Mathieu Sinn - RankMe

47 papers A* 1A 6B 1Misc 1Journal 22Unranked 15

Year	Rank	Type	Title / Venue / Authors
2022	—	`conf`	DLPFS: The Data Leakage Prevention FileSystem. ACNS Workshops Stefano Braghin, Marco Simioni, Mathieu Sinn
2022	—	`conf`	The Devil Is in the GAN: Backdoor Attacks and Defenses in Deep Generative Models. ESORICS (3) Ambrish Rawat, Killian Levacher, Mathieu Sinn
2022	J	`jnl`	Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach. CoRR Nathalie Baracaldo, Ali Anwar, Mark Purcell, Ambrish Rawat, Mathieu Sinn, Bashar Altakrouri, Dian Balta, Mahdi Sellami, Peter Kuhn, Ulrich Schöpp, Matthias Buchinger
2021	—	`conf`	Accountable Federated Machine Learning in Government: Engineering and Management Insights. ePart Dian Balta, Mahdi Sellami, Peter Kuhn, Ulrich Schöpp, Matthias Buchinger, Nathalie Baracaldo, Ali Anwar, Heiko Ludwig, Mathieu Sinn, Mark Purcell, Bashar Altakrouri
2021	J	`jnl`	Automated Robustness with Adversarial Training as a Post-Processing Step. CoRR Ambrish Rawat, Mathieu Sinn, Beat Buesser
2021	J	`jnl`	Certified Federated Adversarial Training. CoRR Giulio Zizzo, Ambrish Rawat, Mathieu Sinn, Sergio Maffeis, Chris Hankin
2021	J	`jnl`	DLPFS: The Data Leakage Prevention FileSystem. CoRR Stefano Braghin, Marco Simioni, Mathieu Sinn
2021	J	`jnl`	The Devil is in the GAN: Defending Deep Generative Models Against Backdoor Attacks. CoRR Ambrish Rawat, Killian Levacher, Mathieu Sinn
2020	J	`jnl`	FAT: Federated Adversarial Training. CoRR Giulio Zizzo, Ambrish Rawat, Mathieu Sinn, Beat Buesser
2020	J	`jnl`	IBM Federated Learning: an Enterprise Framework White Paper V0.1. CoRR Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas, Yi Zhou, Ali Anwar, Shashank Rajamoni, Yuya Jeremy Ong, Jayaram Radhakrishnan, Ashish Verma, Mathieu Sinn, Mark Purcell, Ambrish Rawat, Tran Ngoc Minh, Naoise Holohan, Supriyo Chakraborty, Shalisha Witherspoon, Dean Steuer, Laura Wynter, Hifaz Hassan, Sean Laguna, Mikhail Yurochkin, Mayank Agarwal, Ebube Chuba, Annie Abay
2019	—	`ed.`	ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML Carlos Alzate, Anna Monreale, Haytham Assem, Albert Bifet, Teodora Sandra Buda, Bora Caglayan, Brett Drury, Eva García-Martín, Ricard Gavaldà, Stefan Kramer, Niklas Lavesson, Michael Madden, Ian M. Molloy, Maria-Irina Nicolae, Mathieu Sinn
2019	J	`jnl`	Exploring the Hyperparameter Landscape of Adversarial Robustness. CoRR Evelyn Duesterwald, Anupama Murthi, Ganesh Venkataraman, Mathieu Sinn, Deepak Vijaykeerthy
2018	J	`jnl`	Adversarial Robustness Toolbox v0.2.2. CoRR Maria-Irina Nicolae, Mathieu Sinn, Tran Ngoc Minh, Ambrish Rawat, Martin Wistuba, Valentina Zantedeschi, Ian M. Molloy, Benjamin Edwards
2018	J	`jnl`	Automated Image Data Preprocessing with Deep Reinforcement Learning. CoRR Tran Ngoc Minh, Mathieu Sinn, Hoang Thanh Lam, Martin Wistuba
2018	—	`conf`	Castor: Contextual IoT Time Series Data and Model Management at Scale. ICDM Workshops Bei Chen, Bradley Eck, Francesco Fusco, Robert Gormally, Mark Purcell, Mathieu Sinn, Seshu Tirupathi
2018	J	`jnl`	Learning Correlation Space for Time Series. CoRR Han Qiu, Hoang Thanh Lam, Francesco Fusco, Mathieu Sinn
2018	J	`jnl`	Learning Features For Relational Data. CoRR Hoang Thanh Lam, Tran Ngoc Minh, Mathieu Sinn, Beat Buesser, Martin Wistuba
2018	A	`conf`	Non-parametric estimation of Jensen-Shannon Divergence in Generative Adversarial Network training. AISTATS Mathieu Sinn, Ambrish Rawat
2017	Misc	`conf`	Cross-correlations of zero crossings in jointly Gaussian and stationary processes with zero means. ICASSP Magnus Mossberg, Mathieu Sinn
2017	J	`jnl`	Multitask Additive Models With Shared Transfer Functions Based on Dictionary Learning. IEEE Trans. Signal Process. Alhussein Fawzi, Mathieu Sinn, Pascal Frossard
2017	J	`jnl`	One button machine for automating feature engineering in relational databases. CoRR Hoang Thanh Lam, Johann-Michael Thiebaut, Mathieu Sinn, Bei Chen, Tiep Mai, Oznur Alkan
2016	—	`conf`	Data Management System for Energy Analytics and its Application to Forecasting. EDBT/ICDT Workshops Francesco Fusco, Ulrike Fischer, Vincent P. A. Lonij, Pascal Pompey, Jean-Baptiste Fiot, Bei Chen, Yiannis Gkoufas, Mathieu Sinn
