Restricted Boltzmann Machine

Restricted Boltzmann Machines, or RBMs, are two-layer generative neural networks that learn a probability distribution over the inputs. They are a special class of Boltzmann Machine in that they have a restricted number of connections between visible and hidden units. Every node in the visible layer is connected to every node in the hidden layer, but no nodes in the same group are connected. RBMs are usually trained using the contrastive divergence learning procedure.

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Latest Papers

PAPER DATE
Between-Domain Instance Transition Via the Process of Gibbs Sampling in RBM
Hossein Shahabadi FarahaniAlireza FatehiMahdi Aliyari Shoorehdeli
2020-06-25
Logically Synthesized, Hardware-Accelerated, Restricted Boltzmann Machines for Combinatorial Optimization and Integer Factorization
Saavan PatelPhilip CanozaSayeef Salahuddin
2020-06-16
Higher-order interactions in statistical physics and machine learning: A non-parametric solution to the inverse problem
Sjoerd Viktor BeentjesAva Khamseh
2020-06-10
Complex Amplitude-Phase Boltzmann Machines
Zengyi LiFriedrich T. Sommer
2020-05-04
Learnergy: Energy-based Machine Learners
| Mateus RoderGustavo Henrique de RosaJoão Paulo Papa
2020-03-16
Minor Constraint Disturbances for Deep Semi-supervised Learning
Jielei ChuJing LiuHongjun WangZhiguo GongTianrui Li
2020-03-13
Generating Digital Twins with Multiple Sclerosis Using Probabilistic Neural Networks
Jonathan R. WalshAaron M. SmithYannick PouliotDavid Li-BlandAnton LoukianovCharles K. Fisher
2020-02-04
A Hybrid Quantum enabled RBM Advantage: Convolutional Autoencoders For Quantum Image Compression and Generative Learning
Jennifer SleemanJohn DorbandMilton Halem
2020-01-31
Effectively Trainable Semi-Quantum Restricted Boltzmann Machine
Ya. S. LyakhovaE. A. PolyakovA. N. Rubtsov
2020-01-24
Modeling Musical Structure with Artificial Neural Networks
Stefan Lattner
2020-01-06
Bayesian machine learning for Boltzmann machine in quantum-enhanced feature spaces
Yusen WuChao-hua YuSujuan QinQiaoyan WenFei Gao
2019-12-20
Robust Multi-Output Learning with Highly Incomplete Data via Restricted Boltzmann Machines
Giancarlo FissoreAurélien DecelleCyril FurtlehnerYufei Han
2019-12-19
Kernel Transform Learning
Jyoti MagguAngshul Majumdar
2019-12-11
Restricted Boltzmann Stochastic Block Model: A Generative Model for Networks with Attributes
Shubham GuptaAmbedkar DukkipatiRui M. Castro
2019-11-11
Gaussian-Spherical Restricted Boltzmann Machines
Aurélien DecelleCyril Furtlehner
2019-10-31
On the geometry of learning neural quantum states
Chae-Yeun ParkMichael J. Kastoryano
2019-10-24
Collaborative Filtering with Label Consistent Restricted Boltzmann Machine
Sagar VermaPrince PatelAngshul Majumdar
2019-10-17
A Video Recognition Method by using Adaptive Structural Learning of Long Short Term Memory based Deep Belief Network
Shin KamadaTakumi Ichimura
2019-09-30
An Object Detection by using Adaptive Structural Learning of Deep Belief Network
Shin KamadaTakumi Ichimura
2019-09-30
Complex Deep Learning Models for Denoising of Human Heart ECG signals
Corneliu Arsene
2019-08-27
A Deep Neural Network for Finger Counting and Numerosity Estimation
Leszek PecynaAngelo CangelosiAlessandro Di Nuovo
2019-07-09
Convolutional Restricted Boltzmann Machine Based-Radiomics for Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer
Li WangLihui WangQijian ChenCaixia SunXinyu ChengYuemin Zhu
2019-05-23
Generating Weighted MAX-2-SAT Instances of Tunable Difficulty with Frustrated Loops
| Yan Ru PeiHaik ManukianMassimiliano Di Ventra
2019-05-14
Restricted Boltzmann Machine Assignment Algorithm: Application to solve many-to-one matching problems on weighted bipartite graph
Francesco Curia
2019-04-30
