Copertina

LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Sikorski, Antony, Ivanitskiy, Michael, Lenssen, Nathan, Nychka, Douglas, McKenzie, Daniel
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Normalizing Basis Functions: Approximate Stationary Models for Large Spatial Data
di: Sikorski, Antony, et al.
Pubblicazione: (2024)

A Non-stationary, Amortized, Transfer Learning Approach for Modeling Italian Air Quality
di: Moro, Alessandro Fusta, et al.
Pubblicazione: (2026)

Modeling Spatial Extremes using Non-Gaussian Spatial Autoregressive Models via Convolutional Neural Networks
di: Rai, Sweta, et al.
Pubblicazione: (2025)

On Logical Extrapolation for Mazes with Recurrent and Implicit Networks
di: Knutson, Brandon, et al.
Pubblicazione: (2024)

Differentiating Through Integer Linear Programs with Quadratic Regularization and Davis-Yin Splitting
di: McKenzie, Daniel, et al.
Pubblicazione: (2023)

Spatial Reasoning with Denoising Models
di: Wewer, Christopher, et al.
Pubblicazione: (2025)

Deep Generative Modeling for Identification of Noisy, Non-Stationary Dynamical Systems
di: Voina, Doris, et al.
Pubblicazione: (2024)

Hindsight Experience Replay Accelerates Proximal Policy Optimization
di: Crowder, Douglas C., et al.
Pubblicazione: (2024)

Maximum Entropy Hindsight Experience Replay
di: Crowder, Douglas C., et al.
Pubblicazione: (2024)

Smooth Non-Stationary Bandits
di: Jia, Su, et al.
Pubblicazione: (2023)

Non-Stationary Functional Bilevel Optimization
di: Bohne, Jason, et al.
Pubblicazione: (2026)

Metric properties of partial and robust Gromov-Wasserstein distances
di: Chhoa, Jannatul, et al.
Pubblicazione: (2024)

Non-Stationary Lipschitz Bandits
di: Nguyen, Nicolas, et al.
Pubblicazione: (2025)

Efficient Hyperparameter Search for Non-Stationary Model Training
di: Isik, Berivan, et al.
Pubblicazione: (2025)

Kalman Filter for Online Classification of Non-Stationary Data
di: Titsias, Michalis K., et al.
Pubblicazione: (2023)

Spatial Reasoners for Continuous Variables in Any Domain
di: Pogodzinski, Bart, et al.
Pubblicazione: (2025)

Efficient Restarts in Non-Stationary Model-Free Reinforcement Learning
di: Nonaka, Hiroshi, et al.
Pubblicazione: (2025)

Adaptive Calibration in Non-Stationary Environments
di: Liu, Junyan, et al.
Pubblicazione: (2026)

Enhancing Graphical Lasso: A Robust Scheme for Non-Stationary Mean Data
di: Rey, Samuel, et al.
Pubblicazione: (2025)

Multi-Label Transfer Learning in Non-Stationary Data Streams
di: Du, Honghui, et al.
Pubblicazione: (2025)

Online Adaptive Reinforcement Learning with Echo State Networks for Non-Stationary Dynamics
di: Yoshimura, Aoi, et al.
Pubblicazione: (2026)

Risk-averse Learning with Non-Stationary Distributions
di: Wang, Siyi, et al.
Pubblicazione: (2024)

Stationary Reweighting Yields Local Convergence of Soft Fitted Q-Iteration
di: van der Laan, Lars, et al.
Pubblicazione: (2025)

Fitted $Q$ Evaluation Without Bellman Completeness via Stationary Weighting
di: van der Laan, Lars, et al.
Pubblicazione: (2025)

Adaptive Requesting in Decentralized Edge Networks via Non-Stationary Bandits
di: Zhuang, Yi, et al.
Pubblicazione: (2026)

Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset
di: Galashov, Alexandre, et al.
Pubblicazione: (2024)

Contextual Bandits with Non-Stationary Correlated Rewards for User Association in MmWave Vehicular Networks
di: He, Xiaoyang, et al.
Pubblicazione: (2024)

MEt3R: Measuring Multi-View Consistency in Generated Images
di: Asim, Mohammad, et al.
Pubblicazione: (2025)

Inspectable Neural Markov Models for Non-Stationary Time Series
di: Rovirosa, Jan, et al.
Pubblicazione: (2026)

Non-Stationary Online Structured Prediction with Surrogate Losses
di: Sakaue, Shinsaku, et al.
Pubblicazione: (2025)

Wavelet Predictive Representations for Non-Stationary Reinforcement Learning
di: Wang, Min, et al.
Pubblicazione: (2025)

Adaptive Smooth Non-Stationary Bandits
di: Suk, Joe
Pubblicazione: (2024)

Non-Stationary Bandit Learning via Predictive Sampling
di: Liu, Yueyang, et al.
Pubblicazione: (2022)

Near-Optimal Algorithm for Non-Stationary Kernelized Bandits
di: Iwazaki, Shogo, et al.
Pubblicazione: (2024)

Sliding-Window Thompson Sampling for Non-Stationary Settings
di: Fiandri, Marco, et al.
Pubblicazione: (2024)

Inverse Reinforcement Learning from Non-Stationary Learning Agents
di: Sivakumar, Kavinayan P., et al.
Pubblicazione: (2024)

Probabilistic Wind Power Modelling via Heteroscedastic Non-Stationary Gaussian Processes
di: Ladopoulou, Domniki, et al.
Pubblicazione: (2025)

Causal Modeling with Stationary Diffusions
di: Lorch, Lars, et al.
Pubblicazione: (2023)

Structural Abstraction as an Inductive Bias for Non-Stationary Language Model Training
di: Rahmati, Elnaz, et al.
Pubblicazione: (2026)

World Model for Battery Degradation Prediction Under Non-Stationary Aging
di: Lim, Kai Chin, et al.
Pubblicazione: (2026)