{"total":37,"rows":[{"id":"2207.06966","title":"Scene Text Recognition with Permuted Autoregressive Sequence Models","created":"2022-07-14","cited_by_count":149,"area":null},{"id":"2101.06541","title":"SceneGen: Learning to Generate Realistic Traffic Scenes","created":"2021-01-16","cited_by_count":84,"area":null},{"id":"2205.13554","title":"Training and Inference on Any-Order Autoregressive Models the Right Way","created":"2022-05-26","cited_by_count":64,"area":null},{"id":"2212.01842","title":"GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation","created":"2022-12-04","cited_by_count":43,"area":null},{"id":"2202.03528","title":"TACTiS: Transformer-Attentional Copulas for Time Series","created":"2022-02-07","cited_by_count":38,"area":null},{"id":"2306.08620","title":"Anticipatory Music Transformer","created":"2023-06-14","cited_by_count":36,"area":null},{"id":"2506.01928","title":"Esoteric Language Models: A Family of Any-Order Diffusion LLMs","created":"2025-06-02","cited_by_count":34,"area":null},{"id":"2303.14468","title":"Autoregressive Conditional Neural Processes","created":"2023-03-25","cited_by_count":33,"area":null},{"id":"2211.05641","title":"Regression as Classification: Influence of Task Formulation on Neural Network Features","created":"2022-11-10","cited_by_count":29,"area":null},{"id":"2503.05979","title":"Learning-Order Autoregressive Models with Application to Molecular Graph Generation","created":"2025-03-07","cited_by_count":29,"area":null},{"id":"2509.04185","title":"Set Block Decoding is a Language Model Inference Accelerator","created":"2025-09-04","cited_by_count":23,"area":null},{"id":"2102.04426","title":"Arbitrary Conditional Distributions with Energy","created":"2021-02-08","cited_by_count":22,"area":null},{"id":"2106.12974","title":"Tensor networks for unsupervised machine learning","created":"2021-06-24","cited_by_count":21,"area":null},{"id":"2108.05094","title":"Representation Learning for Remote Sensing: An Unsupervised Sensor Fusion Approach","created":"2021-08-11","cited_by_count":14,"area":null},{"id":"2403.06235","title":"Probabilistic Neural Circuits","created":"2024-03-10","cited_by_count":7,"area":null},{"id":"2106.06989","title":"The DEformer: An Order-Agnostic Distribution Estimating Transformer","created":"2021-06-13","cited_by_count":5,"area":null},{"id":"2310.12920","title":"Generative Marginalization Models","created":"2023-10-19","cited_by_count":5,"area":null},{"id":"2510.09477","title":"Efficient Autoregressive Inference for Transformer Probabilistic Models","created":"2025-10-10","cited_by_count":4,"area":null},{"id":"2208.02246","title":"AdaCat: Adaptive Categorical Discretization for Autoregressive Models","created":"2022-08-03","cited_by_count":3,"area":null},{"id":"2408.04461","title":"Random Walk Diffusion for Efficient Large-Scale Graph Generation","created":"2024-08-08","cited_by_count":3,"area":null},{"id":"2410.09675","title":"COrAL: Order-Agnostic Language Modeling for Efficient Iterative Refinement","created":"2024-10-12","cited_by_count":3,"area":null},{"id":"2608.06004","title":"Do Tabular Foundation Models Agree with Themselves?","created":"2026-08-06","cited_by_count":3,"area":null},{"id":"2111.11703","title":"A Contextual Latent Space Model: Subsequence Modulation in Melodic Sequence","created":"2021-11-23","cited_by_count":2,"area":null},{"id":"2206.11172","title":"Neural Inverse Transform Sampler","created":"2022-06-22","cited_by_count":2,"area":null},{"id":"2502.09587","title":"Rolling Ahead Diffusion for Traffic Scene Simulation","created":"2025-02-13","cited_by_count":2,"area":null},{"id":"2210.00828","title":"Mastering Spatial Graph Prediction of Road Networks","created":"2022-10-03","cited_by_count":1,"area":null},{"id":"2401.16433","title":"Within-basket Recommendation via Neural Pattern Associator","created":"2024-01-25","cited_by_count":1,"area":null},{"id":"2411.06608","title":"MolMiner: Toward Controllable, 3D-Aware, Fragment-Based Molecular Design","created":"2024-11-10","cited_by_count":1,"area":null},{"id":"2504.17069","title":"Distilling Specialized Orders for Visual Generation","created":"2025-04-23","cited_by_count":1,"area":null},{"id":"2112.10543","title":"Spiral Language Modeling","created":"2021-12-20","cited_by_count":0,"area":null},{"id":"2410.14485","title":"CaTs and DAGs: Integrating Directed Acyclic Graphs with Transformers for Causally Constrained Predictions","created":"2024-10-18","cited_by_count":0,"area":null},{"id":"2506.05391","title":"Enhancing Neural Autoregressive Distribution Estimators for Image Reconstruction","created":"2025-06-03","cited_by_count":0,"area":null},{"id":"2510.22651","title":"Variational Polya Tree","created":"2025-10-26","cited_by_count":0,"area":null},{"id":"2603.01444","title":"Autoregressive Synthesis of Sparse and Semi-Structured Mixed-Type Data","created":"2026-03-02","cited_by_count":0,"area":null},{"id":"2605.06355","title":"Order-Agnostic Autoregressive Modelling with Missing Data","created":"2026-05-07","cited_by_count":0,"area":null},{"id":"2609.05801","title":"Evidence-Aligned Local Composition of Discrete Experts for Sequence Restoration","created":"2026-09-05","cited_by_count":0,"area":null},{"id":"2610.01739","title":"Fixed-point neural samplers on discrete spaces","created":"2026-10-01","cited_by_count":0,"area":null}],"next_cursor":null}