Timing Analysis

Timing analysis focuses on precisely determining the temporal aspects of events or processes across diverse domains, aiming to optimize performance, predict behavior, and ensure reliability. Current research emphasizes the development and application of advanced machine learning models, including graph neural networks, recurrent neural networks, and diffusion transformers, to address challenges in various fields such as robotics, circuit design, and financial modeling. These advancements are improving the accuracy and efficiency of timing predictions and enabling more sophisticated control and optimization strategies with significant implications for diverse applications ranging from autonomous systems to high-performance computing.

Papers

November 11, 2024

Timing and Dynamics of the Rosanna Shuffle
Esa Räsänen, Niko Gullsten, Otto Pulkkinen, Tuomas Virtanen
Shuffle Model Timing Analysis Tempo Estimation

October 22, 2024

Remote Timing Attacks on Efficient Language Model Inference
Nicholas Carlini, Milad Nasr
Language Model Side Channel Timing Analysis Language Model Generation Language Model Inference Time Varying Impedance Attack

October 21, 2024

Patrol Security Game: Defending Against Adversary with Freedom in Attack Timing, Location, and Duration
Hao-Tsung Yang, Ting-Kai Weng, Ting-Yu Chang, Kin Sum Liu, Shan Lin, Jie Gao, Shih-Yu Tsai
Deep Reinforcement Learning Multi Robot Adversary Agent Timing Analysis Patrolling Strategy Long Duration

October 17, 2024

Shavette: Low Power Neural Network Acceleration via Algorithm-level Error Detection and Undervolting
Mikael Rinkinen, Lauri Koskinen, Olli Silven, Mehdi Safarpour
Deep Neural Network Practical Algorithm Error Detection Timing Analysis Digital Circuit

October 2, 2024

GADFA: Generator-Assisted Decision-Focused Approach for Opinion Expressing Timing Identification
Chung-Chi Chen, Hiroya Takamura, Ichiro Kobayashi, Yusuke Miyao
Constructive Approach Novel Dataset Text Generation Model Human Opinion Timing Analysis Medium Bias Opinion Mining

September 3, 2024

TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model
Defu Cao, Wen Ye, Yizhou Zhang, Yan Liu
Timing Analysis Autoregressive Generative Model Real World Time Series Time Series Foundation Model Auto Regressive Generation

August 15, 2024

Timing Analysis and Priority-driven Enhancements of ROS 2 Multi-threaded Executors
Hoora Sobhani, Hyunjong Choi, Hyoseung Kim
Robot Operating System Ro Package Timing Analysis Response Time Priority Driven Scheduling Enhancement Near Optimal Executor

May 28, 2024

SST-GCN: The Sequential based Spatio-Temporal Graph Convolutional networks for Minute-level and Road-level Traffic Accident Risk Prediction
Tae-wook Kim, Han-jin Lee, Hyeon-Jin Jung, Ji-Woong Yang, Ellen J. Hong
Sequential Information Traffic Accident Timing Analysis Traffic Accident Prediction Accident Analysis

April 20, 2024

Pragmatic Formal Verification Methodology for Clock Domain Crossing (CDC)
Aman Kumar, Muhammad Ul Haque Khan, Bijitendra Mittra
Formal Verification Timing Analysis System on Chip

March 14, 2024

Right Place, Right Time! Towards ObjectNav for Non-Stationary Goals
Vishnu Sashank Dorbala, Bhrij Patel, Amrit Singh Bedi, Dinesh Manocha
Timing Analysis Location Information Object Navigation ObjectNav Performance Time Varying Objective Memory Less Agent Navigation Benchmark

March 13, 2024

Learning-driven Physically-aware Large-scale Circuit Gate Sizing
Yuyang Ye, Peng Xu, Lizheng Ren, Tinghuan Chen, Hao Yan, Bei Yu, Longxing Shi
Large Scale Circuit Timing Analysis

February 27, 2024

PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling
Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan
Pre Training Attention Model Large Scale Circuit Timing Analysis Synaptic Delay Circuit Representation

February 16, 2024

Human Goal Recognition as Bayesian Inference: Investigating the Impact of Actions, Timing, and Goal Solvability
Chenyuan Zhang, Charles Kemp, Nir Lipovetzky
Bayesian Inference Past Action Timing Analysis Goal Recognition Goal Reachability

