Search
Search Results
-
Simulating Sparse and Shallow Gaussian Boson Sampling
Gaussian Boson Sampling (GBS) is one of the most popular quantum supremacy protocols as it does not require universal control over the quantum...
-
On the Rejection Rate of Exact Sampling Algorithm for Discrete Gaussian Distributions over the Integers
A discrete Gaussian distribution over the integers is a Gaussian distribution restricted so that its support is the set of all the integers. This...
-
Polar sampler: A novel Bernoulli sampler using polar codes with application to integer Gaussian sampling
Cryptographic constructions based on hard lattice problems have emerged as a front runner for the standardization of post-quantum public-key...
-
Generic, efficient and isochronous Gaussian sampling over the integers
Gaussian sampling over the integers is one of the fundamental building blocks of lattice-based cryptography. Among the extensively used trapdoor...
-
On Gaussian Sampling, Smoothing Parameter and Application to Signatures
We present a general framework for polynomial-time lattice Gaussian sampling. It revolves around a systematic study of the discrete Gaussian measure...
-
A Gaussian regularization for derivative sampling interpolation of signals in the linear canonical transform representations
The linear canonical transform (LCT) plays an important role in signal and image processing from both theoretical and practical points of view....
-
Discrete Approximations of Gaussian Smoothing and Gaussian Derivatives
This paper develops an in-depth treatment concerning the problem of approximating the Gaussian smoothing and the Gaussian derivative computations in...
-
Gaussian Balanced Sampling for End-to-End Pedestrian Detector
Recently, NMS-free detector has become a research hotspot to eliminate negative influences, while NMS-based detector mis-suppress objects in crowd...
-
FRI Sampling for Ultra-wideband Gaussian Pulses Based on Non-ideal LPF
In the field of radar signal processing, the ultra-high sampling frequency has always limited the development of radar technology. Finite rate of...
-
Cycle-Accurate Power Side-Channel Analysis Using the ChipWhisperer: A Case Study on Gaussian Sampling
This paper presents an approach to uncover and analyze power side-channel leakages on a processor cycle level precision. By carefully designing and...
-
A Bayesian sampling framework for asymmetric generalized Gaussian mixture models learning
This paper proposes an effective unsupervised Bayesian framework for learning a finite mixture of asymmetric generalized Gaussian distributions...
-
Gaussian Processes
In the previous chapter, we covered the derivation of the posterior distribution for parameter θ as well as the predictive posterior distribution of...
-
Frequency-importance gaussian splatting for real-time lightweight radiance field rendering
Recently, there have been significant developments in the realm of novel view synthesis relying on radiance fields. By incorporating the Splatting...
-
Improving Transferability of Adversarial Attacks with Gaussian Gradient Enhance Momentum
Deep neural networks (DNNs) can be susceptible to subtle perturbations that may mislead the model. While adversarial attacks are successful in the...
-
Recent advances in 3D Gaussian splatting
The emergence of 3D Gaussian splatting (3DGS) has greatly accelerated rendering in novel view synthesis. Unlike neural implicit representations like...
-
Compilation of Gaussian boson samplers for quantum computing
Gaussian boson sampling is gaining relevance among the multiple technologies currently implementing quantum computing. The problem of sampling out of...
-
Preimage Sampling in the Higher-bit Approximate Setting with a Non-spherical Gaussian Sampler
Approximate lattice trapdoors are introduced to improve the efficiency of lattice-based hash-and-sign signature. There are two improvements of the...
-
Noise-Robust Gaussian Distribution Based Imbalanced Oversampling
Imbalanced data classification has become one of the hot topics in the field of data mining and machine learning. Oversampling is one of the...
-
A universal programmable Gaussian boson sampler for drug discovery
Gaussian boson sampling (GBS) has the potential to solve complex graph problems, such as clique finding, which is relevant to drug discovery tasks....
-
