1 citations · 2 across the 3 of their papers we have counts for
8 papers
Quantum Compression for Distributed Entanglement
Jan Østergaard, Shashi Raj Pandey, Christophe Biscio +2
We study compression strategies for multipartite entanglement distribution under uncertainty in the partitioning of the quantum state. When the partition is not known at the time o…
Conformal Data Contamination Tests for Trading or Sharing of Data
Martin V. Vejling, Shashi Raj Pandey, Christophe A. N. Biscio +1
The amount of quality data in many machine learning tasks is limited to what is available locally to data owners. The set of quality data can be expanded through trading or sharing…
Conformal novelty detection for replicate point patterns with FDR or FWER control
Christophe A. N. Biscio, Adrien Mazoyer, Martin V. Vejling
Monte Carlo tests are widely used for computing valid p-values without requiring known distributions of test statistics. When performing multiple Monte Carlo tests, it is essential…
A Unified Approach for Multi-Scale Synchronous Correlation Search in Big Time Series -- Full Version
Nguyen Ho, Van Long Ho, Torben Bach Pedersen +2
The wide deployment of IoT sensors has enabled the collection of very big time series across different domains, from which advanced analytics can be performed to find unknown relat…
A functional central limit theorem for the empirical Ripley's K-function
Christophe A. N. Biscio, Anne Marie Svane
We establish a functional central limit theorem for Ripley's K-function for two classes of point processes. One is the class of point processes having exponential decay of correlat…
Statistical learning and cross-validation for point processes
Ottmar Cronie, Mehdi Moradi, Christophe A. N. Biscio
This paper presents the first general (supervised) statistical learning framework for point processes in general spaces. Our approach is based on the combination of two new concept…