February 12, 2024

IR-Aware ECO Timing Optimization Using Reinforcement Learning
Wenjing Jiang, Vidya A. Chhabria, Sachin S. Sapatnekar
Reinforcement Learning Timing Analysis

February 9, 2024

Asking the Right Question at the Right Time: Human and Model Uncertainty Guidance to Ask Clarification Questions
Alberto Testoni, Raquel Fernández
Dialogue System Human Generated Timing Analysis Clarification Question High Quality Question Collaborative Dialogue Model Guidance

January 12, 2024

Enhancements for 5G NR PRACH Reception: An AI/ML Approach
Rohit Singh, Anil Kumar Yerrapragada, Jeeva Keshav S, Radha Krishna Ganti
Artificial Intelligence Feature Enhancement Machine Learning Approach Timing Analysis Random Access Receiver Behavior Propagation Delay

December 23, 2023

Variability-Aware Approximate Circuit Synthesis via Genetic Optimization
Konstantinos Balaskas, Florian Klemme, Georgios Zervakis, Kostas Siozios, Hussam Amrouch, Jörg Henkel
Evolutionary Optimization Timing Analysis

December 10, 2023

A quantitative fusion strategy of stock picking and timing based on Particle Swarm Optimized-Back Propagation Neural Network and Multivariate Gaussian-Hidden Markov Model
Huajian Li, Longjian Li, Jiajian Liang, Weinan Dai
Back Propagation Timing Analysis Financial Forecasting Chinese Stock Market Gaussian Mixture Model HMM

September 14, 2023

Optimally Controlling the Timing of Energy Transfer in Elastic Joints: Experimental Validation of the Bi-Stiffness Actuation Concept
Edmundo Pozo Fortunić, Mehmet C. Yildirim, Dennis Ossadnik, Abdalla Swikir, Saeed Abdolshah, Sami Haddadin
Experimental Validation Timing Analysis Compliant Mechanism Series Elastic Actuator Heat Transfer Variable Stiffness Actuator Stiffness Actuation

July 28, 2023

The timing bottleneck: Why timing and overlap are mission-critical for conversational user interfaces, speech recognition and dialogue systems
Andreas Liesenfeld, Alianda Lopez, Mark Dingemanse
Speech Recognition Dialogue System Speech Recognition System Major Challenge Bottleneck Timing Analysis Conversational Interface

Timing Analysis

Papers

Timing and Dynamics of the Rosanna Shuffle

Remote Timing Attacks on Efficient Language Model Inference

Patrol Security Game: Defending Against Adversary with Freedom in Attack Timing, Location, and Duration

Shavette: Low Power Neural Network Acceleration via Algorithm-level Error Detection and Undervolting

GADFA: Generator-Assisted Decision-Focused Approach for Opinion Expressing Timing Identification

TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model

Timing Analysis and Priority-driven Enhancements of ROS 2 Multi-threaded Executors

SST-GCN: The Sequential based Spatio-Temporal Graph Convolutional networks for Minute-level and Road-level Traffic Accident Risk Prediction

Pragmatic Formal Verification Methodology for Clock Domain Crossing (CDC)

Right Place, Right Time! Towards ObjectNav for Non-Stationary Goals

Learning-driven Physically-aware Large-scale Circuit Gate Sizing

PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling

Human Goal Recognition as Bayesian Inference: Investigating the Impact of Actions, Timing, and Goal Solvability

IR-Aware ECO Timing Optimization Using Reinforcement Learning

Asking the Right Question at the Right Time: Human and Model Uncertainty Guidance to Ask Clarification Questions

Enhancements for 5G NR PRACH Reception: An AI/ML Approach

Variability-Aware Approximate Circuit Synthesis via Genetic Optimization

A quantitative fusion strategy of stock picking and timing based on Particle Swarm Optimized-Back Propagation Neural Network and Multivariate Gaussian-Hidden Markov Model

Optimally Controlling the Timing of Energy Transfer in Elastic Joints: Experimental Validation of the Bi-Stiffness Actuation Concept

The timing bottleneck: Why timing and overlap are mission-critical for conversational user interfaces, speech recognition and dialogue systems