Publications associées à System and methods for differential imaging using a lock-in camera

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Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

Serge Vaudenay

The maximal achievable advantage of a (computationally unbounded) distinguisher to determine whether a source

Z

is distributed according to distribution

P_0

P_1

, when given access to one sample of

Z

, is characterized by the statistical distance ...

Springer, Cham2020

System and methods for differential imaging using a lock-in camera

Graph Chatbot

Chattez avec Graph Search

LAQy: Efficient and Reusable Query Approximations via Lazy Sampling

Structure-property relationships and mixed conductivity in layered hybrid perovskites based on phenyl-derived spacers

The Impact of Changes in Resolution on the Persistent Homology of Images

Variational Inference with Mixture Model Approximation for Applications in Robotics

Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

First observation of spalling in tantalum at high temperatures induced by high energy proton beam impacts

Collaborative Sampling in Generative Adversarial Networks

Moiré effects produced by superpositions of micro-lens arrays

Particle number control for direct simulation Monte-Carlo methodology using kernel estimates

Compact lensless digital holography

LAQy: Efficient and Reusable Query Approximations via Lazy Sampling

Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

Variational Inference with Mixture Model Approximation for Applications in Robotics

Moiré effects produced by superpositions of micro-lens arrays

Compact lensless digital holography

The Impact of Changes in Resolution on the Persistent Homology of Images

Structure-property relationships and mixed conductivity in layered hybrid perovskites based on phenyl-derived spacers

Particle number control for direct simulation Monte-Carlo methodology using kernel estimates

First observation of spalling in tantalum at high temperatures induced by high energy proton beam impacts

Collaborative Sampling in Generative Adversarial Networks