A Comparison Study of Credit Card Fraud Detection: Supervised versus Unsupervised
Xuetong NiuLi WangXulei Yang
2019-04-24
Integrating Neural Networks with a Quantum Simulator for State Reconstruction
Giacomo TorlaiBrian TimarEvert P. L. van NieuwenburgHarry LevineAhmed OmranAlexander KeeslingHannes BernienMarkus GreinerVladan VuletićMikhail D. LukinRoger G. MelkoManuel Endres
2019-04-17
Learning Compositional Representations of Interacting Systems with Restricted Boltzmann Machines: Comparative Study of Lattice Proteins
Jérôme TubianaSimona CoccoRémi Monasson
2019-02-18
A bi-partite generative model framework for analyzing and simulating large scale multiple discrete-continuous travel behaviour data
Melvin WongBilal Farooq
2019-01-18
Tree Tensor Networks for Generative Modeling
Song ChengLei WangTao XiangPan Zhang
2019-01-08
QuCumber: wavefunction reconstruction with neural networks
Matthew J. S. BeachIsaac De VlugtAnna GolubevaPatrick HuembeliBohdan KulchytskyyXiuzhe LuoRoger G. MelkoEjaaz MeraliGiacomo Torlai
2018-12-21
Matrix Product Operator Restricted Boltzmann Machines
Cong ChenKim BatselierChing-Yun KoNgai Wong
2018-11-12
Thermodynamics and Feature Extraction by Machine Learning
Shotaro Shiba FunaiDimitrios Giataganas
2018-10-18
Learning Discriminative Representation with Signed Laplacian Restricted Boltzmann Machine
Dongdong ChenJiancheng LvMike E. Davies
2018-08-28
Unbounded Output Networks for Classification
Stefan ElfwingEiji UchibeKenji Doya
2018-07-25
Adaptive Learning Method of Recurrent Temporal Deep Belief Network to Analyze Time Series Data
Takumi IchimuraShin Kamada
2018-07-11
Restricted Boltzmann Machines: Introduction and Review
| Guido Montufar
2018-06-19
Learning Treatment Regimens from Electronic Medical Records
Khanh-Hung HoangTu-Bao Ho
2018-06-16
Conditional probability calculation using restricted Boltzmann machine with application to system identification
Erick de la RosaWen Yu
2018-06-07
Learning from multivariate discrete sequential data using a restricted Boltzmann machine model
Jefferson HernandezAndres G. Abad
2018-04-28
Replica Symmetry Breaking in Bipartite Spin Glasses and Neural Networks
Gavin HartnettEdward ParkerEdward Geist
2018-03-17
Constructing exact representations of quantum many-body systems with deep neural networks
Giuseppe CarleoYusuke NomuraMasatoshi Imada
2018-02-26
Quantum Variational Autoencoder
Amir KhoshamanWalter VinciBrandon DenisEvgeny AndriyashHossein SadeghiMohammad H. Amin
2018-02-15
A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks
Qinliang SuXuejun LiaoLawrence Carin
2017-09-18
On better training the infinite restricted Boltzmann machines
| Xuan PengXunzhang GaoXiang Li
2017-09-11
Statistical Latent Space Approach for Mixed Data Modelling and Applications
Tu Dinh NguyenTruyen TranDinh PhungSvetha Venkatesh
2017-08-18
Extractive Summarization using Deep Learning
| Sukriti VermaVagisha Nidhi
2017-08-15
Spectral Dynamics of Learning Restricted Boltzmann Machines
Aurélien DecelleGiancarlo FissoreCyril Furtlehner
2017-08-09
Discriminative conditional restricted Boltzmann machine for discrete choice and latent variable modelling
Melvin WongBilal FarooqGuillaume-Alexandre Bilodeau
2017-06-01
Associative content-addressable networks with exponentially many robust stable states
Rishidev ChaudhuriIla Fiete
2017-04-06
Equivalence of restricted Boltzmann machines and tensor network states
| Jing ChenSong ChengHaidong XieLei WangTao Xiang
2017-01-17
Restricted Boltzmann Machines with Gaussian Visible Units Guided by Pairwise Constraints
Jielei ChuHongjun WangHua MengPeng JinTianrui Li
2017-01-13
How to Train Your Deep Neural Network with Dictionary Learning
Vanika SinghalShikha SinghAngshul Majumdar
2016-12-22
Neural networks based EEG-Speech Models
Pengfei SunJun Qin
2016-12-16
