A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Filters
Efficient Parameter Importance Analysis via Ablation with Surrogates
2017
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
Preserved Fulltext
Here, we show how the running time cost of ablation analysis, a well-known general-purpose approach for assessing parameter importance, can be reduced substantially by using regression models of algorithm ...
While impressive performance gains are often achieved in this manner, additional, potentially costly parameter importance analysis is required to gain insights into what parameter changes are most responsible ...
Efficient Ablation via Surrogates As previously mentioned, ablation analysis is an expensive process due to the algorithm runs that have to be performed to gather enough empirical evidence to compare parameter ...
doi:10.1609/aaai.v31i1.10657
fatcat:4vbl543eovhczfo5cfmzqfsjbi
Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Beyond the comprehensive evaluations, we offer an efficient and unified database configuration tuning benchmark via surrogates that reduces the evaluation cost to a minimum, allowing for extensive runs ...
and analysis of new techniques. ...
The performance evaluation is approximated via surrogate for efficiency reasons. The order that the feature is changed is the importance rank from the ablation analysis. ...
arXiv:2110.12654v4
fatcat:rfzh4rpp6relxfcmlu3qbtsg2m
Trajectory-Based Off-Policy Deep Reinforcement Learning
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Incorporation of previous rollouts via importance sampling greatly improves data-efficiency, whilst stochastic optimization schemes facilitate the escape from local optima. ...
This work addresses these weaknesses by combining recent improvements in the reuse of off-policy data and exploration in parameter space with deterministic behavioral policies. ...
In the hyper-parameter tuning phase, experiments with TRPO and PPO have been conducted based on smaller batchsizes, but due to the lack of data-efficient incorporation of off-policy data, no faster and ...
arXiv:1905.05710v1
fatcat:6po2azo7yndsrjmh4ewcdnfmum
Catheter Ablation of Atrial Fibrillation: A Review of the Current Status and Future Directions
2017
Journal of Innovations in Cardiac Rhythm Management
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Over the last 20 years, the frequency of use of catheter ablation to treat AF has grown, commensurate with the rise in arrhythmia burden and via a number of technical advancements. ...
These developments can be divided into new techniques for myocardial ablation, improvements in the understanding of AF trigger mechanisms, and advancements in atrial mapping. ...
As a result, ablation time was often the only parameter under direct and measurable control of the electrophysiologist. ...
doi:10.19102/icrm.2017.081101
pmid:32477760
pmcid:PMC7252758
fatcat:e54bnlv5pnc7lpkryyvyhlmsau
Black-box Gradient Attack on Graph Neural Networks: Deeper Insights in Graph-based Attack and Defense
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Other Versions
As a result, a simple yet useful strategy to defense against Mettack is to train the GNN with the validation set. ...
While being able to successfully decrease the performance of GNNs, most existing attacking algorithms require access to either the model parameters or the training data, which is not practical in the real ...
Ablation Study and Parameter Analysis To answer the research question RQ3, we conducted ablation studies and parameter analysis. For ablation study, we created two variant of our method. ...
arXiv:2104.15061v2
fatcat:a7odz5p5mjb73pzb6urkrfajcu
Are Gradients on Graph Structure Reliable in Gray-box Attacks?
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
We propose edge discrete sampling to select the edge perturbations associated with hierarchical candidate selection to ensure computational efficiency. ...
Previous gray-box attackers employ gradients from the surrogate model to locate the vulnerable edges to perturb the graph structure. ...
The random initialization of parameters leads to variance in surrogate model training, which affects the structural gradients via back-propagation. ...
arXiv:2208.05514v1
fatcat:wpp46ix3azgt3o4ux2v3qgwude
Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2021 pre-print arXiv:2107.12809v2 fatcat:nzpta7bbojhqpkkazmtrnrui3iOther Versions
This article is aimed at readers with some understanding of Bayesian methods, but not necessarily with knowledge of additive manufacturing; the software performance overview and implementation instructions ...
Matern kernels are parameterized by a smoothness parameter ν > 0, and samples from a GP with a higher ν value are more smoother. ...
We want to quickly determine an optimal parameter setting such that the productivity (ablated mass per ablation time interval) is high and the average particle size is small. ...
arXiv:2107.12809v3
fatcat:fvw3dmx2s5azpje5cs6dmhqkni
Learning Composable Energy Surrogates for PDE Order Reduction
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Costly ground-truth simulation of the full structure is avoided, as training data are generated by performing finite element analysis with individual components. ...
Meta-materials are an important emerging class of engineered materials in which complex macroscopic behaviour--whether electromagnetic, thermal, or mechanical--arises from modular substructure. ...
