Gabriel Schamberg

22 papers B 5Misc 1Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Predicting opioid consumption after surgical discharge: a multinational derivation and validation study using a foundation model.
npj Digit. Medicine
Chris Varghese, Luke Peters, Lorane Gaborit, William Xu, Aya Basam, Melissa Park, Cameron Wells, Kenneth A. McLean, Gabriel Schamberg, Greg O'Grady, Deborah Wright, Jennifer Martin, Ewen M. Harrison, Peter Pockney, TASMAN Collaborative
2024 J jnl
Dynamic Estimation of Cardiovascular State From Arterial Blood Pressure Recordings.
IEEE Trans. Biomed. Eng.
Taylor E. Baum, Elie M. Adam, Christian S. Guay, Gabriel Schamberg, Mohammadreza Kazemi, Thomas Heldt, Emery N. Brown
2023 B conf
Capturing and Interpreting Unique Information.
ISIT
Praveen Venkatesh, Keerthana Gurushankar, Gabriel Schamberg
2023 J jnl
Capturing and Interpreting Unique Information.
CoRR
Praveen Venkatesh, Keerthana Gurushankar, Gabriel Schamberg
2022 J jnl
Continuous action deep reinforcement learning for propofol dosing during general anesthesia.
Artif. Intell. Medicine
Gabriel Schamberg, Marcus A. Badgeley, Benyamin Meschede-Krasa, Ohyoon Kwon, Emery N. Brown
2022 B conf
Partial Information Decomposition via Deficiency for Multivariate Gaussians.
ISIT
Praveen Venkatesh, Gabriel Schamberg
2021 J jnl
Partial Information Decomposition via Deficiency for Multivariate Gaussians.
CoRR
Gabriel Schamberg, Praveen Venkatesh
2021 J jnl
Unscented Kalman Filter for Long-Distance Vessel Tracking in Geodetic Coordinates.
CoRR
Blake Cole, Gabriel Schamberg
2020 B conf
Controlling Level of Unconsciousness by Titrating Propofol with Deep Reinforcement Learning.
AIME
Gabriel Schamberg, Marcus A. Badgeley, Emery N. Brown
2020 J jnl
Direct and Indirect Effects - An Information Theoretic Perspective.
Entropy
Gabriel Schamberg, William Chapman, Shang-Ping Xie, Todd P. Coleman
2020 Misc conf
Inferring neural dynamics during burst suppression using a neurophysiology-inspired switching state-space model.
ACSSC
Gabriel Schamberg, Sourish Chakravarty, Taylor E. Baum, Emery N. Brown
2020 J jnl
Measuring Sample Path Causal Influences With Relative Entropy.
IEEE Trans. Inf. Theory
Gabriel Schamberg, Todd P. Coleman
2019 J jnl
Direct and Indirect Effects - An Information Theoretic Perspective.
CoRR
Gabriel Schamberg, William Chapman, Shang-Ping Xie, Todd P. Coleman
2019 — —
Information Theoretic Measures and Estimators of Specific Causal Influences.
Gabriel Schamberg
2019 B conf
On the Bias of Directed Information Estimators.
ISIT
Gabriel Schamberg, Todd P. Coleman
2019 J jnl
On the Bias of Directed Information Estimators.
CoRR
Gabriel Schamberg, Todd P. Coleman
2018 J jnl
A Modularized Efficient Framework for Non-Markov Time Series Estimation.
IEEE Trans. Signal Process.
Gabriel Schamberg, Demba E. Ba, Todd P. Coleman
2018 B conf
A Sample Path Measure of Causal Influence.
ISIT
Gabriel Schamberg, Todd P. Coleman
2018 J jnl
A Sample Path Measure of Causal Influence.
CoRR
Gabriel Schamberg, Todd P. Coleman
2018 J jnl
Measuring Sample Path Causal Influences with Relative Entropy.
CoRR
Gabriel Schamberg, Todd P. Coleman
2017 J jnl
A Modularized Efficient Framework for Non-Markov Time Series Estimation.
CoRR
Gabriel Schamberg, Demba E. Ba, Todd P. Coleman
2016 — conf
Efficient low-rank spectrotemporal decomposition using ADMM.
SSP
Gabriel Schamberg, Demba E. Ba, Mark Wagner, Todd P. Coleman