Stephen A. Allsop

Publication Activity (10 Years)

Years Active: 2017-2019
Publications (10 Years): 5

Top Topics

Nonlinear Dynamics

Neighboring Pixels

Markov Random Field

Streaming Time Series

Top Venues

Publications

Taposh Banerjee, Stephen A. Allsop, Kay M. Tye, Demba E. Ba, Vahid Tarokh
Sequential Detection of Regime Changes in Neural Data. NER (2019)
Alexander Lin, Yingzhuo Zhang, Jeremy Heng, Stephen A. Allsop, Kay M. Tye, Pierre E. Jacob, Demba E. Ba
Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach. AISTATS (2019)
Yingzhuo Zhang, Noa Malem-Shinitski, Stephen A. Allsop, Kay Tye, Demba E. Ba
Estimating a Separably Markov Random Field from Binary Observations. Neural Comput. 30 (4) (2018)
Alexander Lin, Yingzhuo Zhang, Jeremy Heng, Stephen A. Allsop, Kay M. Tye, Pierre E. Jacob, Demba E. Ba
Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach. CoRR (2018)
Yingzhuo Zhang, Noa Malem-Shinitski, Stephen A. Allsop, Kay Tye, Demba E. Ba
Estimating a Separably-Markov Random Field (SMuRF) from Binary Observations. CoRR (2017)