Publications associées à Variational Inference with Mixture Model Approximation for Applications in Robotics

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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

Variational Inference with Mixture Model Approximation for Applications in Robotics

Graph Chatbot

Chattez avec Graph Search

Higher Order Asymptotics: Applications to Satellite Conjunction and Boundary Problems

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Product of experts for robot learning from demonstration

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Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

Higher Order Asymptotics: Applications to Satellite Conjunction and Boundary Problems

Safe Motion Planning against Multimodal Distributions Based on a Scenario Approach

Learning from demonstration using products of experts: Applications to manipulation and task prioritization

Memory of Motion for Initializing Optimization in Robotics

Product of experts for robot learning from demonstration

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

Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

Scalable Stochastic Optimization: Scenario Reduction with Guarantees

Learning Constrained Distributions of Robot Configurations with Generative Adversarial Network

Collaborative Sampling in Generative Adversarial Networks