19 | Marko Salmenkivi, Heikki Mannila |
Using Markov chain Monte Carlo and dynamic programming for event sequence data. |
Knowl. Inf. Syst. |
2005 |
DBLP DOI BibTeX RDF |
Data mining, Dynamic programming, MCMC, Event sequence |
19 | Ben Morris |
The mixing time of the Thorp shuffle. |
STOC |
2005 |
DBLP DOI BibTeX RDF |
Markov chain, MCMC, mixing time, martingale |
19 | Tsung-I Lin, Jack C. Lee, Huey F. Ni |
Bayesian analysis of mixture modelling using the multivariate t distribution. |
Stat. Comput. |
2004 |
DBLP DOI BibTeX RDF |
t mixture model, maximum likelihood estimation, MCMC, maximum a posteriori, ECM, ECME |
19 | Paul Fearnhead |
Particle filters for mixture models with an unknown number of components. |
Stat. Comput. |
2004 |
DBLP DOI BibTeX RDF |
particle filters, Gaussian mixture models, MCMC, Gibbs sampling, Dirichlet process |
19 | Radu Stoica, Xavier Descombes, Josiane Zerubia |
A Gibbs Point Process for Road Extraction from Remotely Sensed Images. |
Int. J. Comput. Vis. |
2004 |
DBLP DOI BibTeX RDF |
Gibbs point processes, Candy model, reversible jump MCMC dynamics, aerial and satellite images, hypothesis tests, road extraction |
19 | Edoardo M. Airoldi, Christos Faloutsos |
Recovering latent time-series from their observed sums: network tomography with particle filters. |
KDD |
2004 |
DBLP DOI BibTeX RDF |
informative priors, link loads, origin-destination traffic flows, self-organizing Bayesian dynamical system, particle filter, MCMC, empirical bayes |
19 | Ben Morris, Yuval Peres |
Evolving sets and mixin. |
STOC |
2003 |
DBLP DOI BibTeX RDF |
Markov chain, MCMC, conductance, mixing time, martingale |
14 | Hossein Kavianihamedani, Julianne D. Quinn, Jared D. Smith |
New Diagnostic Assessment of MCMC Algorithm Effectiveness, Efficiency, Reliability, and Controllability. |
IEEE Access |
2024 |
DBLP DOI BibTeX RDF |
|
14 | Alec Koppel, Joe Eappen, Sujay Bhatt, Cole Hawkins, Sumitra Ganesh |
Online MCMC Thinning with Kernelized Stein Discrepancy. |
SIAM J. Math. Data Sci. |
2024 |
DBLP DOI BibTeX RDF |
|
14 | Ritwik Bhattacharya, Narayanaswamy Balakrishnan 0001 |
A MCMC-type simple probabilistic approach for determining optimal progressive censoring schemes. |
Commun. Stat. Simul. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
14 | Nhat Minh Nguyen, Minh-Ngoc Tran, Rohitash Chandra |
Sequential reversible jump MCMC for dynamic Bayesian neural networks. |
Neurocomputing |
2024 |
DBLP DOI BibTeX RDF |
|
14 | Alexandre Bouchard-Côté, Trevor Campbell, Geoff Pleiss, Nikola Surjanovic |
MCMC-driven learning. |
CoRR |
2024 |
DBLP DOI BibTeX RDF |
|
14 | Zeji Yi, Yunyue Wei, Chu Xin Cheng, Kaibo He, Yanan Sui |
Improving sample efficiency of high dimensional Bayesian optimization with MCMC. |
CoRR |
2024 |
DBLP DOI BibTeX RDF |
|
14 | Julian Hofstadler |
On the optimality of MCMC integration for functions with unbounded second moment. |
CoRR |
2024 |
DBLP DOI BibTeX RDF |
|
14 | Sikun Yang, Heinz Koeppl |
Scaling up Dynamic Edge Partition Models via Stochastic Gradient MCMC. |
CoRR |
2024 |
DBLP DOI BibTeX RDF |
|
14 | Xiang Cheng, Jingzhao Zhang, Suvrit Sra |
Efficient Sampling on Riemannian Manifolds via Langevin MCMC. |
CoRR |
2024 |
DBLP DOI BibTeX RDF |
|
14 | Jiho Hong, Sangwoo Kang 0001, Mikyoung Lim |
Monostatic imaging of an extended target with MCMC sampling. |
CoRR |
2024 |
DBLP DOI BibTeX RDF |
|
14 | Robert G. Kimelman |
