Cover Image

Recurrent Memory for Online Interdomain Gaussian Processes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Wenlong, Kiyohara, Naoki, Zhu, Harrison Bo Hua, Curran-Sebastian, Jacob, Bhatt, Samir, Li, Yingzhen
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Interdomain Attention: Beyond Token-Level Key-Value Memory
by: Kiyohara, Naoki, et al.
Published: (2026)

Calibrating Transformers via Sparse Gaussian Processes
by: Chen, Wenlong, et al.
Published: (2023)

Neural Stochastic Flows: Solver-Free Modelling and Inference for SDE Solutions
by: Kiyohara, Naoki, et al.
Published: (2025)

HiBBO: HiPPO-based Space Consistency for High-dimensional Bayesian Optimisation
by: Xuan, Junyu, et al.
Published: (2025)

Bayesian Computation in Deep Learning
by: Chen, Wenlong, et al.
Published: (2025)

Compact Memory for Continual Logistic Regression
by: Jung, Yohan, et al.
Published: (2025)

Spectral Transformer Neural Processes
by: Chen, Xianhe, et al.
Published: (2026)

Your Image is Secretly the Last Frame of a Pseudo Video
by: Chen, Wenlong, et al.
Published: (2024)

Variational Uncertainty Decomposition for In-Context Learning
by: Jayasekera, I. Shavindra, et al.
Published: (2025)

End-to-End Identifiable and Consistent Recurrent Switching Dynamical Systems
by: Balsells-Rodas, Carles, et al.
Published: (2026)

Modelling the Stochastic Importation Dynamics and Establishment of Novel Pathogenic Strains using a General Branching Processes Framework
by: Curran-Sebastian, Jacob, et al.
Published: (2024)

Diffusion Models for Inverse Problems in the Exponential Family
by: Micheli, Alessandro, et al.
Published: (2025)

NeuralSurv: Deep Survival Analysis with Bayesian Uncertainty Quantification
by: Monod, Mélodie, et al.
Published: (2025)

Neural Flow Samplers with Shortcut Models
by: Chen, Wuhao, et al.
Published: (2025)

Shallow Neural Networks Learn Low-Degree Spherical Polynomials with Feature Learning by Learnable Channel Attention
by: Yang, Yingzhen
Published: (2025)

TabRep: Training Tabular Diffusion Models with a Simple and Effective Continuous Representation
by: Si, Jacob, et al.
Published: (2025)

Idiographic Personality Gaussian Process for Psychological Assessment
by: Chen, Yehu, et al.
Published: (2024)

Improved Generalization Bounds for Transductive Learning by Transductive Local Complexity and Its Applications
by: Yang, Yingzhen
Published: (2023)

Characterizing and Correcting Effective Target Shift in Online Learning
by: Li, Ziyan, et al.
Published: (2026)

Sharp Generalization for Nonparametric Regression in Interpolation Space by Over-Parameterized Neural Networks Trained with Preconditioned Gradient Descent and Early Stopping
by: Yang, Yingzhen, et al.
Published: (2024)

Gradient Descent Finds Over-Parameterized Neural Networks with Sharp Generalization for Nonparametric Regression
by: Yang, Yingzhen, et al.
Published: (2024)

Gradient Descent with Projection Finds Over-Parameterized Neural Networks for Learning Low-Degree Polynomials with Nearly Minimax Optimal Rate
by: Yang, Yingzhen, et al.
Published: (2026)

Projective Proximal Gradient Descent for A Class of Nonconvex Nonsmooth Optimization Problems: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property
by: Yang, Yingzhen, et al.
Published: (2023)

A Dynamic, Ordinal Gaussian Process Item Response Theoretic Model
by: Chen, Yehu, et al.
Published: (2025)

Diffusion Alignment Beyond KL: Variance Minimisation as Effective Policy Optimiser
by: Ou, Zijing, et al.
Published: (2026)

Comparison of Data Reduction Criteria for Online Gaussian Processes
by: Wietzke, Thore, et al.
Published: (2025)

Saliency-Aware Regularized Quantization Calibration for Large Language Models
by: Zhao, Yanlong, et al.
Published: (2026)

Memory-Driven Self-Improvement for Decision Making with Large Language Models
by: Yan, Xue, et al.
Published: (2025)

Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction
by: Kiyohara, Haruka, et al.
Published: (2024)

Exact Inference for Continuous-Time Gaussian Process Dynamics
by: Ensinger, Katharina, et al.
Published: (2023)

Discrete Neural Flow Samplers with Locally Equivariant Transformer
by: Ou, Zijing, et al.
Published: (2025)

Inference-Time Scaling of Discrete Diffusion Models via Importance Weighting and Optimal Proposal Design
by: Ou, Zijing, et al.
Published: (2025)

Empirical Gaussian Processes
by: Lin, Jihao Andreas, et al.
Published: (2026)

Entropic Riemannian Neural Optimal Transport
by: Micheli, Alessandro, et al.
Published: (2026)

Compact Recurrent Transformer with Persistent Memory
by: Mucllari, Edison, et al.
Published: (2025)

Towards Compressive and Scalable Recurrent Memory
by: Song, Yunchong, et al.
Published: (2026)

GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory Prediction
by: Luo, Yuhao, et al.
Published: (2024)

Structured Coupling for Flow Matching
by: Sumba, Xavier, et al.
Published: (2026)

On the Identifiability of Switching Dynamical Systems
by: Balsells-Rodas, Carles, et al.
Published: (2023)

Large-Scale Gaussian Processes via Alternating Projection
by: Wu, Kaiwen, et al.
Published: (2023)