{"total":1323,"rows":[{"id":"2210.02747","title":"Flow Matching for Generative Modeling","created":"2022-10-06","cited_by_count":5702,"area":"wm"},{"id":"2203.00667","title":"Generative Adversarial Networks","created":"2022-03-01","cited_by_count":5627,"area":null},{"id":"2209.03003","title":"Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow","created":"2022-09-07","cited_by_count":3700,"area":"diffusion"},{"id":"2107.03006","title":"Structured Denoising Diffusion Models in Discrete State-Spaces","created":"2021-07-07","cited_by_count":1719,"area":"wm"},{"id":"2209.00796","title":"Diffusion Models: A Comprehensive Survey of Methods and Applications","created":"2022-09-02","cited_by_count":1114,"area":"diffusion"},{"id":"2104.03670","title":"3D Shape Generation and Completion through Point-Voxel Diffusion","created":"2021-04-08","cited_by_count":516,"area":null},{"id":"2309.06380","title":"InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation","created":"2023-09-12","cited_by_count":395,"area":"diffusion"},{"id":"2410.05954","title":"Pyramidal Flow Matching for Efficient Video Generative Modeling","created":"2024-10-08","cited_by_count":366,"area":"diffusion"},{"id":"2501.12202","title":"Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation","created":"2025-01-21","cited_by_count":356,"area":"diffusion"},{"id":"2101.12072","title":"Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting","created":"2021-01-28","cited_by_count":337,"area":"diffusion"},{"id":"2107.12571","title":"CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows","created":"2021-07-27","cited_by_count":321,"area":null},{"id":"2106.04619","title":"Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style","created":"2021-06-08","cited_by_count":312,"area":null},{"id":"2211.07804","title":"Diffusion Models for Medical Image Analysis: A Comprehensive Survey","created":"2022-11-14","cited_by_count":273,"area":"diffusion"},{"id":"2103.04922","title":"Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models","created":"2021-03-08","cited_by_count":252,"area":null},{"id":"2209.02646","title":"A Survey on Generative Diffusion Model","created":"2022-09-06","cited_by_count":240,"area":"diffusion"},{"id":"2202.02763","title":"Riemannian Score-Based Generative Modelling","created":"2022-02-06","cited_by_count":219,"area":"diffusion"},{"id":"2106.09022","title":"A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection","created":"2021-06-16","cited_by_count":207,"area":null},{"id":"2111.13606","title":"Conditional Image Generation with Score-Based Diffusion Models","created":"2021-11-26","cited_by_count":197,"area":"diffusion"},{"id":"2106.15561","title":"A Survey on Neural Speech Synthesis","created":"2021-06-29","cited_by_count":184,"area":null},{"id":"2208.09481","title":"Graph neural networks for materials science and chemistry","created":"2022-08-05","cited_by_count":182,"area":null},{"id":"2101.04653","title":"Benchmarking Simulation-Based Inference","created":"2021-01-12","cited_by_count":162,"area":null},{"id":"2302.13834","title":"Denoising Diffusion Samplers","created":"2023-02-27","cited_by_count":149,"area":"diffusion"},{"id":"2211.01364","title":"An optimal control perspective on diffusion-based generative modeling","created":"2022-11-02","cited_by_count":147,"area":"diffusion"},{"id":"2402.15194","title":"Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control","created":"2024-02-23","cited_by_count":143,"area":"diffusion"},{"id":"2306.15030","title":"Equivariant flow matching","created":"2023-06-26","cited_by_count":135,"area":"diffusion"},{"id":"2208.01893","title":"Flow Annealed Importance Sampling Bootstrap","created":"2022-08-03","cited_by_count":127,"area":null},{"id":"2506.16504","title":"Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Details","created":"2025-06-19","cited_by_count":125,"area":"diffusion"},{"id":"2303.00938","title":"UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy","created":"2023-03-02","cited_by_count":124,"area":null},{"id":"2402.06121","title":"Iterated Denoising Energy Matching for Sampling from Boltzmann Densities","created":"2024-02-09","cited_by_count":116,"area":null},{"id":"2306.00542","title":"Nonparametric Identifiability of Causal Representations from Unknown Interventions","created":"2023-06-01","cited_by_count":106,"area":null},{"id":"2307.01198","title":"Improved sampling via learned diffusions","created":"2023-07-03","cited_by_count":104,"area":null},{"id":"2110.13040","title":"Neural Flows: Efficient Alternative to Neural ODEs","created":"2021-10-25","cited_by_count":101,"area":null},{"id":"2305.17161","title":"Flow Matching for Scalable Simulation-Based Inference","created":"2023-05-26","cited_by_count":101,"area":"diffusion"},{"id":"2106.05200","title":"Independent mechanism analysis, a