{"total":70,"rows":[{"id":"2312.15796","title":"GenCast: Diffusion-based ensemble forecasting for medium-range weather","created":"2023-12-25","cited_by_count":177,"area":null},{"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":"2303.11579","title":"Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation","created":"2023-03-21","cited_by_count":82,"area":null},{"id":"2406.15339","title":"Image Conductor: Precision Control for Interactive Video Synthesis","created":"2024-06-21","cited_by_count":63,"area":null},{"id":"2209.14249","title":"Compositional Score Modeling for Simulation-based Inference","created":"2022-09-28","cited_by_count":48,"area":null},{"id":"2412.17098","title":"DreamOmni: Unified Image Generation and Editing","created":"2024-12-22","cited_by_count":30,"area":null},{"id":"2404.06665","title":"Deep Generative Data Assimilation in Multimodal Setting","created":"2024-04-10","cited_by_count":29,"area":null},{"id":"2408.12171","title":"Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey","created":"2024-08-22","cited_by_count":28,"area":null},{"id":"2311.05672","title":"Conditional Optimal Transport on Function Spaces","created":"2023-11-09","cited_by_count":26,"area":null},{"id":"2310.03054","title":"Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel","created":"2023-10-04","cited_by_count":25,"area":null},{"id":"2309.01043","title":"Distribution learning via neural differential equations: a nonparametric statistical perspective","created":"2023-09-03","cited_by_count":22,"area":null},{"id":"2404.15955","title":"Beyond Deepfake Images: Detecting AI-Generated Videos","created":"2024-04-24","cited_by_count":22,"area":null},{"id":"2305.01822","title":"Unpaired Downscaling of Fluid Flows with Diffusion Bridges","created":"2023-05-02","cited_by_count":21,"area":null},{"id":"2310.16975","title":"Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian Inference","created":"2023-10-25","cited_by_count":20,"area":null},{"id":"2404.07593","title":"Diffusion posterior sampling for simulation-based inference in tall data settings","created":"2024-04-11","cited_by_count":19,"area":null},{"id":"2412.16212","title":"ManiVideo: Generating Hand-Object Manipulation Video with Dexterous and Generalizable Grasping","created":"2024-12-18","cited_by_count":18,"area":null},{"id":"2601.18111","title":"Demystifying Data-Driven Probabilistic Medium-Range Weather Forecasting","created":"2026-01-26","cited_by_count":15,"area":null},{"id":"2303.15845","title":"Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems","created":"2023-03-28","cited_by_count":13,"area":null},{"id":"2508.06080","title":"DreamVE: Unified Instruction-based Image and Video Editing","created":"2025-08-08","cited_by_count":11,"area":null},{"id":"2312.16611","title":"Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction","created":"2023-12-27","cited_by_count":9,"area":null},{"id":"2411.07154","title":"Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps","created":"2024-11-11","cited_by_count":9,"area":null},{"id":"2502.09655","title":"Bidirectional Diffusion Bridge Models","created":"2025-02-12","cited_by_count":8,"area":null},{"id":"2307.04102","title":"A generative flow for conditional sampling via optimal transport","created":"2023-07-09","cited_by_count":7,"area":null},{"id":"2308.14945","title":"Noise-Free Sampling Algorithms via Regularized Wasserstein Proximals","created":"2023-08-28","cited_by_count":7,"area":null},{"id":"2404.08814","title":"E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors to New Generators Using Limited Data","created":"2024-04-12","cited_by_count":7,"area":null},{"id":"2405.16837","title":"Enhancing Accuracy in Generative Models via Knowledge Transfer","created":"2024-05-27","cited_by_count":7,"area":null},{"id":"2407.16550","title":"A Kernel-Based Conditional Two-Sample Test Using Nearest Neighbors (with Applications to Calibration, Regression Curves, and Simulation-Based Inference)","created":"2024-07-23","cited_by_count":7,"area":null},{"id":"2401.09742","title":"Image Translation as Diffusion Visual Programmers","created":"2024-01-18","cited_by_count":5,"area":null},{"id":"2410.01218","title":"An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring","created":"2024-10-02","cited_by_count":5,"area":null},{"id":"2403.18334","title":"DODA: Adapting Object Detectors to Dynamic Agricultural Environments in Real-Time with Diffusion","created":"2024-03-27","cited_by_count":4,"area":null},{"id":"2411.06651","title":"Machine learning-enabled velocity model building with uncertainty quantification","created":"2024-11-11","cited_by_count":4,"area":null},{"id":"2506.23726","title":"System-Embedded Diffusion Bridge Models","created":"2025-06-30","cited_by_count":4,"area":null},{"id":"2508.15196","title":"GEN2: A Generative Prediction-Correction Framework for Long-time Emulations of Spatially-Resolved Climate Extremes","created":"2025-08-21","cited_by_count":4,"area":null},{"id":"2512.06702","title":"Pathway to $O(\\sqrt{d})$ Complexity bound under Wasserstein metric of flow-based models","created":"2025-12-07","cited_by_count":4,"area":null},{"id":"2207.11581","title":"Self-supervised contrastive learning of echocardiogram videos enables label-efficient cardiac disease diagnosis","created":"2022-07-23","cited_by_count":3,"area":null},{"id":"2404.05445","title":"Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation","created":"2024-04-08","cited_by_count":3,"area":null},{"id":"2409.17294","title":"Schr\\\"odinger