Search Results
Computing with B-series
We present BSeries. jl, a Julia package for the computation and manipulation of B-series, which are a versatile theoretical tool for understanding and designing discretizations of differential equations.
Numerical Analysis Mathematical Software Numerical Analysis Symbolic Computation
ARMA-Design: Optimal Treatment Allocation Strategies for A/B Testing in Partially Observable Time Series Experiments
This paper studies the optimal design for A/B testing in partially observable online experiments.
Isomeric trees and the order of Runge--Kutta methods
The conditions for a Runge--Kutta method to be of order $p$ with $p\ge 5$ for a scalar non-autonomous problem are a proper subset of the order conditions for a vector problem.
Numerical Analysis Numerical Analysis 65L05
MediaPipe: A Framework for Building Perception Pipelines
A developer can use MediaPipe to build prototypes by combining existing perception components, to advance them to polished cross-platform applications and measure system performance and resource consumption on target platforms.
Distributed, Parallel, and Cluster Computing
Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models
We observe that our method consistently outperforms BS and previously proposed techniques for diverse decoding from neural sequence models.
Fast and Accurate Time Series Classification with WEASEL
On the popular UCR benchmark of 85 TS datasets, WEASEL is more accurate than the best current non-ensemble algorithms at orders-of-magnitude lower classification and training times, and it is almost as accurate as ensemble classifiers, whose computational complexity makes them inapplicable even for mid-size datasets.
YOLOE: Real-Time Seeing Anything
Object detection and segmentation are widely employed in computer vision applications, yet conventional models like YOLO series, while efficient and accurate, are limited by predefined categories, hindering adaptability in open scenarios.
YOLOv10: Real-Time End-to-End Object Detection
In this work, we aim to further advance the performance-efficiency boundary of YOLOs from both the post-processing and model architecture.
Ranked #23 on
Real-Time Object Detection
on MS COCO
Chronos: Learning the Language of Time Series
We introduce Chronos, a simple yet effective framework for pretrained probabilistic time series models.
Knowledge Enhanced Conditional Imputation for Healthcare Time-series
We introduce the Conditional Self-Attention Imputation (CSAI), a novel recurrent neural network architecture designed to address the challenges of complex missing data patterns in multivariate time series derived from hospital electronic health records (EHRs).
