Gabriel Schamberg

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 19

Top Topics

Information Theoretic

Unscented Kalman Filter

Bregman Divergences

Top Venues

Artif. Intell. Medicine

IEEE Trans. Inf. Theory

Publications

Praveen Venkatesh, Keerthana Gurushankar, Gabriel Schamberg
Capturing and Interpreting Unique Information. ISIT (2023)
Praveen Venkatesh, Keerthana Gurushankar, Gabriel Schamberg
Capturing and Interpreting Unique Information. CoRR (2023)
Praveen Venkatesh, Gabriel Schamberg
Partial Information Decomposition via Deficiency for Multivariate Gaussians. ISIT (2022)
Gabriel Schamberg, Marcus A. Badgeley, Benyamin Meschede-Krasa, Ohyoon Kwon, Emery N. Brown
Continuous action deep reinforcement learning for propofol dosing during general anesthesia. Artif. Intell. Medicine 123 (2022)
Gabriel Schamberg, Praveen Venkatesh
Partial Information Decomposition via Deficiency for Multivariate Gaussians. CoRR (2021)
Blake Cole, Gabriel Schamberg
Unscented Kalman Filter for Long-Distance Vessel Tracking in Geodetic Coordinates. CoRR (2021)
Gabriel Schamberg, Sourish Chakravarty, Taylor E. Baum, Emery N. Brown
Inferring neural dynamics during burst suppression using a neurophysiology-inspired switching state-space model. ACSSC (2020)
Gabriel Schamberg, Todd P. Coleman
Measuring Sample Path Causal Influences With Relative Entropy. IEEE Trans. Inf. Theory 66 (5) (2020)
Gabriel Schamberg, Marcus A. Badgeley, Emery N. Brown
Controlling Level of Unconsciousness by Titrating Propofol with Deep Reinforcement Learning. AIME (2020)
Gabriel Schamberg, William Chapman, Shang-Ping Xie, Todd P. Coleman
Direct and Indirect Effects - An Information Theoretic Perspective. Entropy 22 (8) (2020)
Gabriel Schamberg, Todd P. Coleman
On the Bias of Directed Information Estimators. ISIT (2019)
Gabriel Schamberg, Todd P. Coleman
On the Bias of Directed Information Estimators. CoRR (2019)
Gabriel Schamberg, William Chapman, Shang-Ping Xie, Todd P. Coleman
Direct and Indirect Effects - An Information Theoretic Perspective. CoRR (2019)
Gabriel Schamberg, Todd P. Coleman
A Sample Path Measure of Causal Influence. CoRR (2018)
Gabriel Schamberg, Todd P. Coleman
A Sample Path Measure of Causal Influence. ISIT (2018)
Gabriel Schamberg, Todd P. Coleman
Measuring Sample Path Causal Influences with Relative Entropy. CoRR (2018)
Gabriel Schamberg, Demba E. Ba, Todd P. Coleman
A Modularized Efficient Framework for Non-Markov Time Series Estimation. IEEE Trans. Signal Process. 66 (12) (2018)
Gabriel Schamberg, Demba E. Ba, Todd P. Coleman
A Modularized Efficient Framework for Non-Markov Time Series Estimation. CoRR (2017)
Gabriel Schamberg, Demba E. Ba, Mark Wagner, Todd P. Coleman
Efficient low-rank spectrotemporal decomposition using ADMM. SSP (2016)