Search Results - "Mathematics of computing Probability and statistics Statistical paradigms"

Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks by Risso, Matteo, Burrello, Alessio, Pagliari, Daniele Jahier, Conti, Francesco, Lamberti, Lorenzo, Macii, Enrico, Benini, Luca, Poncino, Massimo

“…Temporal Convolutional Networks (TCNs) are promising Deep Learning models for time-series processing tasks. One key feature of TCNs is time-dilated…”
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Multidimensional analog test metrics estimation using extreme value theory and statistical blockade by Stratigopoulos, Haralampos-G., Faubet, Pierre, Courant, Yoann, Mohamed, Firas

“…The high cost of testing certain analog, mixed-signal, and RF circuits has driven in the recent years the development of alternative low-cost tests to replace…”
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Automata-Based Abstraction Refinement for µHORS Model Checking by Kobayashi, Naoki, Xin Li

“…The model checking of higher-order recursion schemes (HORS), aka. Higher-order model checking, is the problem of checking whether the tree generated by a given…”
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MixQ: Taming Dynamic Outliers in Mixed-Precision Quantization by Online Prediction by Chen, Yidong, Zhang, Chen, Dong, Rongchao, Zhang, Haoyuan, Zhang, Yonghua, Lu, Zhonghua, Zhai, Jidong

“…Mixed-precision quantization has shown to be a promising method for enhancing the efficiency of LLMs. This technique boosts computational efficiency by…”
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KalmanHD: Robust On-Device Time Series Forecasting with Hyperdimensional Computing by Moreno, Ivannia Gomez, Yu, Xiaofan, Rosing, Tajana

“…Time series forecasting is shifting towards Edge AI, where models are trained and executed on edge devices instead of in the cloud. However, training…”
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Poster: Comparative Study of Transformer Models on a Large Multivariate Time Series HAR Dataset by Kwon, Hyungtaek, Xie, Zongxing, Liu, Mengjing, Ye, Fan

“…In Activities of Daily Living (ADL) research, which has gained prominence due to the burgeoning aging population, the challenge of acquiring sufficient ground…”
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Black-Box Adversarial Attacks on Spiking Neural Network for Time Series Data by Hutchins, Jack, Ferrer, Diego, Fillers, James, Schuman, Catherine

“…This paper examines the vulnerability of spiking neural networks (SNNs) trained on time series data to adversarial attacks by employing artificial neural…”
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Supervised Radio Frequency Interference Detection with SNNs by Pritchard, Nicholas J., Wicenec, Andreas, Bennamoun, Mohammed, Dodson, Richard

“…Radio Frequency Interference (RFI) poses a significant challenge in radio astronomy, arising from terrestrial and celestial sources, disrupting observations…”
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An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems by Shilpika, Shilpika, Lusch, Bethany, Vishwanath, Venkatram, Papka, Michael E.

“…With the growing complexity in architecture and the size of large-scale computing systems, monitoring and analyzing system behavior and events has become…”
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A Hierarchical Deep Learning Approach for Predicting Job Queue Times in HPC Systems by Lovell, Austin, Wisniewski, Philip, Rodenbeck, Sarah, Ashish

“…Accurate wait-time prediction for HPC jobs contributes to a positive user experience but has historically been a challenging task. Previous models lack the…”
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From Failure to Insight: Analyzing Disk Breakdowns in Large-Scale HPC Environments by George, Anjus, Wang, Meng, Hanley, Jesse, Ransom, Garrett Wilson, Bent, John, Zimmer, Christopher

“…Disk failure data provides valuable insights for preventing failures, enhancing storage robustness, guiding system design and deployment, and ensuring reliable…”
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Unsupervised Learning of Spatio-Temporal Patterns in Spiking Neuronal Networks by Feiler, Florian, Neftci, Emre, Bouhadjar, Younes

“…The ability to predict future events or patterns based on previous experience is crucial for many applications such as traffic control, weather forecasting, or…”
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Reliable Machine Learning for Wearable Activity Monitoring: Novel Algorithms and Theoretical Guarantees by Hussein, Dina, Belkhouja, Taha, Bhat, Ganapati, Doppa, Janardhan Rao

“…Wearable devices are becoming popular for health and activity monitoring. The machine learning (ML) models for these applications are trained by collecting…”
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Modeling Interconnect Variability Using Efficient Parametric Model Order Reduction by Li, Peng, Liu, Frank, Li, Xin, Pileggi, Lawrence T., Nassif, Sani R.

“…Assessing IC manufacturing process fluctuations and their impacts on IC interconnect performance has become unavoidable for modern DSM designs. However, the…”
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Bayesian methods for data analysis in software engineering by Sridharan, Mohan, Namin, Akbar Siami

“…Software engineering researchers analyze programs by applying a range of test cases, measuring relevant statistics and reasoning about the observed phenomena…”
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UCLID5: integrating modeling, verification, synthesis and learning by Seshia, Sanjit A., Subramanyan, Pramod

“…Formal methods for system design are facinga confluence of transformative trends. First, systems are increasingly heterogeneous, comprising some combination of…”
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Defect Aware Test Patterns by Tang, Huaxing, Chen, Gang, Reddy, Sudhakar M., Wang, Chen, Rajski, Janusz, Pomeranz, Irith

“…A method to generate test patterns referred to as defect aware test patterns is proposed. Defect aware test patterns have greater ability to detect un-modeled…”
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Circadian Rhythms in Neurospora Exhibit Biologically Relevant Driven and Damped Harmonic Oscillations by De Los Santos, Hannah, Hurley, Jennifer M, Collins, Emily J, Bennett, Kristin P

“…Circadian rhythms are endogenous cycles of approximately 24 hours reinforced by external cues such as light. These cycles are typically modeled as harmonic…”
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A Time Series Analysis of TravisTorrent Builds: To Everything There Is a Season by Atchison, Abigail, Berardi, Christina, Best, Natalie, Stevens, Elizabeth, Linstead, Erik

“…We apply a seasonal decomposition time series analysisto TravisTorrent data in order to examine growth trendsand periodic behavior related to number of builds…”
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Product popularity modeling via time series embedding by C, Santosh K, De Sarkar, Sohan, Mukherjee, Arjun

“…Electronic commerce has a dominant role in consumer economics. and popular garnering a lot of research attention. Understanding consumer market dynamics based…”
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