MCMChaos: Improvising Rap Music with MCMC Methods and Chaos Theory. |
CoRR |
2024 |
DBLP DOI BibTeX RDF |
|
14 | Samuel Gruffaz, Kyurae Kim, Alain Oliviero Durmus, Jacob R. Gardner |
Stochastic Approximation with Biased MCMC for Expectation Maximization. |
CoRR |
2024 |
DBLP DOI BibTeX RDF |
|
14 | Reda Khoufache, Anisse Belhadj, Hanene Azzag, Mustapha Lebbah |
Distributed MCMC inference for Bayesian Non-Parametric Latent Block Model. |
CoRR |
2024 |
DBLP DOI BibTeX RDF |
|
14 | Yoonseong Kang, Wan Choi 0001 |
MCMC Sampling-Based Randomized Likelihood Decoding for Sparse Recovery. |
IEEE Trans. Commun. |
2024 |
DBLP DOI BibTeX RDF |
|
14 | Rohan Sawhney, Daqi Lin, Markus Kettunen, Benedikt Bitterli, Ravi Ramamoorthi, Chris Wyman, Matt Pharr |
Decorrelating ReSTIR Samplers via MCMC Mutations. |
ACM Trans. Graph. |
2024 |
DBLP DOI BibTeX RDF |
|
14 | Elizaveta Semenova, Swapnil Mishra, Samir Bhatt, Seth R. Flaxman, H. Juliette T. Unwin |
Deep Learning and MCMC with aggVAE for Shifting Administrative Boundaries: Mapping Malaria Prevalence in Kenya. |
Epi UAI |
2024 |
DBLP DOI BibTeX RDF |
|
14 | Reda Khoufache, Anisse Belhadj, Hanene Azzag, Mustapha Lebbah |
Distributed MCMC Inference for Bayesian Non-parametric Latent Block Model. |
PAKDD (1) |
2024 |
DBLP DOI BibTeX RDF |
|
14 | Samuel Gruffaz, Kyurae Kim, Alain Durmus, Jacob Gardner |
Stochastic Approximation with Biased MCMC for Expectation Maximization. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
14 | Liwei Wang, Xinru Liu, Aaron Smith, Aguemon Y. Atchadé |
On cyclical MCMC sampling. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
14 | Tianze Wang, Guanyang Wang |
Unbiased Multilevel Monte Carlo Methods for Intractable Distributions: MLMC Meets MCMC. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
14 | Jeremie Coullon, Leah F. South, Christopher Nemeth |
Efficient and generalizable tuning strategies for stochastic gradient MCMC. |
Stat. Comput. |
2023 |
DBLP DOI BibTeX RDF |
|
14 | Achraf Makhloufi, Abdelaziz Kallel |
Inversion of a New Designed ANN-Based 3-D-RTM Emulator by Continuous MCMC Technique to Monitor Crop Biophysical Properties Using Sentinel-2 Images. |
IEEE Trans. Geosci. Remote. Sens. |
2023 |
DBLP DOI BibTeX RDF |
|
14 | Cheng-en Li, Jian-hua Shi |
MCMC interweaving strategy for estimating stochastic volatility model and its application. |
Commun. Stat. Simul. Comput. |
2023 |
DBLP DOI BibTeX RDF |
|
14 | Eleni Vlachou, Christos N. Karras, Aristeidis Karras, Dimitrios Tsolis, Spyros Sioutas |
EVCA Classifier: A MCMC-Based Classifier for Analyzing High-Dimensional Big Data. |
Inf. |
2023 |
DBLP DOI BibTeX RDF |
|
14 | The Tien Mai |
An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum tomography. |
Comput. Stat. |
2023 |
DBLP DOI BibTeX RDF |
|
14 | Mikkel Bue Lykkegaard, Tim J. Dodwell, Colin Fox, G. Mingas, Robert Scheichl |
Multilevel Delayed Acceptance MCMC. |
SIAM/ASA J. Uncertain. Quantification |
2023 |
DBLP DOI BibTeX RDF |
|
14 | George Bai, Rohitash Chandra |
Gradient boosting Bayesian neural networks via Langevin MCMC. |
Neurocomputing |
2023 |
DBLP DOI BibTeX RDF |
|
14 | Daniel Ries, Jason Adams, Joshua Zollweg |
Target Detection on Hyperspectral Images Using MCMC and VI Trained Bayesian Neural Networks. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
14 | Baris Alparslan, Sinan Yildirim, S. Ilker Birbil |