new concept?","created":"2021-06-09","cited_by_count":97,"area":null},{"id":"2102.07501","title":"Annealed Flow Transport Monte Carlo","created":"2021-02-15","cited_by_count":90,"area":null},{"id":"2409.11169","title":"MAISI: Medical AI for Synthetic Imaging","created":"2024-09-13","cited_by_count":87,"area":"diffusion"},{"id":"2406.04843","title":"Variational Flow Matching for Graph Generation","created":"2024-06-07","cited_by_count":83,"area":"diffusion"},{"id":"2304.00917","title":"Diffusion Bridge Mixture Transports, Schr\\\"odinger Bridge Problems and Generative Modeling","created":"2023-04-03","cited_by_count":80,"area":null},{"id":"2107.12979","title":"Predictive Coding: a Theoretical and Experimental Review","created":"2021-07-27","cited_by_count":77,"area":null},{"id":"2302.00600","title":"Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics","created":"2023-02-01","cited_by_count":72,"area":"diffusion"},{"id":"2205.11402","title":"Causal Machine Learning for Healthcare and Precision Medicine","created":"2022-05-23","cited_by_count":68,"area":null},{"id":"2108.08052","title":"Moser Flow: Divergence-based Generative Modeling on Manifolds","created":"2021-08-18","cited_by_count":67,"area":null},{"id":"2305.17209","title":"Functional Flow Matching","created":"2023-05-26","cited_by_count":67,"area":"diffusion"},{"id":"2201.13117","title":"Continual Repeated Annealed Flow Transport Monte Carlo","created":"2022-01-31","cited_by_count":66,"area":null},{"id":"2301.05339","title":"A Comprehensive Review of Data-Driven Co-Speech Gesture Generation","created":"2023-01-13","cited_by_count":66,"area":null},{"id":"2402.19470","title":"Towards Generalizable Tumor Synthesis","created":"2024-02-29","cited_by_count":65,"area":null},{"id":"2203.13508","title":"BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis","created":"2022-03-25","cited_by_count":64,"area":"diffusion"},{"id":"2401.00736","title":"Diffusion Models, Image Super-Resolution And Everything: A Survey","created":"2024-01-01","cited_by_count":64,"area":"diffusion"},{"id":"2308.12240","title":"KL Convergence Guarantees for Score diffusion models under minimal data assumptions","created":"2023-08-23","cited_by_count":63,"area":"diffusion"},{"id":"2403.10672","title":"Riemannian Flow Matching Policy for Robot Motion Learning","created":"2024-03-15","cited_by_count":63,"area":"diffusion"},{"id":"2402.07487","title":"Score-based Diffusion Models via Stochastic Differential Equations -- a Technical Tutorial","created":"2024-02-12","cited_by_count":60,"area":"diffusion"},{"id":"2108.08020","title":"Speech Drives Templates: Co-Speech Gesture Synthesis with Learned Templates","created":"2021-08-18","cited_by_count":58,"area":null},{"id":"2404.09730","title":"Convergence Analysis of Probability Flow ODE for Score-based Generative Models","created":"2024-04-15","cited_by_count":57,"area":"diffusion"},{"id":"2103.05487","title":"UnICORNN: A recurrent model for learning very long time dependencies","created":"2021-03-09","cited_by_count":56,"area":null},{"id":"2106.03787","title":"Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint","created":"2021-06-07","cited_by_count":56,"area":null},{"id":"2212.01747","title":"Fast Point Cloud Generation with Straight Flows","created":"2022-12-04","cited_by_count":56,"area":"diffusion"},{"id":"2302.12014","title":"normflows: A PyTorch Package for Normalizing Flows","created":"2023-01-26","cited_by_count":56,"area":null},{"id":"2305.17225","title":"Causal Component Analysis","created":"2023-05-26","cited_by_count":56,"area":null},{"id":"2406.07423","title":"Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling","created":"2024-06-11","cited_by_count":56,"area":null},{"id":"2104.06159","title":"Muesli: Combining Improvements in Policy Optimization","created":"2021-04-13","cited_by_count":53,"area":null},{"id":"2110.00351","title":"Smooth Normalizing Flows","created":"2021-10-01","cited_by_count":53,"area":null},{"id":"2208.06406","title":"Function Classes for Identifiable Nonlinear Independent Component Analysis","created":"2022-08-12","cited_by_count":53,"area":null},{"id":"2312.12112","title":"Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes","created":"2023-12-19","cited_by_count":52,"area":null},{"id":"2306.05415","title":"Causal normalizing flows: from theory to practice","created":"2023-06-08","cited_by_count":51,"area":"lr"},{"id":"2106.01413","title":"Rectangular Flows for Manifold Learning","created":"2021-06-02","cited_by_count":50,"area":null},{"id":"2210.04872","title":"Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models","created":"2022-10-10","cited_by_count":50,"area":"diffusion"},{"id":"2105.04551","title":"Stochastic Image-to-Video Synthesis using cINNs","created":"2021-05-10","cited_by_count":49,"area":null},{"id":"2206.04642","title":"Probability