Results 81 to 90 of about 13,061 (285)

Privacy by Postprocessing the Discrete Laplace Mechanism

We show that an "old dog", the classical discrete Laplace (aka.~geometric) mechanism, can "perform new tricks": 1. It can be post-processed to yield a simple, unbiased estimator of any subexponential function $f$ of the original data, giving a simple, discrete, multivariate version of the recent unbiasing result for the Laplace mechanism by Calmon et ...
Hillebrand, Quentin, Imola, Jacob, Pagh, Rasmus, Sejer, Sia   +3 more
openaire   +2 more sources

Penyelesaian Model Black-Scholes Pada American Stock Loan Menggunakan Transformasi Laplace

, 2023
Stock loan adalah kontrak perjanjian yang melibatkan dua pihak yakni lender sebagai pemberi pinjaman dan borrower sebagai peminjam dengan jaminan saham. Mekanisme pelaksanaan stock loan hampir sama dengan American call option. Oleh karena itu, stock loan
Anggraini, Silda Sari
core  

Programmable Multi‐Axially Aligned Aerogels via Sequential Freeze‐Casting for Tailored Anisotropy and Tunable Mechanics

Advanced Science, EarlyView.
Conventional single‐gradient freeze‐casting typically produces unidirectional porous architectures with limited transverse connectivity. The Sequential Hybridization by Infiltration and Freeze‐casting Technique (SHIFT) addresses this constraint by integrating secondary aligned structures within a preformed primary scaffold.
Kiho Sung, Sungchul Shin
wiley   +1 more source

Study of electric field distorted by space charges under positive lightning impulse voltage

Results in Physics, 2018
Actually, many insulation problems are related to electric fields. And measuring electric fields is an important research topic of high-voltage engineering.
Zezhong Wang, Yinan Geng
doaj   +1 more source

Experimental and computational studies of hydroxyl radical kinetics at very low temperatures [PDF]

, 2012
In this thesis low temperature rate coefficients have been measured for a number of reactions involving the OH radical using a pulsed Laval nozzle apparatus.
Shannon, Robin Joseph
core  

Additive Logistic Mechanism for Privacy-Preserving Self-Supervised Learning

, 2022
We study the privacy risks that are associated with training a neural network's weights with self-supervised learning algorithms. Through empirical evidence, we show that the fine-tuning stage, in which the network weights are updated with an informative
Topcu, Ufuk, Yang, Yunhao, Gohari, Parham   +2 more
core  

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Beyond Heuristic Thresholds: Uncertainty-Aware Industrial Anomaly Detection With Last-Layer Laplace Approximation

IEEE Access
Unsupervised anomaly detection methods for industrial inspection typically adopt a two-stage inference pipeline: a pixel-level anomaly map is first produced, and a binary image-level decision is then derived via adaptive thresholding.
Yu-Hang Huang, Sio-Long Lo
doaj   +1 more source

A Kinetic–Energetic Bottleneck of Charge‐Transfer Injection Governs Energy Loss in Organic Solar Cells

Advanced Energy Materials, EarlyView.
Kinetic–energetic projection of time‐resolved photoluminescence reveals that charge‐transfer injection acts as a universal bottleneck in organic solar cells. A physics‐constrained Bayesian framework identifies an emergent effective CT injection rate governing the trade‐off between charge generation and nonradiative energy loss.
Rong Wang, Tobias Osterrieder, Atul Shukla, Christos L. Chochos, Vasilis G. Gregoriou, Yakun He, Hua Tang, Julian Matthias Haffner‐Schirmer, Karen Forberich, Ning Li, Thomas Heumueller, Frédéric Laquai, Jens Hauch, Safa Shoaee, Dieter Neher, Larry Lüer, Christoph J. Brabec   +16 more
wiley   +1 more source

A robust soft measurement method for density of dense medium suspension based on Stochastic Configuration Network

Gong-kuang zidonghua
To address the problem that existing dense medium suspension density measurement methods are easily affected by outliers, a robust soft measurement method for dense medium suspension density based on Stochastic Configuration Network (SCN) was proposed ...
PENG Qiyue, CHU Ningxin, LIU Xiaoqing, ZHOU Jiayi, LIN Chuyi   +4 more
doaj   +1 more source