Cover Image

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tóth, Csaba, Cruz, Danilo Jr Dela, Oberhauser, Harald
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

Random Fourier Signature Features
by: Toth, Csaba, et al.
Published: (2023)

Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes
by: Tóth, Csaba, et al.
Published: (2024)

Scalable Machine Learning Algorithms using Path Signatures
by: Tóth, Csaba
Published: (2025)

pathsig: A GPU-Accelerated Library for Truncated and Projected Path Signatures
by: Nygaard, Tobias
Published: (2026)

OpenReservoirComputing: GPU-Accelerated Reservoir Computing in JAX
by: Williams, Jan, et al.
Published: (2026)

Sharper Guarantees for Misspecified Kernelized Bandit Optimization
by: Maran, Davide, et al.
Published: (2026)

Spin: An Efficient Secure Computation Framework with GPU Acceleration
by: Jiang, Wuxuan, et al.
Published: (2024)

Keras Sig: Efficient Path Signature Computation on GPU in Keras 3
by: Genet, Rémi, et al.
Published: (2025)

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels
by: Wang, Han, et al.
Published: (2026)

FastKernels: Benchmarking GPU Kernel Generation in Production
by: Oliaro, Gabriele, et al.
Published: (2026)

Accelerating Sparse Transformer Inference on GPU
by: Dai, Wenhao, et al.
Published: (2025)

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization
by: Sun, Qitong, et al.
Published: (2026)

Omniwise: Predicting GPU Kernels Performance with LLMs
by: Wang, Zixian, et al.
Published: (2025)

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search
by: Jaber, Jaber, et al.
Published: (2026)

$\texttt{lrnnx}$: A library for Linear RNNs
by: Bania, Karan, et al.
Published: (2026)

KernelBench: Can LLMs Write Efficient GPU Kernels?
by: Ouyang, Anne, et al.
Published: (2025)

Kernel-Based Anomaly Detection Using Generalized Hyperbolic Processes
by: Bourigault, Pauline, et al.
Published: (2025)

$\texttt{dattri}$: A Library for Efficient Data Attribution
by: Deng, Junwei, et al.
Published: (2024)

Nonlinear Optimization with GPU-Accelerated Neural Network Constraints
by: Parker, Robert, et al.
Published: (2025)

GPU Kernel Scientist: An LLM-Driven Framework for Iterative Kernel Optimization
by: Andrews, Martin, et al.
Published: (2025)

AgentKernelArena: Generalization-Aware Benchmarking of GPU Kernel Optimization Agents
by: Younesian, Sharareh, et al.
Published: (2026)

Transformer Based Linear Attention with Optimized GPU Kernel Implementation
by: Gerami, Armin, et al.
Published: (2025)

pySigLib -- Fast Signature-Based Computations on CPU and GPU
by: Shmelev, Daniil, et al.
Published: (2025)

Scalable Signature Kernel Computations for Long Time Series via Local Neumann Series Expansions
by: Tamayo-Rios, Matthew, et al.
Published: (2025)

Numerical Schemes for Signature Kernels
by: Cass, Thomas, et al.
Published: (2025)

Optimized Speculative Sampling for GPU Hardware Accelerators
by: Wagner, Dominik, et al.
Published: (2024)

Learning Locally Adaptive Metrics that Enhance Structural Representation with $\texttt{LAMINAR}$
by: Kleiber, Christian, et al.
Published: (2024)

Nautilus: An Auto-Scheduling Tensor Compiler for Efficient Tiled GPU Kernels
by: Zhao, Yifan, et al.
Published: (2026)

GPU Forecasters: Language Models as Selective Surrogates for Kernel Runtime Optimization
by: Khan, Zaid, et al.
Published: (2026)

Automating Energy-Efficient GPU Kernel Generation: A Fast Search-Based Compilation Approach
by: Zhang, Yijia, et al.
Published: (2024)

Towards Continuous Home Cage Monitoring: An Evaluation of Tracking and Identification Strategies for Laboratory Mice
by: Oberhauser, Juan Pablo, et al.
Published: (2025)

Signature Kernel Scoring Rule: A Spatio-Temporal Diagnostic for Probabilistic Weather Forecasting
by: Dodson, Archer, et al.
Published: (2025)

mlx-vis: GPU-Accelerated Dimensionality Reduction and Visualization on Apple Silicon
by: Xiao, Han
Published: (2026)

SwiftRepertoire: Few-Shot Immune-Signature Synthesis via Dynamic Kernel Codes
by: Fu, Rong, et al.
Published: (2026)

GPU-Accelerated Counterfactual Regret Minimization
by: Kim, Juho
Published: (2024)

Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference
by: Huang, Xunpeng, et al.
Published: (2024)

Giga-scale Kernel Matrix Vector Multiplication on GPU
by: Hu, Robert, et al.
Published: (2022)

A GPU-Accelerated Bi-linear ADMM Algorithm for Distributed Sparse Machine Learning
by: Olama, Alireza, et al.
Published: (2024)

KernelFoundry: Hardware-aware evolutionary GPU kernel optimization
by: Wiedemann, Nina, et al.
Published: (2026)

Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes
by: Manten, Georg, et al.
Published: (2024)