Michal Gerasimiuk

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 6

Top Topics

Geographically Distributed

Learning Scheme

Top Venues

Publications

Karthik Sriram, Raghavendra Pradyumna Pothukuchi, Michal Gerasimiuk, Muhammed Ugur, Oliver Ye, Rajit Manohar, Anurag Khandelwal, Abhishek Bhattacharjee
SCALO: An Accelerator-Rich Distributed System for Scalable Brain-Computer Interfacing. ISCA (2023)
Karthik Sriram, Raghavendra Pradyumna Pothukuchi, Michal Gerasimiuk, Oliver Ye, Muhammed Ugur, Rajit Manohar, Anurag Khandelwal, Abhishek Bhattacharjee
A Multi-Site Accelerator-Rich Processing Fabric for Scalable Brain-Computer Interfacing. CoRR (2023)
Jessie Huang, Erica L. Busch, Tom Wallenstein, Michal Gerasimiuk, Andrew Benz, Guillaume Lajoie, Guy Wolf, Nicholas B. Turk-Browne, Smita Krishnaswamy
Learning shared neural manifolds from multi-subject FMRI data. CoRR (2022)
Jessie Huang, Erica L. Busch, Tom Wallenstein, Michal Gerasimiuk, Andrew Benz, Guillaume Lajoie, Guy Wolf, Nicholas B. Turk-Browne, Smita Krishnaswamy
Learning Shared Neural Manifolds from Multi-Subject FMRI Data. MLSP (2022)
Michal Gerasimiuk, Dennis L. Shung, Alexander Tong, Adrian J. Stanley, Michael Schultz, Jeffrey Ngu, Loren Laine, Guy Wolf, Smita Krishnaswamy
MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data. CoRR (2021)
Michal Gerasimiuk, Dennis L. Shung, Alexander Tong, Adrian J. Stanley, Michael Schultz, Jeffrey Ngu, Loren Laine, Guy Wolf, Smita Krishnaswamy
MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data. IEEE BigData (2021)