Modeling High-Dimensional Discrete Data with Multi-Layer Neural Networks

No abstract is available for this paper.

• Publication year

  1999

• Venue

  Neural Information Processing Systems

• Publication date

  1999-11-29

• Fields of study

  Mathematics, Computer Science

• Identifiers

  No identifiers available.

• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Graphical Models for Machine Learning and Digital Communication

  1998influential reference
• The EM algorithm for graphical association models with missing data

  1995cited by this paper
• Probabilistic reasoning in intelligent systems: Networks of plausible inference

  1991cited by this paper
• Pattern classification and scene analysis

  1974influential reference
• A Recognition Method Using Neighbor Dependence

  1962cited by this paper

• Multi-Agent Causal Reasoning System for Error Pattern Rule Automation in Vehicles

  2026cites this paper
• A Privacy Based Deep Learning Algorithm for Big Data Analytics

  2025cites this paper
• One-Shot Multi-Label Causal Discovery in High-Dimensional Event Sequences

  2025cites this paper
• Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection

  2025cites this paper
• Enhancing Neural Autoregressive Distribution Estimators for Image Reconstruction

  2025cites this paper
• Fairness-Aware Graph Neural Networks for ICU Length of Stay Prediction in IoT-Enabled Environments

  2025cites this paper
• Motor Imagery EEG Signal Classification Using Minimally Random Convolutional Kernel Transform and Hybrid Deep Learning

  2025cites this paper
• Deep Learning With DAGs

  2024cites this paper
• Enhancing high-resolution reconstruction of flow fields using physics-informed diffusion model with probability flow sampling

  2024cites this paper
• Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling

  2023cites this paper
• Isomorphism, Normalizing Flows, and Density Estimation: Preserving Relationships Between Data

  2023cites this paper
• A Deep Learning Approach for Classification of Medicare Beneficiaries Based on Gender and being Affected with Cancer

  2023cites this paper
• DEMANDE: Density Matrix Neural Density Estimation

  2023cites this paper
• C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting

  2023cites this paper
• Direct Coupling of Microkinetic and Reactor Models Using Neural Networks

  2023cites this paper
• Consistency Models

  2023cites this paper
• Gravitational-wave template banks for novel compact binaries

  2023cites this paper
• Unifying Generative Models with GFlowNets

  2022cites this paper
• Quasi-Bayesian nonparametric density estimation via autoregressive predictive updates

  2022cites this paper
• Hybrid fuzzy deep neural network toward temporal-spatial-frequency features learning of motor imagery signals

  2022cites this paper
• Machine Learning-Based Crop Stress Detection in Greenhouses

  2022cites this paper
• Scalable neural quantum states architecture for quantum chemistry

  2022cites this paper
• Quantum Adaptive Fourier Features for Neural Density Estimation

  2022cites this paper
• Visual-Assisted Sound Source Depth Estimation in the Wild

  2022cites this paper
• A Learning Large Neighborhood Search for the Staff Rerostering Problem

  2022cites this paper
• Density Estimation with Autoregressive Bayesian Predictives

  2022cites this paper
• Data management for production quality deep learning models: Challenges and solutions

  2022cites this paper
• Towards an AI‐driven business development framework: A multi‐case study

  2022cites this paper
• ShapeFormer: Transformer-based Shape Completion via Sparse Representation

  2022cites this paper
• Transforming Autoregression: Interpretable and Expressive Time Series Forecast

  2021cites this paper
• On the analysis of discrete data finding dependencies in small sample sizes

  2021cites this paper
• Scaling of Neural‐Network Quantum States for Time Evolution

  2021cites this paper
• SceneGen: Learning to Generate Realistic Traffic Scenes

  2021cites this paper
• Overcoming Barriers to Scalability in Variational Quantum Monte Carlo

  2021cites this paper
• Joint Symmetric Tensor Decomposition for Hypergraph Embeddings

  2021cites this paper
• Probabilistic time series forecasts with autoregressive transformation models

  2021cites this paper
• Parallelized Rate-Distortion Optimized Quantization Using Deep Learning

  2020cites this paper
• Advances in deep learning with limited supervision and computational resources

  2020cites this paper
• On Advances in Deep Learning with Applications in Financial Market Modeling

  2020cites this paper
• Stock2Vec: A Hybrid Deep Learning Framework for Stock Market Prediction with Representation Learning and Temporal Convolutional Network

  2020cites this paper
• Developing ML/DL Models: A Design Framework

  2020cites this paper
• Parameter-Efficient Transfer from Sequential Behaviors for User Profiling and Recommendation

  2020cites this paper
• Estimating causal effects with the neural autoregressive density estimator

  2020influential citation
• Exact and Relaxed Convex Formulations for Shallow Neural Autoregressive Models

  2020cites this paper
• Locally Masked Convolution for Autoregressive Models

  2020cites this paper
• A Review on Deep Learning Techniques for Video Prediction

  2020cites this paper
• Machine learning predictive model based on national data for fatal accidents of construction workers

