Michael Houston

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 13

Top Topics

General Linear Model

Top Venues

IEEE Trans. Instrum. Meas.

Publications

Gang Seo, Michael Houston, Manuel Portilla, Feng Fang, Jeong-Ho Park, Hangil Lee, Sheng Li, Hyung-Soon Park, Yingchun Zhang, Jinsook Roh
Expanding the repertoire of intermuscular coordination patterns and modulating intermuscular connectivity in stroke-affected upper extremity through electromyogram-guided training: a pilot study. EMBC (2023)
Yunyuan Gao, Biao Jia, Michael Houston, Yingchun Zhang
Hybrid EEG-fNIRS Brain Computer Interface Based on Common Spatial Pattern by Using EEG-Informed General Linear Model. IEEE Trans. Instrum. Meas. 72 (2023)
Michael Houston, Nicholas Dias, Theresa Spitznagle, Marcie Harris-Hayes, H. Henry Lai, Yingchun Zhang
Image Segmentation for High-Density Surface Electromyography Mappings of Pelvic Floor Muscle Activity of Women with Interstitial Cystitis/Bladder Pain Syndrome. EMBC (2023)
Shaden Smith, Mostofa Patwary, Brandon Norick, Patrick LeGresley, Samyam Rajbhandari, Jared Casper, Zhun Liu, Shrimai Prabhumoye, George Zerveas, Vijay Korthikanti, Elton Zheng, Rewon Child, Reza Yazdani Aminabadi, Julie Bernauer, Xia Song, Mohammad Shoeybi, Yuxiong He, Michael Houston, Saurabh Tiwary, Bryan Catanzaro
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model. CoRR (2022)
Michael Houston, Albon Wu, Yingchun Zhang
Optimizing Input for Gesture Recognition using Convolutional Networks on HD-sEMG Instantaneous Images. EMBC (2021)
Michael Houston, Rihui Li, Jinsook Roh, Yingchun Zhang
Altered Muscle Networks in Post-Stroke Survivors. EMBC (2020)
Liu Yang, Prabhat, George E. Karniadakis, Sean Treichler, Thorsten Kurth, Keno Fischer, David A. Barajas-Solano, Joshua Romero, Valentin Churavy, Alexandre M. Tartakovsky, Michael Houston
Highly-Ccalable, Physics-Informed GANs for Learning Solutions of Stochastic PDEs. DLS@SC (2019)
Liu Yang, Sean Treichler, Thorsten Kurth, Keno Fischer, David A. Barajas-Solano, Joshua Romero, Valentin Churavy, Alexandre M. Tartakovsky, Michael Houston, Prabhat, George E. Karniadakis
Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs. CoRR (2019)
Feng Fang, Michael Houston, Sasha Walker, Thinh Nguyen, Tom Potter, Yingchun Zhang
Underlying modulators of frontal global field potentials in emotion regulation: an EEG-informed fMRI study. NER (2019)
Thorsten Kurth, Sean Treichler, Joshua Romero, Mayur Mudigonda, Nathan Luehr, Everett H. Phillips, Ankur Mahesh, Michael A. Matheson, Jack Deslippe, Massimiliano Fatica, Prabhat, Michael Houston
Exascale deep learning for climate analytics. SC (2018)
Thorsten Kurth, Sean Treichler, Joshua Romero, Mayur Mudigonda, Nathan Luehr, Everett H. Phillips, Ankur Mahesh, Michael A. Matheson, Jack Deslippe, Massimiliano Fatica, Prabhat, Michael Houston
Exascale Deep Learning for Climate Analytics. CoRR (2018)
Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory F. Diamos, Erich Elsen, David García, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu
Mixed Precision Training. ICLR (Poster) (2018)
Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory F. Diamos, Erich Elsen, David García, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu
Mixed Precision Training. CoRR (2017)
Francisco J. Cazorla, Eduardo Quiñones, Tullio Vardanega, Liliana Cucu, Benoit Triquet, Guillem Bernat, Emery D. Berger, Jaume Abella, Franck Wartel, Michael Houston, Luca Santinelli, Leonidas Kosmidis, Code Lo, Dorin Maxim
PROARTIS: Probabilistically Analyzable Real-Time Systems. ACM Trans. Embed. Comput. Syst. 12 (2s) (2013)
Liliana Cucu-Grosjean, Luca Santinelli, Michael Houston, Code Lo, Tullio Vardanega, Leonidas Kosmidis, Jaume Abella, Enrico Mezzetti, Eduardo Quiñones, Francisco J. Cazorla
Measurement-Based Probabilistic Timing Analysis for Multi-path Programs. ECRTS (2012)
Mike Gerdes, Julian Wolf, Irakli Guliashvili, Theo Ungerer, Michael Houston, Guillem Bernat, Stefan Schnitzler, Hans Regler
Large drilling machine control code - Parallelisation and WCET speedup. SIES (2011)
Derek K. Gerstmann, Toby Potter, Michael Houston, Paul Bourke, Kwan-Liu Ma, Andreas Wicenec
A practical visualization strategy for large-scale supernovae CFD simulations. SIGGRAPH Asia Sketches (2011)
Jayanth Gummaraju, Laurent Morichetti, Michael Houston, Ben Sander, Benedict R. Gaster, Bixia Zheng
Twin peaks: a software platform for heterogeneous computing on general-purpose and graphics processors. PACT (2010)
Budirijanto Purnomo, Norman Rubin, Michael Houston
ATI Stream Profiler: a tool to optimize an OpenCL kernel on ATI Radeon GPUs. SIGGRAPH Posters (2010)
Theo Ungerer, Francisco J. Cazorla, Pascal Sainrat, Guillem Bernat, Zlatko Petrov, Christine Rochange, Eduardo Quiñones, Mike Gerdes, Marco Paolieri, Julian Wolf, Hugues Cassé, Sascha Uhrig, Irakli Guliashvili, Michael Houston, Florian Kluge, Stefan Metzlaff, Jörg Mische
Merasa: Multicore Execution of Hard Real-Time Applications Supporting Analyzability. IEEE Micro 30 (5) (2010)
Anthony J. Sherbondy, Michael Houston, Sandy Napel
Fast Volume Segmentation With Simultaneous Visualization Using Programmable Graphics Hardware. IEEE Visualization (2003)