:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Walker, Benjamin, Bloch, Alexandre, Yang, Lingyi, Morley, Sam, Lyons, Terry
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2605.30213
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Exponentially Weighted Signature
by: Bloch, Alexandre, et al.
Published: (2026)

Structured Linear CDEs: Maximally Expressive and Parallel-in-Time Sequence Models
by: Walker, Benjamin, et al.
Published: (2025)

Chess-World-Model: A 10M-Game Benchmark for Exact State Tracking from Chess Move Sequences
by: Walker, Benjamin, et al.
Published: (2026)

Learning Dynamic Graph Embeddings with Neural Controlled Differential Equations
by: Qin, Tiexin, et al.
Published: (2023)

Log Neural Controlled Differential Equations: The Lie Brackets Make a Difference
by: Walker, Benjamin, et al.
Published: (2024)

Log-PDE Methods for Rough Signature Kernels
by: Lemercier, Maud, et al.
Published: (2024)

Theoretical Foundations of Deep Selective State-Space Models
by: Cirone, Nicola Muca, et al.
Published: (2024)

Combining Hough Transform and Deep Learning Approaches to Reconstruct ECG Signals From Printouts
by: Krones, Felix, et al.
Published: (2024)

Q-learning as a monotone scheme
by: Yang, Lingyi
Published: (2024)

StarMAP: Global Neighbor Embedding for Faithful Data Visualization
by: Watanabe, Koshi, et al.
Published: (2025)

Multimodal deep learning approach to predicting neurological recovery from coma after cardiac arrest
by: Krones, Felix H., et al.
Published: (2024)

STRGCN: Capturing Asynchronous Spatio-Temporal Dependencies for Irregular Multivariate Time Series Forecasting
by: Wang, Yulong, et al.
Published: (2025)

Transforming CCTV cameras into NO$_2$ sensors at city scale for adaptive policymaking
by: Ibrahim, Mohamed R., et al.
Published: (2024)

Neural Controlled Differential Equations with Quantum Hidden Evolutions
by: Yang, Lingyi, et al.
Published: (2024)

Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network
by: Zhang, Weijia, et al.
Published: (2023)

Temporal Dynamic Embedding for Irregularly Sampled Time Series
by: Kim, Mincheol, et al.
Published: (2025)

Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs
by: Naiman, Ilan, et al.
Published: (2023)

Towards Spectral Convergence of Locally Linear Embedding on Manifolds with Boundary
by: Lyons, Andrew
Published: (2025)

Merging Embedded Topics with Optimal Transport for Online Topic Modeling on Data Streams
by: Granese, Federica, et al.
Published: (2025)

Faithful Differentiable Reasoning with Reshuffled Region-based Embeddings
by: Pavlovic, Aleksandar, et al.
Published: (2024)

Continuous-Time Linear Positional Embedding for Irregular Time Series Forecasting
by: Kim, Byunghyun, et al.
Published: (2024)

HELP: Hierarchical Embeddings-based Log Parsing
by: Xu, Andy, et al.
Published: (2024)

Learning Longitudinal Stress Dynamics from Irregular Self-Reports via Time Embeddings
by: Simon, Louis, et al.
Published: (2025)

Novelty Detection on Radio Astronomy Data using Signatures
by: Arrubarrena, Paola, et al.
Published: (2024)

Triadic-OCD: Asynchronous Online Change Detection with Provable Robustness, Optimality, and Convergence
by: Huang, Yancheng, et al.
Published: (2024)

Frugal, Flexible, Faithful: Causal Data Simulation via Frengression
by: Yang, Linying, et al.
Published: (2025)

Heteroscedastic Temporal Variational Autoencoder For Irregular Time Series
by: Shukla, Satya Narayan, et al.
Published: (2021)

Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document
by: Yang, Zewen, et al.
Published: (2024)

Dual-Label Learning With Irregularly Present Labels
by: Li, Mingqian, et al.
Published: (2024)

Graph-Based Operator Learning from Limited Data on Irregular Domains
by: Li, Yile, et al.
Published: (2025)

The Impact Analysis of Delays in Asynchronous Federated Learning with Data Heterogeneity for Edge Intelligence
by: Hao, Ziruo, et al.
Published: (2025)

Online Irregular Multivariate Time Series Forecasting via Uncertainty-Driven Dual-Expert Calibration
by: Wen, Haonan, et al.
Published: (2026)

Analysis of Asynchronous Federated Learning: Unraveling the Interactions between Gradient Compression, Delay, and Data Heterogeneity
by: Yang, Diying, et al.
Published: (2025)

Generative Path-Law Jump-Diffusion: Sequential MMD-Gradient Flows and Generalisation Bounds in Marcus-Signature RKHS
by: Bloch, Daniel
Published: (2026)

Scalable Asynchronous Federated Modeling for Spatial Data
by: Shi, Jianwei, et al.
Published: (2025)

Revisiting Multi-Agent Asynchronous Online Optimization with Delays: the Strongly Convex Case
by: Bao, Lingchan, et al.
Published: (2025)

Log-Linear Attention
by: Guo, Han, et al.
Published: (2025)

DriftGuard: Mitigating Asynchronous Data Drift in Federated Learning
by: Han, Yizhou, et al.
Published: (2026)

Task-Adaptive Embedding Refinement via Test-time LLM Guidance
by: Gera, Ariel, et al.
Published: (2026)

LogPurge: Log Data Purification for Anomaly Detection via Rule-Enhanced Filtering
by: Zhang, Shenglin, et al.
Published: (2025)