  2020cites this paper
• Text-to-Image Generation with Attention Based Recurrent Neural Networks

  2020cites this paper
• Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation

  2020cites this paper
• Deep-Learning Tracking for Autonomous Flying Systems Under Adversarial Inputs

  2020cites this paper
• Image generation using deep adversarial generative models on graphs

  2020cites this paper
• Development and evaluation of a Polish Automatic Speech Recognition system using the TLK toolkit

  2020cites this paper
• Masked graph modeling for molecule generation

  2020cites this paper
• Neural Autoregressive Distribution Estimation

  2020cites this paper
• Solving Mixed Integer Programs Using Neural Networks

  2020influential citation
• Self-supervised learning of predictive segmentation models from video. (Apprentissage autosupervisé de modèles prédictifs de segmentation à partir de vidéos)

  2019cites this paper
• Examining multi-category cross purchases models with increasing dataset scale - An artificial neural network approach

  2019cites this paper
• TzK: Flow-Based Conditional Generative Model

  2019cites this paper
• General Probabilistic Surface Optimization and Log Density Estimation

  2019cites this paper
• Real time violence detection framework for football stadium comprising of big data analysis and deep learning through bidirectional LSTM

  2019cites this paper
• Sum-of-Squares Polynomial Flow

  2019influential citation
• Learning robotic manipulation from user demonstrations 2017

  2019cites this paper
• XLNet: Generalized Autoregressive Pretraining for Language Understanding

  2019cites this paper
• Tails of Triangular Flows

  2019cites this paper
• Semantic Analysis of Tourism Vocabulary Based on Similar Words Calculation

  2019cites this paper
• 0 Ju l 2 01 9 Tails of Triangular Flows

  2019cites this paper
• Neural Network Approach for Semantic Coding of Words

  2019cites this paper
• A Neural Probabilistic outlier detection method for categorical data

  2019cites this paper
• Predictive Coding, Variational Autoencoders, and Biological Connections

  2019cites this paper
• Positional Attention-based Frame Identification with BERT: A Deep Learning Approach to Target Disambiguation and Semantic Frame Selection

  2019cites this paper
• Normalizing Flows for Probabilistic Modeling and Inference

  2019cites this paper
• Improving sequential latent variable models with autoregressive flows

  2019cites this paper
• Incorporating Semantic Word Representations into Query Expansion for Microblog Information Retrieval

  2019cites this paper
• Likelihood-based Density Estimation using Deep Architectures

  2019cites this paper
• Deep Learning and its Applications: A Survey

  2019cites this paper
• Advances in Machine Learning: Nearest Neighbour Search, Learning to Optimize and Generative Modelling

  2019cites this paper
• Self-supervised learning of predictive segmentation models from video

  2019cites this paper
• Deep Learning-Based Video Coding

  2019cites this paper
• D EEP G ENERATIVE M ODELS (P ART 2)

  2019cites this paper
• IMPROVING SEQUENTIAL LATENT VARIABLE MODELS

  2019cites this paper
• A Survey on Machine Learning-Based Mobile Big Data Analysis: Challenges and Applications

  2018cites this paper
• Hyperedge2vec: Distributed Representations for Hyperedges

  2018cites this paper
• Black-Box Autoregressive Density Estimation for State-Space Models

  2018cites this paper
• Fuzzy autoencoder for multiple change detection in remote sensing images

  2018cites this paper
• Comparison of Four Types of Artificial Neural Network and a Multinomial Logit Model for Travel Mode Choice Modeling

  2018cites this paper
• Software Engineering Challenges of Deep Learning

  2018cites this paper
• Implicit Maximum Likelihood Estimation

  2018cites this paper
• The Variational Playground for Machine Learning in Statistical Physics

  2018cites this paper
• A Comparative Study of Machine Learning Frameworks for Demand Forecasting

  2018cites this paper
• Deep PDF: Probabilistic Surface Optimization and Density Estimation

  2018cites this paper
• Learning Deep Generative Models With Doubly Stochastic Gradient MCMC

  2018influential citation
• PPCS-MMDML: Integrated Privacy-Based Approach for Big Data Heterogeneous Image Set Classification

  2018cites this paper
• Towards a generalized toxicity prediction model for oxide nanomaterials using integrated data from different sources

  2018cites this paper
• Image Transformer

  2018cites this paper
• Adversarial Transfer Learning

  2018cites this paper
• A Survey of Unsupervised Deep Domain Adaptation

  2018cites this paper
• Multiple Bayesian discriminant functions for high-dimensional massive data classification

  2017cites this paper
• Autoencoder-Enhanced Sum-Product Networks

  2017cites this paper
• Unsupervised feature learning and automatic modulation classification using deep learning model

  2017cites this paper
• Generative Compression

  2017cites this paper