flow solution of the Fokker-Planck equation","created":"2022-06-09","cited_by_count":47,"area":null},{"id":"2311.18387","title":"On Exact Inversion of DPM-Solvers","created":"2023-11-30","cited_by_count":47,"area":"diffusion"},{"id":"2312.07495","title":"Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection","created":"2023-12-12","cited_by_count":47,"area":null},{"id":"2404.02954","title":"Deep Generative Models through the Lens of the Manifold Hypothesis: A Survey and New Connections","created":"2024-04-03","cited_by_count":47,"area":"diffusion"},{"id":"2410.14919","title":"Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step","created":"2024-10-19","cited_by_count":47,"area":"diffusion"},{"id":"2106.05285","title":"CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows","created":"2021-06-09","cited_by_count":46,"area":null},{"id":"2108.12043","title":"Learning Disentangled Representations in the Imaging Domain","created":"2021-08-26","cited_by_count":46,"area":null},{"id":"2210.06564","title":"Robust Neural Posterior Estimation and Statistical Model Criticism","created":"2022-10-12","cited_by_count":46,"area":null},{"id":"2302.03026","title":"Sampling-Based Accuracy Testing of Posterior Estimators for General Inference","created":"2023-02-06","cited_by_count":46,"area":null},{"id":"2406.14426","title":"Transferable Boltzmann Generators","created":"2024-06-20","cited_by_count":46,"area":null},{"id":"2103.01133","title":"Posterior Meta-Replay for Continual Learning","created":"2021-03-01","cited_by_count":45,"area":null},{"id":"2209.01845","title":"Investigating the Impact of Model Misspecification in Neural Simulation-based Inference","created":"2022-09-05","cited_by_count":45,"area":null},{"id":"2404.12940","title":"Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling","created":"2024-04-19","cited_by_count":45,"area":"diffusion"},{"id":"2111.01564","title":"MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks","created":"2021-11-02","cited_by_count":44,"area":null},{"id":"2205.09435","title":"Adversarial random forests for density estimation and generative modeling","created":"2022-05-19","cited_by_count":44,"area":null},{"id":"2512.03052","title":"LATTICE: Democratize High-Fidelity 3D Generation at Scale","created":"2025-11-24","cited_by_count":44,"area":null},{"id":"2203.04176","title":"Variational methods for simulation-based inference","created":"2022-03-08","cited_by_count":43,"area":null},{"id":"2302.02228","title":"Counterfactual Identifiability of Bijective Causal Models","created":"2023-02-04","cited_by_count":43,"area":null},{"id":"2107.02790","title":"iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis","created":"2021-07-06","cited_by_count":42,"area":null},{"id":"2110.15828","title":"Resampling Base Distributions of Normalizing Flows","created":"2021-10-29","cited_by_count":42,"area":null},{"id":"2312.04521","title":"Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping","created":"2023-12-07","cited_by_count":42,"area":null},{"id":"2310.00724","title":"Subtractive Mixture Models via Squaring: Representation and Learning","created":"2023-10-01","cited_by_count":39,"area":null},{"id":"2404.12484","title":"Neural Methods for Amortized Inference","created":"2024-04-18","cited_by_count":39,"area":null},{"id":"2202.03528","title":"TACTiS: Transformer-Attentional Copulas for Time Series","created":"2022-02-07","cited_by_count":38,"area":null},{"id":"2205.15463","title":"Few-Shot Diffusion Models","created":"2022-05-30","cited_by_count":38,"area":"diffusion"},{"id":"2308.10364","title":"SE(3) Equivariant Augmented Coupling Flows","created":"2023-08-20","cited_by_count":37,"area":null},{"id":"2108.11514","title":"Bilateral Denoising Diffusion Models","created":"2021-08-26","cited_by_count":36,"area":"diffusion"},{"id":"2202.03101","title":"Nonparametric Uncertainty Quantification for Single Deterministic Neural Network","created":"2022-02-07","cited_by_count":36,"area":null},{"id":"2203.06481","title":"GATSBI: Generative Adversarial Training for Simulation-Based Inference","created":"2022-03-12","cited_by_count":36,"area":null},{"id":"2203.11167","title":"Flow-matching -- efficient coarse-graining of molecular dynamics without forces","created":"2022-03-21","cited_by_count":36,"area":"diffusion"},{"id":"2303.12410","title":"EDGI: Equivariant Diffusion for Planning with Embodied Agents","created":"2023-03-22","cited_by_count":36,"area":"diffusion"},{"id":"2306.05724","title":"Explaining Predictive Uncertainty with Information Theoretic Shapley Values","created":"2023-06-09","cited_by_count":36,"area":null},{"id":"2310.01753","title":"CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery","created":"2023-10-03","cited_by_count":36,"area":null}],"next_cursor":"100"}