Pierre E. Jacob

According to our database, Pierre E. Jacob authored at least 7 papers between 2013 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections.

Kimia Nadjahi, Alain Durmus, Pierre E. Jacob, Roland Badeau, Umut Simsekli

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Estimating Convergence of Markov chains with L-Lag Couplings.

Niloy Biswas, Pierre E. Jacob, Paul Vanetti

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Unbiased Smoothing using Particle Independent Metropolis-Hastings.

Lawrece Middleton, George Deligiannidis, Arnaud Doucet, Pierre E. Jacob

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach.

Alexander Lin, Yingzhuo Zhang, Jeremy Heng, Stephen A. Allsop, Kay M. Tye, Pierre E. Jacob, Demba E. Ba

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Bayesian Inference in Non-Markovian State-Space Models With Applications to Battery Fractional-Order Systems.

Pierre E. Jacob, Seyed Mohammad Mahdi Alavi, Adam Mahdi, Stephen J. Payne, David A. Howey

IEEE Trans. Control. Syst. Technol., 2018

2015

Path storage in the particle filter.

Pierre E. Jacob, Lawrence M. Murray, Sylvain Rubenthaler

Stat. Comput., 2015

2013

Rethinking resampling in the particle filter on graphics processing units

Lawrence M. Murray, Anthony Lee, Pierre E. Jacob

CoRR, 2013