Christopher Rozell

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 17

Top Topics

Discriminative Classifiers

Pool Based Active Learning

Top Venues

Publications

Noga Mudrik, Eva Yezerets, Yenho Chen, Christopher Rozell, Adam S. Charles
LINOCS: Lookahead Inference of Networked Operators for Continuous Stability. CoRR (2024)
Matthew R. O'Shaughnessy, Mark A. Davenport, Christopher Rozell
Distance preservation in state-space methods for detecting causal interactions in dynamical systems. CoRR (2023)
Elif Ceren Fitoz, Sankaraleengam Alagapan, Allison C. Waters, Vineet Tiruvadi, Ashan Veerakumar, Mosadoluwa Obatusin, Ki Sueng Choi, Andrea Crowell, Patricio Riva-Posse, Robert J. Butera, Helen S. Mayberg, Christopher Rozell
Exploration of acute effects of stimulation frequency on subcallosal cingulate dynamics in SCC DBS. NER (2023)
Marissa Connor, Bruno A. Olshausen, Christopher Rozell
Learning Internal Representations of 3D Transformations from 2D Projected Inputs. CoRR (2023)
Marissa Connor, Gregory Canal, Christopher Rozell
Variational Autoencoder with Learned Latent Structure. AISTATS (2021)
Gregory Canal, Matthieu R. Bloch, Christopher Rozell
Feedback Coding for Active Learning. AISTATS (2021)
Jonathan Zia, Jacob Kimball, Christopher Rozell, Omer T. Inan
Harnessing the Manifold Structure of Cardiomechanical Signals for Physiological Monitoring During Hemorrhage. IEEE Trans. Biomed. Eng. 68 (6) (2021)
Peter Lawrence Brown, Matthew R. O'Shaughnessy, Christopher Rozell, Justin Romberg, Michael P. Flynn
A 17.8-MS/s Compressed Sensing Radar Accelerator Using a Spiking Neural Network. IEEE J. Solid State Circuits 56 (3) (2021)
Marissa Connor, Kion Fallah, Christopher Rozell
Learning Identity-Preserving Transformations on Data Manifolds. CoRR (2021)
Gregory Canal, Matthieu R. Bloch, Christopher Rozell
Feedback Coding for Active Learning. CoRR (2021)
Gregory Canal, Stefano Fenu, Christopher Rozell
Active Ordinal Querying for Tuplewise Similarity Learning. AAAI (2020)
Matthew R. O'Shaughnessy, Gregory Canal, Marissa Connor, Mark A. Davenport, Christopher Rozell
Generative causal explanations of black-box classifiers. CoRR (2020)
Matthew R. O'Shaughnessy, Gregory Canal, Marissa Connor, Christopher Rozell, Mark A. Davenport
Generative causal explanations of black-box classifiers. NeurIPS (2020)
Marissa Connor, Christopher Rozell
Representing Closed Transformation Paths in Encoded Network Latent Space. AAAI (2020)
Kion Fallah, Adam Willats, Ninghao Liu, Christopher Rozell
Learning sparse codes from compressed representations with biologically plausible local wiring constraints. NeurIPS (2020)
Marissa Connor, Christopher Rozell
Representing Closed Transformation Paths in Encoded Network Latent Space. CoRR (2019)
John Lee, Max Dabagia, Eva L. Dyer, Christopher Rozell
Hierarchical Optimal Transport for Multimodal Distribution Alignment. NeurIPS (2019)
Mary Simoni, Benjamin Broening, Christopher Rozell, Colin Meek, Gregory H. Wakefield
A Theoretical Framework for Electro-Acoustic Music. ICMC (1999)