Imposing higher-level Structure in Polyphonic Music Generation using Convolutional Restricted Boltzmann Machines and Constraints
Stefan LattnerMaarten GrachtenGerhard Widmer
2016-12-14
Statistical mechanics of unsupervised feature learning in a restricted Boltzmann machine with binary synapses
Haiping Huang
2016-12-06
Properties and Bayesian fitting of restricted Boltzmann machines
Andee KaplanDaniel NordmanStephen Vardeman
2016-12-04
Deep Restricted Boltzmann Networks
Hengyuan HuLisheng GaoQuanbin Ma
2016-11-15
Learning Boltzmann Machine with EM-like Method
Jinmeng SongChun Yuan
2016-09-07
Live Orchestral Piano, a system for real-time orchestral music generation
Léopold CrestelPhilippe Esling
2016-09-05
Unsupervised feature learning from finite data by message passing: discontinuous versus continuous phase transition
Haiping HuangTaro Toyoizumi
2016-08-12
Rotation-Invariant Restricted Boltzmann Machine Using Shared Gradient Filters
Mario Valerio GiuffridaSotirios A. Tsaftaris
2016-04-24
Estimating 3D Trajectories from 2D Projections via Disjunctive Factored Four-Way Conditional Restricted Boltzmann Machines
Decebal Constantin MocanuHaitham Bou AmmarLuis PuigEric EatonAntonio Liotta
2016-04-20
An Adaptive Resample-Move Algorithm for Estimating Normalizing Constants
Marco FraccaroUlrich PaquetOle Winther
2016-04-07
Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval
Olivier MorèreJie LinAntoine VeillardVijay ChandrasekharTomaso Poggio
2016-03-15
Matrix Variate RBM and Its Applications
Guanglei QiYanfeng SunJunbin GaoYongli HuJinghua Li
2016-01-05
An unsupervised spatiotemporal graphical modeling approach to anomaly detection in distributed CPS
Chao LiuSambuddha GhosalZhanhong JiangSoumik Sarkar
2015-12-24
Rademacher Complexity of the Restricted Boltzmann Machine
Xiao Zhang
2015-12-07
Mean-Field Inference in Gaussian Restricted Boltzmann Machine
Chako TakahashiMuneki Yasuda
2015-12-03
Dimension of Marginals of Kronecker Product Models
Guido MontufarJason Morton
2015-11-10
Hierarchical Models as Marginals of Hierarchical Models
Guido MontufarJohannes Rauh
2015-08-14
Deep Learning for Semantic Part Segmentation with High-Level Guidance
S. TsogkasI. KokkinosG. PapandreouA. Vedaldi
2015-05-10
Advanced Mean Field Theory of Restricted Boltzmann Machine
Haiping HuangTaro Toyoizumi
2015-02-01
Understanding Minimum Probability Flow for RBMs Under Various Kinds of Dynamics
| Daniel Jiwoong ImEthan BuchmanGraham W. Taylor
2014-12-20
Restricted Boltzmann machines modeling human choice
Takayuki OsogamiMakoto Otsuka
2014-12-01
Subspace Restricted Boltzmann Machine
Jakub M. TomczakAdam Gonczarek
2014-07-16
Geometry and Expressive Power of Conditional Restricted Boltzmann Machines
Guido MontufarNihat AyKeyan Ghazi-Zahedi
2014-02-14
Adaptive Feature Ranking for Unsupervised Transfer Learning
Son N. TranArtur d'Avila Garcez
2013-12-21
Learning to Align from Scratch
Gary HuangMarwan MattarHonglak LeeErik G. Learned-Miller
2012-12-01
Cardinality Restricted Boltzmann Machines
Kevin SwerskyIlya SutskeverDaniel TarlowRichard S. ZemelRuslan R. SalakhutdinovRyan P. Adams
2012-12-01
Disentangling Factors of Variation via Generative Entangling
Guillaume DesjardinsAaron CourvilleYoshua Bengio
2012-10-19
Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines
Matthew D. ZeilerGraham W. TaylorLeonid SigalIain MatthewsRob Fergus
2011-12-01
Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine
George DahlMarc'Aurelio RanzatoAbdel-Rahman MohamedGeoffrey E. Hinton
2010-12-01
Geometry of the restricted Boltzmann machine
| Maria Angelica CuetoJason MortonBernd Sturmfels
2009-08-30
The Recurrent Temporal Restricted Boltzmann Machine
Ilya SutskeverGeoffrey E. HintonGraham W. Taylor
2008-12-01
Sparse Feature Learning for Deep Belief Networks
Marc'Aurelio RanzatoY-Lan BoureauYann L. Cun
2007-12-01

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