TIME SERIES FROM THE ORDINAL VIEWPOINT
KARSTEN KELLER , MATHIEU SINN , JAN EMONDS
Stochastics and Dynamics 07 ( 02) 247 -272
44
2007
Covariances of zero crossings in Gaussian processes
MATHIEU Sinn , KARSTEN Keller
Теория вероятностей и ее применения 55 ( 3) 548 -570
4
2010
Forecasting Uncertainty in Electricity Demand
Bei Chen , Mathieu Sinn , Tri Kurniawan Wijaya
national conference on artificial intelligence
13
2015
Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting
Yannig Goude , Pascal Pompey , Mathieu Sinn , Amadou Ba
neural information processing systems 25 2510 -2518
33
2012
Central Limit Theorems for Conditional Markov Chains
Bei Chen , Mathieu Sinn
international conference on artificial intelligence and statistics 554 -562
1
2013
Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions
Bei Chen , Mathieu Sinn
neural information processing systems 25 1808 -1816
1
2012
Asymptotic Theory for Linear-Chain Conditional Random Fields
Pascal Poupart , Mathieu Sinn
international conference on artificial intelligence and statistics 679 -687
7
2011
Data Management System for Energy Analytics and its Application to Forecasting
Pascal Pompey , Yiannis Gkoufas , Bei Chen , Mathieu Sinn
edbt/icdt workshops
4
2016
Smart walkers!: enhancing the mobility of the elderly
Pascal Poupart , Mathieu Sinn
adaptive agents and multi-agents systems 1133 -1134
2
2011
Synchronization of Iterative Methods for Solving Optimization Problems with Concurrent Methods for Forecasting in Stream Computing
Pascal Pompey , Martin Mevissen , Mathieu Sinn , Jakub Marecek
1
2016
Non-parametric estimation of Jensen-Shannon Divergence in Generative Adversarial Network training
Mathieu Sinn , Ambrish Rawat
arXiv: Machine Learning
14
2017
Exploring the Hyperparameter Landscape of Adversarial Robustness.
Mathieu Sinn , Deepak Vijaykeerthy , Anupama Murthi , Evelyn Duesterwald
arXiv: Learning
7
2019
Adversarial Robustness Toolbox v1.0.0
Maria-Irina Nicolae , Mathieu Sinn , Minh Ngoc Tran , Beat Buesser
arXiv: Learning
358
2018
IBM Federated Learning: an Enterprise Framework White Paper V0.1
Heiko Ludwig , Nathalie Baracaldo , Gegi Thomas , Yi Zhou
arXiv: Learning
66
2020
FAT: Federated Adversarial Training.
Mathieu Sinn , Beat Buesser , Ambrish Rawat , Giulio Zizzo
arXiv: Learning
20
2020
Structured Dimensionality Reduction for Additive Model Regression
Alhussein Fawzi , Jean-Baptiste Fiot , Bei Chen , Mathieu Sinn
IEEE Transactions on Knowledge and Data Engineering 28 ( 6) 1589 -1601
2
2016
Estimation of ordinal pattern probabilities in Gaussian processes with stationary increments
Mathieu Sinn , Karsten Keller
Computational Statistics & Data Analysis 55 ( 4) 1781 -1790
32
2011
Castor: Contextual IoT Time Series Data and Model Management at Scale
Bei Chen , Bradley Eck , Francesco Fusco , Robert Gormally
2018 IEEE International Conference on Data Mining Workshops (ICDMW) 1487 -1492
5
2018
Improved Electricity Load Forecasting via Kernel Spectral Clustering of Smart Meters
Carlos Alzate , Mathieu Sinn
international conference on data mining 943 -948
40
2013
A scalable demand and renewable energy forecasting system for distribution grids
Vincent P. A. Lonij , Jean-Baptiste Fiot , Bei Chen , Francesco Fusco
power and energy society general meeting 1 -5
7
2016