conftrace_

restricted boltzmann machine

98 papers

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Also known as

RBM

Co-occurring keywords

generative model (2892) deep belief network (37) unsupervised learning (3264) feature learning (1311) contrastive divergence (32) energy-based model (251) representation learning (6206) neural network (6616) deep learning (2118) probabilistic modeling (852)

Papers

A Knowledge Compilation Map for Quantum Information AAAI 2026
Exponential-Family Harmoniums with Neural Sufficient Statistics AAAI 2025
Finding the Causality of an Event in News Articles COLING 2024
Cascade of phase transitions in the training of energy-based models NIPS 2024
Neurosymbolic Reasoning and Learning with Restricted Boltzmann Machines AAAI 2023
Systematic improvement of neural network quantum states using Lanczos NIPS 2022
Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines NIPS 2021
Hardness of Identity Testing for Restricted Boltzmann Machines and Potts models JMLR 2021
Learning from Positive and Unlabeled Data without Explicit Estimation of Class Prior AAAI 2020
From Boltzmann Machines to Neural Networks and Back Again NIPS 2020
Learning Restricted Boltzmann Machines with Sparse Latent Variables NIPS 2020
Hardness of Identity Testing for Restricted Boltzmann Machines and Potts models COLT 2020
Generating Weighted MAX-2-SAT Instances with Frustrated Loops: an RBM Case Study JMLR 2020
Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract) IJCAI 2020
Simultaneous Conversion of Speaker Identity and Emotion Based on Multiple-Domain Adaptive RBM INTERSPEECH 2020
Whether to Pretrain DNN or not?: An Empirical Analysis for Voice Conversion INTERSPEECH 2019
Generalized Boltzmann Machine with Deep Neural Structure AISTATS 2019
Efficient Learning of Restricted Boltzmann Machines Using Covariance Estimates ACML 2019
LSTBM: A Novel Sequence Representation of Speech Spectra Using Restricted Boltzmann Machine with Long Short-Term Memory INTERSPEECH 2018
Using Inherent Structures to design Lean 2-layer RBMs ICML 2018
Deep Learning the Ising Model Near Criticality JMLR 2018
Deep Recurrent Neural Network Based Monaural Speech Separation Using Recurrent Temporal Restricted Boltzmann Machines INTERSPEECH 2017
Belief Propagation in Conditional RBMs for Structured Prediction AISTATS 2017
CAB: An Energy-Based Speaker Clustering Model for Rapid Adaptation in Non-Parallel Voice Conversion INTERSPEECH 2017
Stochastic Difference of Convex Algorithm and its Application to Training Deep Boltzmann Machines AISTATS 2017