Variational Grey-Box Dynamics Matching
Fuente:
arXiv
Guardado en:
| Autores principales: | Singh, Gurjeet Sangra, Lavda, Frantzeska, Mercatali, Giangiacomo, Kalousis, Alexandros |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Hybrid Generative Modeling for Incomplete Physics: Deep Grey-Box Meets Optimal Transport
por: Singh, Gurjeet Sangra, et al.
Publicado: (2025)
por: Singh, Gurjeet Sangra, et al.
Publicado: (2025)
GLAD: Improving Latent Graph Generative Modeling with Simple Quantization
por: Nguyen, Van Khoa, et al.
Publicado: (2024)
por: Nguyen, Van Khoa, et al.
Publicado: (2024)
MING: A Functional Approach to Learning Molecular Generative Models
por: Nguyen, Van Khoa, et al.
Publicado: (2024)
por: Nguyen, Van Khoa, et al.
Publicado: (2024)
Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series
por: Mercatali, Giangiacomo, et al.
Publicado: (2024)
por: Mercatali, Giangiacomo, et al.
Publicado: (2024)
Diffusion Twigs with Loop Guidance for Conditional Graph Generation
por: Mercatali, Giangiacomo, et al.
Publicado: (2024)
por: Mercatali, Giangiacomo, et al.
Publicado: (2024)
Hierarchical Discrete Flow Matching for Graph Generation
por: Boget, Yoann, et al.
Publicado: (2026)
por: Boget, Yoann, et al.
Publicado: (2026)
Unrestrained Simplex Denoising for Discrete Data. A Non-Markovian Approach Applied to Graph Generation
por: Boget, Yoann, et al.
Publicado: (2026)
por: Boget, Yoann, et al.
Publicado: (2026)
Mimicking Better by Matching the Approximate Action Distribution
por: Ramos, João A. Cândido, et al.
Publicado: (2023)
por: Ramos, João A. Cândido, et al.
Publicado: (2023)
Discrete Graph Auto-Encoder
por: Boget, Yoann, et al.
Publicado: (2023)
por: Boget, Yoann, et al.
Publicado: (2023)
Kolmogorov-Smirnov GAN
por: Falkiewicz, Maciej, et al.
Publicado: (2024)
por: Falkiewicz, Maciej, et al.
Publicado: (2024)
Stein Diffusion Guidance: Training-Free Posterior Correction for Sampling Beyond High-Density Regions
por: Nguyen, Van Khoa, et al.
Publicado: (2025)
por: Nguyen, Van Khoa, et al.
Publicado: (2025)
Noise-Guided Transport for Imitation Learning
por: Blondé, Lionel, et al.
Publicado: (2025)
por: Blondé, Lionel, et al.
Publicado: (2025)
Digital Twin for Grey Box modeling of Multistory residential building thermal dynamics
por: Morkunaite, Lina, et al.
Publicado: (2024)
por: Morkunaite, Lina, et al.
Publicado: (2024)
Variational Neural Networks
por: Oleksiienko, Illia, et al.
Publicado: (2022)
por: Oleksiienko, Illia, et al.
Publicado: (2022)
Variational Graph Convolutional Neural Networks
por: Oleksiienko, Illia, et al.
Publicado: (2025)
por: Oleksiienko, Illia, et al.
Publicado: (2025)
Manifold Gaussian Variational Bayes on the Precision Matrix
por: Magris, Martin, et al.
Publicado: (2022)
por: Magris, Martin, et al.
Publicado: (2022)
Provably Scalable Black-Box Variational Inference with Structured Variational Families
por: Ko, Joohwan, et al.
Publicado: (2024)
por: Ko, Joohwan, et al.
Publicado: (2024)
Efficient Mixture Learning in Black-Box Variational Inference
por: Hotti, Alexandra, et al.
Publicado: (2024)
por: Hotti, Alexandra, et al.
Publicado: (2024)
Variational Flow Matching for Graph Generation
por: Eijkelboom, Floor, et al.
Publicado: (2024)
por: Eijkelboom, Floor, et al.
Publicado: (2024)
StAD: Stein Amortized Divergence for Fast Likelihoods with Diffusion and Flow
por: Jagwani, Gurjeet, et al.
Publicado: (2026)
por: Jagwani, Gurjeet, et al.
Publicado: (2026)
Control Variate Score Matching for Diffusion Models
por: Kahouli, Khaled, et al.
Publicado: (2025)
por: Kahouli, Khaled, et al.