The effects of these design choices are quantified via an ablation study in the appendix. Reduced-basis parameterization. We require a vector representation for the functionũ. ...
arXiv:2005.06549v2
fatcat:tqzgdkdj7vdxrgliglpwqqilhq
Short-Time Estimation of Fractionation in Atrial Fibrillation with Coarse-Grained Correlation Dimension for Mapping the Atrial Substrate
2020
Entropy
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Atrial fibrillation (AF) is currently the most common cardiac arrhythmia, with catheter ablation (CA) of the pulmonary veins (PV) being its first line therapy. ...
The receiver operating characteristics (ROC) analysis for highly fractionated EGMs, showed 100% specificity and sensitivity in Group 1 and 87.5% specificity and 93.6% sensitivity in Group 2. ...
It is important, therefore, to choose r cg as a trade-off between these two parameters. ...
doi:10.3390/e22020232
pmid:33286006
fatcat:ewy4tvv2hzat5jbumugb2t4kee
Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models
[chapter]
2017
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2020 pre-print arXiv:2006.01983v1 fatcat:yih64iqqmvdvpkircw6schg5oa
A common solution is to replace the simulation model with a computationally-efficient surrogate for a faster sampling. ...
Estimation of patient-specific model parameters is important for personalized modeling, although sparse and noisy clinical data can introduce significant uncertainty in the estimated parameter values. ...
Below we describe the presented method that accelerates MCMC sampling of (3) via the use of an efficient GP surrogate in the modification of proposal distributions. ...
doi:10.1007/978-3-319-59050-9_18
fatcat:v2shjwc2tvab7kon74sbn6wz7y
Exploring Sensitivity of ICF Outputs to Design Parameters in Experiments Using Machine Learning
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
We present work using random forest (RF) regression for prediction of yield, velocity, and other experimental outcomes given a suite of design parameters, along with an assessment of important relationships ...
In this paper, we leverage developments in machine learning (ML) and methods for ML feature importance/sensitivity analysis to identify complex relationships in ways that are difficult to process using ...
The velocity of a DT layered implosion is inferred via a surrogate convergent ablator that uses X-ray radiography to observe capsule radius as a function of time. ...
arXiv:2010.04254v1
fatcat:ff2sno3u4zf7los55izw6f3boi
PiRank: Scalable Learning To Rank via Differentiable Sorting
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Other Versions
A key challenge with machine learning approaches for ranking is the gap between the performance metrics of interest and the surrogate loss functions that can be optimized with gradient-based methods. ...
This gap arises because ranking metrics typically involve a sorting operation which is not differentiable w.r.t. the model parameters. ...
The PiRank surrogate learning objective can be optimized via two
gradient-based techniques in practice. ...
arXiv:2012.06731v2
fatcat:amtphimdijcodefysa67wxv2mu
Utilization of MOSES Modulated Pulse Mode Results in Improved Efficiency in Holmium:YAG laser Ablation of the Prostate
2021
Urology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
However, HoLAP with MOSES had significantly higher ablation efficiency (0.59±0.24 g/min without vs. 0.86 0.5 g/min with MOSES; p=0.01). ...
Ablation time was similar at 49.6±26.1 minutes without and 40.7±41.2 minutes with MOSES (p=0.38). ...
Because 20 procedures had missing ablation times, we calculated a surrogate for ablation efficiency utilizing total OR time (grams/total OR time), which also showed improved efficiency with use of MOSES ...
doi:10.1016/j.urology.2020.12.024
pmid:33412223
fatcat:vtqti3hcjbg2blyqhsxzsxhxwq
Germline replacement by blastula cell transplantation in the fish medaka
2016
Scientific Reports
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
surrogate production 2,8-10 . ...
It has remained largely unknown whether BCT is able to achieve GR at a high efficiency. Here we report efficient GR by BCT into blastula embryos in the fish medaka (Oryzias latipes). ...
Our finding that BCT can achieve a high efficiency of fertility restoration and GR makes medaka an ideal model organism for the experimental analysis of these biological parameters towards BCT-mediated ...
doi:10.1038/srep29658
pmid:27406328
pmcid:PMC4942801
fatcat:gal6xmwb6zehthcx2e4umkc6sy
Biophysical Parameters During Radiofrequency Catheter Ablation of Scar-Mediated Ventricular Tachycardia: Epicardial and Endocardial Applications via Manual and Magnetic Navigation
2014
Cardiovascular Electrophysiology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
with open-irrigation. ...
There is a paucity of data on biophysical parameters during radiofrequency ablation of scarmediated ventricular tachycardia (VT). ...
As interventional MR-guided ablation continues to evolve, studies correlating these biophysical surrogate parameters with transmural lesions will provide additional insight. ...
doi:10.1111/jce.12477
pmid:24946895
pmcid:PMC4282185
fatcat:h3sljtfpa5axvd76wanzbl7cje
« Previous
Showing results 1 — 15 out of 5,106 results