{"total":49,"rows":[{"id":"2403.02187","title":"Mutual Information Estimation via Normalizing Flows","created":"2024-03-04","cited_by_count":22,"area":null},{"id":"2409.12589","title":"Is Tokenization Needed for Masked Particle Modelling?","created":"2024-09-19","cited_by_count":22,"area":null},{"id":"2407.01171","title":"Neural Conditional Probability for Uncertainty Quantification","created":"2024-07-01","cited_by_count":14,"area":null},{"id":"2305.13552","title":"Squared Neural Families: A New Class of Tractable Density Models","created":"2023-05-22","cited_by_count":12,"area":null},{"id":"2310.07665","title":"Deep Backtracking Counterfactuals for Causally Compliant Explanations","created":"2023-10-11","cited_by_count":9,"area":null},{"id":"2504.08916","title":"Improving the evaluation of samplers on multi-modal targets","created":"2025-04-11","cited_by_count":9,"area":null},{"id":"2307.15424","title":"Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis","created":"2023-07-28","cited_by_count":7,"area":null},{"id":"2311.06481","title":"Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning","created":"2023-11-11","cited_by_count":7,"area":null},{"id":"2404.05675","title":"Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling","created":"2024-04-08","cited_by_count":7,"area":null},{"id":"2502.01383","title":"InfoBridge: Mutual Information estimation via Bridge Matching","created":"2025-02-03","cited_by_count":7,"area":null},{"id":"2505.23913","title":"Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling","created":"2025-05-29","cited_by_count":7,"area":null},{"id":"2305.18435","title":"Statistically Efficient Bayesian Sequential Experiment Design via Reinforcement Learning with Cross-Entropy Estimators","created":"2023-05-29","cited_by_count":6,"area":null},{"id":"2312.13480","title":"InvertibleNetworks.jl: A Julia package for scalable normalizing flows","created":"2023-12-20","cited_by_count":6,"area":null},{"id":"2402.16408","title":"Stable Training of Normalizing Flows for High-dimensional Variational Inference","created":"2024-02-26","cited_by_count":6,"area":null},{"id":"2402.01195","title":"Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations","created":"2024-02-02","cited_by_count":5,"area":null},{"id":"2305.18900","title":"One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models","created":"2023-05-30","cited_by_count":4,"area":null},{"id":"2312.13208","title":"LlaMaVAE: Guiding Large Language Model Generation via Continuous Latent Sentence Spaces","created":"2023-12-20","cited_by_count":3,"area":null},{"id":"2410.21477","title":"Flow Matching for Atmospheric Retrieval of Exoplanets: Where Reliability meets Adaptive Noise Levels","created":"2024-10-28","cited_by_count":3,"area":null},{"id":"2411.19368","title":"Conformal Calibration of Statistical Confidence Sets","created":"2024-11-28","cited_by_count":3,"area":null},{"id":"2503.10232","title":"Flows on convex polytopes","created":"2025-03-13","cited_by_count":3,"area":null},{"id":"2505.24665","title":"Learning Geometry and Topology via Multi-Chart Flows","created":"2025-05-30","cited_by_count":3,"area":null},{"id":"2307.01085","title":"Some challenges of calibrating differentiable agent-based models","created":"2023-07-03","cited_by_count":2,"area":null},{"id":"2307.01317","title":"Density-based Feasibility Learning with Normalizing Flows for Introspective Robotic Assembly","created":"2023-07-03","cited_by_count":2,"area":null},{"id":"2309.16672","title":"Learning to Transform for Generalizable Instance-wise Invariance","created":"2023-09-28","cited_by_count":2,"area":null},{"id":"2402.05718","title":"REMEDI: Corrective Transformations for Improved Neural Entropy Estimation","created":"2024-02-08","cited_by_count":2,"area":null},{"id":"2407.12234","title":"Base Models for Parabolic Partial Differential