Publicado: (2025)
Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box
por: Giordano, Ryan, et al.
Publicado: (2023)
por: Giordano, Ryan, et al.
Publicado: (2023)
Geometric Median Matching for Robust k-Subset Selection from Noisy Data
por: Acharya, Anish, et al.
Publicado: (2025)
por: Acharya, Anish, et al.
Publicado: (2025)
Adaptive Exponential Integration for Stable Gaussian Mixture Black-Box Variational Inference
por: Che, Baojun, et al.
Publicado: (2026)
por: Che, Baojun, et al.
Publicado: (2026)
Variance Control for Black Box Variational Inference Using The James-Stein Estimator
por: Dayta, Dominic B.
Publicado: (2024)
por: Dayta, Dominic B.
Publicado: (2024)
On the Convergence of Black-Box Variational Inference
por: Kim, Kyurae, et al.
Publicado: (2023)
por: Kim, Kyurae, et al.
Publicado: (2023)
Learning Surrogates for Offline Black-Box Optimization via Gradient Matching
por: Hoang, Minh, et al.
Publicado: (2025)
por: Hoang, Minh, et al.
Publicado: (2025)
Quantum Circuit Simulation of Compartmental Drug Dynamics: Leveraging Variational Algorithms for Nonlinear Mixed-Effects Population Pharmacokinetics
por: Singh, Isshaan, et al.
Publicado: (2026)
por: Singh, Isshaan, et al.
Publicado: (2026)
Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing?
por: Kim, Kyurae, et al.
Publicado: (2023)
por: Kim, Kyurae, et al.
Publicado: (2023)
Exponential Family Variational Flow Matching for Tabular Data Generation
por: Guzmán-Cordero, Andrés, et al.
Publicado: (2025)
por: Guzmán-Cordero, Andrés, et al.
Publicado: (2025)
Variational Rectified Flow Matching
por: Guo, Pengsheng, et al.
Publicado: (2025)
por: Guo, Pengsheng, et al.
Publicado: (2025)
Controlled Generation with Equivariant Variational Flow Matching
por: Eijkelboom, Floor, et al.
Publicado: (2025)
por: Eijkelboom, Floor, et al.
Publicado: (2025)
Generative Drifting is Secretly Score Matching: a Spectral and Variational Perspective
por: Turan, Erkan, et al.
Publicado: (2026)
por: Turan, Erkan, et al.
Publicado: (2026)
Grey-informed neural network for time-series forecasting
por: Xie, Wanli, et al.
Publicado: (2024)
por: Xie, Wanli, et al.
Publicado: (2024)
Riemannian Variational Flow Matching for Material and Protein Design
por: Zaghen, Olga, et al.
Publicado: (2025)
por: Zaghen, Olga, et al.
Publicado: (2025)
Uncertainty Quantification for Language Models: A Suite of Black-Box, White-Box, LLM Judge, and Ensemble Scorers
por: Bouchard, Dylan, et al.
Publicado: (2025)
por: Bouchard, Dylan, et al.
Publicado: (2025)
Safety Filters for Black-Box Dynamical Systems by Learning Discriminating Hyperplanes
por: Lavanakul, Will, et al.
Publicado: (2024)
por: Lavanakul, Will, et al.
Publicado: (2024)
Unraveling the Black Box of Neural Networks: A Dynamic Extremum Mapper
por: Chen, Shengjian
Publicado: (2025)
por: Chen, Shengjian
Publicado: (2025)
VFP: Variational Flow-Matching Policy for Multi-Modal Robot Manipulation
por: Zhai, Xuanran, et al.
Publicado: (2025)
por: Zhai, Xuanran, et al.
Publicado: (2025)
Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference
por: Kim, Kyurae, et al.
Publicado: (2025)
por: Kim, Kyurae, et al.
Publicado: (2025)
Ejemplares similares
-
Hybrid Generative Modeling for Incomplete Physics: Deep Grey-Box Meets Optimal Transport
por: Singh, Gurjeet Sangra, et al.
Publicado: (2025) -
GLAD: Improving Latent Graph Generative Modeling with Simple Quantization
por: Nguyen, Van Khoa, et al.
Publicado: (2024) -
MING: A Functional Approach to Learning Molecular Generative Models
por: Nguyen, Van Khoa, et al.
Publicado: (2024) -
Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series
por: Mercatali, Giangiacomo, et al.
Publicado: (2024) -
Diffusion Twigs with Loop Guidance for Conditional Graph Generation
por: Mercatali, Giangiacomo, et al.
Publicado: (2024)