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Evaluation of conditioned Latin hypercube sampling for soil mapping based on a machine learning method
Conditioned Latin hypercube sampling Soil mapping Representativeness Sample randomness
2024/1/12
Sampling design plays an important role in soil survey and soil mapping. Conditioned Latin hypercube sampling (cLHS) has been proven as an efficient sampling strategy and used widely in digital soil m...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Direct sampling method to inverse wave-number-dependent source problems: determination of the support of a stationary source
反波数 相关源问题 直接采样 固定源
2023/11/29
This talk is concerned with a direct sampling method for imaging the support of a frequency-dependent source term embedded in a homogeneous and isotropic medium. The source term is given by the Fourie...
Tokyo Electric Power Company (Tepco) has demonstrated its capabilities for accurate and precise measurements of the radionuclides present in the treated water stored at the Fukushima Daiichi site, acc...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Quantum Algorithms for High-Dimensional Sampling Problems
高维采样 量子算法 高维抽样问题
2023/4/14
High-dimensional sampling problems are ubiquitous in statistics, operations research, machine learning, etc. In this talk, I will introduce quantum algorithms for two important problems in high-dimens...
Busy GPUs: Sampling and pipelining method speeds up deep learning on large graphs（图）
GPU 流水线 大型图形 深度学习
2023/6/20
Graphs, a potentially extensive web of nodes connected by edges, can be used to express and interrogate relationships between data, like social connections, financial transactions, traffic, energy gri...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Failure-informed adaptive sampling for PINNs
PINN 故障知情 自适应 采样
2023/5/8
Physics-informed neural networks (PINNs) have emerged as an effective technique for solving PDEs in a wide range of domains. Recent research has demonstrated, however, that the performance of PINNs ca...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Deep adaptive sampling for numerical PDEs
数值 偏微分方程 深度 自适应采样
2023/5/15
Adaptive computation is of great importance in numerical simulations. The ideas for adaptive computations can be dated back to adaptive finite element methods in 1970s. In this talk, we shall first re...
Compact and Scalable Arbitrary-centered Discrete Gaussian Sampling over Integers
Lattice-based crypto discrete Gaussian sampling implementation
2019/9/16
The arbitrary-centered discrete Gaussian sampler is a fundamental subroutine in implementing lattice trapdoor sampling algorithms. However, existing approaches typically rely on either a fast implemen...
Efficiently Masking Binomial Sampling at Arbitrary Orders for Lattice-Based Crypto
Masking Post-quantum Cryptography
2019/8/8
With the rising popularity of lattice-based cryptography, the Learning with Errors (LWE) problem has emerged as a fundamental core of numerous encryption and key exchange schemes. Many LWE-based schem...
Securely Sampling Biased Coins with Applications to Differential Privacy
distributed differential privacy secure computation
2019/7/17
We design an efficient method for sampling a large batch of dd independent coins with a given bias p∈[0,1]p∈[0,1]. The folklore secure computation method for doing so requires O(λ+logd)O(λ+logd...
The Adversarial Robustness of Sampling
random sampling adversarial model epsilon-approximation
2019/7/8
Random sampling is a fundamental primitive in modern algorithms, statistics, and machine learning, used as a generic method to obtain a small yet ``representative'' subset of the data. In this work, w...
On the Geometric Ergodicity of Metropolis-Hastings Algorithms for Lattice Gaussian Sampling
Lattice Gaussian sampling MCMC methods Metropolis-Hastings algorithm
2019/6/10
Sampling from the lattice Gaussian distribution has emerged as an important problem in coding, decoding and cryptography. In this paper, the classic Metropolis-Hastings (MH) algorithm in Markov chain ...
Polar Sampler: Discrete Gaussian Sampling over the Integers Using Polar Codes
Discrete Gaussian sampling Polar codes Integer lattice
2019/6/10
Cryptographic constructions based on hard lattice problems have emerged as a front runner for the standardization of post quantum public key cryptography. As the standardization process takes place, o...
Lattice Gaussian Sampling by Markov Chain Monte Carlo: Bounded Distance Decoding and Trapdoor Sampling
lattice Gaussian sampling Markov chain Monte Carlo bounded distance decoding
2019/6/5
Sampling from the lattice Gaussian distribution plays an important role in various research fields. In this paper, the Markov chain Monte Carlo (MCMC)-based sampling technique is advanced in several f...
GALACTICS: Gaussian Sampling for Lattice-Based Constant-Time Implementation of Cryptographic Signatures, Revisited
Timing Attack Phase Retrieval algorithms Constant-time Implementation
2019/5/21
In this paper, we propose a constant-time implementation of the BLISS lattice-based signature scheme. BLISS is possibly the most efficient lattice-based signature scheme proposed so far, with a level ...