Differentially Private Distributed Bayesian Linear Regression with MCMC. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
14 | Xiang Cheng, Bohan Wang, Jingzhao Zhang, Yusong Zhu |
Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
14 | Rohitash Chandra, Royce Chen, Joshua Simmons |
Bayesian neural networks via MCMC: a Python-based tutorial. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
14 | Marcel Hirt, Vasileios Kreouzis, Petros Dellaportas |
Learning variational autoencoders via MCMC speed measures. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
14 | Tim Johnston, Iosif Lytras, Sotirios Sabanis |
Kinetic Langevin MCMC Sampling Without Gradient Lipschitz Continuity - the Strongly Convex Case. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
14 | Yifu Han, François P. Hamon, Su Jiang, Louis J. Durlofsky |
Surrogate Model for Geological CO2 Storage and Its Use in MCMC-based History Matching. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
14 | Elizaveta Semenova, Swapnil Mishra, Samir Bhatt, Seth R. Flaxman, H. Juliette T. Unwin |
Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in Kenya. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
14 | Peiyu Yu, Yaxuan Zhu, Sirui Xie, Xiaojian Ma, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu |
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
14 | Andreas Bott, Tim Janke, Florian Steinke |
Deep Learning-enabled MCMC for Probabilistic State Estimation in District Heating Grids. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
14 | Michael Plainer, Hannes Stärk, Charlotte Bunne, Stephan Günnemann |
Transition Path Sampling with Boltzmann Generator-based MCMC Moves. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
14 | Bolian Li, Ruqi Zhang |
Entropy-MCMC: Sampling from Flat Basins with Ease. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
14 | Juntao Yang |
Hybrid two-level MCMC for Bayesian Inverse Problems. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
14 | Jiali Cui, Tian Han 0001 |
Learning Energy-based Model via Dual-MCMC Teaching. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
14 | Adrien Corenflos, Simo Särkkä |
Auxiliary MCMC and particle Gibbs samplers for parallelisable inference in latent dynamical systems. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
14 | Gang Chen |
Speed up the inference of diffusion models via shortcut MCMC sampling. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
14 | Yingyu Lin, Yian Ma, Yu-Xiang Wang 0003, Rachel Redberg |
Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
14 | Masoumeh Javanbakhat, Christoph Lippert |
A Probabilistic Approach to Self-Supervised Learning using Cyclical Stochastic Gradient MCMC. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
14 | Anders Sjöberg, Jakob Lindqvist, Magnus Önnheim, Mats Jirstrand, Lennart Svensson |
MCMC-Correction of Score-Based Diffusion Models for Model Composition. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
14 | Jonas Gregor Wiese, Lisa Wimmer, Theodore Papamarkou, Bernd Bischl, Stephan Günnemann, David Rügamer |
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
14 | Elizaveta Semenova, Max Cairney-Leeming, Seth R. Flaxman |
PriorCVAE: scalable MCMC parameter inference with Bayesian deep generative modelling. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
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