bridge based deep conditional generative learning","created":"2024-09-25","cited_by_count":3,"area":null},{"id":"2504.20375","title":"Generative Learning for Slow Manifolds and Bifurcation Diagrams","created":"2025-04-29","cited_by_count":3,"area":null},{"id":"2603.12057","title":"Adaptive Weighted h-Transform Sampling for Coarse-Guided Visual Generation","created":"2026-03-12","cited_by_count":3,"area":null},{"id":"2205.15428","title":"Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image Segmentation","created":"2022-05-30","cited_by_count":2,"area":null},{"id":"2312.10191","title":"Tell Me What You See: Text-Guided Real-World Image Denoising","created":"2023-12-15","cited_by_count":2,"area":null},{"id":"2509.03910","title":"An invertible generative model for forward and inverse problems","created":"2025-09-04","cited_by_count":2,"area":null},{"id":"2510.09685","title":"Deep Neural Networks Inspired by Differential Equations","created":"2025-10-09","cited_by_count":2,"area":null},{"id":"2512.14162","title":"FastDDHPose: Towards Unified, Efficient, and Disentangled 3D Human Pose Estimation","created":"2025-12-16","cited_by_count":2,"area":null},{"id":"2602.02560","title":"Auditing Sybil: Explaining Deep Lung Cancer Risk Prediction Through Generative Interventional Attributions","created":"2026-01-30","cited_by_count":2,"area":null},{"id":"2604.09715","title":"MuPPet: Multi-person 2D-to-3D Pose Lifting","created":"2026-04-08","cited_by_count":2,"area":null},{"id":"2606.17048","title":"Exact Posterior Score Estimation for Solving Linear Inverse Problems","created":"2026-06-15","cited_by_count":2,"area":null},{"id":"2205.12639","title":"TreEnhance: A Tree Search Method For Low-Light Image Enhancement","created":"2022-05-25","cited_by_count":1,"area":null},{"id":"2407.01559","title":"Data-driven approaches for electrical impedance tomography image segmentation from partial boundary data","created":"2024-05-06","cited_by_count":1,"area":null},{"id":"2408.15693","title":"Synthetic Forehead-creases Biometric Generation for Reliable User Verification","created":"2024-08-28","cited_by_count":1,"area":null},{"id":"2503.17735","title":"RDTF: Resource-efficient Dual-mask Training Framework for Multi-frame Animated Sticker Generation","created":"2025-03-22","cited_by_count":1,"area":null},{"id":"2506.19360","title":"SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation","created":"2025-06-24","cited_by_count":1,"area":null},{"id":"2601.23231","title":"Solving Inverse Problems with Flow-based Models via Model Predictive Control","created":"2026-01-30","cited_by_count":1,"area":null},{"id":"2603.17750","title":"Towards Infinitely Long Neural Simulations: Self-Refining Neural Surrogate Models for Dynamical Systems","created":"2026-03-18","cited_by_count":1,"area":null},{"id":"2606.27192","title":"LISA: Likelihood Score Alignment for Visual-condition Controllable Generation","created":"2026-06-25","cited_by_count":1,"area":null},{"id":"2309.09764","title":"Application-driven Validation of Posteriors in Inverse Problems","created":"2023-09-18","cited_by_count":0,"area":null},{"id":"2501.09659","title":"Fokker-Planck to Callan-Symanzik: evolution of weight matrices under training","created":"2025-01-16","cited_by_count":0,"area":null},{"id":"2501.13889","title":"Generating Realistic Forehead-Creases for User Verification via Conditioned Piecewise Polynomial Curves","created":"2025-01-23","cited_by_count":0,"area":null},{"id":"2508.10587","title":"Self-Supervised Temporal Super-Resolution of Energy Data using Generative Adversarial Transformer","created":"2025-08-14","cited_by_count":0,"area":null},{"id":"2602.13010","title":"Probabilistic Wind Power Forecasting with Tree-Based Machine Learning and Weather Ensembles","created":"2026-02-13","cited_by_count":0,"area":null},{"id":"2602.23305","title":"A Proper Scoring Rule for Virtual Staining","created":"2026-02-26","cited_by_count":0,"area":null},{"id":"2603.18817","title":"Seasoning Generative Models for a Generalization Aftertaste","created":"2026-03-19","cited_by_count":0,"area":null},{"id":"2604.05303","title":"Jeffreys Flow: Robust Boltzmann Generators for Rare Event Sampling via Parallel Tempering Distillation","created":"2026-04-07","cited_by_count":0,"area":null},{"id":"2605.06905","title":"Conservative Flows: A New Paradigm of Generative Models","created":"2026-05-07","cited_by_count":0,"area":null},{"id":"2606.20404","title":"FlowBender: Feedback-Aware Training for Self-Correcting Conditional Flows","created":"2026-06-18","cited_by_count":0,"area":null},{"id":"2606.20920","title":"$\\Omega$: Operator-based Mixture Ensemble for Generative Assimilation","created":"2026-06-18","cited_by_count":0,"area":null},{"id":"2608.08115","title":"SUMI: Scalable Unified Model for 3D Point Cloud Inference","created":"2026-08-08","cited_by_count":0,"area":null},{"id":"2609.02958","title":"PrivateHub: Contrastive Diffusion Model for Private Sensor-Intensive Environment Data Generation","created":"2026-09-02","cited_by_count":0,"area":null},{"id":"2609.05688","title":"Connecting Score Matching, Maximum Likelihood, and Expectation-Maximization in Mixed Linear Regression","created":"2026-09-04","cited_by_count":0,"area":null},{"id":"2609.34446","title":"Livin' on a Prior: Likelihood Score Approximation for Inverse Problems","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}