Image de couverture de livre

Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Gu, Anming, Chien, Edward, Greenewald, Kristjan
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Private Continuous-Time Synthetic Trajectory Generation via Mean-Field Langevin Dynamics
par: Gu, Anming, et autres
Publié: (2025)

Differentially Private Wasserstein Barycenters
par: Gu, Anming, et autres
Publié: (2025)

Neural Estimation for Scaling Entropic Multimarginal Optimal Transport
par: Tsur, Dor, et autres
Publié: (2025)

Distributional Process Reward Models: Calibrated Prediction of Future Rewards via Conditional Optimal Transport
par: Ma, Rachel, et autres
Publié: (2026)

Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking
par: Rioux, Gabriel, et autres
Publié: (2024)

Entropic Causal Inference: Graph Identifiability
par: Compton, Spencer, et autres
Publié: (2025)

Mirror Mean-Field Langevin Dynamics
par: Gu, Anming, et autres
Publié: (2025)

Distributional Preference Alignment of LLMs via Optimal Transport
par: Melnyk, Igor, et autres
Publié: (2024)

Accelerated Inference for Partially Observed Markov Processes using Automatic Differentiation
par: Tan, Kevin, et autres
Publié: (2024)

Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training
par: Greenewald, Kristjan, et autres
Publié: (2024)

Slicing Mutual Information Generalization Bounds for Neural Networks
par: Nadjahi, Kimia, et autres
Publié: (2024)

Efficient Multi-Adapter LLM Serving via Cross-Model KV-Cache Reuse with Activated LoRA
par: Li, Allison, et autres
Publié: (2025)

Hyperparameter Trajectory Inference with Conditional Lagrangian Optimal Transport
par: Amad, Harry, et autres
Publié: (2026)

Know What You Don't Know: Uncertainty Calibration of Process Reward Models
par: Park, Young-Jin, et autres
Publié: (2025)

Thermometer: Towards Universal Calibration for Large Language Models
par: Shen, Maohao, et autres
Publié: (2024)

Gradient Flows and Riemannian Structure in the Gromov-Wasserstein Geometry
par: Zhang, Zhengxin, et autres
Publié: (2024)

Functional Stochastic Localization
par: Gu, Anming, et autres
Publié: (2026)

Learning Partial Graph Matching via Optimal Partial Transport
par: Ratnayaka, Gathika, et autres
Publié: (2024)

Accelerated Sinkhorn Algorithms for Partial Optimal Transport
par: Truong, Nghia Thu, et autres
Publié: (2026)

Online Bayesian Experimental Design for Partially Observed Dynamical Systems
par: Pérez-Vieites, Sara, et autres
Publié: (2025)

Linear Optimal Partial Transport Embedding
par: Bai, Yikun, et autres
Publié: (2023)

Theoretical Performance Guarantees for Partial Domain Adaptation via Partial Optimal Transport
par: Naram, Jayadev, et autres
Publié: (2025)

Sparse Partial Optimal Transport via Quadratic Regularization
par: Tran, Khang, et autres
Publié: (2025)

Partial Distribution Alignment via Adaptive Optimal Transport
par: Yang, Pei, et autres
Publié: (2025)

Compute-Optimal LLMs Provably Generalize Better With Scale
par: Finzi, Marc, et autres
Publié: (2025)

Linear Noise Approximation Assisted Bayesian Inference on Mechanistic Model of Partially Observed Stochastic Reaction Network
par: Xu, Wandi, et autres
Publié: (2024)

Revisiting Group Relative Policy Optimization: Insights into On-Policy and Off-Policy Training
par: Mroueh, Youssef, et autres
Publié: (2025)

Efficient Spectral Control of Partially Observed Linear Dynamical Systems
par: Brahmbhatt, Anand, et autres
Publié: (2025)

Finite Sample Identification of Partially Observed Bilinear Dynamical Systems
par: Sattar, Yahya, et autres
Publié: (2025)

Take It or Leave It: Intent-Controlled Partial Optimal Transport
par: Tripathi, Salil Parth, et autres
Publié: (2026)

WFR-MFM: One-Step Inference for Dynamic Unbalanced Optimal Transport
par: Wang, Xinyu, et autres
Publié: (2026)

Autoregressive with Slack Time Series Model for Forecasting a Partially-Observed Dynamical Time Series
par: Okuno, Akifumi, et autres
Publié: (2023)

CellStream: Dynamical Optimal Transport Informed Embeddings for Reconstructing Cellular Trajectories from Snapshots Data
par: Ling, Yue, et autres
Publié: (2025)

PresAIse, A Prescriptive AI Solution for Enterprises
par: Sun, Wei, et autres
Publié: (2024)

Likelihood Based Inference in Fully and Partially Observed Exponential Family Graphical Models with Intractable Normalizing Constants
par: Chen, Yujie, et autres
Publié: (2024)

Robust Generalization with Adaptive Optimal Transport Priors for Decision-Focused Learning
par: Sun, Haixiang, et autres
Publié: (2026)

Partially Observed Structural Causal Models
par: Orujlu, Turan, et autres
Publié: (2026)

Activated LoRA: Fine-tuned LLMs for Intrinsics
par: Greenewald, Kristjan, et autres
Publié: (2025)

PACE: Geometry-Aware Bridge Transport for Single-Cell Trajectory Inference
par: Yu, Chenglei, et autres
Publié: (2026)

Theoretical Analysis of Measure Consistency Regularization for Partially Observed Data
par: Wang, Yinsong, et autres
Publié: (2026)