2016	J	`jnl`	Enabling coupled models to predict the business impact of weather on electric utilities. IBM J. Res. Dev. Lloyd A. Treinish, James P. Cipriani, Anthony Praino, Amith Singhee, H. Wang, Mathieu Sinn, Vincent P. A. Lonij, Jean-Baptiste Fiot, B. Chen
2016	J	`jnl`	Managing uncertainty in electricity generation and demand forecasting. IBM J. Res. Dev. Kevin Warren, Ron F. Ambrosio, Bei Chen, Yuhui Fu, Soumyadip Ghosh, Dzung T. Phan, Mathieu Sinn, Chunhua Tian, Chandu Visweswariah
2016	J	`jnl`	Structured Dimensionality Reduction for Additive Model Regression. IEEE Trans. Knowl. Data Eng. Alhussein Fawzi, Jean-Baptiste Fiot, Bei Chen, Mathieu Sinn, Pascal Frossard
2015	—	`conf`	Forecasting Uncertainty in Electricity Demand. AAAI Workshop: Computational Sustainability Tri Kurniawan Wijaya, Mathieu Sinn, Bei Chen
2015	J	`jnl`	Multi-task additive models with shared transfer functions based on dictionary learning. CoRR Alhussein Fawzi, Mathieu Sinn, Pascal Frossard
2014	—	`conf`	Energy demand forecasting: industry practices and challenges. e-Energy Mathieu Sinn
2014	B	`conf`	Statistical Anomaly Detection in Mean and Variation of Energy Consumption. ICPR Bei Chen, Mathieu Sinn, Joern Ploennigs, Anika Schumann
2013	J	`jnl`	Analytical results on the Beauchemin model of lymphocyte migration. BMC Bioinform. Johannes Textor, Mathieu Sinn, Rob J. De Boer
2013	A	`conf`	Central Limit Theorems for Conditional Markov Chains. AISTATS Mathieu Sinn, Bei Chen
2013	A*	`conf`	Improved Electricity Load Forecasting via Kernel Spectral Clustering of Smart Meters. ICDM Carlos Alzate, Mathieu Sinn
2013	—	`conf`	Integrated state estimation and load modelling for distribution grids with ampere measurements. ISGT Europe Francesco Fusco, Mathieu Sinn
2013	—	`conf`	The effect of feedback in the assignment problem in shared bicycle systems. ICCVE Arieh Schlote, Bei Chen, Mathieu Sinn, Robert Shorten
2013	—	`conf`	Uncertainty in urban mobility: Predicting waiting times for shared bicycles and parking lots. ITSC Bei Chen, Fabio Pinelli, Mathieu Sinn, Adi Botea, Francesco Calabrese
2012	—	`conf`	Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting. NIPS Amadou Ba, Mathieu Sinn, Yannig Goude, Pascal Pompey
2012	J	`jnl`	Comparative Analysis of Probabilistic Models for Activity Recognition with an Instrumented Walker CoRR Farheen Omar, Mathieu Sinn, Jakub Truszkowski, Pascal Poupart, James Yungjen Tung, Allen Caine
2012	J	`jnl`	Detecting Change-Points in Time Series by Maximum Mean Discrepancy of Ordinal Pattern Distributions CoRR Mathieu Sinn, Ali Ghodsi, Karsten Keller
2012	A	`conf`	Detecting Change-Points in Time Series by Maximum Mean Discrepancy of Ordinal Pattern Distributions. UAI Mathieu Sinn, Ali Ghodsi, Karsten Keller
2012	—	`conf`	Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions. NIPS Mathieu Sinn, Bei Chen
2012	—	`conf`	Predicting arrival times of buses using real-time GPS measurements. ITSC Mathieu Sinn, Ji Won Yoon, Francesco Calabrese, Eric Bouillet
2011	—	`conf`	Ambulatory Assessment of Lifestyle Factors for Alzheimer's Disease and Related Dementias. AAAI Spring Symposium: Computational Physiology James Yungjen Tung, Jonathan F. L. Semple, Wei X. Woo, Wei-Shou Hsu, Mathieu Sinn, Eric A. Roy, Pascal Poupart
2011	A	`conf`	Asymptotic Theory for Linear-Chain Conditional Random Fields. AISTATS Mathieu Sinn, Pascal Poupart
2011	—	`conf`	Error Bounds for Online Predictions of Linear-Chain Conditional Random Fields: Application to Activity Recognition for Users of Rolling Walkers. ICMLA (2) Mathieu Sinn, Pascal Poupart
2011	J	`jnl`	Estimation of ordinal pattern probabilities in Gaussian processes with stationary increments. Comput. Stat. Data Anal. Mathieu Sinn, Karsten Keller
2011	A	`conf`	Smart walkers!: enhancing the mobility of the elderly. AAMAS Mathieu Sinn, Pascal Poupart
2010	A	`conf`	Comparative Analysis of Probabilistic Models for Activity Recognition with an Instrumented Walker. UAI Farheen Omar, Mathieu Sinn, Jakub Truszkowski, Pascal Poupart, James Yungjen Tung, Allen Caine