Equations","created":"2024-07-17","cited_by_count":2,"area":null},{"id":"2410.22381","title":"Robust training of implicit generative models for multivariate and heavy-tailed distributions with an invariant statistical loss","created":"2024-10-29","cited_by_count":2,"area":null},{"id":"2501.08288","title":"Avoiding subtraction and division of stochastic signals using normalizing flows: NFdeconvolve","created":"2025-01-14","cited_by_count":2,"area":null},{"id":"2510.13297","title":"Federated Conditional Conformal Prediction via Generative Models","created":"2025-10-15","cited_by_count":2,"area":null},{"id":"2309.10365","title":"Testable Likelihoods for Beyond-the-Standard Model Fits","created":"2023-09-19","cited_by_count":1,"area":null},{"id":"2310.00486","title":"It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density Estimation","created":"2023-09-30","cited_by_count":1,"area":null},{"id":"2406.09116","title":"Injective flows for star-like manifolds","created":"2024-06-13","cited_by_count":1,"area":null},{"id":"2503.11482","title":"NeuMC -- a package for neural sampling for lattice field theories","created":"2025-03-14","cited_by_count":1,"area":null},{"id":"2506.04700","title":"Explicit Density Approximation for Neural Implicit Samplers Using a Bernstein-Based Convex Divergence","created":"2025-06-05","cited_by_count":1,"area":null},{"id":"2506.11683","title":"On the performance of multi-fidelity and reduced-dimensional neural emulators for inference of physiological boundary conditions","created":"2025-06-13","cited_by_count":1,"area":null},{"id":"2605.22891","title":"Pointwise Metrics Mislead: An Evaluation Protocol for Multimodal Inverse Problems","created":"2026-05-21","cited_by_count":1,"area":null},{"id":"2403.14076","title":"Improving $\\Lambda$ Signal Extraction with Domain Adaptation via Normalizing Flows","created":"2024-03-21","cited_by_count":0,"area":null},{"id":"2403.18840","title":"An AI-powered Technology Stack for Solving Many-Electron Field Theory","created":"2024-02-28","cited_by_count":0,"area":null},{"id":"2406.03337","title":"Identifying latent state transition in non-linear dynamical systems","created":"2024-06-05","cited_by_count":0,"area":null},{"id":"2407.08094","title":"Density Estimation via Binless Multidimensional Integration","created":"2024-07-10","cited_by_count":0,"area":null},{"id":"2506.09374","title":"Inherited or produced? Inferring protein production kinetics when protein counts are shaped by a cell's division history","created":"2025-06-11","cited_by_count":0,"area":null},{"id":"2510.07965","title":"Stick-Breaking Mixture Normalizing Flows with Component-Wise Tail Adaptation for Variational Inference","created":"2025-10-09","cited_by_count":0,"area":null},{"id":"2510.26266","title":"A Likely Geometry of Generative Models","created":"2025-10-30","cited_by_count":0,"area":null},{"id":"2510.26501","title":"Enhancing ECG Classification Robustness with Lightweight Unsupervised Anomaly Detection Filters","created":"2025-10-30","cited_by_count":0,"area":null},{"id":"2512.04954","title":"Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows","created":"2025-12-04","cited_by_count":0,"area":null},{"id":"2602.09581","title":"Mitigating the Likelihood Paradox in Flow-based OOD Detection via Entropy Manipulation","created":"2026-02-10","cited_by_count":0,"area":null},{"id":"2602.09593","title":"Why the Counterintuitive Phenomenon of Likelihood Rarely Appears in Tabular Anomaly Detection with Deep Generative Models?","created":"2026-02-10","cited_by_count":0,"area":null},{"id":"2605.01868","title":"Robust Conditional Conformal Prediction via Branched Normalizing Flow","created":"2026-05-03","cited_by_count":0,"area":null},{"id":"2609.02622","title":"Source Distribution Estimation by Posterior Averaging","created":"2026-09-02","cited_by_count":0,"area":null}],"next_cursor":null}